code: def __init__(
      self,
      coordinator,
      worker_id,
      worker_fun,
      metrics,
      batch_size,
      batch_feeder,
  ):
      Worker.__init__(
          self,
          coordinator,
          worker_id,
          worker_fun=worker_fun,
          metrics=metrics,
      )
      self._batch_size = batch_size
      self._batch_feeder = batch_feeder
  
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 1 to create a new DataWorker object from inherited base classes: Worker with example: obj = DataWorker(coordinator, worker_id, worker_fun, metrics, batch_size, batch_feeder)