code: def parse_args():
      """
      Helper function parsing the command line options
      @retval ArgumentParser
      """
      parser = ArgumentParser(
          description=(
              "PyTorch TPU distributed training launch helper utility that will spawn up multiple distributed processes"
          )
      )
  
      # Optional arguments for the launch helper
      parser.add_argument(
          "--num_cores",
          type=int,
          default=1,
          help="Number of TPU cores to use (1 or 8).",
      )
  
      # positional
      parser.add_argument(
          "training_script",
          type=str,
          help=(
              "The full path to the single TPU training "
              "program/script to be launched in parallel, "
              "followed by all the arguments for the "
              "training script"
          ),
      )
  
      # rest from the training program
      parser.add_argument("training_script_args", nargs=REMAINDER)
  
      return parser.parse_args()
  
imports: import importlib
  import sys
  from argparse import REMAINDER, ArgumentParser
  from pathlib import Path
  import torch_xla.distributed.xla_multiprocessing
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args() and returns: parser