Still having trouble with this. I've even tried creating a debain 11 based VM with GPU passthrough, and running jellyfin via docker through that. I must admit, I've been able to take a slight step forward. But I still can't get encoding to work.
I seem to have the same issue as the OP
here, who ultimately corrected the issue by upgrading ESXi. Which makes me think TureNAS might be causing an issue here.
Anyway, I've dropped logs and details below. Let me know if anyone has been able to overcome this.
------------------------------------------------
VM: Debian 11.4 x86_64 (installed without a desktop environment)
CPU: 8700k
GPU: Nvidia 1080
TrueNAS: SCALE-22.02.3
------------------------------------------------
how I installed nvidia drivers and the container toolkit on the VM:
Code:
sudo add-apt-repository contrib
sudo add-apt-repository non-free
sudo apt-get update && sudo apt-get upgrade
# if you have a CPU with 64bit op-mode per 'lscpu | grep CPU':
sudo apt-get install linux-headers-amd64 -y
sudo apt-get install firmware-misc-nonfree -y
sudo apt-get install nvidia-driver -y
sudo reboot
distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \
&& curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - \
&& curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
sudo apt-get update && sudo apt-get upgrade
sudo apt-get install nvidia-container-toolkit -y
sudo systemctl restart docker
------------------------------------------------
docker-compose for jellyfin:
Code:
---
version: '3.8'
services:
jellyfin:
image: jellyfin/jellyfin:latest
container_name: jellyfin-nvidia
environment:
- PUID=1000
- PGID=1000
- TZ=US/Central
- JELLYFIN_PublishedServerUrl=${PUBLISHED_SERVER}
- NVIDIA_DRIVER_CAPABILITIES=all
- NVIDIA_VISIBLE_DEVICES=all
user: 1000:1000
volumes:
- ${DATA_PATH}/jellyfin:/config
ports:
- 8096:8096
- 8920:8920 #optional
- 7359:7359/udp #optional
- 1900:1900/udp #optional
restart: unless-stopped
deploy:
resources:
reservations:
devices:
- capabilities: [gpu]
------------------------------------------------
Jellyfin transcoding settings:
per my GPU:
https://en.wikipedia.org/wiki/Nvidia_NVDEC
Enable hardware decoding for:
H264
HEVC
MPEG2
VC1
VP8
Enable enhanced NVDEC decoder (checked)
Enable hardware encoding (checked) <-- I can avoid the ffmpeg error noted (no cuda support) below if I uncheck this
Allow encoding in HEVC format (checked)
------------------------------------------------
nvidia-smi on the VM, which also matches the nvidia-smi output on the container:
Code:
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 515.65.01 Driver Version: 515.65.01 CUDA Version: 11.7 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA GeForce ... On | 00000000:00:08.0 Off | N/A |
| 32% 30C P8 14W / 180W | 1MiB / 8192MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
------------------------------------------------
transcode error log:
Code:
ffmpeg version 5.1-Jellyfin Copyright (c) 2000-2022 the FFmpeg developers
built with gcc 10 (Debian 10.2.1-6)
configuration: --prefix=/usr/lib/jellyfin-ffmpeg --target-os=linux --extra-libs=-lfftw3f --extra-version=Jellyfin --disable-doc --disable-ffplay --disable-ptx-compression --disable-shared --disable-libxcb --disable-sdl2 --disable-xlib --enable-lto --enable-gpl --enable-version3 --enable-static --enable-gmp --enable-gnutls --enable-chromaprint --enable-libdrm --enable-libass --enable-libfreetype --enable-libfribidi --enable-libfontconfig --enable-libbluray --enable-libmp3lame --enable-libopus --enable-libtheora --enable-libvorbis --enable-libdav1d --enable-libwebp --enable-libvpx --enable-libx264 --enable-libx265 --enable-libzvbi --enable-libzimg --enable-libfdk-aac --arch=amd64 --enable-libshaderc --enable-libplacebo --enable-vulkan --enable-opencl --enable-vaapi --enable-amf --enable-libmfx --enable-ffnvcodec --enable-cuda --enable-cuda-llvm --enable-cuvid --enable-nvdec --enable-nvenc
libavutil 57. 28.100 / 57. 28.100
libavcodec 59. 37.100 / 59. 37.100
libavformat 59. 27.100 / 59. 27.100
libavdevice 59. 7.100 / 59. 7.100
libavfilter 8. 44.100 / 8. 44.100
libswscale 6. 7.100 / 6. 7.100
libswresample 4. 7.100 / 4. 7.100
libpostproc 56. 6.100 / 56. 6.100
[AVHWDeviceContext @ 0x555d5df0be00] cu->cuInit(0) failed -> CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected
Device creation failed: -542398533.
Failed to set value 'cuda=cu:0' for option 'init_hw_device': Generic error in an external library
Error parsing global options: Generic error in an external library
