def METHOD_NAME(placement):
    shape = [8, 8]
    ndim = len(shape)
    input_requires_grad = True
    target_requires_grad = random_bool().value()
    return (
        random_tensor(ndim, *shape, low=0, requires_grad=input_requires_grad).to_global(
            placement=placement, sbp=random_sbp(placement, max_dim=2)
        ),
        random_tensor(
            ndim, *shape, low=0, requires_grad=target_requires_grad
        ).to_global(placement=placement, sbp=random_sbp(placement, max_dim=2)),
    )