test_softplus.py 文件源码

def check_forward(self, x_data):
        x = chainer.Variable(x_data)
        y = functions.softplus(x, beta=self.beta)
        x_value = cuda.to_cpu(x_data)
        y_exp = numpy.log(1 + numpy.exp(self.beta * x_value)) / self.beta
        self.assertEqual(y.data.dtype, self.dtype)
        gradient_check.assert_allclose(
            y_exp, y.data, **self.check_forward_options)