code: def _parse_args():
      parser = ArgumentParser(
          description=__doc__,
          formatter_class=RawTextHelpFormatter,
      )
      parser.add_argument(
          "--tedlium-path",
          type=pathlib.Path,
          help="Path to TED-LIUM release 3 dataset.",
      )
      parser.add_argument(
          "--use-cuda",
          action="store_true",
          default=False,
          help="Run using CUDA.",
      )
      parser.add_argument(
          "--debug",
          action="store_true",
          help="whether to use debug level for logging",
      )
      return parser.parse_args()
  
file_path: audio/examples/asr/emformer_rnnt/tedlium3/eval_pipeline.py
imports: import logging
  import pathlib
  from argparse import ArgumentParser, RawTextHelpFormatter
  import torch
  import torchaudio
  from torchaudio.prototype.pipelines import EMFORMER_RNNT_BASE_TEDLIUM3
label_desc: Use image node_id 4 for calling a global function with example usage: _parse_args() and returns: parser