def restore_model(self, saver, model_dir): ckpt = tf.train.get_checkpoint_state(model_dir) if ckpt: saver.restore(self.sess, ckpt.model_checkpoint_path) print("restored model %s" % model_dir) else: print("fail to restore model %s" % model_…