import tensorflow as tf

        self._on_training_abort(sess)

  def inference(self, max=10^6):
    self.fetch_datasets()
    self.build_ae_model()

    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()
