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[GSoC] Provide a PyTorch MNIST Example for Push-based Metrics Collection #1191

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

[GSoC] Provide a PyTorch MNIST Example for Push-based Metrics Collection #1191

name: E2E Test with Katib UI, random search, and postgres
on:
- pull_request
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 ${{ matrix.experiments }} experiments
uses: ./.github/workflows/template-e2e-test
with:
experiments: random
# Comma Delimited
trial-images: pytorch-mnist-cpu
katib-ui: true
database-type: postgres
strategy:
fail-fast: false
matrix:
kubernetes-version: ["v1.27.11", "v1.28.7", "v1.29.2"]