def METHOD_NAME(self):
    model = ModelUnderTest(bias=False)
    assert not hasattr(model.linear, 'parametrizations')
    assert not hasattr(model.seq[0], 'parametrizations')
    assert not hasattr(model.seq[1], 'parametrizations')
    mask = torch.eye(16)
    parametrize.register_parametrization(model.linear, 'weight',
                                         utils.FakeSparsity(mask))
    mask = torch.eye(16)
    parametrize.register_parametrization(model.seq[0], 'weight',
                                         utils.FakeSparsity(mask))
    mask = torch.eye(16)
    parametrize.register_parametrization(model.seq[1], 'weight',
                                         utils.FakeSparsity(mask))
    assert hasattr(model.linear, 'parametrizations')
    assert parametrize.is_parametrized(model.linear, 'weight')
    assert hasattr(model.seq[0], 'parametrizations')
    assert parametrize.is_parametrized(model.linear, 'weight')
    assert hasattr(model.seq[1], 'parametrizations')
    assert parametrize.is_parametrized(model.linear, 'weight')