RuntimeError: Device index must not be negative

[1eunght]

Dear author @Wentao-Xu ,

I can reproduce the Baselines without error, however RuntimeError appeared when I ran the HIST model. I have set all the package to the according version as mentioned in the requirements.txt. But error keeps appearing when it starts training.

我可以复现Baselines的模型，但是在跑HIST的时候会出现RuntimeError报错。我已经把要求的库都降级到相应的版本，但是仍然出现如下报错。

[2022-02-17 11:43:15] - Running 0 Epoch: 0
[2022-02-17 11:43:15] - training...
0%|
[2364:MainThread](2022-02-17 11:43:15,750) ERROR - qlib.workflow - [utils.py:38] - An exception has been raised[RuntimeError: Device index must not be negative].
File "learn.py", line 450, in
main(args)
File "learn.py", line 288, in main
train_epoch(epoch, model, optimizer, train_loader, writer, args, stock2concept_matrix)
File "learn.py", line 116, in train_epoch
pred = model(feature, stock2concept_matrix[stock_index], market_value)
File "D:\anaconda3\envs\qlib\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "D:\Codes\HIST\model.py", line 79, in forward
device = torch.device(torch.get_device(x+1))
RuntimeError: Device index must not be negative

I wonder why it is the case and how can I fix it? Thank you for your time!

请问应该怎么解决这一问题呢？谢谢！

[Wentao-Xu]

你好，看你的报错，似乎是你没有在gpu上使用pytorch.

[bell99431]

how to run this project without cuda?

[Hoilap]

我遇到和你一样的问题。如果使用CPU运算，将line 79改为device = torch.device('cpu',0)即可运行。仅供参考。