tfhe-zk-pok benchmarks #40
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# Run 64-bit multi-bit integer benchmarks on an instance with CUDA and return parsed results to Slab CI bot. | |
name: AWS p5 integer multi GPU Multi-bit benchmarks | |
on: | |
workflow_dispatch: | |
inputs: | |
all_precisions: | |
description: "Run all precisions" | |
type: boolean | |
default: false | |
fast_default: | |
description: "Run only deduplicated default operations without scalar variants" | |
type: boolean | |
default: false | |
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 | |
BENCH_OP_FLAVOR: default | |
jobs: | |
setup-instance: | |
name: Setup instance (cuda-integer-multi-bit-multi-gpu-p5-benchmarks) | |
runs-on: ubuntu-latest | |
if: ${{ (github.event_name == 'push' && github.repository == 'zama-ai/tfhe-rs') || github.event_name == 'workflow_dispatch' }} | |
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-h100-nvlink | |
cuda-integer-multi-bit-multi-gpu-p5-benchmarks: | |
name: Execute multi GPU P5 integer multi-bit benchmarks | |
needs: setup-instance | |
runs-on: ${{ needs.setup-instance.outputs.runner-name }} | |
timeout-minutes: 1440 # 24 hours | |
continue-on-error: true | |
strategy: | |
fail-fast: false | |
max-parallel: 1 | |
matrix: | |
include: | |
- os: ubuntu-22.04 | |
cuda: "12.2" | |
gcc: 11 | |
env: | |
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }} | |
steps: | |
- name: Install dependencies | |
run: | | |
sudo apt update | |
sudo apt install -y checkinstall zlib1g-dev libssl-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"$(nproc)" | |
sudo make install | |
- name: Checkout tfhe-rs repo with tags | |
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 | |
with: | |
fetch-depth: 0 | |
- name: Get benchmark details | |
run: | | |
{ | |
echo "BENCH_DATE=$(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@21dc36fb71dd22e3317045c0c31a3f4249868b17 | |
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: Checkout Slab repo | |
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332 | |
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: Should run fast subset benchmarks | |
if: inputs.fast_default | |
run: | | |
echo "BENCH_OP_FLAVOR=fast_default" >> "${GITHUB_ENV}" | |
- name: Run multi-bit benchmarks with AVX512 | |
run: | | |
make bench_unsigned_integer_multi_bit_gpu | |
- name: Parse results | |
run: | | |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \ | |
--database tfhe_rs \ | |
--hardware "p5.48xlarge" \ | |
--backend gpu \ | |
--project-version "${{ 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@0b2256b8c012f0828dc542b3febcab082c67f72b | |
with: | |
name: ${{ github.sha }}_integer | |
path: ${{ env.RESULTS_FILENAME }} | |
- name: Send data to Slab | |
shell: bash | |
run: | | |
echo "Computing HMac on results file" | |
SIGNATURE="$(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: ${{ github.repository }}" \ | |
-H "X-Slab-Command: store_data_v2" \ | |
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \ | |
-d @${{ env.RESULTS_FILENAME }} \ | |
${{ secrets.SLAB_URL }} | |
slack-notify: | |
name: Slack Notification | |
needs: [ setup-instance, cuda-integer-multi-bit-multi-gpu-p5-benchmarks ] | |
runs-on: ubuntu-latest | |
if: ${{ !success() && !cancelled() }} | |
continue-on-error: true | |
steps: | |
- name: Send message | |
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907 | |
env: | |
SLACK_COLOR: ${{ needs.cuda-integer-multi-bit-multi-gpu-p5-benchmarks.result }} | |
SLACK_MESSAGE: "Integer multi GPU multi-bit benchmarks finished with status: ${{ needs.cuda-integer-multi-bit-multi-gpu-p5-benchmarks.result }}. (${{ env.ACTION_RUN_URL }})" | |
teardown-instance: | |
name: Teardown instance (cuda-integer-multi-bit-multi-gpu-p5-benchmarks) | |
if: ${{ always() && needs.setup-instance.result != 'skipped' }} | |
needs: [ setup-instance, cuda-integer-multi-bit-multi-gpu-p5-benchmarks ] | |
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-integer-multi-bit-multi-gpu-p5-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})" |