[GSOC] optuna
suggestion service logic update
#1128
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: ["v1.27.11", "v1.28.7", "v1.29.2"] | |
# 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" | |
- "file-metrics-collector,pytorchjob-mnist" | |
- "median-stop-with-json-format,file-metrics-collector-with-json-format" | |