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View Code? Open in Web Editor NEWA containerized variant of the Starnet++ application
Home Page: https://hub.docker.com/repository/docker/thijsvanloef/starnet-docker
License: MIT License
A containerized variant of the Starnet++ application
Home Page: https://hub.docker.com/repository/docker/thijsvanloef/starnet-docker
License: MIT License
Describe the bug
I created a new unraid template for this docker container - it works and wil process images using the CPU. However, when trying to make the docker make use of my installed GPU, it is not working. Here is the docker run:
docker run
-d
--name='starnet-docker'
--net='bridge'
-e TZ="America/New_York"
-e HOST_OS="Unraid"
-e HOST_HOSTNAME="UnRaidNas"
-e HOST_CONTAINERNAME="starnet-docker"
-e 'PARALLEL'='false'
-e 'STRIDE'='128'
-e 'NVIDIA_VISIBLE_DEVICES'='GPU-fed446a2-d4a9-6b55-39a0-851833e73e1b'
-e 'NVIDIA_DRIVER_CAPABILITIES'='all'
-l net.unraid.docker.managed=dockerman
-v '/mnt/user/Astronomy/Starnet/input/':'/home/starnet/application/input/':'rw'
-v '/mnt/user/Astronomy/Starnet/output/':'/home/starnet/application/output/':'rw'
--runtime=nvidia 'thijsvanloef/starnet-docker'
--gpus=all
233ae4385ba5931ad2c82a388256cb8c092ef550ec87dcdcc0b3b4face8ae7da
the --runtime=nvidia, and other nvidia parameter are necessary for passing in a GPU to a container on unraid. I verified the GPU was visible in the container while it was running by using the console and using nvidia-smi
which showed my GPU as have no jobs or running processes.
I also noticed in the docker tha the container size was only about 600mb, whereas the github repo lists the CUDA size at over 2 Gb. Not sure, perhaps I am pulling the wrong version, but this is the only on on dockerhub.
To Reproduce
Steps to reproduce the behavior:
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