def METHOD_NAME():
    _MODELS.append(cls)
    model = cls()
    scripted = torch.jit.script(model)
    buffer = BytesIO(scripted._save_to_buffer_for_lite_interpreter())
    buffer.seek(0)
    mobile_module = _load_for_lite_interpreter(buffer)
    ops = _export_operator_list(mobile_module)
    _OPERATORS.update(ops)
    path = f"./{cls.__name__}.ptl"
    _FILENAMES.append(path)
    scripted._save_for_lite_interpreter(path)