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[WIP] Add e2e test for tune api with LLM hyperparameter optimization #230

[WIP] Add e2e test for tune api with LLM hyperparameter optimization

[WIP] Add e2e test for tune api with LLM hyperparameter optimization #230

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: ${{ matrix.kubernetes-version }}
- name: Install Training Operator SDK
shell: bash
run: |
pip install "kubeflow-training[huggingface]==1.8.1"
- name: Run e2e test with tune API
uses: ./.github/workflows/template-e2e-test
with:
tune-api: true
training-operator: true
# Step to get logs of the relevant Experiment pod
- name: Fetch Experiment Pod Logs
run: |
POD_NAME=$(kubectl get pods -n default --no-headers -o custom-columns=":metadata.name" | grep tune-example-2)
echo "Fetching logs for pod: $POD_NAME"
kubectl logs $POD_NAME -n default
strategy:
fail-fast: false
matrix:
# Detail: https://hub.docker.com/r/kindest/node
kubernetes-version: ["v1.27.11", "v1.28.7", "v1.29.2"]