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Feature/Example for training KFP v1 #417

Feature/Example for training KFP v1

Feature/Example for training KFP v1 #417

name: E2E Test with mxnet-mnist
on:
pull_request:
paths-ignore:
- "pkg/new-ui/v1beta1/frontend/**"
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
jobs:
e2e:
runs-on: ubuntu-20.04
timeout-minutes: 120
steps:
- name: Checkout
uses: actions/checkout@v3
- name: Setup Test Env
uses: ./.github/workflows/template-setup-e2e-test
with:
kubernetes-version: ${{ matrix.kubernetes-version }}
python-version: "3.9"
- name: Run e2e test with ${{ matrix.experiments }} experiments
uses: ./.github/workflows/template-e2e-test
with:
experiments: ${{ matrix.experiments }}
# Comma Delimited
trial-images: mxnet-mnist
strategy:
fail-fast: false
matrix:
kubernetes-version: ["v1.23.13", "v1.24.7", "v1.25.3"]
# Comma Delimited
experiments:
# suggestion-hyperopt
- "long-running-resume,from-volume-resume,median-stop"
# others
- "grid,bayesian-optimization,tpe,multivariate-tpe,cma-es,hyperband"