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[AMD] Improve openai/gpt-oss performance#21020

Merged
merrymercy merged 5 commits intosgl-project:mainfrom
HaiShaw:optimize-schedule
Mar 21, 2026
Merged

[AMD] Improve openai/gpt-oss performance#21020
merrymercy merged 5 commits intosgl-project:mainfrom
HaiShaw:optimize-schedule

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@kkHuang-amd
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@kkHuang-amd kkHuang-amd commented Mar 20, 2026

Motivation

Check the torch trace, found some blocking call (gpu memory -> cpu memory) to block host side to dispatch workload to GPU, lead some bubble of GPU run between steps.
Non-optimzed
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optimzed
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Modifications

Original call forward_batch.seq_lens.max().item()
Change call forward_batch.seq_lens_cpu.max().item()

Original call forward_batch.extend_seq_lens.max().item()
Change call max(forward_batch.extend_seq_lens_cpu)

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Benchmarking and Profiling

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Summary of Changes

Hello, 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 significantly improves the performance of the openai/gpt-oss model by optimizing how sequence length metadata is handled. The changes focus on reducing unnecessary GPU-to-CPU data transfers, which were identified as a source of performance bubbles. By performing maximum length calculations on CPU tensors and passing CPU-resident data directly, the host side can dispatch workloads to the GPU more efficiently, leading to a smoother execution flow and better overall throughput.

Highlights

  • Performance Optimization: Addressed performance bottlenecks caused by blocking GPU-to-CPU memory transfers, specifically identified through torch trace analysis, to reduce GPU idle time between steps.
  • CPU-based Max Length Calculation: Modified the calculation of max_kv_len and max_q_len to utilize CPU-resident tensors (seq_lens_cpu, extend_seq_lens_cpu) where possible, minimizing costly GPU-to-CPU synchronizations.
  • Refactored Metadata Initialization: Streamlined the init_forward_metadata and init_forward_metadata_replay_cuda_graph functions by passing seq_lens_cpu directly and using pre-calculated max_kv_len values, enhancing efficiency.

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Code Review

This pull request aims to improve performance by removing blocking GPU-to-CPU memory transfers. The changes replace .item() calls on GPU tensors with computations on pre-existing CPU tensors, which should reduce synchronization overhead. Additionally, the changes correct a potential bug by using the maximum sequence length instead of the total number of tokens in certain calculations. While the overall approach is sound, I've found one critical issue introduced by a typo that needs to be fixed.

Comment thread python/sglang/srt/layers/attention/aiter_backend.py Outdated
@kkHuang-amd kkHuang-amd changed the title Improve openai/gpt-oss performance [AMD] Improve openai/gpt-oss performance Mar 20, 2026
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@hubertlu-tw hubertlu-tw left a comment

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LGTM. Nice catch!

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fixed incorrect modification

@merrymercy merrymercy merged commit 3f0ba02 into sgl-project:main Mar 21, 2026
53 of 81 checks passed
0-693 pushed a commit to 0-693/sglang that referenced this pull request Mar 25, 2026
Co-authored-by: root <root@smci355-ccs-aus-m15-21.cs-aus.dcgpu>
Co-authored-by: Hubert Lu <55214931+hubertlu-tw@users.noreply.github.com>
Co-authored-by: Hubert Lu <Hubert.Lu@amd.com>
Co-authored-by: HaiShaw <hixiao@gmail.com>
dutsc pushed a commit to dutsc/sglang that referenced this pull request Mar 30, 2026
Co-authored-by: root <root@smci355-ccs-aus-m15-21.cs-aus.dcgpu>
Co-authored-by: Hubert Lu <55214931+hubertlu-tw@users.noreply.github.com>
Co-authored-by: Hubert Lu <Hubert.Lu@amd.com>
Co-authored-by: HaiShaw <hixiao@gmail.com>
JustinTong0323 pushed a commit to JustinTong0323/sglang that referenced this pull request Apr 7, 2026
Co-authored-by: root <root@smci355-ccs-aus-m15-21.cs-aus.dcgpu>
Co-authored-by: Hubert Lu <55214931+hubertlu-tw@users.noreply.github.com>
Co-authored-by: Hubert Lu <Hubert.Lu@amd.com>
Co-authored-by: HaiShaw <hixiao@gmail.com>
yhyang201 pushed a commit to yhyang201/sglang that referenced this pull request Apr 22, 2026
Co-authored-by: root <root@smci355-ccs-aus-m15-21.cs-aus.dcgpu>
Co-authored-by: Hubert Lu <55214931+hubertlu-tw@users.noreply.github.com>
Co-authored-by: Hubert Lu <Hubert.Lu@amd.com>
Co-authored-by: HaiShaw <hixiao@gmail.com>
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4 participants