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)
    self._guided_grad_cam_test_assert(
        net, net.conv1, (inp, inp2), ([], []), interpolate_mode="made_up_nonlinear"
    )