def METHOD_NAME(test_case):
    device = random_device()
    x_dtype = random_dtype(["arithmetic"])
    input = (
        random_tensor(ndim=2, dim0=20, dim1=20, low=1, high=10)
        .to(device)
        .to(x_dtype)
    )
    other = (
        random_tensor(ndim=2, dim0=20, dim1=20, low=1, high=10)
        .to(device)
        .to(x_dtype)
    )
    out = torch.special.zeta(input, other)
    return out