code: def _run_cmd_torchrun(
      cmd: str, **kwargs: Any
  ) -> subprocess.CompletedProcess:
      """
      Run the command with torchrun.
  
      Args:
          cmd: the command to run. Typically it is prepared by ``_prepare_cmd_torchrun``.
          kwargs: the keyword arguments to be passed to the ``torchrun``.
  
      Return:
          the return code of the subprocess command.
      """
      params = kwargs.copy()
  
      cmd_list = cmd.split()
  
      # append arguments to the command list
      torchrun_list = ["torchrun"]
      required_args = ["nnodes", "nproc_per_node"]
      for arg in required_args:
          if arg not in params:
              raise ValueError(
                  f"Missing required argument {arg} for torchrun."
              )
          torchrun_list += [f"--{arg}", str(params.pop(arg))]
      torchrun_list += cmd_list
      return run_cmd(torchrun_list, run_cmd_verbose=True, **params)
  
imports: from __future__ import annotations
  import logging
  import os
  import pickle
  import subprocess
  import sys
  from copy import deepcopy
  from numbers import Number
  from typing import Any, cast
  import numpy
  import torch
  from monai.auto3dseg import Algo
  from monai.bundle.config_parser import ConfigParser
  from monai.bundle.utils import ID_SEP_KEY
  from monai.config import PathLike
  from monai.data.meta_tensor import MetaTensor
  from monai.transforms import CropForeground, ToCupy
  from monai.utils import min_version, optional_import, run_cmd
label_desc: Use image node_id 15 for calling a global function with example usage: _run_cmd_torchrun(cmd) and returns: run_cmd