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[GSoC] Provide a PyTorch MNIST Example for Push-based Metrics Collection #272

[GSoC] Provide a PyTorch MNIST Example for Push-based Metrics Collection

[GSoC] Provide a PyTorch MNIST Example for Push-based Metrics Collection #272

name: E2E Test with tune API
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 }}
- name: Run e2e test with tune API
uses: ./.github/workflows/template-e2e-test
with:
tune-api: true
strategy:
fail-fast: false
matrix:
# Detail: https://hub.docker.com/r/kindest/node
kubernetes-version: ["v1.27.11", "v1.28.7", "v1.29.2"]