code: def _run_experiment(args):
      level = logging.INFO
      if "RANK" in os.environ and os.environ["RANK"] != "0":
          level = logging.CRITICAL
      logging.getLogger().setLevel(level)
      logging.basicConfig(
          level=level,
          format="%(asctime)s - %(process)d - %(name)s - %(levelname)s - %(message)s",
      )
      from mpc_autograd_cnn import run_mpc_autograd_cnn
  
      run_mpc_autograd_cnn(
          num_epochs=args.epochs,
          learning_rate=args.lr,
          batch_size=args.batch_size,
          print_freq=args.print_freq,
          num_samples=args.num_samples,
      )
  
imports: import argparse
  import logging
  import os
  from examples.multiprocess_launcher import MultiProcessLauncher
label_desc: Use image node_id 2 for calling a global function with example usage: _run_experiment(args) without return types