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gvoysey avatar gvoysey commented on June 12, 2024 1

pinning torch to 2.1.0 works for me, on ubuntu 22.04 and arch.

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drprojects avatar drprojects commented on June 12, 2024

Hi @xiarobin, as you can see in the traceback, the error seems to come from FRNN. This is the library we are using for fast neighbor search on GPU. Several users have reported issues with this dependency. Please make sure FRNN is properly installed. Also, look into passed issues related to FRNN to see if the solution is not already there.

It is possible that the error trace is not entirely returned, you can try setting HYDRA_FULL_ERROR=1 as suggested. Maybe this will return a more informative feedback.

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drprojects avatar drprojects commented on June 12, 2024

PS: if you ❤️ or simply use this project, don't forget to give it a ⭐, it means a lot to us !

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xiarobin avatar xiarobin commented on June 12, 2024

Hi @xiarobin, as you can see in the traceback, the error seems to come from FRNN. This is the library we are using for fast neighbor search on GPU. Several users have reported issues with this dependency. Please make sure FRNN is properly installed. Also, look into passed issues related to FRNN to see if the solution is not already there.

It is possible that the error trace is not entirely returned, you can try setting HYDRA_FULL_ERROR=1 as suggested. Maybe this will return a more informative feedback.

Hi @drprojects , I have correctly installed the FRNN library according to install.sh and set HYDRA-FULL_ERROR=1 as per your suggestion, but the above error still occurs.

QQ20240419-152401

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drprojects avatar drprojects commented on June 12, 2024

From your screenshot, we can't really tell whether the installation went through all the way.

In any case, this is a FRNN-related issue. So you should investigate in this direction:

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drprojects avatar drprojects commented on June 12, 2024

After a 1-minute search of your error message on Google:

People seem to solve this by downgrading PyTorch version to 2.1.0. Can you please try this and let us know ?

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drprojects avatar drprojects commented on June 12, 2024

I could install and run with torch 2.2.0 without problem on my end. It seems this issues is machine-dependent and can be fixed with a downgrade to torch 2.1.0. Closing this now.

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