code: def construct_torch_dist_launcher_cmd(
      num_trainers: int,
      num_nodes: int,
      node_rank: int,
      master_addr: str,
      master_port: int,
  ) -> str:
      """Constructs the torch distributed launcher command.
      Helper function.
  
      Args:
          num_trainers:
          num_nodes:
          node_rank:
          master_addr:
          master_port:
  
      Returns:
          cmd_str.
      """
      torch_cmd_template = (
          "-m torch.distributed.launch "
          "--nproc_per_node={nproc_per_node} "
          "--nnodes={nnodes} "
          "--node_rank={node_rank} "
          "--master_addr={master_addr} "
          "--master_port={master_port}"
      )
      return torch_cmd_template.format(
          nproc_per_node=num_trainers,
          nnodes=num_nodes,
          node_rank=node_rank,
          master_addr=master_addr,
          master_port=master_port,
      )
  
imports: import argparse
  import json
  import logging
  import multiprocessing
  import os
  import re
  import signal
  import stat
  import subprocess
  import sys
  import time
  from functools import partial
  from threading import Thread
  from typing import Optional
label_desc: Use image node_id 7 for calling a global function with example usage: construct_torch_dist_launcher_cmd(num_trainers, num_nodes, node_rank, master_addr, master_port) and returns: torch_cmd_template