code: def set_hparams_from_args(args):
      """Set hparams overrides from unparsed args list."""
      if not args:
          return
  
      hp_prefix = "--hp_"
      tf.logging.info(
          "Found unparsed command-line arguments. Checking if any "
          "start with %s and interpreting those as hparams "
          "settings.",
          hp_prefix,
      )
  
      pairs = []
      i = 0
      while i < len(args):
          arg = args[i]
          if arg.startswith(hp_prefix):
              pairs.append((arg[len(hp_prefix) :], args[i + 1]))
              i += 2
          else:
              tf.logging.warn("Found unknown flag: %s", arg)
              i += 1
  
      as_hparams = ",".join(
          ["%s=%s" % (key, val) for key, val in pairs]
      )
      if FLAGS.hparams:
          as_hparams = "," + as_hparams
      FLAGS.hparams += as_hparams
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import contextlib
  import os
  import sys
  from tensor2tensor import models
  from tensor2tensor import problems
  from tensor2tensor.data_generators import problem
  from tensor2tensor.utils import cloud_mlengine
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import decoding
  from tensor2tensor.utils import flags
  from tensor2tensor.utils import hparams_lib
  from tensor2tensor.utils import mlperf_log
  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: set_hparams_from_args(args) without return types