Successfully loaded libtensorflow in Node.js, but couldn't load GPU. Make sure CUDA Toolkit and cuDNN are installed and accessible, or turn off GPU mode.

[remz1337]

Which version of recognize are you using?

5.0.3

Enabled Modes

Face recognition

TensorFlow mode

GPU mode

Downstream App

Memories App

Which Nextcloud version do you have installed?

27.1.5

Which Operating system do you have installed?

Ubuntu 22.04

Which database are you running Nextcloud on?

Postgres 14.10

Which Docker container are you using to run Nextcloud? (if applicable)

N/A

How much RAM does your server have?

4Gb

What processor Architecture does your CPU have?

x86_64

Describe the Bug

This is minor but Recognize admin panel is telling me no GPU found, but everything seems to be working fine (I see the recognize/bin/node process running on my GPU using nvidia-smi). Not sure if normal, but although I see the process on my GPU, my CPU usage is also way up.

The exact warning appears in the NodeJS section of the admin panel:
Successfully loaded libtensorflow in Node.js, but couldn't load GPU. Make sure CUDA Toolkit and cuDNN are installed and accessible, or turn off GPU mode.

More info: Proxmox 7.2, Nextcloud LXC with GPU successfully passed through (it was already done for processing ffmpeg in the Memories app). Installed the CUDA and cuDNN libs through the recommended instructions (pip install tensorflow[and-cuda]) and python is finding my GPU.

Expected Behavior

If everything is working fine and using my GPU, then there shouldn't be any warning about GPU not found.

To Reproduce

Not sure, probably something to do with my setup. If you can point me where to look, I can provide more logs that may help.

Debug log

No response

[github-actions]

Hello 👋

Thank you for taking the time to open this issue with recognize. I know it's frustrating when software
causes problems. You have made the right choice to come here and open an issue to make sure your problem gets looked at
and if possible solved.
I try to answer all issues and if possible fix all bugs here, but it sometimes takes a while until I get to it.
Until then, please be patient.
Note also that GitHub is a place where people meet to make software better together. Nobody here is under any obligation
to help you, solve your problems or deliver on any expectations or demands you may have, but if enough people come together we can
collaborate to make this software better. For everyone.
Thus, if you can, you could also look at other issues to see whether you can help other people with your knowledge
and experience. If you have coding experience it would also be awesome if you could step up to dive into the code and
try to fix the odd bug yourself. Everyone will be thankful for extra helping hands!
One last word: If you feel, at any point, like you need to vent, this is not the place for it; you can go to the forum,
to twitter or somewhere else. But this is a technical issue tracker, so please make sure to
focus on the tech and keep your opinions to yourself. (Also see our Code of Conduct. Really.)

I look forward to working with you on this issue
Cheers 💙

[NikitaKorneev]

I have the same issue. I think I followed all the instructions regarding drivers and CUDA, DNN requirements.

[marcelklehr]

Are you using CUDA 12 or CUDA 11? I believe we currently only support CUDA 11

[remz1337]

Indeed CUDA 12. The app is still working though, it's just that warning message that seems to be the issue

[marcelklehr]

I think it falls back to CPU if GPU can't be loaded

[remz1337]

But I can see the recognize/bin/node process running on my GPU using nvidia-smi

[marcelklehr]

huh