code: def _parse_args():
      parser = argparse.ArgumentParser(
          description=__doc__,
      )
      parser.add_argument(
          "--model",
          required=True,
          help="Path to the input pretrained weight file.",
      )
      parser.add_argument(
          "--output-path",
          help="Path to the directory, where the Torchscript-ed pipelines are saved.",
      )
      parser.add_argument(
          "--test-file",
          help="Path to a test audio file.",
      )
      parser.add_argument(
          "--quantize",
          action="store_true",
          help="Quantize the model.",
      )
      parser.add_argument(
          "--debug",
          action="store_true",
          help=(
              "When enabled, individual components are separately tested "
              "for the numerical compatibility and TorchScript compatibility."
          ),
      )
      return parser.parse_args()
  
imports: import argparse
  import logging
  import os
  from typing import Tuple
  import torch
  import torchaudio
  from greedy_decoder import Decoder
  from torchaudio.models.wav2vec2.utils.import_huggingface import import_huggingface_model
label_desc: Use image node_id 1 for calling a global function with example usage: _parse_args() and returns: parser