learning_rate.py 文件源码

def __call__(self, learning_rate):
        """Update the learning rate according to the exponential decay
        schedule.

        """
        if self._count == 0.:
            self._base_lr = learning_rate.get_vale()
        self._count += 1

        if not self._min_reached:
            new_lr = self._base_lr * (self.decay_factor ** (-self._count))
            if new_lr <= self.min_lr:
                self._min_reached = True
                new_lr = self._min_reached
        else:
            new_lr = self.min_lr

        learning_rate.set_value(np.cast[theano.config.floatX](new_lr))