def METHOD_NAME(videos: t.List[Video], **kw: t.Any) -> t.Any:
    _frames_tensor = ppl_pre(videos=videos, sampler=sampler, transforms=transforms)
    model = _get_model()
    output = model(_frames_tensor)
    probs = torch.nn.Softmax(dim=1)(output)
    label = torch.max(probs, 1)[1].detach().cpu().numpy()
    print(f"predict value is:{label}, probability is:{probs}")
    return ppl_post(output)