code: def mtf_image_transformer_tiny_spatial2d():
      """Small single parameters."""
      hparams = mtf_image_transformer_tiny()
      hparams.num_decoder_layers = 6
      hparams.filter_size = 128
      hparams.block_height = 8
      hparams.block_width = 8
      hparams.attention_type = "local2d_spatial"
      hparams.mesh_shape = "b1:2,b2:2"
      hparams.layout = "num_h_blocks:b1,num_wblocks:b2"
      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 10 for calling a global function with example usage: mtf_image_transformer_tiny_spatial2d() and returns: hparams