aws_tfhe_multi_gpu_tests.yml

# Compile and test tfhe-cuda-backend on an AWS instance
name: TFHE Cuda Backend - Full tests multi-GPU

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 }}

on:
  # Allows you to run this workflow manually from the Actions tab as an alternative.
  workflow_dispatch:
  pull_request:
    types: [ labeled ]

jobs:
  setup-instance:
    name: Setup instance (cuda-tests-multi-gpu)
    if: github.event_name != 'pull_request' || contains(github.event.label.name, 'approved')
    runs-on: ubuntu-latest
    outputs:
      runner-name: ${{ steps.start-instance.outputs.label }}
    steps:
      - name: Start instance
        id: start-instance
        uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
        with:
          mode: start
          github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
          slab-url: ${{ secrets.SLAB_BASE_URL }}
          job-secret: ${{ secrets.JOB_SECRET }}
          backend: aws
          profile: multi-gpu-test

  cuda-tests-linux:
    name: CUDA multi-GPU tests
    needs: [ setup-instance ]
    concurrency:
      group: ${{ github.workflow }}_${{ github.ref }}
      cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
    runs-on: ${{ needs.setup-instance.outputs.runner-name }}
    strategy:
      fail-fast: false
      # explicit include-based build matrix, of known valid options
      matrix:
        include:
          - os: ubuntu-22.04
            cuda: "12.2"
            gcc: 9
    env:
      CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}

    steps:
      - name: Checkout tfhe-rs
        uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332

      - name: Set up home
        run: |
          echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"

      - name: Install latest stable
        uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
        with:
          toolchain: stable

      - name: Export CUDA variables
        if: ${{ !cancelled() }}
        run: |
          echo "CUDA_PATH=$CUDA_PATH" >> "${GITHUB_ENV}"
          echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
          echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH" >> "${GITHUB_ENV}"
          echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc" >> "${GITHUB_ENV}"

      # Specify the correct host compilers
      - name: Export gcc and g++ variables
        if: ${{ !cancelled() }}
        run: |
          {
            echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
            echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
            echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
            echo "HOME=/home/ubuntu";
          } >> "${GITHUB_ENV}"

      # No need to test core_crypto and classic PBS in integer since it's already tested on single GPU.
      - name: Run multi-bit CUDA integer tests
        run: |
          make test_integer_multi_bit_gpu_ci

      - name: Run user docs tests
        run: |
          make test_user_doc_gpu

      - name: Test C API
        run: |
          make test_c_api_gpu

      - name: Run High Level API Tests
        run: |
          make test_high_level_api_gpu

      - name: Slack Notification
        if: ${{ always() }}
        continue-on-error: true
        uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
        env:
          SLACK_COLOR: ${{ job.status }}
          SLACK_MESSAGE: "CUDA AWS multi-GPU tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

  teardown-instance:
    name: Teardown instance (cuda-tests-multi-gpu)
    if: ${{ always() && needs.setup-instance.result != 'skipped' }}
    needs: [ setup-instance, cuda-tests-linux ]
    runs-on: ubuntu-latest
    steps:
      - name: Stop instance
        id: stop-instance
        uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
        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() }}
        continue-on-error: true
        uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
        env:
          SLACK_COLOR: ${{ job.status }}
          SLACK_MESSAGE: "Instance teardown (cuda-tests-multi-gpu) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"