code: def __init__(self, task_index, task_type, config):
      self.task_index = task_index
      self.task_type = task_type
      self.config = config
      # set fixed random seed
      tf.set_random_seed(config["seed"])
      logging.basicConfig(level=logging.INFO)
  
imports: import time
  import argparse
  import tensorflow
  import os
  import sys
  import math
  import collections
  from tensorflow.python.client import timeline
  import json
  from tensorflow.python.ops import partitioned_variables
  import ray
  from bigdl.dllib.utils.log4Error import *
  from bigdl.orca import init_orca_context, stop_orca_context, OrcaContext
  from bigdl.orca.data.utils import process_spark_xshards
  from bigdl.orca.learn.utils import maybe_dataframe_to_xshards
  from bigdl.friesian.feature import FeatureTable
label_desc: Use image node_id 1 to create a new RayWorker object  with example: obj = RayWorker(task_index, task_type, config)