Super tiny add gsp-fast-prepare#14992
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Summary of ChangesHello @fzyzcjy, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request introduces a mechanism to significantly accelerate the data preparation phase for benchmarking with Generated Shared Prefix (GSP) datasets. By adding a new flag, users can opt to skip detailed tokenization and statistical computations, making it ideal for pressure tests where quick setup is prioritized over precise token metrics. Highlights
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Code Review
This pull request introduces a --gsp-fast-prepare flag to the benchmarking script. This flag is designed to accelerate the data preparation process for the generated-shared-prefix dataset by skipping expensive tokenization steps used for calculating statistics. The implementation correctly modifies the prompt length calculation and conditionally prints statistics based on this flag. The changes are logical and well-contained. I have one minor suggestion to improve code readability by reducing redundant code.
…n_eagle3_npu * 'main' of https://github.com/sgl-project/sglang: (121 commits) Super tiny add gsp-fast-prepare (sgl-project#14992) Super tiny fix confusing slash_command_handler hint (sgl-project#14976) Super tiny remove unused argument (sgl-project#14966) [registry] Add a strict mode to model registration (sgl-project#14933) Feature/Fix multi lora scheduler blocking issue and evict LoRA None lastly (sgl-project#14795) Tune triton fused moe for the case of glm-4.6-fp8 b200 tp4 (sgl-project#15020) [model-gateway] refactor: unify worker management into modular workflow structure (sgl-project#15010) Update ci permission (sgl-project#15014) Refactor of http and engine entrypoints to allow custom override (sgl-project#14869) Add KV4-capable backend flashmla and update server args (sgl-project#14989) Revert several PRs (sgl-project#14958) Super tiny extract route_typed_request_once (sgl-project#14951) Fix CI by reverting incorrect metric check logic (sgl-project#15004) [model-gateway] refactor: workflow engine cleanup and minor optimization (sgl-project#15001) [model-gateway] fix: handle workflow deadlock and optimize cycle detection (sgl-project#15000) [model-gateway] feat: add DAG parallel execution support and workflow optimization (sgl-project#14999) [model-gateway] refactor: extract workflow engine to src/workflow module (sgl-project#14996) Update CODEOWNERS for multimodal_gen (sgl-project#14995) [diffusion] docker: Tiny fix Docker Hub link in installation documentation (sgl-project#14987) [PD] Add decode PP event loop for PD disaggregation (sgl-project#14945) ... # Conflicts: # python/sglang/srt/model_executor/piecewise_cuda_graph_runner.py
Motivation
Modifications
Accuracy Tests
Benchmarking and Profiling
Checklist