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

# Run integer benchmarks on an instance with CUDA and return parsed results to Slab CI bot.
name: Integer GPU benchmarks

on:
  workflow_dispatch:
  push:
    branches:
      - main

env:
  CARGO_TERM_COLOR: always
  RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
  PARSE_INTEGER_BENCH_CSV_FILE: tfhe_rs_integer_benches_${{ github.sha }}.csv
  ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
  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 }}

jobs:
  setup-instance:
    name: Setup instance (cuda-integer-benchmarks)
    runs-on: ubuntu-latest
    if:  github.event_name == 'workflow_dispatch' ||
      (github.event_name == 'push' && github.repository == 'zama-ai/tfhe-rs')
    outputs:
      runner-name: ${{ steps.start-instance.outputs.label }}
    steps:
      - name: Start instance
        id: start-instance
        uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
        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

  cuda-integer-benchmarks:
    name: Execute GPU integer benchmarks
    needs: setup-instance
    runs-on: ${{ needs.setup-instance.outputs.runner-name }}
    strategy:
      fail-fast: false
      # explicit include-based build matrix, of known valid options
      matrix:
        include:
          - os: ubuntu-22.04
            cuda: "12.2"
            gcc: 11
    env:
      CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
      CMAKE_VERSION: 3.29.6
    steps:
      # Mandatory on hyperstack since a bootable volume is not re-usable yet.
      - name: Install dependencies
        run: |
          sudo apt update
          sudo apt install -y checkinstall zlib1g-dev libssl-dev libclang-dev
          wget https://github.com/Kitware/CMake/releases/download/v${{ env.CMAKE_VERSION }}/cmake-${{ env.CMAKE_VERSION }}.tar.gz
          tar -zxvf cmake-${{ env.CMAKE_VERSION }}.tar.gz
          cd cmake-${{ env.CMAKE_VERSION }}
          ./bootstrap
          make -j"$(nproc)"
          sudo make install

      - name: Checkout tfhe-rs repo with tags
        uses: actions/checkout@eef61447b9ff4aafe5dcd4e0bbf5d482be7e7871
        with:
          fetch-depth: 0
          token: ${{ secrets.FHE_ACTIONS_TOKEN }}

      - name: Get benchmark details
        run: |
          {
            echo "BENCH_DATE=$(date --iso-8601=seconds)";
            echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
            echo "COMMIT_HASH=$(git describe --tags --dirty)";
          } >> "${GITHUB_ENV}"

      - name: Set up home
        # "Install rust" step require root user to have a HOME directory which is not set.
        run: |
          echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"

      - name: Install rust
        uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
        with:
          toolchain: nightly

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

      # 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 }}";
          } >> "${GITHUB_ENV}"

      - name: Check device is detected
        if: ${{ !cancelled() }}
        run: nvidia-smi

      - name: Run benchmarks with AVX512
        run: |
          make FAST_BENCH=TRUE BENCH_OP_FLAVOR=default bench_integer_gpu

      - name: Parse benchmarks to csv
        run: |
          make PARSE_INTEGER_BENCH_CSV_FILE=${{ env.PARSE_INTEGER_BENCH_CSV_FILE }} \
            parse_integer_benches

      - name: Upload csv results artifact
        uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
        with:
          name: ${{ github.sha }}_csv_integer
          path: ${{ env.PARSE_INTEGER_BENCH_CSV_FILE }}

      - name: Parse results
        run: |
          python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
          --database tfhe_rs \
          --hardware "n3-H100x1" \
          --backend gpu \
          --project-version "${{ env.COMMIT_HASH }}" \
          --branch ${{ github.ref_name }} \
          --commit-date "${{ env.COMMIT_DATE }}" \
          --bench-date "${{ env.BENCH_DATE }}" \
          --walk-subdirs \
          --name-suffix avx512 \
          --throughput

      - name: Upload parsed results artifact
        uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
        with:
          name: ${{ github.sha }}_integer
          path: ${{ env.RESULTS_FILENAME }}

      - name: Checkout Slab repo
        uses: actions/checkout@eef61447b9ff4aafe5dcd4e0bbf5d482be7e7871
        with:
          repository: zama-ai/slab
          path: slab
          token: ${{ secrets.FHE_ACTIONS_TOKEN }}

      - name: Send data to Slab
        shell: bash
        run: |
          python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
          --slab-url "${{ secrets.SLAB_URL }}"

  slack-notify:
    name: Slack Notification
    needs: [ setup-instance, cuda-integer-benchmarks ]
    runs-on: ubuntu-latest
    if: ${{ always() && needs.cuda-integer-benchmarks.result != 'skipped' && failure() }}
    continue-on-error: true
    steps:
      - name: Send message
        uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
        env:
          SLACK_COLOR: ${{ needs.cuda-integer-benchmarks.result }}
          SLACK_MESSAGE: "Integer GPU benchmarks finished with status: ${{ needs.cuda-integer-benchmarks.result }}. (${{ env.ACTION_RUN_URL }})"

  teardown-instance:
    name: Teardown instance (cuda-integer-benchmarks)
    if: ${{ always() && needs.setup-instance.result != 'skipped' }}
    needs: [ setup-instance, cuda-integer-benchmarks, slack-notify ]
    runs-on: ubuntu-latest
    steps:
      - name: Stop instance
        id: stop-instance
        uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
        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-integer-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"