code: def enqueuer(coordinator, batch_feeder):
      while coordinator.is_active():
          batch_feeder._enqueue_batch(coordinator)
  
imports: import queue
  from itertools import chain
  import logging
  import threading
  import numpy
  import time
  from caffe2.python import workspace, core, scope, utils
  from caffe2.proto import caffe2_pb2
  from caffe2.python.parallel_workers import Metrics, State, WorkerCoordinator, GlobalWorkerCoordinator, Worker, run_worker
label_desc: Use image node_id 3 for calling a global function with example usage: enqueuer(coordinator, batch_feeder) without return types