code: def _run_experiment(args):
      # only worker with rank 0 will display logging information:
      level = logging.INFO
      rank = "0"
      if "RANK" in os.environ and os.environ["RANK"] != "0":
          level = logging.CRITICAL
          rank = os.environ["RANK"]
      logging.getLogger().setLevel(level)
  
      tensorboard_folder = "/tmp/mpc_imagenet/" + rank
      os.makedirs(tensorboard_folder, exist_ok=True)
      run_experiment(
          args.model,
          imagenet_folder=args.imagenet_folder,
          tensorboard_folder=tensorboard_folder,
          num_samples=args.num_samples,
      )
  
imports: import argparse
  import logging
  import os
  from examples.multiprocess_launcher import MultiProcessLauncher
  from mpc_imagenet import run_experiment
label_desc: Use image node_id 1 for calling a global function with example usage: _run_experiment(args) without return types