code: def init_distributed(model_config: "ModelConfig"):
      # If not running with a distributed launcher (e.g., deepspeed, torch) set some default environment variables
      required_env = [
          "RANK",
          "WORLD_SIZE",
          "MASTER_ADDR",
          "MASTER_PORT",
          "LOCAL_RANK",
      ]
      if not all([e in os.environ for e in required_env]):
          assert (
              model_config.tensor_parallel == 1
          ), "Attempting to run with TP > 1 and not using a distributed launcher like deepspeed or torch.distributed"
          os.environ["RANK"] = "0"
          os.environ["LOCAL_RANK"] = "0"
          os.environ["WORLD_SIZE"] = "1"
          os.environ["MASTER_ADDR"] = "localhost"
          os.environ["MASTER_PORT"] = str(model_config.torch_dist_port)
  
      deepspeed.init_distributed(
          dist_backend="nccl", timeout=timedelta(seconds=1e9)
      )
  
imports: import importlib
  import pickle
  import os
  import time
  import deepspeed
  from dataclasses import dataclass
  from typing import List, TYPE_CHECKING
  from datetime import timedelta
  from huggingface_hub import HfApi
  from transformers import AutoConfig
  import mii
  from mii.constants import MII_CACHE_PATH, MII_CACHE_PATH_DEFAULT, REQUIRED_KEYS_PER_TASK, MII_HF_CACHE_EXPIRATION, MII_HF_CACHE_EXPIRATION_DEFAULT
  from mii.logging import logger
  from mii.score.generate import generated_score_path
label_desc: Use image node_id 11 for calling a global function with example usage: init_distributed(model_config) without return types