def imagetransformer_base_10l_16h_big_dr01_imgnet():
  """big 1d model for conditional image generation."""
  hparams = imagetransformer_base_14l_8h_big_dr01()
  # num_hidden_layers
  hparams.num_decoder_layers = 10
  hparams.num_heads = 16
  hparams.hidden_size = 1024
  hparams.filter_size = 4096
  hparams.batch_size = 1
  hparams.unconditional = False
  hparams.layer_prepostprocess_dropout = 0.1
  return hparams
big 1d model for conditional image generation.