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Fix bench_one_batch_server by moving the print statements#19175

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hnyls2002 merged 1 commit intosgl-project:mainfrom
Qiaolin-Yu:fix_benchmark
Feb 23, 2026
Merged

Fix bench_one_batch_server by moving the print statements#19175
hnyls2002 merged 1 commit intosgl-project:mainfrom
Qiaolin-Yu:fix_benchmark

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Motivation

Modifications

Accuracy Tests

Benchmarking and Profiling

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Summary of Changes

Hello @Qiaolin-Yu, 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 implements a minor code reorganization in an internal benchmarking script. The change involves relocating several debug print statements to a more logical position within a conditional block, ensuring that diagnostic output related to max_running_requests_per_dp and associated thresholds is displayed only when these variables have been properly initialized. This improves the clarity and context of the logging during benchmark execution.

Highlights

  • Code Reorganization: Reordered debug print statements within the run_benchmark_internal function to ensure they are executed only when the relevant variables are defined.

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Changelog
  • python/sglang/test/bench_one_batch_server_internal.py
    • Moved four print statements (for max_running_requests_per_dp, dp_size, skip_max_running_requests_threshold, and skip_token_capacity_threshold) from after the gsp_kwargs definition to inside the if block where skip_max_running_requests_threshold is calculated.
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@Qiaolin-Yu Qiaolin-Yu changed the title fix Fix bench_one_batch_server by moving the print statements Feb 23, 2026
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Code Review

The pull request correctly addresses a potential NameError in the run_benchmark_internal function when using the vllm backend. By moving the print statements for max_running_requests_per_dp and dp_size into the else block where they are defined, the code avoids attempting to access undefined variables. The logic for calculating and printing benchmark thresholds remains sound for the sglang backend. The fix is straightforward and improves the robustness of the benchmarking script. Note that providing a more descriptive pull request title and description would be beneficial for better change tracking and maintenance.

@hnyls2002 hnyls2002 merged commit 42b1019 into sgl-project:main Feb 23, 2026
77 of 100 checks passed
xiaobaicxy added a commit to xiaobaicxy/sglang that referenced this pull request Feb 24, 2026
…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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2 participants