code: def parse_args():
      parser = argparse.ArgumentParser(
          description="Convert the TF Mobile Bert Model to Gluon"
      )
      parser.add_argument(
          "--tf_model_path",
          type=str,
          help="Directory of the model downloaded from TF hub.",
      )
      parser.add_argument(
          "--mobilebert_dir",
          type=str,
          help="Path to the github repository of electra, you may clone it by "
          "`svn checkout https://github.com/google-research/google-research/trunk/mobilebert`.",
      )
      parser.add_argument(
          "--save_dir",
          type=str,
          default=None,
          help="directory path to save the converted Mobile Bert model.",
      )
      parser.add_argument(
          "--gpu",
          type=int,
          default=None,
          help="a single gpu to run mxnet, e.g. 0 or 1 The default device is cpu ",
      )
      parser.add_argument("--test", action="store_true")
      args = parser.parse_args()
      return args
  
imports: import os
  import re
  import json
  import sys
  import shutil
  import logging
  import argparse
  import mxnet
  import numpy
  from numpy.testing import assert_allclose
  from gluonnlp.utils.misc import sha1sum, naming_convention, logging_config
  from gluonnlp.data.tokenizers import HuggingFaceWordPieceTokenizer
  from gluonnlp.models.mobilebert import MobileBertModel, MobileBertForPretrain
  import tensorflow.compat.v1
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args() and returns: args