[CI] Tiny enhance the dp attention load blance benchmark#19194
[CI] Tiny enhance the dp attention load blance benchmark#19194
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Summary of ChangesHello @hnyls2002, 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 enhances the distributed attention load balance benchmark by integrating a new serving test. The primary goal is to evaluate performance under high concurrency, specifically with Highlights
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/rerun-stage stage-c-test-8-gpu-h20 |
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This pull request enhances the DP attention benchmark by adding a new serving test with max_concurrency=256. The changes are logical and well-implemented. My only suggestion is to strengthen an assertion in the new test to ensure all benchmark requests complete successfully, which will make the test more robust at catching potential regressions. Additionally, there is a minor typo in the PR title ('blance' should be 'balance').
test/registered/distributed/test_disaggregation_dp_attention.py
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/rerun-stage stage-c-test-8-gpu-h20 |
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…o xverse_moe * 'xverse_moe' of https://github.com/xiaobaicxy/sglang: (275 commits) fix: add missing blank line after docstring in serving_transcription.py (sgl-project#19206) Whisper model support & `/v1/audio/transcriptions` endpoint & benchmark (sgl-project#16983) fix: patch docker image fixes (sgl-project#19100) [PD-Disagg] Unify prefill info data transition flow, all with `PrefillServerInfo` (sgl-project#19195) [CI] Tiny enhance the dp attention load blance benchmark (sgl-project#19194) add new ci user (sgl-project#19133) [CI] fix the teardown output of disaggregation test (sgl-project#19193) [PD-Disagg] Support query dp rank from bootstrap server. (sgl-project#19168) [Kernel Slimming] Migrate AWQ marlin repack kernel to JIT (sgl-project#18949) [Diffusion] Match rotary_embedding module name style (sgl-project#19179) [Refactor] Split rotary_embedding.py into a modular package (sgl-project#19144) [NPU] bump sgl-kernel-npu to 2026.02.01.post2 (sgl-project#19178) Use single mma warp group for short q_len in FA to optimize decoding performance (sgl-project#18985) Reorganize topk logic to clean up code and expose logical experts (sgl-project#16945) [ROCm] Use unreg path for custom all-reduce during CUDA graph capture (sgl-project#19162) [diffusion] feat: detect Flux2 custom VAE path from component_paths (sgl-project#19170) [AMD] ENV flags tuning and cleanup (sgl-project#19176) Fix bench_one_batch_server by moving the print statements (sgl-project#19175) Update rocm7.2 Dockerfile to install amdsmi for QuickReduce Initialization (sgl-project#19091) Revert "Refactor graph input buffers (sgl-project#18991)" (sgl-project#19173) ...
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This PR adds a bench serving test with
max-concurrency=256and should add balancedness metrics in the next PRs.