def METHOD_NAME(self):
    numFrames = random.randint(4, 128)
    height = random.randint(10, 32) * 2
    width = random.randint(10, 32) * 2
    oheight = random.randint(5, (height - 2) / 2) * 2
    owidth = random.randint(5, (width - 2) / 2) * 2
    clip = torch.randint(0, 256, (numFrames, height, width, 3), dtype=torch.uint8)
    result = Compose(
        [
            transforms.ToTensorVideo(),
            transforms.RandomCropVideo((oheight, owidth)),
        ]
    )(clip)
    assert result.size(2) == oheight
    assert result.size(3) == owidth
    transforms.RandomCropVideo((oheight, owidth)).__repr__()