correctness.yml

name: Correctness tests

on:
  workflow_dispatch:
    inputs:
      djl-version:
        description: 'The released version of DJL'
        required: false
        default: ''
  schedule:
    - cron: '0 9 * * *'

jobs:
  create-runners-p4d:
    runs-on: [self-hosted, scheduler]
    steps:
      - name: Create new P4d.24xl instance
        id: create_gpu_p4d
        run: |
          cd /home/ubuntu/djl_benchmark_script/scripts
          token=$( curl -X POST -H "Authorization: token ${{ secrets.ACTION_RUNNER_PERSONAL_TOKEN }}" \
          https://api.github.com/repos/deepjavalibrary/djl-serving/actions/runners/registration-token \
          --fail \
          | jq '.token' | tr -d '"' )
          ./start_instance.sh action_lmic_p4d $token djl-serving
    outputs:
      p4d_instance_id: ${{ steps.create_gpu_p4d.outputs.action_lmic_p4d_instance_id }}

  test:
    runs-on: [ "${{ matrix.test.instance }}" ]
    timeout-minutes: 90
    needs: create-runners-p4d
    strategy:
      fail-fast: false
      matrix:
        test:
          - test: TestCorrectnessLmiDist
            instance: p4d
    steps:
      - uses: actions/checkout@v4
      - name: Clean env
        run: |
          yes | docker system prune -a --volumes
          sudo rm -rf /home/ubuntu/actions-runner/_work/_tool/Java_Corretto_jdk/
          echo "wait dpkg lock..."
          while sudo fuser /var/{lib/{dpkg,apt/lists},cache/apt/archives}/lock >/dev/null 2>&1; do sleep 5; done
      - name: Set up JDK 17
        uses: actions/setup-java@v4
        with:
          distribution: 'corretto'
          java-version: 17
      - name: Set up Python3
        uses: actions/setup-python@v5
        with:
          python-version: '3.10.x'
      - name: Install pip dependencies
        run: pip3 install pytest requests "numpy<2" pillow huggingface_hub
      - name: Install torch
        # Use torch to get cuda capability of current device to selectively run tests
        # Torch version doesn't really matter that much
        run: |
          pip3 install torch==2.3.0
      - name: Install awscurl
        working-directory: tests/integration
        run: |
          curl -OL https://publish.djl.ai/awscurl/awscurl
          chmod +x awscurl
          mkdir outputs
      - name: Test
        working-directory: tests/integration
        env:
          TEST_DJL_VERSION: ${{ inputs.djl-version }}
        run: |
          python -m pytest -k ${{ matrix.test.test }} tests.py
      - name: Cleanup
        working-directory: tests/integration
        run: |
          rm -rf outputs
          rm awscurl
      - name: On Failure
        if: ${{ failure() }}
        working-directory: tests/integration
        run: |
          for file in outputs/*; do if [ -f "$file" ]; then echo "Contents of $file:"; cat "$file"; echo; fi; done
          sudo rm -rf outputs && sudo rm -rf models
          rm awscurl
          docker rm -f $(docker ps -aq) || true
      - name: Upload test logs
        if: ${{ always() }}
        uses: actions/upload-artifact@v4
        with:
          name: test-${{ matrix.test.test }}-logs
          path: tests/integration/all_logs/

  stop-runners-p4d:
    if: always()
    runs-on: [ self-hosted, scheduler ]
    needs: [ create-runners-p4d, test ]
    steps:
      - name: Stop all instances
        run: |
          cd /home/ubuntu/djl_benchmark_script/scripts
          instance_id=${{ needs.create-runners-p4d.outputs.p4d_instance_id }}
          ./stop_instance.sh $instance_id