code: def mtf_image_transformer_base_single():
      """Small single parameters."""
      hparams = mtf_image_transformer_base()
      hparams.num_decoder_layers = 6
      hparams.filter_size = 256
      hparams.block_length = 128
      hparams.mesh_shape = ""
      hparams.layout = ""
      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 8 for calling a global function with example usage: mtf_image_transformer_base_single() and returns: hparams