tfhe-rs/.github/workflows/gpu_code_validation_tests.yml

# Compile and test tfhe-cuda-backend on an AWS instance
name: gpu_code_validation_tests

env:
  CARGO_TERM_COLOR: always
  ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
  RUSTFLAGS: "-C target-cpu=native"
  RUST_BACKTRACE: "full"
  RUST_MIN_STACK: "8388608"
  SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
  SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
  SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
  SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
  SLACKIFY_MARKDOWN: true
  IS_PULL_REQUEST: ${{ github.event_name == 'pull_request' }}
  PULL_REQUEST_MD_LINK: ""
  CHECKOUT_TOKEN: ${{ secrets.REPO_CHECKOUT_TOKEN || secrets.GITHUB_TOKEN }}
  # Secrets will be available only to zama-ai organization members
  SECRETS_AVAILABLE: ${{ secrets.JOB_SECRET != '' }}
  EXTERNAL_CONTRIBUTION_RUNNER: "gpu_ubuntu-22.04"

on:
  # Allows you to run this workflow manually from the Actions tab as an alternative.
  workflow_dispatch:
  schedule:
    # every month
    - cron: "0 0 1 * *"

permissions:
  contents: read

# zizmor: ignore[concurrency-limits] concurrency is managed after instance setup to ensure safe provisioning

jobs:
  setup-instance:
    name: gpu_code_validation_tests/setup-instance
    runs-on: ubuntu-latest
    if: github.event_name != 'pull_request' ||
      (github.event.action == 'labeled' && github.event.label.name == 'approved')
    outputs:
      runner-name: ${{ steps.start-remote-instance.outputs.label || steps.start-github-instance.outputs.runner_group }}
    steps:
      - name: Start remote instance
        id: start-remote-instance
        if: env.SECRETS_AVAILABLE == 'true'
        uses: zama-ai/slab-github-runner@973c1d22702de8d0acd2b34e83404c96ed92c264 # v1.4.2
        with:
          mode: start
          github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
          slab-url: ${{ secrets.SLAB_BASE_URL }}
          job-secret: ${{ secrets.JOB_SECRET }}
          backend: hyperstack
          profile: single-h100

      # This instance will be spawned especially for pull-request from forked repository
      - name: Start GitHub instance
        id: start-github-instance
        if: env.SECRETS_AVAILABLE == 'false'
        run: |
          echo "runner_group=${EXTERNAL_CONTRIBUTION_RUNNER}" >> "$GITHUB_OUTPUT"

  cuda-tests-linux:
    name: gpu_code_validation_tests/cuda-tests-linux
    needs: [ setup-instance ]
    if: github.event_name != 'pull_request' ||
      (github.event_name == 'pull_request' && needs.setup-instance.result != 'skipped')
    concurrency:
      group: ${{ github.workflow_ref }}
      cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
    runs-on: ${{ needs.setup-instance.outputs.runner-name }}
    timeout-minutes: 14400
    strategy:
      fail-fast: false
      # explicit include-based build matrix, of known valid options
      matrix:
        include:
          - os: ubuntu-22.04
            cuda: "12.8"
            gcc: 11 
    steps:
      - name: Checkout tfhe-rs
        uses: actions/checkout@8e8c483db84b4bee98b60c0593521ed34d9990e8
        with:
          persist-credentials: 'false'
          token: ${{ env.CHECKOUT_TOKEN }}

      - name: Setup Hyperstack dependencies
        uses: ./.github/actions/gpu_setup
        with:
          cuda-version: ${{ matrix.cuda }}
          gcc-version: ${{ matrix.gcc }}
          github-instance: ${{ env.SECRETS_AVAILABLE == 'false' }}

      - name: Find tools
        run: |
          sudo apt update && sudo apt install -y valgrind 
          find /usr -executable -name "compute-sanitizer"
          which valgrind

      - name: Install latest stable
        uses: dtolnay/rust-toolchain@e97e2d8cc328f1b50210efc529dca0028893a2d9 # zizmor: ignore[stale-action-refs] this action doesn't create releases
        with:
          toolchain: stable

      - name: Run memory sanitizer
        run: |
          make test_high_level_api_gpu_valgrind

  slack-notify:
    name: gpu_code_validation_tests/slack-notify
    needs: [ setup-instance, cuda-tests-linux ]
    runs-on: ubuntu-latest
    if: ${{ always() && needs.cuda-tests-linux.result != 'skipped' && failure() }}
    continue-on-error: true
    steps:
      - name: Set pull-request URL
        if: env.SECRETS_AVAILABLE == 'true' && github.event_name == 'pull_request'
        run: |
          echo "PULL_REQUEST_MD_LINK=[pull-request](${PR_BASE_URL}${PR_NUMBER}), "  >> "${GITHUB_ENV}"
        env:
          PR_BASE_URL: ${{ vars.PR_BASE_URL }}
          PR_NUMBER: ${{ github.event.pull_request.number }}

      - name: Send message
        if: env.SECRETS_AVAILABLE == 'true'
        uses: rtCamp/action-slack-notify@e31e87e03dd19038e411e38ae27cbad084a90661
        env:
          SLACK_COLOR: ${{ needs.cuda-tests-linux.result }}
          SLACK_MESSAGE: "GPU Memory Checks tests finished with status: ${{ needs.cuda-tests-linux.result }}. (${{ env.PULL_REQUEST_MD_LINK }}[action run](${{ env.ACTION_RUN_URL }}))"

  teardown-instance:
    name: gpu_code_validation_tests/teardown-instance
    if: ${{ always() && needs.setup-instance.result == 'success' }}
    needs: [ setup-instance, cuda-tests-linux ]
    runs-on: ubuntu-latest
    steps:
      - name: Stop remote instance
        id: stop-instance
        if: env.SECRETS_AVAILABLE == 'true'
        uses: zama-ai/slab-github-runner@973c1d22702de8d0acd2b34e83404c96ed92c264 # v1.4.2
        with:
          mode: stop
          github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
          slab-url: ${{ secrets.SLAB_BASE_URL }}
          job-secret: ${{ secrets.JOB_SECRET }}
          label: ${{ needs.setup-instance.outputs.runner-name }}

      - name: Slack Notification
        if: ${{ failure() }}
        uses: rtCamp/action-slack-notify@e31e87e03dd19038e411e38ae27cbad084a90661
        env:
          SLACK_COLOR: ${{ job.status }}
          SLACK_MESSAGE: "Instance teardown (cuda-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"