mirror of
https://github.com/zama-ai/tfhe-rs.git
synced 2026-01-10 07:08:03 -05:00
200 lines
7.6 KiB
YAML
200 lines
7.6 KiB
YAML
# Run all integer benchmarks on an instance with CUDA and return parsed results to Slab CI bot.
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name: Integer GPU full benchmarks
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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-integer-full-benchmarks)
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runs-on: ubuntu-latest
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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@1dced74825027fe3d481392163ed8fc56813fb5d
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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: single-h100
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cuda-integer-full-benchmarks:
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name: Execute GPU integer benchmarks for all operations flavor
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needs: setup-instance
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runs-on: ${{ needs.setup-instance.outputs.runner-name }}
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timeout-minutes: 1440 # 24 hours
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continue-on-error: true
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strategy:
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fail-fast: false
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max-parallel: 1
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matrix:
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command: [integer, integer_multi_bit]
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op_flavor: [default, unchecked]
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# explicit include-based build matrix, of known valid options
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include:
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- os: ubuntu-22.04
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cuda: "12.2"
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gcc: 11
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env:
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CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
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CMAKE_VERSION: 3.29.1
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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 ca-certificates curl
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sudo install -m 0755 -d /etc/apt/keyrings
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sudo curl -fsSL https://download.docker.com/linux/ubuntu/gpg -o /etc/apt/keyrings/docker.asc
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sudo chmod a+r /etc/apt/keyrings/docker.asc
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echo \
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"deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.asc] https://download.docker.com/linux/ubuntu \
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$(. /etc/os-release && echo "$VERSION_CODENAME") stable" | \
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sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
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sudo apt update
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sudo apt install -y checkinstall zlib1g-dev libssl-dev docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin
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wget https://github.com/Kitware/CMake/releases/download/v${{ 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@44c2b7a8a4ea60a981eaca3cf939b5f4305c123b
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with:
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fetch-depth: 0
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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@d8352f6b1d2e870bc5716e7a6d9b65c4cc244a1a
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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@44c2b7a8a4ea60a981eaca3cf939b5f4305c123b
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with:
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repository: zama-ai/slab
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path: slab
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token: ${{ secrets.FHE_ACTIONS_TOKEN }}
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- name: Run benchmarks with AVX512
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run: |
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make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_${{ matrix.command }}_gpu
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- name: Parse results
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run: |
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python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
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--database tfhe_rs \
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--hardware "n3-H100x1" \
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--backend gpu \
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--project-version "${{ 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@65462800fd760344b1a7b4382951275a0abb4808
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with:
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name: ${{ github.sha }}_${{ matrix.command }}_${{ matrix.op_flavor }}
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path: ${{ env.RESULTS_FILENAME }}
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- name: Send data to Slab
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shell: bash
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run: |
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echo "Computing HMac on results file"
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SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
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echo "Sending results to Slab..."
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curl -v -k \
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-H "Content-Type: application/json" \
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-H "X-Slab-Repository: ${{ github.repository }}" \
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-H "X-Slab-Command: store_data_v2" \
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-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
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-d @${{ env.RESULTS_FILENAME }} \
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${{ secrets.SLAB_URL }}
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- name: Slack Notification
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if: ${{ !success() && !cancelled() }}
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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: "Integer GPU full benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
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teardown-instance:
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name: Teardown instance (cuda-integer-full-benchmarks)
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if: ${{ always() && needs.setup-instance.result != 'skipped' }}
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needs: [ setup-instance, cuda-integer-full-benchmarks ]
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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@1dced74825027fe3d481392163ed8fc56813fb5d
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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-integer-full-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
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