code: def create_hparams():
      hparams_path = None
      if FLAGS.output_dir:
          hparams_path = os.path.join(FLAGS.output_dir, "hparams.json")
      return trainer_lib.create_hparams(
          FLAGS.hparams_set,
          FLAGS.hparams,
          data_dir=os.path.expanduser(FLAGS.data_dir),
          problem_name=FLAGS.problem,
          hparams_path=hparams_path,
      )
  
file_path: tensor2tensor/tensor2tensor/bin/t2t_decoder.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from tensor2tensor.bin import t2t_trainer
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import text_encoder
  from tensor2tensor.utils import decoding
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import trainer_lib
  from tensor2tensor.utils import usr_dir
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 1 for calling a global function with example usage: create_hparams() and returns: trainer_lib