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+--- Thread: Am I using the hardware acceleration correctly? (/t-am-i-using-the-hardware-acceleration-correctly)
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Am I using the hardware acceleration correctly? - Grimlock - 2024-03-13
Pretty new to everything Jellyfin
CPU is a 100% while transcoding, but it appears the iGPU isn’t working very hard:
Or is it just a matter of working/not working and this is just expected performance?
Jellyfin is deployed as a docker from the linuxserver repository on my unraid system.
Intel Quicksync (QSV) has been enabled.
Intel GPU TOP plugin is installed and the --device=/dev/dri:/dev/dri flag has been added
System
CPU: 12th Gen Intel® Core™ i3-12100 @ 3267 MHz
Memory: 32 GiB DDR4
RE: Am I using the hardware acceleration correctly? - TheDreadPirate - 2024-03-13
Is a single core running at 100%? Or all cores? A single core at 100% probably means that the audio is transcoding on the CPU, which is expected.
Can you share your ffmpeg log with us via https://sourceb.in/ ?
RE: Am I using the hardware acceleration correctly? - Grimlock - 2024-03-13
All cores are pretty much at 100%
Here are my FFmpeg logs
https://srcb.in/eyLyRzzGy2
RE: Am I using the hardware acceleration correctly? - TheDreadPirate - 2024-03-13
It is using the iGPU.
Code:
Stream #0:0 -> #0:0 (hevc (native) -> h264 (h264_qsv))Your video is a bit weird. It has 2 video streams? One with and without Dolby Vision?
Did you apply the Intel OpenCL mod for the LSIO Jellyfin container? Can you share the full docker config for Jellyfin?
RE: Am I using the hardware acceleration correctly? - Grimlock - 2024-03-13
Here is where my inexperience starts to show...
How do I share my docker config from unRaid? this is what I could grab: https://sourceb.in/267c2UwI8Z
I did not apply the Intel OpenCL mod for the LSIO Jellyfin container... but I would not know how
here is a link to another file transcoding log if that's helpful: https://sourceb.in/GFU2e5wJNF
RE: Am I using the hardware acceleration correctly? - TheDreadPirate - 2024-03-13
You have to add an environment variable to the Docker config for Jellyfin.
https://github.com/linuxserver/docker-mods/tree/jellyfin-opencl-intel
Code:
DOCKER_MODS=linuxserver/mods:jellyfin-opencl-intelSince your video is HDR, you need the OpenCL mod.
RE: Am I using the hardware acceleration correctly? - Grimlock - 2024-03-13
Thanks for the help. I've added the mod, but still CPU is running at 98~100%.
RE: Am I using the hardware acceleration correctly? - TheDreadPirate - 2024-03-13
For a sanity check, can you try another video? Preferably one that isn't HDR? The video we've been trying is a bit weird. Has two video streams.
Code:
Stream #0:0[0x1](und): Video: hevc (Main 10) (hev1 / 0x31766568), yuv420p10le(tv, bt2020nc/bt2020/smpte2084), 3840x2160 [SAR 1:1 DAR 16:9], 60746 kb/s, 23.98 fps, 23.98 tbr, 24k tbn (default)
Metadata:
creation_time : 2023-01-11T16:59:46.000000Z
vendor_id : [0][0][0][0]
encoder : HEVC Coding
Stream #0:1[0x2](und): Video: hevc (Main 10) (dvhe / 0x65687664), yuv420p10le(tv, bt2020nc/bt2020/smpte2084), 1920x1080 [SAR 1:1 DAR 16:9], 12172 kb/s, 23.98 fps, 23.98 tbr, 24k tbn (default)
Metadata:
creation_time : 2023-01-11T16:59:46.000000Z
vendor_id : [0][0][0][0]
encoder : DOVI Coding
Side data:
DOVI configuration record: version: 1.0, profile: 7, level: 6, rpu flag: 1, el flag: 1, bl flag: 0, compatibility id: 6The first 4K HEVC 10 stream and a separate HEVC 10 + DOVI 7.6 stream that is 1080P instead of 4K? Its a bit unusual. Normally you have the HEVC and DV side channel in the same stream.
RE: Am I using the hardware acceleration correctly? - Grimlock - 2024-03-15
Sorry - Took me a while to test out another video
This one is better but still chewing up 85% ~ 90% CPU
Here are the logs: https://sourceb.in/ZkVVVQDvJz
iGPU looks a little better though?
RE: Am I using the hardware acceleration correctly? - TheDreadPirate - 2024-03-15
For testing, can you spin up a jellyfin/jellyfin docker image? I've found that the LSIO docker image behaves differently than the official image in a lot of weird ways. This may be another.
Replace the group_add value with the GID of the render group on your PC. Add your media paths, etc.
Code:
version: '3.5'
services:
jellyfin:
image: jellyfin/jellyfin:10.8.13-1
container_name: jellyfin-test
user: 1000:1000
group_add:
- "122" # Change this to match your "render" host group id and remove this comment
network_mode: 'host'
volumes:
- /path/to/config:/config
- /path/to/cache:/cache
- type: bind
source: /path/to/media
target: /media
- type: bind
source: /path/to/media2
target: /media2
read_only: true
restart: 'unless-stopped'
devices:
- /dev/dri/renderD128:/dev/dri/renderD128