CIFAR-10 benchmark CML #53
Workflow file for this run
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| name: CIFAR-10 benchmark CML | ||
| on: | ||
| workflow_dispatch: | ||
| inputs: | ||
| git-ref: | ||
| description: Repo reference (branch, tag or SHA) | ||
| default: "main" | ||
| required: true | ||
| type: string | ||
| benchmark: | ||
| description: Benchmark to run (cifar-10-8b or cifar-10-16b) | ||
| default: "cifar-10-16b" | ||
| type: choice | ||
| options: | ||
| - "cifar-10-8b" | ||
| - "cifar-10-16b" | ||
| instance_type: | ||
| description: Instance type on which to launch benchmarks | ||
| default: "hpc7a.96xlarge" | ||
| type: choice | ||
| options: | ||
| - "m6i.metal" | ||
| - "u-6tb1.112xlarge" | ||
| - "hpc7a.96xlarge" | ||
| num_samples: | ||
| description: Number of samples to use | ||
| default: "3" | ||
| type: string | ||
| required: true | ||
| p_error: | ||
| description: P-error to use | ||
| default: "0.01" | ||
| type: string | ||
| required: true | ||
| # FIXME: Add recurrent launching | ||
| # https://github.com/zama-ai/concrete-ml-internal/issues/1851 | ||
| # Global environnement variables | ||
| env: | ||
| # Github action url (used by slack notification) | ||
| ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }} | ||
| AGENT_TOOLSDIRECTORY: /opt/hostedtoolcache | ||
| RUNNER_TOOL_CACHE: /opt/hostedtoolcache | ||
| # We need to use other settings than the CI here to be able to launch benchmarks | ||
| # on AWS Ireland that has the hpc7a (which are the fastest machines atm). | ||
| # We might clash with TFHE-rs benchmarks on hpc7a since they launch benches on all | ||
| # updates of main. | ||
| # Jobs | ||
| jobs: | ||
| setup-ec2: | ||
| name: Setup EC2 instance | ||
| runs-on: ubuntu-latest | ||
| outputs: | ||
| runner-name: ${{ steps.start-instance.outputs.label }} | ||
| instance-id: ${{ steps.start-instance.outputs.ec2-instance-id }} | ||
| steps: | ||
| - name: Start instance | ||
| id: start-instance | ||
| uses: zama-ai/slab-github-runner@ab65ad70bb9f9e9251e4915ea5612bcad23cd9b1 | ||
| with: | ||
| mode: start | ||
| github-token: ${{ secrets.SLAB_ACTION_TOKEN }} | ||
| slab-url: ${{ secrets.SLAB_BASE_URL }} | ||
| job-secret: ${{ secrets.JOB_SECRET }} | ||
| profile: cpu-big | ||
| run-cifar-10: | ||
| needs: [start-ec2] | ||
|
Check failure on line 72 in .github/workflows/cifar_benchmark.yaml
|
||
| name: Run benchmark | ||
| runs-on: ${{ needs.setup-ec2.outputs.runner-name }} | ||
| env: | ||
| PIP_INDEX_URL: ${{ secrets.PIP_INDEX_URL }} | ||
| PIP_EXTRA_INDEX_URL: ${{ secrets.PIP_EXTRA_INDEX_URL }} | ||
| steps: | ||
| - name: Add masks | ||
| run: | | ||
| echo "::add-mask::${{ secrets.INTERNAL_PYPI_URL_FOR_MASK }}" | ||
| echo "::add-mask::${{ secrets.INTERNAL_REPO_URL_FOR_MASK }}" | ||
| echo "::add-mask::${{ secrets.INTERNAL_PYPI_URL }}" | ||
| echo "::add-mask::${{ secrets.INTERNAL_REPO_URL }}" | ||
| - name: Checkout code | ||
| uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 | ||
| with: | ||
| lfs: true | ||
| ref: ${{ github.event.inputs.git-ref }} | ||
| - name: Set up Python | ||
| uses: actions/setup-python@0a5c61591373683505ea898e09a3ea4f39ef2b9c | ||
| with: | ||
| python-version: "3.8" | ||
| - name: Install dependencies | ||
| id: install-deps | ||
| run: | | ||
| apt update | ||
| apt install --no-install-recommends -y gnome-keyring | ||
| apt install -y graphviz* graphviz-dev libgraphviz-dev pkg-config python3-dev | ||
| apt-mark hold docker.io | ||
| ./script/make_utils/setup_os_deps.sh | ||
| make setup_env | ||
