big 1d model for unconditional generation on imagenet.

def imagetransformer_base_10l_8h_big_uncond_dr03_dan_64_2d():
  """big 1d model for unconditional generation on imagenet."""
  hparams = image_transformer2d_base()
  hparams.unconditional = True
  hparams.hidden_size = 512
  hparams.batch_size = 1
  hparams.img_len = 64
  hparams.num_heads = 8
  hparams.filter_size = 2048
  hparams.batch_size = 1
  hparams.max_length = 3075
  hparams.max_length = 14000
  hparams.layer_preprocess_sequence = "none"
  hparams.layer_postprocess_sequence = "dan"
  hparams.layer_prepostprocess_dropout = 0.1
  hparams.dec_attention_type = cia.AttentionType.LOCAL_2D
  hparams.query_shape = (16, 16)
  hparams.memory_flange = (8, 8)
  return hparams