def METHOD_NAME(self) -> None:
    net = BasicModel_ConvNet_One_Conv()
    inp = 1.0 * torch.arange(16, dtype=torch.float).view(1, 1, 4, 4)
    exp = [
        [2.0, 3.0, 3.0, 1.0],
        [3.0, 5.0, 5.0, 2.0],
        [3.0, 5.0, 5.0, 2.0],
        [1.0, 2.0, 2.0, 1.0],
    ]
    exp = torch.tensor(exp).view(1, 1, 4, 4)
    self._neuron_deconv_test_assert(net, net.fc1, (0,), (inp,), (exp,))