cost.py 文件源码

def calc_errors(self, output):
        Z = output['numbers']
        N = tf.reduce_sum(tf.cast(tf.greater(Z, 0), tf.float32), 1)

        tgt = output[self.target]
        pred = output[self.prediction]
        if self.idx is not None:
            tgt = tgt[:, self.idx]
            pred = pred[:, self.idx]
        return ((tgt - pred) / N) ** 2