code: def cli_main():
      parser = ArgumentParser()
      parser.add_argument(
          "--checkpoint-path",
          default=None,
          type=pathlib.Path,
          help="Path to checkpoint to use for evaluation.",
      )
      parser.add_argument(
          "--exp-dir",
          default=pathlib.Path("./exp"),
          type=pathlib.Path,
          help="Directory to save checkpoints and logs to. (Default: './exp')",
      )
      parser.add_argument(
          "--global-stats-path",
          default=pathlib.Path("global_stats.json"),
          type=pathlib.Path,
          help="Path to JSON file containing feature means and stddevs.",
      )
      parser.add_argument(
          "--librispeech-path",
          type=pathlib.Path,
          help="Path to LibriSpeech datasets.",
          required=True,
      )
      parser.add_argument(
          "--sp-model-path",
          type=pathlib.Path,
          help="Path to SentencePiece model.",
          required=True,
      )
      parser.add_argument(
          "--nodes",
          default=4,
          type=int,
          help="Number of nodes to use for training. (Default: 4)",
      )
      parser.add_argument(
          "--gpus",
          default=8,
          type=int,
          help="Number of GPUs per node to use for training. (Default: 8)",
      )
      parser.add_argument(
          "--epochs",
          default=120,
          type=int,
          help="Number of epochs to train for. (Default: 120)",
      )
      args = parser.parse_args()
      run_train(args)
  
file_path: audio/examples/asr/librispeech_conformer_rnnt/train.py
imports: import pathlib
  from argparse import ArgumentParser
  import sentencepiece
  from lightning import ConformerRNNTModule
  from pytorch_lightning import seed_everything, Trainer
  from pytorch_lightning.callbacks import LearningRateMonitor, ModelCheckpoint
  from pytorch_lightning.strategies import DDPStrategy
  from transforms import get_data_module
label_desc: Use image node_id 2 for calling a global function with example usage: cli_main() without return types