def METHOD_NAME(test_case):
    device = random_device()
    x = random_tensor(ndim=random(), dim0=random(1, 8)).to(device)
    lower = np.abs(np.random.randn())
    m = torch.nn.RReLU(lower=lower, upper=lower, inplace=random_bool())
    return m(x)