hungkvbn

/

test

like 0

• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_11.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_20.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_36.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_40.Sequential",
• "__torch__.torch.nn.modules.conv.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_9.Conv2d",
• "__torch__.model.mobilenet_v2.___torch_mangle_39.InvertedResidual",
• "__torch__.torch.nn.modules.linear.Linear",
• "__torch__.torch.nn.modules.conv.___torch_mangle_16.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_17.Conv2d",
• "__torch__.model.mobilenet_v2.InvertedResidual",
• "__torch__.torch.nn.modules.conv.___torch_mangle_21.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_28.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.BatchNorm2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_4.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_10.Conv2d",
• "__torch__.model.mobilenet_v2.___torch_mangle_24.InvertedResidual",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_22.BatchNorm2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_29.Sequential",
• "__torch__.torch.nn.modules.container.___torch_mangle_18.Sequential",
• "__torch__.torch.nn.modules.activation.GELU",
• "__torch__.torch.nn.modules.container.___torch_mangle_41.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_31.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_6.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_37.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_7.Sequential",
• "__torch__.model.mobilenet_v2.___torch_mangle_30.InvertedResidual",
• "__torch__.torch.nn.modules.conv.___torch_mangle_34.Conv2d",
• "collections.OrderedDict",
• "__torch__.torch.nn.modules.conv.___torch_mangle_14.Conv2d",
• "__torch__.model.mobilenet_v2.___torch_mangle_8.InvertedResidual",
• "__torch__.torch.nn.modules.dropout.Dropout",
• "torch.jit._pickle.build_intlist",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_2.BatchNorm2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_23.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_0.Conv2d",
• "torch.FloatStorage",
• "__torch__.torch.nn.modules.conv.___torch_mangle_27.Conv2d",
• "__torch__.torch.nn.modules.container.Sequential",
• "__torch__.model.mobilenet_v2.MobileNetV2",
• "__torch__.model.mobilenet_v2.___torch_mangle_19.InvertedResidual",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_15.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_5.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_25.Conv2d",
• "__torch__.model.mobilenet_v2.___torch_mangle_13.InvertedResidual",
• "__torch__.torch.nn.modules.container.___torch_mangle_32.Sequential",
• "torch._utils._rebuild_tensor_v2",
• "torch.LongStorage",
• "__torch__.model.mobilenet_v2.___torch_mangle_33.InvertedResidual",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_35.BatchNorm2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_12.Sequential",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_26.BatchNorm2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_38.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_1.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_3.Conv2d"

How to fix it?