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44 lines
1.9 KiB
44 lines
1.9 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 YOLO11 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 environment variables |
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ENV PYTHONUNBUFFERED=1 \ |
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PYTHONDONTWRITEBYTECODE=1 \ |
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PIP_NO_CACHE_DIR=1 \ |
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PIP_BREAK_SYSTEM_PACKAGES=1 \ |
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RUNNER_ALLOW_RUNASROOT=1 \ |
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DEBIAN_FRONTEND=noninteractive |
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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-x64-2.320.0.tar.gz && \ |
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curl -o $FILENAME -L https://github.com/actions/runner/releases/download/v2.320.0/$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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RUN pip install pytest-cov |
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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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