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37 lines
1.8 KiB
Plaintext
37 lines
1.8 KiB
Plaintext
# 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=2.328.0
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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 latest runner from https://github.com/actions/runner and install dependencies
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RUN FILENAME=actions-runner-linux-x64-${RUNNER_VERSION}.tar.gz && \
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curl -o "$FILENAME" -L "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 -y install libicu-dev
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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 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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