def import_ops(self)

def import_ops(self):
    """Imports ops from collections."""
    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(
                self._cell,
                self._cell.params_to_canonical,
                self._cell.canonical_to_params,
                rnn_params,
                base_variable_scope="Model/RNN"
            )
            tf.add_to_collection(tf.GraphKeys.SAVEABLE_OBJECTS, params_saveable)
    self._cost = tf.get_collection_ref(util.with_prefix(self._name, "cost"))[0]
    num_replicas = FLAGS.num_gpus if self._name == "Train" else 1
    self._initial_state = util.import_state_tuples(self._initial_state, self._initial_state_name, num_replicas)
    self._final_state = util.import_state_tuples(self._final_state, self._final_state_name, num_replicas)