LSTMEncDecAttn.py 文件源码

def __call__(self, opt):
        self.norm_orig = np.sqrt(chainer.optimizer._sum_sqnorm(
            [p.grad for p in opt.target.params()]))
        self.norm = self.norm_orig
        self.rate = self.threshold / self.norm_orig
        if self.rate < 1:
            for param in opt.target.params():
                grad = param.grad
                with cuda.get_device(grad):
                    grad *= self.rate
            self.norm = self.threshold


# LSTM???????????????????????????????????
# ??????decoder??LSTM??????????