code: def cli_main():
      args = parse_args()
      init_logger(args.debug)
      model = get_lightning_module(args)
      trainer = get_trainer(args)
      trainer.fit(model)
  
file_path: audio/examples/asr/emformer_rnnt/train.py
imports: import logging
  import pathlib
  from argparse import ArgumentParser
  from common import MODEL_TYPE_LIBRISPEECH, MODEL_TYPE_MUSTC, MODEL_TYPE_TEDLIUM3
  from librispeech.lightning import LibriSpeechRNNTModule
  from mustc.lightning import MuSTCRNNTModule
  from pytorch_lightning import Trainer
  from pytorch_lightning.callbacks import ModelCheckpoint
  from tedlium3.lightning import TEDLIUM3RNNTModule
label_desc: Use image node_id 5 for calling a global function with example usage: cli_main() without return types