def METHOD_NAME(self) -> None:
    net = BasicModel_ConvNet_One_Conv()
    inp = torch.arange(16, dtype=torch.float).view(1, 1, 4, 4)
    inp2 = torch.ones((1, 1, 4, 4))
    ex_attr = [
        [
            [
                [1.0, 2.0, 2.0, 1.0],
                [2.0, 4.0, 4.0, 2.0],
                [2.0, 4.0, 4.0, 2.0],
                [1.0, 2.0, 2.0, 1.0],
            ]
        ]
    ]
    self._guided_backprop_test_assert(net, (inp, inp2), (ex_attr, ex_attr))