model_lstm_build.py 文件源码

def error(self):
        mistakes = tf.not_equal(
            tf.argmax(self._target, 2), tf.argmax(self.prediction, 2))
        mistakes = tf.cast(mistakes, tf.float32)
        mask = tf.sign(tf.reduce_max(self._target, reduction_indices=2))
        mistakes *= mask
        # Average over actual sequence lengths.
        mistakes = tf.reduce_sum(mistakes, reduction_indices=1)
        mistakes /= tf.cast(self._length, tf.float32)
        return tf.reduce_mean(mistakes)