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/London
      - 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