code: def get_worker_id_queue():
      """Lazily create the queue to track worker ids."""
      global _WORKER_ID_QUEUE
      if _WORKER_ID_QUEUE is None:
          _WORKER_ID_QUEUE = multiprocessing.Queue()
      return _WORKER_ID_QUEUE
  
imports: import multiprocessing.dummy
  import queue
  import random
  import threading
  import time
  import warnings
  import weakref
  from contextlib import closing
  import numpy
  import tree
  from keras.api_export import keras_export
  from keras.trainers.data_adapters import data_adapter_utils
  from keras.trainers.data_adapters.data_adapter import DataAdapter
label_desc: Use image node_id 2 for calling a global function with example usage: get_worker_id_queue() and returns: _WORKER_ID_QUEUE