| # CIFAR-10-8b benchmark | ||
| - name: Benchmark - CIFAR-10-8b | ||
| if: github.event.inputs.benchmark == 'cifar-10-8b' | ||
| run: | | ||
| source .venv/bin/activate | ||
| NUM_SAMPLES=${{ github.event.inputs.num_samples }} python3 ./use_case_examples/cifar/cifar_brevitas_with_model_splitting/infer_fhe.py | ||
| python3 ./benchmarks/convert_cifar.py --model-name "8-bit-split-v0" | ||
| # CIFAR-10-16b benchmark | ||
| - name: Benchmark - CIFAR-10-16b | ||
| if: github.event.inputs.benchmark == 'cifar-10-16b' | ||
| run: | | ||
| source .venv/bin/activate | ||
| NUM_SAMPLES=${{ github.event.inputs.num_samples }} P_ERROR=${{ github.event.inputs.p_error }} python3 ./use_case_examples/cifar/cifar_brevitas_training/evaluate_one_example_fhe.py | ||
| python3 ./benchmarks/convert_cifar.py --model-name "16-bits-trained-v0" | ||
| - name: Archive raw predictions | ||
| uses: actions/[email protected] | ||
| with: | ||
| name: predictions.csv | ||
| path: inference_results.csv | ||
| - name: Archive metrics | ||
| uses: actions/[email protected] | ||
| with: | ||
| name: metrics.json | ||
| path: to_upload.json | ||
| - name: Archive MLIR | ||
| uses: actions/[email protected] | ||
| with: | ||
| name: mlir.txt | ||
| path: cifar10.mlir | ||
| - name: Archive Graph | ||
| uses: actions/[email protected] | ||
| with: | ||
| name: graph.txt | ||
| path: cifar10.graph | ||
| - name: Archive client | ||
| uses: actions/[email protected] | ||
| with: | ||
| name: client.zip | ||
| path: client_server/client.zip | ||
| - name: Archive server | ||
| uses: actions/[email protected] | ||
| with: | ||
| name: server.zip | ||
| path: client_server/server.zip | ||
| # We need to keep this as the last step to avoid not uploading the artifacts | ||
| # if the step crashes | ||
| - name: Upload results | ||
| id: upload-results | ||
| run: | | ||
| # Log the json | ||
| cat to_upload.json | jq | ||
| # We need to sleep to avoid log issues | ||
| sleep 1. | ||
| # Upload the json to the benchmark database | ||
| curl --fail-with-body \ | ||
| -H "Authorization: Bearer ${{ secrets.NEW_ML_PROGRESS_TRACKER_TOKEN }}" \ | ||
| -H "Content-Type: application/json; charset=UTF-8" \ | ||
| -d @to_upload.json \ | ||
| -X POST "${{ secrets.NEW_ML_PROGRESS_TRACKER_URL }}experiment" | ||
| teardown-ec2: | ||
| name: Teardown EC2 instance (fast-tests) | ||
| if: ${{ always() }} | ||
| needs: [ setup-ec2, run-cifar-10 ] | ||
| runs-on: ubuntu-latest | ||
| steps: | ||
| - name: Stop instance | ||
| id: stop-instance | ||
| uses: zama-ai/slab-github-runner@ab65ad70bb9f9e9251e4915ea5612bcad23cd9b1 | ||
| with: | ||
| mode: stop | ||
| github-token: ${{ secrets.SLAB_ACTION_TOKEN }} | ||
| slab-url: ${{ secrets.SLAB_BASE_URL }} | ||
| job-secret: ${{ secrets.JOB_SECRET }} | ||
| profile: cpu-big | ||
| label: ${{ needs.setup-ec2.outputs.runner-name }} | ||
| slack-notification: | ||
| runs-on: ubuntu-20.04 | ||
| needs: [run-cifar-10] | ||
| steps: | ||
| - name: Slack Notification | ||
| if: ${{ always() }} | ||
| continue-on-error: true | ||
| uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8 | ||
| env: | ||
| SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }} | ||
| SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png | ||
| SLACK_COLOR: ${{ needs.run-cifar-10.result }} | ||
| SLACK_MESSAGE: "Benchmark action: ${{ github.event.inputs.benchmark }} (${{ env.ACTION_RUN_URL }}) ended with result: ${{ needs.run-cifar-10.result }}" | ||
| SLACK_USERNAME: ${{ secrets.BOT_USERNAME }} | ||
| SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }} | ||
