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https://github.com/zama-ai/tfhe-rs.git
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chore(gpu): add bench workflow on L40
This commit is contained in:
Agnes Leroy
206
.github/workflows/benchmark_gpu_l40.yml
vendored
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206
.github/workflows/benchmark_gpu_l40.yml
vendored
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@@ -0,0 +1,206 @@
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# Run benchmarks on an L40 VM and return parsed results to Slab CI bot.
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name: Cuda benchmarks (L40)
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on:
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workflow_dispatch:
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schedule:
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# Weekly benchmarks will be triggered each Saturday at 1a.m.
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- cron: '0 1 * * 6'
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env:
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CARGO_TERM_COLOR: always
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RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
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ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
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RUST_BACKTRACE: "full"
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RUST_MIN_STACK: "8388608"
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SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
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SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
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SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
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SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
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jobs:
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setup-instance:
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name: Setup instance (cuda-l40-benchmarks)
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runs-on: ubuntu-latest
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if: github.event_name != 'schedule' ||
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(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
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outputs:
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runner-name: ${{ steps.start-instance.outputs.label }}
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steps:
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- name: Start instance
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id: start-instance
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uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
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with:
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mode: start
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github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
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slab-url: ${{ secrets.SLAB_BASE_URL }}
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job-secret: ${{ secrets.JOB_SECRET }}
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backend: hyperstack
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profile: l40
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cuda-l40-benchmarks:
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name: Cuda benchmarks (L40)
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needs: setup-instance
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runs-on: ${{ needs.setup-instance.outputs.runner-name }}
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timeout-minutes: 1440 # 24 hours
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continue-on-error: true
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strategy:
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fail-fast: false
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max-parallel: 1
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matrix:
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command: [integer_multi_bit]
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op_flavor: [default]
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# explicit include-based build matrix, of known valid options
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include:
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- os: ubuntu-22.04
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cuda: "12.2"
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gcc: 11
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env:
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CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
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CMAKE_VERSION: 3.29.6
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steps:
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# Mandatory on hyperstack since a bootable volume is not re-usable yet.
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- name: Install dependencies
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run: |
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sudo apt update
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sudo apt install -y checkinstall zlib1g-dev libssl-dev
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wget https://github.com/Kitware/CMake/releases/download/v${{ env.CMAKE_VERSION }}/cmake-${{ env.CMAKE_VERSION }}.tar.gz
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tar -zxvf cmake-${{ env.CMAKE_VERSION }}.tar.gz
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cd cmake-${{ env.CMAKE_VERSION }}
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./bootstrap
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make -j"$(nproc)"
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sudo make install
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- name: Checkout tfhe-rs repo with tags
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uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
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with:
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fetch-depth: 0
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token: ${{ secrets.FHE_ACTIONS_TOKEN }}
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- name: Get benchmark details
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run: |
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{
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echo "BENCH_DATE=$(date --iso-8601=seconds)";
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echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
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echo "COMMIT_HASH=$(git describe --tags --dirty)";
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} >> "${GITHUB_ENV}"
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- name: Set up home
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# "Install rust" step require root user to have a HOME directory which is not set.
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run: |
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echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
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- name: Install rust
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uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
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with:
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toolchain: nightly
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- name: Export CUDA variables
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if: ${{ !cancelled() }}
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run: |
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{
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echo "CUDA_PATH=$CUDA_PATH";
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echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH";
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echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc";
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} >> "${GITHUB_ENV}"
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echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
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# Specify the correct host compilers
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- name: Export gcc and g++ variables
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if: ${{ !cancelled() }}
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run: |
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{
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echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
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echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
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echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
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} >> "${GITHUB_ENV}"
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- name: Checkout Slab repo
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uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
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with:
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repository: zama-ai/slab
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path: slab
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token: ${{ secrets.FHE_ACTIONS_TOKEN }}
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- name: Check device is detected
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if: ${{ !cancelled() }}
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run: nvidia-smi
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- name: Run benchmarks with AVX512
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run: |
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make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_${{ matrix.command }}_gpu
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- name: Run compression benchmarks with AVX512
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run: |
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make bench_integer_compression_gpu
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- name: Run PBS benchmarks
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run: |
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make bench_pbs_gpu
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- name: Run KS benchmarks
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run: |
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make bench_ks_gpu
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- name: Parse results
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run: |
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python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
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--database tfhe_rs \
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--hardware "L40x1" \
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--backend gpu \
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--project-version "${{ env.COMMIT_HASH }}" \
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--branch ${{ github.ref_name }} \
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--commit-date "${{ env.COMMIT_DATE }}" \
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--bench-date "${{ env.BENCH_DATE }}" \
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--walk-subdirs \
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--name-suffix avx512 \
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--throughput
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- name: Upload parsed results artifact
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uses: actions/upload-artifact@50769540e7f4bd5e21e526ee35c689e35e0d6874
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with:
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name: ${{ github.sha }}_${{ matrix.command }}_${{ matrix.op_flavor }}
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path: ${{ env.RESULTS_FILENAME }}
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- name: Send data to Slab
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shell: bash
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run: |
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python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
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--slab-url "${{ secrets.SLAB_URL }}"
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slack-notify:
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name: Slack Notification
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needs: [ setup-instance, cuda-l40-benchmarks ]
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runs-on: ubuntu-latest
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if: ${{ always() && needs.cuda-l40-benchmarks.result != 'skipped' && failure() }}
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continue-on-error: true
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steps:
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- name: Send message
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uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
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env:
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SLACK_COLOR: ${{ needs.cuda-l40-benchmarks.result }}
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SLACK_MESSAGE: "Cuda benchmarks (L40) finished with status: ${{ needs.cuda-l40-benchmarks.result }}. (${{ env.ACTION_RUN_URL }})"
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teardown-instance:
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name: Teardown instance (cuda-l40-benchmarks)
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if: ${{ always() && needs.setup-instance.result != 'skipped' }}
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needs: [ setup-instance, cuda-l40-benchmarks, slack-notify ]
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runs-on: ubuntu-latest
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steps:
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- name: Stop instance
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id: stop-instance
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uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
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with:
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mode: stop
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github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
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slab-url: ${{ secrets.SLAB_BASE_URL }}
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job-secret: ${{ secrets.JOB_SECRET }}
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label: ${{ needs.setup-instance.outputs.runner-name }}
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- name: Slack Notification
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if: ${{ failure() }}
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continue-on-error: true
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uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
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env:
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SLACK_COLOR: ${{ job.status }}
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SLACK_MESSAGE: "Instance teardown (cuda-l40-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
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@@ -10,5 +10,6 @@
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"n3-H100x8-NVLink": 22.6,
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"n3-H100x8": 22.016,
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"n3-H100x4": 11.008,
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"n3-H100x2": 5.504
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"n3-H100x2": 5.504,
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"n3-L40x1": 0.80
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}
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@@ -59,3 +59,8 @@ flavor_name = "n3-A100x8-NVLink"
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environment_name = "canada"
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image_name = "Ubuntu Server 22.04 LTS R535 CUDA 12.2"
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flavor_name = "n3-RTX-A6000x4"
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[backend.hyperstack.l40]
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environment_name = "canada"
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image_name = "Ubuntu Server 22.04 LTS R535 CUDA 12.2"
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flavor_name = "n3-L40x1"
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