def METHOD_NAME(self) -> None:
    model = BasicModel2()
    input1 = torch.tensor([[4.0, -1.0], [3.0, 10.0]], requires_grad=True)
    input2 = torch.tensor([[2.0, -5.0], [-2.0, 1.0]], requires_grad=True)
    mask1 = torch.tensor([[1, 0], [1, 0]])
    mask2 = torch.tensor([[0, 0], [0, 0]])
    self._FGSM_assert(
        model,
        (input1, input2),
        0,
        0.25,
        ([[3.75, -1.0], [2.75, 10.0]], [[2.0, -5.0], [-2.0, 1.0]]),
        mask=(mask1, mask2),
    )