import tensorflow as tf

    with tf.Session() as sess:
      sess.run(tf.global_variables_initializer())
      # nut.print_model_info()
      # nut.list_checkpoint_vars(self.get_latest_checkpoint().replace(EMB_SUFFIX, ''))

      self.saver = tf.train.Saver()
      self._restore_model(sess)
      # nut.print_model_info()

      encoding, decoding = None, None
