code: def _set_distributed(
      rank: int,
      world_size: int,
      dist_init_url: str,
      device_id: int,
      gpu_streams: int = 1,
  ) -> None:
      if dist_init_url and world_size > 1:
          distributed.dist_init(
              rank,
              world_size,
              dist_init_url,
              device_id,
              gpu_streams=gpu_streams,
          )
  
imports: import gzip
  import json
  import os
  import sys
  import traceback
  from typing import Any, Dict, get_type_hints, IO, Iterator, List, Optional, Tuple, Union
  import torch
  from pytext.common.constants import Stage
  from pytext.config import ExportConfig, PyTextConfig, TestConfig
  from pytext.config.component import ComponentType, create_component, create_exporter
  from pytext.data.data import Batcher
  from pytext.data.data_handler import CommonMetadata
  from pytext.metric_reporters.channel import Channel
  from pytext.task import create_task, get_latest_checkpoint_path, load, NewTask, save, Task_Deprecated
  from pytext.task.disjoint_multitask import NewDisjointMultitask
  from pytext.trainers import TrainingState
  from pytext.utils import cuda, distributed, precision, round_seq, set_random_seeds, timing
  from pytext.utils.file_io import PathManager
label_desc: Use image node_id 3 for calling a global function with example usage: _set_distributed(rank, world_size, dist_init_url, device_id, gpu_streams) without return types