tf-keras-skeleton.py 文件源码

def call(self, inputs, training=None):
            if 0 < self.rate < 1:

              def noised():
                stddev = np.sqrt(self.rate / (1.0 - self.rate))
                return inputs * K.random_normal(
                    shape=K.shape(inputs), mean=1.0, stddev=stddev)

              return K.in_train_phase(noised, inputs, training=training)
            return inputs