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[GH-ISSUE #161] quickstart docker compose container crashing with exit code 6 #108
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Originally created by @dpchamps on GitHub (Jan 10, 2025).
Original GitHub issue: https://github.com/games-on-whales/wolf/issues/161
Wondering if someone could help me diagnose, seeing the following with LOG_LEVEL=DEBUG:
Container Logs
Various infos that may prove helpful:
$ sudo nvidia-container-cli -V
$ cat docker-compose.yml
version: "3" services: wolf: image: ghcr.io/games-on-whales/wolf:stable environment: - XDG_RUNTIME_DIR=/tmp/sockets - HOST_APPS_STATE_FOLDER=/etc/wolf - NVIDIA_DRIVER_CAPABILITIES=all - NVIDIA_VISIBLE_DEVICES=all volumes: - /etc/wolf/:/etc/wolf - /tmp/sockets:/tmp/sockets:rw - /var/run/docker.sock:/var/run/docker.sock:rw - /dev/:/dev/:rw - /run/udev:/run/udev:rw device_cgroup_rules: - 'c 13:* rmw' devices: - /dev/dri - /dev/uinput - /dev/uhid runtime: nvidia deploy: resources: reservations: devices: - capabilities: [gpu] network_mode: host restart: unless-stopped@ABeltramo commented on GitHub (Jan 10, 2025):
Interesting, it looks like you are triggering an exception somewhere. Can you try lowering the
WOLF_LOG_LEVELtoTRACEand send the logs again?On a different note, looks like you've got a dual GPU setup (it's picking up an Intel GPU,
qsvmeans quicksync) you can checkout the following guide to set the Nvidia GPU instead:https://games-on-whales.github.io/wolf/stable/user/configuration.html#_multiple_gpu
@dpchamps commented on GitHub (Jan 11, 2025):
@ABeltramo thanks for the snappy response!
TRACEshowed 137 errors -- but not OOM killed. Made some adjustments to my system, and container is up and running.Good callout on the dual gpu, will configure.
@ABeltramo commented on GitHub (Jan 11, 2025):
I'm curious though, what was the issue, and how did you fix it?
@dpchamps commented on GitHub (Jan 11, 2025):
It's not a satisfying answer unfortunately. I did a
docker system prune, and the container started booting. Plenty of space on the system, so there must've been a dangling image or volume somewhere causing problems.I had tried
docker container pruneanddocker volume prunefirst.@ABeltramo commented on GitHub (Jan 11, 2025):
No problem! So I guess we can close this issue then, feel free to re-open if you can reproduce the issue!
modeset=1#363