Jellyfin Docker Permissions

[erik15]

So you're running sudo docker exec, which isn't what you want. Because inside the container is a completely different file system layer, it has different permissions. You could technically run:

Code:

docker exec -it jellyfin /bin/bash

And then go in and try to run ldconfig or nvidia-smi. It seems like a permissions issue. Looking at the hardware acceleration documentation, I'm wondering if there was a step missed or something like that. So taking a step back, I have a few troubleshooting requests... 

1. Could you post (using the code block tool and not a quick post, preferably) your redacted docker run command or compose file? 
   
2. Also confirm that you installed the NVIDIA driver and container toolkit (steps 1 and 2 in the virtualized hardware acceleration guide). 
   
3. Maybe confirm your user and group IDs by running ID and ensuring that your user and group ID numbers match 1000:1000 and not something else (I've never had them be 1000:1000).
   

Hopefully that'll put us on the right path...

I can only run 

Code:

docker exec -it jellyfin /bin/bash

with sudo.

After that, that's what I tried:

Code:

I have no name!@myhomeserver:/$ groups
groups: cannot find name for group ID 1000
1000
I have no name!@myhomeserver:/$ id
uid=1000 gid=1000 groups=1000
I have no name!@myhomeserver:/$ who

Code:

I have no name!@myhomeserver:/$ ldconfig
ldconfig: Can't create temporary cache file /etc/ld.so.cache~: Permission denied
I have no name!@myhomeserver:/$ su
Password:
su: Authentication failure

Also my user on the server has 1000:1000 but his not in the docker group, and i dont know the password for su inside the jellyfin container.

My yml file:

Code:

version: '3.5'
services:
  jellyfin:
    image: jellyfin/jellyfin
    container_name: jellyfin
    user: 1000:1000
    network_mode: 'host'
    volumes:
      - /home/erik/srv/jellyfin/config:/config
      - /home/erik/srv/jellyfin/cache:/cache
      - /home/erik/Media:/media
    restart: 'unless-stopped'
    runtime: nvidia
    deploy:
      resources:
        reservations:
          devices:
            - capabilities: [gpu]

I comment out the user fot gpu acceleration to work.