nn.py 文件源码

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

# Connections