Comments (5)
Hi again,
Never mind, I found the issue. It wasn't the code, but one of the dependencies, that I haven't noticed wasn't matching. Sorry for opening an issue...
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Hi, semese
It’s okay and I would like to thank you for your interest in our work. Your issue made me notice something that can be improved. So I made some minor updates, including adding a short guide for setting up the environment in the README. Hope this helps you and others.
If you have any further questions, please feel free to open an issue or drop me an email.
Best
from mesa.
Hi again,
Never mind, I found the issue. It wasn't the code, but one of the dependencies, that I haven't noticed wasn't matching. Sorry for opening an issue...
Hi semese, could you tell me which dependency cause the problem? I've got the same issue here.
from mesa.
Hi! I'm sorry, I really don't remember anymore what was it. In the end I ended up creating a new environment from scratch and installing first only the required packages, then adding the other things I was using. This way it worked out.
from mesa.
Hi again,
Never mind, I found the issue. It wasn't the code, but one of the dependencies, that I haven't noticed wasn't matching. Sorry for opening an issue...Hi semese, could you tell me which dependency cause the problem? I've got the same issue here.
Hi Renjie,
It is most likely caused by the PyTorch version inconsistency (the SAC implementation requires an older version of PyTorch (v1.0.0)). As semese said, you may want to create a new environment from scratch. I have provided a short guide in the README that you may find helpful, please see requirements.
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Related Issues (9)
- Could you please release the paper? HOT 1
- 请求修改代码以适配torch新的版本
- error : mesa.predict_proba
- 在多分类任务下报错 HOT 2
- Issue running model HOT 3
- Add Contributor HOT 4
- 数据贴标签以及train_ir设置问题 HOT 3
- MESA训练集与其他模型的训练集不一样 HOT 1
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