Open lreiher opened 2 years ago
Have the same problem. At serving, I got the following warning:
Available docker runtimes runtimes={"io.containerd.runc.v2":{"path":"runc"},"io.containerd.runtime.v1.linux":{"path":"runc"},"runc":{"path":"runc"}}
WARN: App requires GPU, but runtime nvidia not found in docker info, GPU features will be unavailable. Please, check nvidia drivers or contact tech support
Think the check must be updated. I run the local agent with --gpus all
.
Update: Ok, think this is more a problem with supervisely agent. If I run the docker container with --gpus all --privileged
it works.
I know that this problem is not only related to this repository, however, I did not find a more suitable place in your GitHub to post this issue.
I was trying to deploy this app for 3D object detection on my custom Supervisely agent running on my own machine. Obviously the Docker containers need GPU support to run this.
As far as I am aware, the
--runtime=nvidia
flag todocker run
is officially deprected (e.g., see here). Instead, one can simply pass--gpus all
. Passing--runtime=nvidia
throws an error on my system, even though I'm able to run GPU-enabled Docker containers.So the first issue I ran into was setting up the Supervisely agent. I managed to get the agent running by changing
--runtime=nvidia
to--gpus all
in the bash script that I downloaded for setting up the agent. In the Supervisely web interface thenvidia-smi
status was shown successfully.Deploying this application though gave me another error: I'm assuming that the agent tried to launch another container with
--runtime=nvidia
, which is not available, s.t. the container is launched without GPU support and not able to run the neural network.TLDR: You should replace
--runtime=nvidia
by the--gpus
flag for GPU-enabled Docker agents.