demo生成时获取deviceid 失败，降低transformers库的版本后解决

[vhiccup]

按照demo 进行fastgpt 按照和distilgpt2 model下载和onnx 转换。在transformers(版本4.28.1)的代码中报错first_tuple = next(gen) 失败，错误信息，StopIteration

`def get_parameter_device(parameter: Union[nn.Module, GenerationMixin, "ModuleUtilsMixin"]):
try:
return next(parameter.parameters()).device
except StopIteration:
# For nn.DataParallel compatibility in PyTorch 1.5

    def find_tensor_attributes(module: nn.Module) -> List[Tuple[str, Tensor]]:
        tuples = [(k, v) for k, v in module.__dict__.items() if torch.is_tensor(v)]
        return tuples

    gen = parameter._named_members(get_members_fn=find_tensor_attributes)
    **first_tuple = next(gen)**
    return first_tuple[1].device`

降低transformer的版本为fastgpt依赖中的 4.19后问题消失，可以预测。