code: def __init__(self, queue, pred_func, id, batch_size=5):
      super(PredictorWorkerThread, self).__init__()
      self.name = "PredictorWorkerThread-{}".format(id)
      self.queue = queue
      self.func = pred_func
      self.daemon = True
      self.batch_size = batch_size
      self.id = id
  
imports: import multiprocessing
  import numpy
  from concurrent.futures import Future
  import tensorflow
  from six.moves import queue, range
  from ..compat import tfv1
  from ..tfutils.model_utils import describe_trainable_vars
  from ..utils import logger
  from ..utils.concurrency import DIE, ShareSessionThread, StoppableThread
  from .base import AsyncPredictorBase, OfflinePredictor, OnlinePredictor
label_desc: Use image node_id 1 to create a new PredictorWorkerThread object from inherited base classes: StoppableThread, ShareSessionThread with example: obj = PredictorWorkerThread(queue, pred_func, id, batch_size)