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Deraining reproduction result seems a little different from report result on paper #100

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peylnog opened this issue Dec 23, 2021 · 2 comments

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@peylnog
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peylnog commented Dec 23, 2021

Because the code using the torch.backends.cudnn.benchmark=True , I know it cannot completely repetition.
Then , I reproduced it on my 8x2080TI without any code change, and here's result I got.

result

May I report this result ( reproduce without any code change) on my paper ? It is very important for my work, since I need to improve the performance based on your code and model.

If there are other factors I haven't considered, please tell me, and I'll reproduce again.

Looking forward to your reply!

Have a good day~

@hezewy
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hezewy commented Jan 9, 2022

I also had the same problem.

@LunZeHu
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LunZeHu commented Apr 3, 2023

I also had the same problem. I reproduced it on my RTX3060 without any code change, and the result seem different from report result on paper. I know it cannot completely repetition. May I report My result ( reproduce without any code change) on my paper? It is very important for my work.
If there are other factors I haven't considered, please tell me, and I'll reproduce again.
Looking forward to your reply!
Have a good day~

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