code: def _distributed_worker(
      local_rank: int,
      cfg: AttrDict,
      node_id: int,
      dist_run_id: str,
      engine_name: str,
      checkpoint_path: str,
      checkpoint_folder: str,
      hook_generator: Callable[[Any], List[ClassyHook]],
  ):
      dist_rank = (
          cfg.DISTRIBUTED.NUM_PROC_PER_NODE * node_id + local_rank
      )
      logging.info(
          f"Spawning process for node_id: {node_id}, local_rank: {local_rank}, "
          f"dist_rank: {dist_rank}, dist_run_id: {dist_run_id}"
      )
  
      if cfg.REPRODUCIBILITY.CUDDN_DETERMINISTIC:
          logging.info("torch.backends.cudnn.deterministic = True")
          torch.backends.cudnn.deterministic = True
  
      run_engine(
          engine_name,
          cfg,
          dist_run_id,
          checkpoint_path,
          checkpoint_folder,
          local_rank=local_rank,
          node_id=node_id,
          hook_generator=hook_generator,
      )
  
imports: import logging
  import tempfile
  from typing import Any, Callable, List
  import torch
  from iopath.common.file_io import g_pathmgr
  from vissl.config import AttrDict
  from vissl.data.dataset_catalog import get_data_files
  from vissl.engines import run_engine
  from vissl.hooks import ClassyHook, default_hook_generator
  from vissl.utils.checkpoint import get_checkpoint_folder, get_resume_checkpoint, is_training_finished
  from vissl.utils.env import set_env_vars
  from vissl.utils.io import cleanup_dir, copy_data_to_local, makedir
  from vissl.utils.logger import setup_logging, shutdown_logging
  from vissl.utils.misc import get_dist_run_id
  from vissl.utils.slurm import get_node_id
label_desc: Use image node_id 5 for calling a global function with example usage: _distributed_worker(local_rank, cfg, node_id, dist_run_id, engine_name, checkpoint_path, checkpoint_folder, hook_generator) without return types