nn.py 文件源码

def __call__(self, x):
        if chainer.config.train == False:
            return x
        xp = cuda.get_array_module(x.data)
        std = math.log(self.std ** 2)
        noise = functions.gaussian(chainer.Variable(xp.zeros_like(x.data)), chainer.Variable(xp.full_like(x.data, std)))
        return x + noise

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