def METHOD_NAME(test_case):
    device = random_device()
    ndim = np.random.randint(3, 6)
    dim0 = np.random.randint(2, 4)
    dim1 = np.random.randint(2, 4)
    dim2 = np.random.randint(2, 4)
    dim3 = np.random.randint(2, 4)
    dim4 = np.random.randint(2, 4)
    if ndim == 3:
        x = random_tensor(3, dim0, dim1, dim2)
    elif ndim == 4:
        x = random_tensor(4, dim0, dim1, dim2, dim3)
    elif ndim == 5:
        x = random_tensor(5, dim0, dim1, dim2, dim3, dim4)
    x = x.to(device)
    storage_offset = random(0, 3).to(int)
    y = x.as_strided((2, 2, 3), (1, 1, 2), storage_offset)
    return y