aron7676
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Posts posted by aron7676
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1 minute ago, nicksphone said:
the only thing i else i can think of is remove the docker, folder and DB and start again. thats all my level knowlage on this docker. if that is a crap shoot tag havegitgat and you have done the basic steps.
Thanks! I will give it a shot. Appreciate the help.
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6 minutes ago, nicksphone said:
Using the AIO build of the docker?
Finished upgrade / reinstall /reboot. Still no dice.
I am running the AIO container.
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1 minute ago, nicksphone said:
you using the nvida build of unraid?
Yes sir, I think I did that correctly.
I am using the "Linuxserver.io - Unraid Nvidia" plugin, and have installed 6.8.3. I am going to reinstall from that plugin, and reboot. Maybe something didnt take. I hadn't thought to reflash that.
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8 minutes ago, nicksphone said:
your missing Container Variable: NVIDIA_VISIBLE_DEVICES with the gpu id
Thanks for the idea!
I updated it back in, and still get the same issue. The documentation says "all" should work, so I was trying that too.
Anything else you can think of?
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So, I am having the same issue as renedis1.
Cannot load libnvcuvid.so.1 [h264_cuvid @ 0x5647aad405e0] Failed loading nvcuvid.
In container:ldconfig -p | grep libnv libnvidia-ml.so.1 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libnvidia-ml.so.1 libnvidia-cfg.so.1 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libnvidia-cfg.so.1
In host:
root@Atom:/mnt/user/Downloading# ldconfig -p | grep libnv libnvoptix.so.1 (libc6,x86-64) => /usr/lib64/libnvoptix.so.1 libnvidia-tls.so.440.59 (libc6,x86-64, OS ABI: Linux 2.3.99) => /usr/lib64/libnvidia-tls.so.440.59 libnvidia-rtcore.so.440.59 (libc6,x86-64) => /usr/lib64/libnvidia-rtcore.so.440.59 libnvidia-ptxjitcompiler.so.1 (libc6,x86-64) => /usr/lib64/libnvidia-ptxjitcompiler.so.1 libnvidia-ptxjitcompiler.so (libc6,x86-64) => /usr/lib64/libnvidia-ptxjitcompiler.so libnvidia-opticalflow.so.1 (libc6,x86-64) => /usr/lib64/libnvidia-opticalflow.so.1 libnvidia-opticalflow.so (libc6,x86-64) => /usr/lib64/libnvidia-opticalflow.so libnvidia-opencl.so.1 (libc6,x86-64) => /usr/lib64/libnvidia-opencl.so.1 libnvidia-ml.so.1 (libc6,x86-64) => /usr/lib64/libnvidia-ml.so.1 libnvidia-ml.so (libc6,x86-64) => /usr/lib64/libnvidia-ml.so libnvidia-ifr.so.1 (libc6,x86-64) => /usr/lib64/libnvidia-ifr.so.1 libnvidia-ifr.so (libc6,x86-64) => /usr/lib64/libnvidia-ifr.so libnvidia-gtk3.so.440.59 (libc6,x86-64) => /usr/lib64/libnvidia-gtk3.so.440.59 libnvidia-gtk2.so.440.59 (libc6,x86-64) => /usr/lib64/libnvidia-gtk2.so.440.59 libnvidia-glvkspirv.so.440.59 (libc6,x86-64) => /usr/lib64/libnvidia-glvkspirv.so.440.59 libnvidia-glsi.so.440.59 (libc6,x86-64) => /usr/lib64/libnvidia-glsi.so.440.59 libnvidia-glcore.so.440.59 (libc6,x86-64) => /usr/lib64/libnvidia-glcore.so.440.59 libnvidia-fbc.so.1 (libc6,x86-64) => /usr/lib64/libnvidia-fbc.so.1 libnvidia-fbc.so (libc6,x86-64) => /usr/lib64/libnvidia-fbc.so libnvidia-fatbinaryloader.so.440.59 (libc6,x86-64) => /usr/lib64/libnvidia-fatbinaryloader.so.440.59 libnvidia-encode.so.1 (libc6,x86-64) => /usr/lib64/libnvidia-encode.so.1 libnvidia-encode.so (libc6,x86-64) => /usr/lib64/libnvidia-encode.so libnvidia-eglcore.so.440.59 (libc6,x86-64) => /usr/lib64/libnvidia-eglcore.so.440.59 libnvidia-egl-wayland.so.1 (libc6,x86-64) => /usr/lib64/libnvidia-egl-wayland.so.1 libnvidia-container.so.1 (libc6,x86-64) => /usr/local/lib/libnvidia-container.so.1 libnvidia-container.so (libc6,x86-64) => /usr/local/lib/libnvidia-container.so libnvidia-compiler.so.440.59 (libc6,x86-64) => /usr/lib64/libnvidia-compiler.so.440.59 libnvidia-cfg.so.1 (libc6,x86-64) => /usr/lib64/libnvidia-cfg.so.1 libnvidia-cfg.so (libc6,x86-64) => /usr/lib64/libnvidia-cfg.so libnvidia-cbl.so.440.59 (libc6,x86-64) => /usr/lib64/libnvidia-cbl.so.440.59 libnvidia-allocator.so.1 (libc6,x86-64) => /usr/lib64/libnvidia-allocator.so.1 libnvidia-allocator.so (libc6,x86-64) => /usr/lib64/libnvidia-allocator.so libnvcuvid.so.1 (libc6,x86-64) => /usr/lib64/libnvcuvid.so.1 libnvcuvid.so (libc6,x86-64) => /usr/lib64/libnvcuvid.soI have the following settings for the container:
TL:DR, --runtime=nvidia is checked, all for driver capabilites, and visible devices.
nvidia-smi works in host and container.
Can anyone tell me what I am doing wrong?
[Support] HaveAGitGat - Tdarr: Audio/Video Library Analytics & Transcode Automation
in Docker Containers
Posted · Edited by aron7676
@HaveAGitGat I think I have troubleshot as much as I can. Do you have any ideas?
Not mentioned above, but I do have this checked on the options page too:
I rolled back to an older version even, to get an older driver (6.8.0-rc5).
For whatever reason it is not seeing or passing through the driver info.
I WAS able to get it partially working by creating a read only path from host /usr/lib64 to container /usr/lib64. I am sure this is wrong and will cause things to catch on fire later, but got a few transcodes going. a few are still erroring out though.