code: def export(
      self, *, overwrite: bool
  ) -> "_TorchDistributedEnvironment":
      # See the "Environment variable initialization" section from
      # https://pytorch.org/docs/stable/distributed.html for the complete list of
      # environment variables required for the env:// initialization method.
      env_vars = {
          "MASTER_ADDR": self.master_addr,
          "MASTER_PORT": str(self.master_port),
          "RANK": str(self.rank),
          "WORLD_SIZE": str(self.world_size),
          "LOCAL_RANK": str(self.local_rank),
          "LOCAL_WORLD_SIZE": str(self.local_world_size),
      }
      if not overwrite:
          for k, v in env_vars.items():
              _check_env_variable(k, v)
  
      os.environ.update(env_vars)
      return self
  
imports: import os
  import random
  import re
  import socket
  from typing import Dict, List
  import torch
  import torch.distributed
label_desc: Use image node_id 5 for calling the _TorchDistributedEnvironment obj's underlying member method code with example usage: obj.export() and returns: self