code: def imagetransformer_bas8l_8h_big_uncond_dr03_imgnet():
    
    hparams = imagetransformer_base_14l_8h_big_dr01()
    # num_hidden_layers
    hparams.num_decoder_layers = 8
    hparams.num_heads = 8
    hparams.hidden_size = 512
    hparams.filter_size = 2048
    hparams.layer_prepostprocess_dropout = 0.3
    return hparams
docs: big 1d model for conditional image generation.