code: def transformer_sketch():
      """Basic transformer_sketch hparams."""
      hparams = transformer.transformer_small()
      hparams.num_compress_steps = 4
      hparams.batch_size = 32
      hparams.clip_grad_norm = 2.0
      hparams.sampling_method = "random"
      return hparams
  
file_path: tensor2tensor/tensor2tensor/models/research/transformer_sketch.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensor2tensor.layers import common_layers
  from tensor2tensor.models import transformer
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 1 for calling a global function with example usage: transformer_sketch() and returns: hparams