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# Ultralytics YOLO 🚀, AGPL-3.0 license
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# Builds GitHub actions CI runner image for deployment to DockerHub https://hub.docker.com/r/ultralytics/ultralytics
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# Image is CUDA-optimized for YOLOv8 single/multi-GPU training and inference tests
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# Start FROM Ultralytics GPU image
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FROM ultralytics/ultralytics:latest
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# Set the working directory
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WORKDIR /actions-runner
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# Download and unpack the latest runner from https://github.com/actions/runner
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RUN FILENAME=actions-runner-linux-x64-2.308.0.tar.gz && \
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curl -o $FILENAME -L https://github.com/actions/runner/releases/download/v2.308.0/$FILENAME && \
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tar xzf $FILENAME && \
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rm $FILENAME
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# Install runner dependencies
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ENV RUNNER_ALLOW_RUNASROOT=1
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ENV DEBIAN_FRONTEND=noninteractive
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RUN ./bin/installdependencies.sh && \
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apt-get -y install libicu-dev
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# Inline ENTRYPOINT command to configure and start runner with default TOKEN and NAME
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ENTRYPOINT sh -c './config.sh --url https://github.com/ultralytics/ultralytics \
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--token ${GITHUB_RUNNER_TOKEN:-TOKEN} \
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--name ${GITHUB_RUNNER_NAME:-NAME} \
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--labels gpu-latest \
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--replace && \
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./run.sh'
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# Usage Examples -------------------------------------------------------------------------------------------------------
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# Build and Push
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# t=ultralytics/ultralytics:latest-runner && sudo docker build -f docker/Dockerfile-runner -t $t . && sudo docker push $t
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# Pull and Run in detached mode with access to GPUs 0 and 1
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# t=ultralytics/ultralytics:latest-runner && sudo docker run -d -e GITHUB_RUNNER_TOKEN=TOKEN -e GITHUB_RUNNER_NAME=NAME --ipc=host --gpus '"device=0,1"' $t
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