import tensorflow as tf

        return tuple(restored)


    def import_ops(self):
        if self._is_training:
            self._train_op = tf.get_collection_ref('train_op')[0]
            self._lr = tf.get_collection_ref('lr')[0]
            self._new_lr = tf.get_collection_ref('new_lr')[0]
            self._lr_update = tf.get_collection_ref('lr_update')[0]
            rnn_params = tf.get_collection_ref('rnn_params')
            if self._cell and rnn_params:
                params_saveable = tf.contrib.cudnn_rnn.RNNParamsSaveable(
