Jellyfin hardware acceleration docker issues.

Submitted ⁨⁨2⁩ ⁨months⁩ ago⁩ by ⁨hoxbug@lemmy.world⁩ to ⁨selfhosted@lemmy.world⁩

Having a bit of trouble getting hardware acceleration working on my home server. The cpu of the server is an i7-10700 and has a discrete GPU, RTX 2060. I was hoping to use intel quick sync for the hardware acceleration, but not having much luck.

From the guide on the jellyfin site jellyfin.org/docs/general/administration/…/intel

I have gotten the render group ID using “getent group render | cut -d: -f3” though it mentions on some systems it might not be render, it may be video or input which i tried with those group ID’s as well.

When I run “docker exec -it jellyfin /usr/lib/jellyfin-ffmpeg/vainfo” I get back

libva info: VA-API version 1.22.0
libva info: Trying to open /usr/lib/jellyfin-ffmpeg/lib/dri/nvidia_drv_video.so
libva info: Trying to open /usr/lib/x86_64-linux-gnu/dri/nvidia_drv_video.so
libva info: Trying to open /usr/lib/dri/nvidia_drv_video.so
libva info: Trying to open /usr/local/lib/dri/nvidia_drv_video.so
libva info: va_openDriver() returns -1
vaInitialize failed with error code -1 (unknown libva error),exit

I feel like I need to do something on the host system since its trying to use the discrete card? But I am unsure.

This is the compose file just in case I am missing something

version: "3.8"
services:
  jellyfin:
    image: jellyfin/jellyfin
    user: 1000:1000
    ports:
      - 8096:8096
    group_add:
      - "989" # Change this to match your "render" host group id and remove this comment
      - "985"
      - "994"
    # network_mode: 'host'
    volumes:
      - /home/hoxbug/Docker/jellyfin/config:/config
      - /home/hoxbug/Docker/jellyfin/cache:/cache
      - /mnt/External/Movies:/Movies
    devices:
      - /dev/dri/renderD128:/dev/dri/renderD128
networks:
  external:
    external: true

Thank you for the help.

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Comments

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sneezycat@sopuli.xyz ⁨2⁩ ⁨months⁩ ago
Isn’t your GPU an Nvidia RTX 2060? Why are you trying to use the Intel GPU acceleration method? I’m confused

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- hoxbug@lemmy.world ⁨2⁩ ⁨months⁩ ago
  It just seemed the easiest route, but I may just give using the GPU a go.
  
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  - __ghost__@lemmy.ml ⁨2⁩ ⁨months⁩ ago
    From personal experience intel QSV wasn’t worth the trouble to txshoot on my hardware. Mine is a lot older than yours though. Vaapi has worked well on my arc card
    
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bobslaede@feddit.dk ⁨2⁩ ⁨months⁩ ago

This is how mine works, with a Nvidia GPU

services:
  jellyfin:
    volumes:
      - jellyfin_config:/config
      - jellyfin_cache:/cache
      - type: tmpfs
        target: /cache/transcodes
        tmpfs:
          size: 8G
      - media:/media
    image: jellyfin/jellyfin:latest
    restart: unless-stopped
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              device_ids:
                - "0"
              capabilities:
                - gpu

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notfromhere@lemmy.ml ⁨2⁩ ⁨months⁩ ago
What is the tmpfs for?

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- bobslaede@feddit.dk ⁨2⁩ ⁨months⁩ ago
  Temp files for transcoding. No need to hit the disk.
  
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HumanPerson@sh.itjust.works ⁨2⁩ ⁨months⁩ ago
I have an arc for transcoding, and I had to set the device to /dev/dri without the renderD128 part.

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JustEnoughDucks@feddit.nl ⁨1⁩ ⁨month⁩ ago
Do you have the Intel drivers installed on your machine? Are GuC and HuC working?

sudo reboot sudo dmesg | grep i915 sudo cat /sys/kernel/debug/dri/0/gt/uc/guc_info sudo cat /sys/kernel/debug/dri/0/gt/uc/huc_info

On Debian I had to manually download the i915 full driver Zip, extract it, take out the Intel drivers, and put it in /usr/lib/firmware

Then hardware acceleration worked on my Arc380.

If you use QSV, your CPU iGPU will be the one that can use it, so make sure to set your render device in docker to the iGPU and not the RTX 2060
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entropicdrift@lemmy.sdf.org ⁨2⁩ ⁨months⁩ ago
If you switch the devices line to

/dev/dri

as other have suggested, that should expose the Intel iGPU to your Jellyfin docker container. Presently you’re only exposing the Nvidia GPU.
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