code: def cli_main():
      args = parse_args()
      init_logger(args.debug)
      model = get_lightning_module(args)
      if args.use_cuda:
          model = model.to(device="cuda")
      run_eval(model, args.model_type)
  
file_path: audio/examples/asr/emformer_rnnt/eval.py
imports: import logging
  import pathlib
  from argparse import ArgumentParser, RawTextHelpFormatter
  import torch
  import torchaudio
  from common import MODEL_TYPE_LIBRISPEECH, MODEL_TYPE_MUSTC, MODEL_TYPE_TEDLIUM3
  from librispeech.lightning import LibriSpeechRNNTModule
  from mustc.lightning import MuSTCRNNTModule
  from tedlium3.lightning import TEDLIUM3RNNTModule
label_desc: Use image node_id 7 for calling a global function with example usage: cli_main() without return types