code: def main() -> None:
      args = get_args()
      world_size = (
          torch.cuda.device_count()
          if args.n_gpus == -1
          else args.n_gpus
      )
      mp.spawn(
          translate,
          args=(world_size, args),
          nprocs=world_size,
          join=True,
      )
  
file_path: NeMo/examples/nlp/machine_translation/translate_ddp.py
imports: import os
  from argparse import ArgumentParser
  import torch
  import torch.multiprocessing
  from torch.utils.data import DataLoader
  from nemo.collections.nlp.data.language_modeling import TarredSentenceDataset
  from nemo.collections.nlp.data.machine_translation import TarredTranslationDataset
  from nemo.collections.nlp.models.machine_translation.mt_enc_dec_model import MTEncDecModel
  from nemo.utils import logging
label_desc: Use image node_id 3 for calling a global function with example usage: main() without return types