class_docstr: Manages a TensorFlow model for training.
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 socket
  import shutil
  import tempfile
  import copy
  import ray
  from contextlib import closing
  from bigdl.dllib.utils import log4Error
  from bigdl.orca.data.utils import partitions_get_data_label, partitions_get_tf_dataset
  from bigdl.orca.data.file import is_file, get_remote_file_to_local, get_remote_dir_to_local, get_remote_files_with_prefix_to_local, put_local_file_to_remote, put_local_dir_tree_to_remote, put_local_files_with_prefix_to_remote
  from bigdl.orca.learn.utils import process_tensorboard_in_callbacks
  from bigdl.dllib.utils.log4Error import *
label_desc: Use image node_id 2 for calling the TFRunner obj's underlying member method code with example usage: obj.setup() without return types