code: def main():
      args = parse_args()
  
      # Import training_script as a module.
      script_fpath = Path(args.training_script)
      sys.path.append(str(script_fpath.parent.resolve()))
      mod_name = script_fpath.stem
      mod = importlib.import_module(mod_name)
  
      # Patch sys.argv
      sys.argv = (
          [args.training_script]
          + args.training_script_args
          + ["--tpu_num_cores", str(args.num_cores)]
      )
      xmp.spawn(mod._mp_fn, args=(), nprocs=args.num_cores)
  
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 2 for calling a global function with example usage: main() without return types