Add Dockerfile-runner for CI actions runner images (#4595)

.github/workflows/docker.yaml

@@ -117,6 +117,9 @@ jobs:
         if: github.event_name == 'push' || (github.event.inputs.dockerfile == matrix.dockerfile && github.event.inputs.push == 'true')
         run: |
           docker push ultralytics/ultralytics:${{ matrix.tags }}
+          if [[ "${{ matrix.tags }}" == "latest" ]]; then
+            t=ultralytics/ultralytics:latest-runner && sudo docker build -f docker/Dockerfile-runner -t $t . && sudo docker push $t
+          fi
 
       - name: Notify on failure
         if: github.event_name == 'push' && failure()  # do not notify on cancelled() as cancelling is performed by hand

docker/Dockerfile-runner

@@ -0,0 +1,37 @@
+# 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
+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 && \
+    tar xzf actions-runner-linux-x64-2.308.0.tar.gz && \
+    rm actions-runner-linux-x64-2.308.0.tar.gz
+
+# 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

tests/test_cuda.py

@@ -27,7 +27,7 @@ def test_checks():
 
 @pytest.mark.skipif(not CUDA_IS_AVAILABLE, reason='CUDA is not available')
 def test_train():
-    device = 0 if CUDA_DEVICE_COUNT < 2 else [0, 1]
+    device = 0 if CUDA_DEVICE_COUNT == 1 else [0, 1]
     YOLO(MODEL).train(data=DATA, imgsz=64, epochs=1, batch=-1, device=device)  # also test AutoBatch, requires imgsz>=64