Installer Tdarr sur WSL/Ubuntu
SI ce n’est pas déjà fait, il faut installer docker.io et docker-compose avant d’installer Tdarr :
$ sudo apt install docker.io docker-compose -y
Issue : https://unix.stackexchange.com/questions/724518/the-following-packages-have-unmet-dependencies-containerd-io
Si vous rencontrez l’erreur :
`Reading package lists... Done Building dependency tree... Done Reading state information... Done Some packages could not be installed. This may mean that you have requested an impossible situation or if you are using the unstable distribution that some required packages have not yet been created or been moved out of Incoming. The following information may help to resolve the situation:
The following packages have unmet dependencies: containerd.io : Conflicts: containerd Conflicts: runc E: Error, pkgProblemResolver::Resolve generated breaks, this may be caused by held packages.`
Il faut supprimer containerd avant d’installer docker.io :
$ sudo apt-get remove containerd.io $ sudo apt install docker.io docker-compose -y $ sudo systemctl start docker $ sudo gpasswd -a $USER docker
Puis composer le fichier docker-compose.yml :
`version: "3.4" services: tdarr: container_name: tdarr image: ghcr.io/haveagitgat/tdarr:latest restart: unless-stopped network_mode: bridge ports:
- 8265:8265 # webUI port
- 8266:8266 # server port environment:
- TZ=Europe/Paris
- PUID=$PUID
- PGID=$PGID
- UMASK_SET=002
- serverIP=0.0.0.0
- serverPort=8266
- webUIPort=8265
- internalNode=true
- inContainer=true
- ffmpegVersion=7
- nodeName=MyInternalNode
- auth=false
- openBrowser=true
- maxLogSizeMB=10
- cronPluginUpdate=
- NVIDIA_DRIVER_CAPABILITIES=all
- NVIDIA_VISIBLE_DEVICES=all volumes:
- /docker/tdarr/server:/app/server
- /docker/tdarr/configs:/app/configs
- /docker/tdarr/logs:/app/logs
- /media:/media
- /mnt:/mnt
-
/transcode_cache:/temp
devices:
- /dev/dri:/dev/dri
deploy:
resources:
reservations:
devices:
- driver: nvidia count: all capabilities: [gpu]
node example
tdarr-node: container_name: tdarr-node image: ghcr.io/haveagitgat/tdarr_node:latest restart: unless-stopped network_mode: service:tdarr environment:
- TZ=Europe/Paris
- PUID=$PUID
- PGID=$PGID
- UMASK_SET=002
- nodeName=MyExternalNode
- serverIP=0.0.0.0
- serverPort=8266
- inContainer=true
- ffmpegVersion=7
- nodeType=mapped
- priority=-1
- cronPluginUpdate=
- apiKey=
- maxLogSizeMB=10
- pollInterval=2000
- startPaused=false
- transcodegpuWorkers=1
- transcodecpuWorkers=2
- healthcheckgpuWorkers=1
- healthcheckcpuWorkers=1
- NVIDIA_DRIVER_CAPABILITIES=all
-
NVIDIA_VISIBLE_DEVICES=all
volumes:
- /docker/tdarr/configs:/app/configs
- /docker/tdarr/logs:/app/logs
- /media:/media
- /mnt:/mnt
-
/transcode_cache:/temp
devices:
- /dev/dri:/dev/dri
deploy:
resources:
reservations:
devices:
- driver: nvidia count: all capabilities: [gpu]`
Issue : https://github.com/HaveAGitGat/Tdarr/issues/610
Si vous rencontrez l’erreur suivante lors de la composition :
ERROR: for tdarr Cannot start service tdarr: error gathering device information while adding custom device "/dev/dri": no such file or directory
Il faut installer les pilotes NVIDIA :
$ curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \ && curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \ sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | \ sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list $ sudo apt update $ export NVIDIA_CONTAINER_TOOLKIT_VERSION=1.18.0-1 sudo apt-get install -y \ nvidia-container-toolkit=${NVIDIA_CONTAINER_TOOLKIT_VERSION} \ nvidia-container-toolkit-base=${NVIDIA_CONTAINER_TOOLKIT_VERSION} \ libnvidia-container-tools=${NVIDIA_CONTAINER_TOOLKIT_VERSION} \ libnvidia-container1=${NVIDIA_CONTAINER_TOOLKIT_VERSION}
Puis configurer docker pour l’utiliser le pilote NVIDIA avec nvidia-ctk :
$ sudo nvidia-ctk runtime configure --runtime=docker $ sudo systemctl restart docker