mirror of
https://github.com/zama-ai/tfhe-rs.git
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9918dacd6a
The term "bpr" means Branch Protection Rule. It helps one to identify any job that must pass before being able to merge to the base branch.
115 lines
4.2 KiB
YAML
115 lines
4.2 KiB
YAML
# Run CUDA benchmarks on multiple Hyperstack VMs and return parsed results to Slab CI bot.
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name: benchmark_gpu_weekly
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on:
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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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permissions: {}
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jobs:
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run-benchmarks-8-h100-sxm5-integer:
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name: benchmark_gpu_weekly/run-benchmarks-8-h100-sxm5-integer
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if: github.repository == 'zama-ai/tfhe-rs'
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uses: ./.github/workflows/benchmark_gpu_common.yml
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with:
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profile: multi-h100-sxm5
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hardware_name: n3-H100x8-SXM5
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command: integer_multi_bit
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op_flavor: default
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bench_type: both
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all_precisions: true
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secrets:
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BOT_USERNAME: ${{ secrets.BOT_USERNAME }}
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SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
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SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
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REPO_CHECKOUT_TOKEN: ${{ secrets.REPO_CHECKOUT_TOKEN }}
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JOB_SECRET: ${{ secrets.JOB_SECRET }}
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SLAB_ACTION_TOKEN: ${{ secrets.SLAB_ACTION_TOKEN }}
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SLAB_URL: ${{ secrets.SLAB_URL }}
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SLAB_BASE_URL: ${{ secrets.SLAB_BASE_URL }}
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run-benchmarks-8-h100-sxm5-integer-compression:
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name: benchmark_gpu_weekly/run-benchmarks-8-h100-sxm5-integer-compression
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if: github.repository == 'zama-ai/tfhe-rs'
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uses: ./.github/workflows/benchmark_gpu_common.yml
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with:
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profile: multi-h100-sxm5
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hardware_name: n3-H100x8-SXM5
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command: integer_compression
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op_flavor: default
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bench_type: both
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all_precisions: true
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secrets:
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BOT_USERNAME: ${{ secrets.BOT_USERNAME }}
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SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
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SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
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REPO_CHECKOUT_TOKEN: ${{ secrets.REPO_CHECKOUT_TOKEN }}
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JOB_SECRET: ${{ secrets.JOB_SECRET }}
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SLAB_ACTION_TOKEN: ${{ secrets.SLAB_ACTION_TOKEN }}
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SLAB_URL: ${{ secrets.SLAB_URL }}
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SLAB_BASE_URL: ${{ secrets.SLAB_BASE_URL }}
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run-benchmarks-8-h100-sxm5-integer-zk:
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name: benchmark_gpu_weekly/run-benchmarks-8-h100-sxm5-integer-zk
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if: github.repository == 'zama-ai/tfhe-rs'
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uses: ./.github/workflows/benchmark_gpu_common.yml
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with:
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profile: multi-h100-sxm5
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hardware_name: n3-H100x8-SXM5
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command: integer_zk
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op_flavor: default
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bench_type: both
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all_precisions: true
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secrets:
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BOT_USERNAME: ${{ secrets.BOT_USERNAME }}
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SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
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SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
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REPO_CHECKOUT_TOKEN: ${{ secrets.REPO_CHECKOUT_TOKEN }}
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JOB_SECRET: ${{ secrets.JOB_SECRET }}
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SLAB_ACTION_TOKEN: ${{ secrets.SLAB_ACTION_TOKEN }}
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SLAB_URL: ${{ secrets.SLAB_URL }}
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SLAB_BASE_URL: ${{ secrets.SLAB_BASE_URL }}
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run-benchmarks-8-h100-sxm5-noise-squash:
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name: benchmark_gpu_weekly/run-benchmarks-8-h100-sxm5-noise-squash
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if: github.repository == 'zama-ai/tfhe-rs'
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uses: ./.github/workflows/benchmark_gpu_common.yml
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with:
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profile: multi-h100-sxm5
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hardware_name: n3-H100x8-SXM5
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command: hlapi_noise_squash
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op_flavor: default
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bench_type: both
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all_precisions: true
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secrets:
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BOT_USERNAME: ${{ secrets.BOT_USERNAME }}
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SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
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SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
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REPO_CHECKOUT_TOKEN: ${{ secrets.REPO_CHECKOUT_TOKEN }}
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JOB_SECRET: ${{ secrets.JOB_SECRET }}
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SLAB_ACTION_TOKEN: ${{ secrets.SLAB_ACTION_TOKEN }}
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SLAB_URL: ${{ secrets.SLAB_URL }}
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SLAB_BASE_URL: ${{ secrets.SLAB_BASE_URL }}
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run-benchmarks-1-h100-core-crypto:
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name: benchmark_gpu_weekly/run-benchmarks-1-h100-core-crypto (1xH100)
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if: github.repository == 'zama-ai/tfhe-rs'
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uses: ./.github/workflows/benchmark_gpu_common.yml
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with:
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profile: single-h100
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hardware_name: n3-H100x1
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command: pbs,pbs128,ks,ks_pbs
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bench_type: latency
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secrets:
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BOT_USERNAME: ${{ secrets.BOT_USERNAME }}
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SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
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SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
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REPO_CHECKOUT_TOKEN: ${{ secrets.REPO_CHECKOUT_TOKEN }}
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JOB_SECRET: ${{ secrets.JOB_SECRET }}
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SLAB_ACTION_TOKEN: ${{ secrets.SLAB_ACTION_TOKEN }}
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SLAB_URL: ${{ secrets.SLAB_URL }}
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SLAB_BASE_URL: ${{ secrets.SLAB_BASE_URL }}
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