def METHOD_NAME(self) -> None:
    model, inputs = _get_simple_model()
    with torch.no_grad():
        model.linear.weight.data[0][0] = -2
    model.eval()
    model.linear.rule = Alpha1_Beta0_Rule()
    model.linear2.rule = Alpha1_Beta0_Rule()
    lrp = LayerLRP(model, model.linear)
    relevance = lrp.attribute(inputs)
    assertTensorAlmostEqual(self, relevance[0], torch.tensor([24.0, 36.0, 36.0]))