code: def get_args():
      parser = ArgumentParser(
          description="Batch translation of sentences from a pre-trained model on multiple GPUs"
      )
      parser.add_argument(
          "--model",
          type=str,
          required=True,
          help="Path to the .nemo translation model file",
      )
      parser.add_argument(
          "--text2translate",
          type=str,
          required=True,
          help="Path to the pre-processed tarfiles for translation",
      )
      parser.add_argument(
          "--result_dir",
          type=str,
          required=True,
          help="Folder to write translation results",
      )
      parser.add_argument(
          "--twoside",
          action="store_true",
          help="Set flag when translating the source side of a parallel dataset",
      )
      parser.add_argument(
          "--metadata_path",
          type=str,
          required=True,
          help="Path to the JSON file that contains dataset info",
      )
      parser.add_argument(
          "--topk",
          type=int,
          default=500,
          help="Value of k for topk sampling",
      )
      parser.add_argument(
          "--src_language",
          type=str,
          required=True,
          help="Source lang ID for detokenization",
      )
      parser.add_argument(
          "--tgt_language",
          type=str,
          required=True,
          help="Target lang ID for detokenization",
      )
      parser.add_argument(
          "--reverse_lang_direction",
          action="store_true",
          help="Reverse source and target language direction for parallel dataset",
      )
      parser.add_argument(
          "--n_gpus", type=int, default=1, help="Number of GPUs to use"
      )
      args = parser.parse_args()
      return args
  
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 1 for calling a global function with example usage: get_args() and returns: args