def METHOD_NAME():
    _, supernet = create_two_conv_width_supernet()
    device = get_model_device(supernet)
    x = torch.ones(supernet.INPUT_SIZE).to(device)
    actual_output = supernet(x)
    shallow_copy = supernet.nncf.get_clean_shallow_copy()
    ref_output = shallow_copy(x)
    assert torch.equal(actual_output, ref_output)