code: def mtf_image_transformer_tiny():
      """Catch bugs locally..."""
      hparams = mtf_image_transformer_base()
      hparams.hidden_size = 128
      hparams.d_ff = 256
      hparams.batch_size = 4
      hparams.num_encoder_layers = 1
      hparams.num_decoder_layers = 4
      hparams.num_heads = 4
      hparams.attention_key_size = 128
      hparams.attention_value_size = 128
      hparams.block_length = 32
      # data parallelism and model-parallelism
      hparams.mesh_shape = "batch:2"
      hparams.layout = "batch:batch"
      return hparams
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import copy
  import mesh_tensorflow
  from tensor2tensor.layers import common_hparams
  from tensor2tensor.layers import common_layers
  from tensor2tensor.utils import mtf_model
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 6 for calling a global function with example usage: mtf_image_transformer_tiny() and returns: hparams