code: def main():
      args = parse_args()
      port = 8888
      num_gpus = int(os.environ["SM_NUM_GPUS"])
      hosts = json.loads(os.environ["SM_HOSTS"])
      num_nodes = len(hosts)
      current_host = os.environ["SM_CURRENT_HOST"]
      rank = hosts.index(current_host)
      os.environ["NCCL_DEBUG"] = "INFO"
  
      if num_nodes > 1:
          cmd = f"""python -m torch.distributed.launch \
                  --nnodes={num_nodes}  \
                  --node_rank={rank}  \
                  --nproc_per_node={num_gpus}  \
                  --master_addr={hosts[0]}  \
                  --master_port={port} \
                  ./run_glue.py \
                  {"".join([f" --{parameter} {value}" for parameter,value in args.__dict__.items()])}"""
      else:
          cmd = f"""python -m torch.distributed.launch \
              --nproc_per_node={num_gpus}  \
              ./run_glue.py \
              {"".join([f" --{parameter} {value}" for parameter,value in args.__dict__.items()])}"""
      try:
          subprocess.run(cmd, shell=True)
      except Exception as e:
          logger.info(e)
  
imports: import json
  import logging
  import os
  import subprocess
  from argparse import ArgumentParser
label_desc: Use image node_id 2 for calling a global function with example usage: main() without return types