Dev test workflow #59
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| name: Test branch or PR | |
| on: | |
| pull_request: | |
| types: [opened, review_requested, ready_for_review, synchronize, unlocked] | |
| merge_group: | |
| types: [checks_requested] | |
| #push: | |
| # branches: | |
| # - 'dev_test_workflow' # debug only | |
| workflow_dispatch: | |
| concurrency: | |
| group: comodels-test-${{ github.ref }} | |
| cancel-in-progress: true | |
| env: | |
| CO_MODELS_SRC: CoModels | |
| TEST_DIR: test_dir | |
| TEST_IMG_TAG: comodels_test:latest | |
| TEST_CONTAINER_NAME: co_models_test | |
| jobs: | |
| test_job: | |
| name: Collect information about PR and source | |
| runs-on: [self-hosted] | |
| steps: | |
| - name: Set up MODEL_ARCH | |
| if: github.event_name == 'push' | |
| run: | | |
| # use resnet50 for debug | |
| echo "MODEL_ARCH=resnet50" >> $GITHUB_ENV | |
| - name: Set up MODEL_ARCH from PR | |
| if: github.event.pull_request.draft == false && github.base_ref == 'master' | |
| run: | | |
| model_arch=${{ github.event.pull_request.title }} | |
| # use pr title as the MODEL_ARCH | |
| echo "MODEL_ARCH=$model_arch" >> $GITHUB_ENV | |
| - name: Set up MODEL_ARCH from workflow_dispatch branch | |
| if: github.event_name == 'workflow_dispatch' | |
| run: | | |
| # use branch name as the MODEL_ARCH | |
| model_arch=${{ github.ref_name }} | |
| echo "MODEL_ARCH=$model_arch" >> $GITHUB_ENV | |
| - name: Checkout CoModels branch | |
| uses: actions/checkout@v4 | |
| with: | |
| ref: ${{ env.BRANCH }} | |
| path: ${{ env.CO_MODELS_SRC}} | |
| - name: Prepare test directory | |
| run: | | |
| model_dir='${{ env.CO_MODELS_SRC }}/cv/classification/${{ env.MODEL_ARCH }}' | |
| if [ -d "$model_dir" ]; then | |
| cp -rL "$model_dir" "${{ env.TEST_DIR }}" | |
| else | |
| return 0 | |
| fi | |
| - name: Prepare Container | |
| run: | | |
| docker rm -f ${{ env.TEST_CONTAINER_NAME }} || true | |
| docker run --gpus=all -d --rm --privileged --shm-size=8g \ | |
| --cap-add=SYS_PTRACE --security-opt seccomp=unconfined \ | |
| -v /share_nfs/dataset/ImageNet:/data/dataset/ImageNet \ | |
| -v /share_nfs/model_zoo/flowvision_cache:/oneflow/flowvision_cache \ | |
| -e FLOWVISION_CACHE=/oneflow/flowvision_cache \ | |
| -v $(pwd)/${{ env.TEST_DIR }}:/workspace/${{ env.TEST_DIR }} \ | |
| -w /workspace/${{ env.TEST_DIR }} \ | |
| --name ${{ env.TEST_CONTAINER_NAME }} \ | |
| ${{ env.TEST_IMG_TAG }} \ | |
| sleep 5400 | |
| - name: run inference | |
| run: | | |
| docker exec ${{ env.TEST_CONTAINER_NAME }} nvidia-smi | |
| docker exec ${{ env.TEST_CONTAINER_NAME }} bash ./infer.sh | |
| - name: run training | |
| run: | | |
| docker exec ${{ env.TEST_CONTAINER_NAME }} sed -i 's/main.py/main.py --epochs 1/g' train.sh | |
| #docker exec ${{ env.TEST_CONTAINER_NAME }} sed -i 's/GPU_NUMS=[0-9]*/GPU_NUMS=2/g' train.sh | |
| docker exec ${{ env.TEST_CONTAINER_NAME }} bash ./train.sh | |