code: def worker(
      in_queue: InQueue, out_queue: OutQueue, device: torch.device
  ) -> None:
      """Main loop of a worker thread."""
      with use_device(device):
          while True:
              task = in_queue.get()
  
              if task is None:
                  break
  
              try:
                  batch = task.compute()
              except Exception:
                  exc_info = cast(ExcInfo, sys.exc_info())
                  out_queue.put((False, exc_info))
                  continue
  
              out_queue.put((True, (task, batch)))
  
      done = (False, None)
      out_queue.put(done)
  
file_path: pytorch/torch/distributed/pipeline/sync/worker.py
imports: from contextlib import contextmanager
  from queue import Queue
  import sys
  from threading import Thread
  from types import TracebackType
  from typing import TYPE_CHECKING, Callable, Dict, Generator, List, Optional, Tuple, Type, Union, cast
  import torch
  from .microbatch import Batch
  from .stream import AbstractStream, use_device, use_stream
label_desc: Use image node_id 1 for calling a global function with example usage: worker(in_queue, out_queue, device) without return types