code: def tf_model_load(sess, file_path=None):
      """
  
      :param sess: the session object to restore
      :param file_path: path to the restored session, if None is
                        taken from FLAGS.train_dir and FLAGS.filename
      :return:
      """
      with sess.as_default():
          saver = tf.train.Saver()
          if file_path is None:
              error = "file_path argument is missing."
              raise ValueError(error)
          saver.restore(sess, file_path)
  
      return True
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import logging
  import math
  import os
  import time
  import warnings
  import numpy
  import six
  from six.moves import xrange
  import tensorflow
  from cleverhans.compat import device_lib
  from cleverhans.compat import reduce_sum, reduce_mean
  from cleverhans.compat import reduce_max
  from cleverhans.compat import softmax_cross_entropy_with_logits
  from cleverhans.utils import batch_indices, _ArgsWrapper, create_logger
label_desc: Use image node_id 5 for calling a global function with example usage: tf_model_load(sess, file_path) and returns: True