| # Ultralytics YOLO 🚀, AGPL-3.0 license | |
| # Builds GitHub actions CI runner image for deployment to DockerHub https://hub.docker.com/r/ultralytics/ultralytics | |
| # Image is CUDA-optimized for YOLOv8 single/multi-GPU training and inference tests | |
| # Start FROM Ultralytics GPU image | |
| FROM ultralytics/ultralytics:latest | |
| # Set the working directory | |
| WORKDIR /actions-runner | |
| # Download and unpack the latest runner from https://github.com/actions/runner | |
| RUN FILENAME=actions-runner-linux-x64-2.309.0.tar.gz && \ | |
| curl -o $FILENAME -L https://github.com/actions/runner/releases/download/v2.309.0/$FILENAME && \ | |
| tar xzf $FILENAME && \ | |
| rm $FILENAME | |
| # Install runner dependencies | |
| ENV RUNNER_ALLOW_RUNASROOT=1 | |
| ENV DEBIAN_FRONTEND=noninteractive | |
| RUN ./bin/installdependencies.sh && \ | |
| apt-get -y install libicu-dev | |
| # Inline ENTRYPOINT command to configure and start runner with default TOKEN and NAME | |
| 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' | |
| # Usage Examples ------------------------------------------------------------------------------------------------------- | |
| # Build and Push | |
| # t=ultralytics/ultralytics:latest-runner && sudo docker build -f docker/Dockerfile-runner -t $t . && sudo docker push $t | |
| # Pull and Run in detached mode with access to GPUs 0 and 1 | |
| # 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 | |