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How to set CUDA location? #1219

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frenzybiscuit opened this issue Dec 3, 2024 · 3 comments
Open

How to set CUDA location? #1219

frenzybiscuit opened this issue Dec 3, 2024 · 3 comments
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bug Something isn't working

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@frenzybiscuit
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Which version of recognize are you using?

8.1.1

Enabled Modes

Object recognition, Face recognition, Video recognition, Music recognition

TensorFlow mode

GPU mode

Downstream App

Files App

Which Nextcloud version do you have installed?

30.0.2

Which Operating system do you have installed?

Fedora 41

Which database are you running Nextcloud on?

Postgresql 16

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

None

How much RAM does your server have?

128GB

What processor Architecture does your CPU have?

x86_64

Describe the Bug

I am trying to use GPU mode with a Nvidia 2080 GPU. the install is bare metal. Everything appears to be green/work up until CUDA.

I am using fedora with selinux in permissive mode.

Current error:

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.

When using CUDA, I have to specify the path location in .bashrc for my regular users. I'm assuming this is the issue with Nextcloud/Recognize. If I do not specify this in the .bashrc cuda refuses to work/compile.

The path should be:

export PATH=/usr/local/cuda/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH

Is there a way to set this in the recognize app?

Expected Behavior

works as expected

To Reproduce

N/A

Debug log

N/A

@frenzybiscuit frenzybiscuit added the bug Something isn't working label Dec 3, 2024
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github-actions bot commented Dec 3, 2024

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 💙

@bugsyb
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bugsyb commented Dec 8, 2024

In case if you use Docker, this might be an easier approach as I've spent significant amount of time getting it to work, hence shared to save time for others:
https://github.com/bugsyb/recognize_docker

It has all set up and working and is being from source images from nVIDIA, PHP, Nextcloud.

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3 participants