[TRTLLM-13694][infra] Add benchmark refresh mappings - #17317
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Signed-off-by: Maxim Gluhovskoi <mgluhovskoi@nvidia.com>
Signed-off-by: Maxim Gluhovskoi <mgluhovskoi@nvidia.com>
Signed-off-by: Maxim Gluhovskoi <mgluhovskoi@nvidia.com>
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WalkthroughAdds a version 2 benchmark refresh mapping configuration. The configuration defines output defaults, B200/H200 mappings, and refresh targets for DeepSeek-R1 FP4/FP8 and GPT-OSS-120B FP4. ChangesBenchmark refresh configuration
Estimated code review effort: 2 (Simple) | ~10 minutes Suggested reviewers: 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
✨ Finishing Touches🧪 Generate unit tests (beta)
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Description
Add a repository-owned mapping file that defines which model, GPU, and precision groups may be refreshed from the latest validated benchmark data.
The file groups repeated accelerator translations and target path rules into shared defaults, so adding a model normally requires only its source model and precision, public target model and architecture, and GPU list. It also documents how generated recipes are stored, how to add or remove models and GPUs, and how to override the defaults when necessary.
Artifact logs are discovered automatically from each record's runtime dimensions. An optional
artifact_log.match_tokensoverride is available only when multiple complete logs remain ambiguous.Test Coverage
examples/configs/database/lookup.yaml.PR Checklist
Dev Engineer Review
lookup.yaml.QA Engineer Review
No test changes.