code: def setup_args(parser=None):
      if parser is None:
          parser = ParlaiParser(True, True, "cProfile a training run")
      parser = train_args(parser)
      profile = parser.add_argument_group("Profiler Arguments")
      profile.add_argument(
          "--torch",
          type="bool",
          default=False,
          help="If true, use the torch profiler. Otherwise use cProfile.",
      )
      profile.add_argument(
          "--torch-cuda",
          type="bool",
          default=False,
          help="If true, use the torch cuda profiler. Otherwise use cProfile.",
      )
      profile.add_argument(
          "--debug",
          type="bool",
          default=False,
          help="If true, enter debugger at end of run.",
      )
      profile.set_defaults(num_epochs=1)
      return parser
  
file_path: ParlAI/parlai/scripts/profile_train.py
imports: from parlai.core.params import ParlaiParser
  from parlai.core.script import ParlaiScript, register_script
  from parlai.scripts.train_model import setup_args
  from parlai.scripts.train_model import TrainLoop
  import parlai.utils.logging
  import cProfile
  import io
  import pstats
label_desc: Use image node_id 1 for calling a global function with example usage: setup_args(parser) and returns: parser