mirror of
https://github.com/ultralytics/ultralytics
synced 2026-04-21 14:07:18 +00:00
39 lines
2 KiB
Text
39 lines
2 KiB
Text
# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/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 YOLO 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 additional environment variables for runner
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ARG RUNNER_VERSION=2.329.0
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ENV 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 runner from https://github.com/actions/runner and install dependencies
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RUN FILENAME=actions-runner-linux-x64-${RUNNER_VERSION}.tar.gz && \
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curl -fLso "$FILENAME" "https://github.com/actions/runner/releases/download/v${RUNNER_VERSION}/${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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uv pip install --system pytest-cov && \
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./bin/installdependencies.sh && \
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apt-get update && \
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apt-get install -y --no-install-recommends libicu-dev && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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# JSON 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 --token ${GITHUB_RUNNER_TOKEN:-TOKEN} --name ${GITHUB_RUNNER_NAME:-NAME} --labels gpu-latest --replace && ./run.sh"]
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# Usage --------------------------------------------------------------------------------------------------------------
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# Production builds: https://github.com/ultralytics/ultralytics/blob/main/.github/workflows/docker.yml
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# Example (build): t=ultralytics/ultralytics:latest-runner && docker build -f docker/Dockerfile-runner -t $t .
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# Example (push): docker push $t
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# Example (pull): t=ultralytics/ultralytics:latest-runner && docker pull $t
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# Example (run): docker run -d --restart unless-stopped -e GITHUB_RUNNER_TOKEN=TOKEN -e GITHUB_RUNNER_NAME=NAME --ipc=host --runtime=nvidia --gpus all $t
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