layers.py 文件源码

def build(self):
        self.trainable_weights = [self.alpha]
        if self.use_gaussian_window:
            window = signal.gaussian(self.window_size, std=self.std)
        else:
            window = np.ones(self.window_size, dtype=floatX)
        self.w_gaussian = K.variable(window)
        self.trainable_weights.append(self.w_gaussian)