code: def config_from_args(
      args,
  ) -> Tuple[LaunchConfig, Union[Callable, str], List[str]]:
      # If ``args`` not passed, defaults to ``sys.argv[:1]``
      min_nodes, max_nodes = parse_min_max_nnodes(args.nnodes)
      assert 0 < min_nodes <= max_nodes
      assert args.max_restarts >= 0
  
      if (
          hasattr(args, "master_addr")
          and args.rdzv_backend != "static"
          and not args.rdzv_endpoint
      ):
          log.warning(
              "master_addr is only used for static rdzv_backend and when rdzv_endpoint "
              "is not specified."
          )
  
      nproc_per_node = determine_local_world_size(args.nproc_per_node)
      if "OMP_NUM_THREADS" not in os.environ and nproc_per_node > 1:
          omp_num_threads = 1
          log.warning(
              "\n*****************************************\n"
              "Setting OMP_NUM_THREADS environment variable for each process to be "
              "%s in default, to avoid your system being overloaded, "
              "please further tune the variable for optimal performance in "
              "your application as needed. \n"
              "*****************************************",
              omp_num_threads,
          )
          # This env variable will be passed down to the subprocesses
          os.environ["OMP_NUM_THREADS"] = str(omp_num_threads)
  
      log_line_prefix_template = os.getenv(
          "TORCHELASTIC_LOG_LINE_PREFIX_TEMPLATE"
      )
  
      rdzv_configs = _parse_rendezvous_config(args.rdzv_conf)
  
      if args.rdzv_backend == "static":
          rdzv_configs["rank"] = args.node_rank
  
      rdzv_endpoint = get_rdzv_endpoint(args)
  
      config = LaunchConfig(
          min_nodes=min_nodes,
          max_nodes=max_nodes,
          nproc_per_node=nproc_per_node,
          run_id=args.rdzv_id,
          role=args.role,
          rdzv_endpoint=rdzv_endpoint,
          rdzv_backend=args.rdzv_backend,
          rdzv_configs=rdzv_configs,
          max_restarts=args.max_restarts,
          monitor_interval=args.monitor_interval,
          start_method=args.start_method,
          redirects=Std.from_str(args.redirects),
          tee=Std.from_str(args.tee),
          log_dir=args.log_dir,
          log_line_prefix_template=log_line_prefix_template,
          local_addr=args.local_addr,
      )
  
      with_python = not args.no_python
      cmd: Union[Callable, str]
      cmd_args = []
      use_env = get_use_env(args)
      if args.run_path:
          cmd = run_script_path
          cmd_args.append(args.training_script)
      else:
          if with_python:
              cmd = os.getenv("PYTHON_EXEC", sys.executable)
              cmd_args.append("-u")
              if args.module:
                  cmd_args.append("-m")
              cmd_args.append(args.training_script)
          else:
              if args.module:
                  raise ValueError(
                      "Don't use both the '--no-python' flag"
                      " and the '--module' flag at the same time."
                  )
              cmd = args.training_script
      if not use_env:
          cmd_args.append(f"--local-rank={macros.local_rank}")
      cmd_args.extend(args.training_script_args)
  
      return config, 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 7 for calling a global function with example usage: config_from_args(args) and returns: config,  cmd,  cmd_args