code: def run(args):
      if args.standalone:
          args.rdzv_backend = "c10d"
          args.rdzv_endpoint = "localhost:0"
          args.rdzv_id = str(uuid.uuid4())
          log.info(
              "\n**************************************\n"
              "Rendezvous info:\n"
              "--rdzv-backend=%s "
              "--rdzv-endpoint=%s "
              "--rdzv-id=%s\n"
              "**************************************\n",
              args.rdzv_backend,
              args.rdzv_endpoint,
              args.rdzv_id,
          )
  
      config, cmd, cmd_args = config_from_args(args)
      elastic_launch(
          config=config,
          entrypoint=cmd,
      )(*cmd_args)
  
imports: import logging
  import os
  import sys
  import uuid
  from argparse import REMAINDER, ArgumentParser
  from typing import Callable, List, Tuple, Union
  import torch
  from torch.distributed.argparse_util import check_env, env
  from torch.distributed.elastic.multiprocessing import Std
  from torch.distributed.elastic.multiprocessing.errors import record
  from torch.distributed.elastic.rendezvous.utils import _parse_rendezvous_config
  from torch.distributed.elastic.utils import macros
  from torch.distributed.elastic.utils.logging import get_logger
  from torch.distributed.launcher.api import LaunchConfig, elastic_launch
  from torch.utils.backend_registration import _get_custom_mod_func
label_desc: Use image node_id 9 for calling a global function with example usage: run(args) without return types