import tensorflow as tf

        if s.ndim < 4:
            s = s[np.newaxis, :]
        return self.sess.run(self.v, {self.tfs: s})[0, 0]

    def load(self):
        saver = tf.train.Saver()
        saver.restore(self.sess, './model_save/params')

    def save(self):
        saver = tf.train.Saver()
