code: def setup(self):
      import tensorflow as tf
  
      tf.config.threading.set_inter_op_parallelism_threads(
          self.inter_op_parallelism
      )
      tf.config.threading.set_intra_op_parallelism_threads(
          self.intra_op_parallelism
      )
      os.environ["KMP_BLOCKING_TIME"] = self.config.get(
          "KMP_BLOCKING_TIME", os.environ.get("KMP_BLOCKING_TIME", "0")
      )
  
imports: import json
  import os
  import tempfile
  import shutil
  import copy
  import tensorflow
  from bigdl.orca.data.utils import partition_get_data_label
  from bigdl.orca.data.file import exists
  from bigdl.orca.learn.utils import save_pkl, duplicate_stdout_stderr_to_file, get_rank, process_tensorboard_in_callbacks, save_model, load_model, replace_specific_object_from_callbacks
  from bigdl.orca.learn.log_monitor import LogMonitor
  from bigdl.orca.learn.tf2.callbacks import ModelCheckpoint
  from bigdl.dllib.utils.log4Error import *
label_desc: Use image node_id 2 for calling the SparkRunner obj's underlying member method code with example usage: obj.setup() without return types