[GSoC] Add e2e test for tune api with LLM hyperparameter optimization
#1408
Workflow file for this run
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| name: E2E Test with pytorch-mnist | |
| on: | |
| pull_request: | |
| paths-ignore: | |
| - "pkg/ui/v1beta1/frontend/**" | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.ref }} | |
| cancel-in-progress: true | |
| jobs: | |
| e2e: | |
| runs-on: ubuntu-22.04 | |
| timeout-minutes: 120 | |
| steps: | |
| - name: Checkout | |
| uses: actions/checkout@v4 | |
| - name: Setup Test Env | |
| uses: ./.github/workflows/template-setup-e2e-test | |
| with: | |
| kubernetes-version: ${{ matrix.kubernetes-version }} | |
| python-version: "3.10" | |
| - name: Run e2e test with ${{ matrix.experiments }} experiments | |
| uses: ./.github/workflows/template-e2e-test | |
| with: | |
| experiments: ${{ matrix.experiments }} | |
| training-operator: true | |
| # Comma Delimited | |
| trial-images: pytorch-mnist-cpu | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| kubernetes-version: ["v1.29.2", "v1.30.7", "v1.31.3"] | |
| # Comma Delimited | |
| experiments: | |
| # suggestion-hyperopt | |
| - "long-running-resume,from-volume-resume,median-stop" | |
| # others | |
| - "grid,bayesian-optimization,tpe,multivariate-tpe,cma-es,hyperband" | |
| - "hyperopt-distribution,optuna-distribution" | |
| - "file-metrics-collector,pytorchjob-mnist" | |
| - "median-stop-with-json-format,file-metrics-collector-with-json-format" |