benchmark_integer.yml

# Run all integer benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: Integer benchmarks

on:
  workflow_dispatch:
    inputs:
      all_precisions:
        description: "Run all precisions"
        type: boolean
        default: false
      bench_type:
        description: "Benchmarks type"
        type: choice
        default: latency
        options:
          - latency
          - throughput
          - both

  schedule:
    # Weekly benchmarks will be triggered each Saturday at 1a.m.
    - cron: '0 1 * * 6'
    # Quarterly benchmarks will be triggered right before end of quarter, the 25th of the current month at 4a.m.
    # These benchmarks are far longer to execute hence the reason to run them only four time a year.
    - cron: '0 4 25 MAR,JUN,SEP,DEC *'

env:
  CARGO_TERM_COLOR: always
  RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
  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 }}
  FAST_BENCH: TRUE

jobs:
  prepare-matrix:
    name: Prepare operations matrix
    runs-on: ubuntu-latest
    if: github.event_name != 'schedule' ||
      (github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
    outputs:
      op_flavor: ${{ steps.set_op_flavor.outputs.op_flavor }}
      bench_type: ${{ steps.set_bench_type.outputs.bench_type }}
    steps:
      - name: Weekly benchmarks
        if: github.event.schedule == '0 1 * * 6'
        run: |
          echo "OP_FLAVOR=[\"default\"]" >> "${GITHUB_ENV}"

      - name: Quarterly benchmarks
        if: github.event.schedule == '0 4 25 MAR,JUN,SEP,DEC *'
        run: |
          echo "OP_FLAVOR=[\"default\", \"smart\", \"unchecked\", \"misc\"]" >> "${GITHUB_ENV}"

      - name: Set benchmark types
        if: github.event_name == 'workflow_dispatch'
        run: |
          echo "OP_FLAVOR=[\"default\"]" >> "${GITHUB_ENV}"
          if [[ "${{ inputs.bench_type }}" == "both" ]]; then
            echo "BENCH_TYPE=[\"latency\", \"throughput\"]" >> "${GITHUB_ENV}"
          else
            echo "BENCH_TYPE=[\"${{ inputs.bench_type }}\"]" >> "${GITHUB_ENV}"
          fi

      - name: Default benchmark type
        if: github.event_name != 'workflow_dispatch'
        run: |
          echo "BENCH_TYPE=[\"latency\"]" >> "${GITHUB_ENV}"

      - name: Set operation flavor output
        id: set_op_flavor
        run: |
          echo "op_flavor=${{ toJSON(env.OP_FLAVOR) }}" >> "${GITHUB_OUTPUT}"

      - name: Set benchmark types output
        id: set_bench_type
        run: |
          echo "bench_type=${{ toJSON(env.BENCH_TYPE) }}" >> "${GITHUB_OUTPUT}"

  setup-instance:
    name: Setup instance (integer-benchmarks)
    needs: prepare-matrix
    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@79939325c3c429837c10d6041e4fd8589d328bac
        with:
          mode: start
          github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
          slab-url: ${{ secrets.SLAB_BASE_URL }}
          job-secret: ${{ secrets.JOB_SECRET }}
          backend: aws
          profile: bench

  integer-benchmarks:
    name: Execute integer benchmarks for all operations flavor
    needs: [ prepare-matrix, setup-instance ]
    runs-on: ${{ needs.setup-instance.outputs.runner-name }}
    concurrency:
      group: ${{ github.workflow }}_${{ github.ref }}
      cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
    continue-on-error: true
    timeout-minutes: 1440  # 24 hours
    strategy:
      max-parallel: 1
      matrix:
        command: [ integer, integer_multi_bit]
        op_flavor: ${{ fromJson(needs.prepare-matrix.outputs.op_flavor) }}
        bench_type: ${{ fromJSON(needs.prepare-matrix.outputs.bench_type) }}
    steps:
      - name: Checkout tfhe-rs repo with tags
        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
        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: Install rust
        uses: dtolnay/rust-toolchain@a54c7afa936fefeb4456b2dd8068152669aa8203
        with:
          toolchain: nightly

      - name: Checkout Slab repo
        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
        with:
          repository: zama-ai/slab
          path: slab
          token: ${{ secrets.FHE_ACTIONS_TOKEN }}

      - name: Should run benchmarks with all precisions
        if: inputs.all_precisions
        run: |
          echo "FAST_BENCH=FALSE" >> "${GITHUB_ENV}"

      - name: Run benchmarks with AVX512
        run: |
          make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} BENCH_TYPE=${{ matrix.bench_type }} bench_${{ matrix.command }}

      # Run these benchmarks only once per benchmark type
      - name: Run compression benchmarks with AVX512
        if: matrix.op_flavor == 'default' && matrix.command == 'integer'
        run: |
          make BENCH_TYPE=${{ matrix.bench_type }} bench_integer_compression

      - name: Parse results
        run: |
          python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
          --database tfhe_rs \
          --hardware "hpc7a.96xlarge" \
          --project-version "${{ env.COMMIT_HASH }}" \
          --branch ${{ github.ref_name }} \
          --commit-date "${{ env.COMMIT_DATE }}" \
          --bench-date "${{ env.BENCH_DATE }}" \
          --walk-subdirs \
          --name-suffix avx512 \
          --bench-type ${{ matrix.bench_type }}

      - name: Upload parsed results artifact
        uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
        with:
          name: ${{ github.sha }}_${{ matrix.command }}_${{ matrix.op_flavor }}_${{ matrix.bench_type }}
          path: ${{ env.RESULTS_FILENAME }}

      - 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 }}"

      - name: Slack Notification
        if: ${{ failure() }}
        continue-on-error: true
        uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
        env:
          SLACK_COLOR: ${{ job.status }}
          SLACK_MESSAGE: "Integer full benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

  teardown-instance:
    name: Teardown instance (integer-benchmarks)
    if: ${{ always() && needs.setup-instance.result != 'skipped' }}
    needs: [ setup-instance, integer-benchmarks ]
    runs-on: ubuntu-latest
    steps:
      - name: Stop instance
        id: stop-instance
        uses: zama-ai/slab-github-runner@79939325c3c429837c10d6041e4fd8589d328bac
        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@c33737706dea87cd7784c687dadc9adf1be59990
        env:
          SLACK_COLOR: ${{ job.status }}
          SLACK_MESSAGE: "Instance teardown (integer-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"