# Run one of the ML benchmarks on an AWS instance and return parsed results to Slab CI bot. name: Application benchmarks on: workflow_dispatch: inputs: instance_id: description: 'Instance ID' type: string instance_image_id: description: 'Instance AMI ID' type: string instance_type: description: 'Instance product type' type: string runner_name: description: 'Action runner name' type: string request_id: description: 'Slab request ID' type: string matrix_item: description: 'Build matrix item' type: string env: CARGO_TERM_COLOR: always RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json jobs: run-ml-benchmarks: name: Execute ML benchmarks subset in EC2 runs-on: ${{ github.event.inputs.runner_name }} if: ${{ !cancelled() }} steps: - name: Instance configuration used run: | echo "IDs: ${{ inputs.instance_id }}" echo "AMI: ${{ inputs.instance_image_id }}" echo "Type: ${{ inputs.instance_type }}" echo "Request ID: ${{ inputs.request_id }}" echo "Matrix item: ${{ inputs.matrix_item }}" - name: Get benchmark date run: | echo "BENCH_DATE=$(date --iso-8601=seconds)" >> "${GITHUB_ENV}" # SSH private key is required as some dependencies are from private repos - uses: webfactory/ssh-agent@v0.5.2 with: ssh-private-key: ${{ secrets.CONCRETE_COMPILER_CI_SSH_PRIVATE }} - name: Fetch submodules uses: actions/checkout@v3 with: fetch-depth: 0 submodules: recursive token: ${{ secrets.GH_TOKEN }} - name: Set up home # "Install rust" step require root user to have a HOME directory which is not set. run: | echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}" - name: Install rust uses: actions-rs/toolchain@v1 with: toolchain: stable override: true - name: Build compiler and ML benchmarks run: | set -e cd compiler make BINDINGS_PYTHON_ENABLED=OFF build-mlbench - name: Download KeySetCache if: ${{ !contains(github.head_ref, 'newkeysetcache') }} continue-on-error: true run: | cd compiler GITHUB_TOKEN=${{ secrets.GITHUB_TOKEN }} make keysetcache_ci_populated - name: Run ML benchmarks run: | set -e cd compiler make BINDINGS_PYTHON_ENABLED=OFF ML_BENCH_SUBSET_ID=${{ inputs.matrix_item }} run-mlbench-subset - name: Upload raw results artifact uses: actions/upload-artifact@v3 with: name: ${{ github.sha }}_raw path: compiler/benchmarks_results.json - name: Parse results shell: bash run: | COMMIT_DATE="$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})" COMMIT_HASH="$(git describe --tags --dirty)" python3 ./ci/benchmark_parser.py compiler/benchmarks_results.json ${{ env.RESULTS_FILENAME }} \ --database compiler_benchmarks \ --hardware ${{ inputs.instance_type }} \ --project-version ${COMMIT_HASH} \ --branch ${{ github.ref_name }} \ --commit-date ${COMMIT_DATE} \ --bench-date "${{ env.BENCH_DATE }}" - name: Upload parsed results artifact uses: actions/upload-artifact@v3 with: name: ${{ github.sha }} path: ${{ env.RESULTS_FILENAME }} - name: Checkout Slab repo uses: actions/checkout@v3 with: repository: zama-ai/slab path: slab token: ${{ secrets.GH_TOKEN }} - name: Send data to Slab shell: bash run: | echo "Computing HMac on downloaded artifact" SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')" echo "Sending results to Slab..." curl -v -k \ -H "Content-Type: application/json" \ -H "X-Slab-Repository: ${{ github.repository }}" \ -H "X-Slab-Command: store_data" \ -H "X-Hub-Signature-256: sha256=${SIGNATURE}" \ -d @${{ env.RESULTS_FILENAME }} \ ${{ secrets.SLAB_URL }}