code: def _get_parser():
      parser = ArgumentParser(description="train.py")
      train_opts(parser)
      return parser
  
file_path: OpenNMT-py/onmt/bin/train.py
imports: import torch
  from functools import partial
  from onmt.utils.distributed import ErrorHandler, spawned_train
  from onmt.utils.misc import set_random_seed
  from onmt.utils.logging import init_logger, logger
  from onmt.utils.parse import ArgumentParser
  from onmt.opts import train_opts
  from onmt.train_single import main
label_desc: Use image node_id 2 for calling a global function with example usage: _get_parser() and returns: parser