code: def imagetransformerpp_base_8l_8h_big_cond_dr03_dan():
    
    hparams = imagetransformerpp_sep_channels_8l_8h()
    hparams.hidden_size = 512
    hparams.num_heads = 8
    hparams.filter_size = 2048
    hparams.batch_size = 4
    hparams.max_length = 3075
    hparams.layer_prepostprocess_dropout = 0.3
    hparams.layer_preprocess_sequence = "none"
    hparams.layer_postprocess_sequence = "dan"
    hparams.summarize_grads = True
    hparams.learning_rate = 0.01
    return hparams
docs: big 1d model for conditional image generation.2.99 on cifar10.