code: def img2img_transformer_tiny():
      """Tiny params."""
      hparams = img2img_transformer2d_base()
      hparams.num_hidden_layers = 2
      hparams.hidden_size = 128
      hparams.batch_size = 4
      hparams.max_length = 128
      hparams.attention_key_channels = (
          hparams.attention_value_channels
      ) = 0
      hparams.filter_size = 128
      hparams.num_heads = 1
      hparams.pos = "timing"
      return hparams
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import copy
  import numpy
  from tensor2tensor.layers import common_hparams
  from tensor2tensor.layers import common_image_attention
  from tensor2tensor.layers import common_layers
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import t2t_model
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 43 for calling a global function with example usage: img2img_transformer_tiny() and returns: hparams