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37 lines
1.7 KiB
37 lines
1.7 KiB
# 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 |
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RUN curl -o actions-runner-linux-x64-2.308.0.tar.gz -L https://github.com/actions/runner/releases/download/v2.308.0/actions-runner-linux-x64-2.308.0.tar.gz && \ |
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tar xzf actions-runner-linux-x64-2.308.0.tar.gz && \ |
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rm actions-runner-linux-x64-2.308.0.tar.gz |
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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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