mirror of
https://github.com/zama-ai/tfhe-rs.git
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84 lines
2.3 KiB
YAML
84 lines
2.3 KiB
YAML
# Run benchmarks on an AWS instance and return parsed results to Slab CI bot.
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name: benchmark_cpu
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on:
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workflow_dispatch:
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inputs:
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command:
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description: "Benchmark command to run"
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type: choice
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options:
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- integer
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- signed_integer
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- integer_compression
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- integer_zk
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- shortint
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- shortint_oprf
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- hlapi
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- hlapi_erc20
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- hlapi_dex
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- hlapi_noise_squash
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- tfhe_zk_pok
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- boolean
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- pbs
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- pbs128
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- ks
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- ks_pbs
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op_flavor:
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description: "Operations set to run"
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type: choice
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default: default
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options:
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- default
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- fast_default
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- smart
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- unchecked
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- misc
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all_precisions:
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description: "Run all precisions"
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type: boolean
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default: false
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bench_type:
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description: "Benchmarks type"
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type: choice
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default: latency
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options:
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- latency
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- throughput
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- both
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params_type:
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description: "Parameters type"
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type: choice
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default: classical
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options:
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- classical
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- multi_bit
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- classical + multi_bit
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- classical_documentation
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- multi_bit_documentation
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- classical_documentation + multi_bit_documentation
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permissions: {}
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# zizmor: ignore[concurrency-limits] only Zama organization members can trigger this workflow
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jobs:
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run-benchmarks:
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name: benchmark_cpu/run-benchmarks
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uses: ./.github/workflows/benchmark_cpu_common.yml
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with:
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command: ${{ inputs.command }}
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op_flavor: ${{ inputs.op_flavor }}
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bench_type: ${{ inputs.bench_type }}
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params_type: ${{ inputs.params_type }}
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all_precisions: ${{ inputs.all_precisions }}
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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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