[NPU]Support GPT-OSS for NPU#14197
Conversation
Summary of ChangesHello @Todobe, 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 enhances the SGLang framework by enabling the GPT-OSS model to operate effectively on NPU hardware. The changes involve fundamental adjustments to the attention mechanism and activation functions within the Ascend backend, ensuring both compatibility and improved performance. The overall goal is to broaden the hardware support for the GPT-OSS model, allowing it to leverage the specialized capabilities of NPUs. Highlights
Using Gemini Code AssistThe full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips. Invoking Gemini You can request assistance from Gemini at any point by creating a comment using either
Customization To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a Limitations & Feedback Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here. You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension. Footnotes
|
There was a problem hiding this comment.
Code Review
This pull request adapts the GPT-OSS model for NPU by adding operators for sinks and sliding windows, replacing a problematic swiglu function, and other NPU-specific adaptations. The changes are generally well-structured. I've identified a critical bug in the activation function logic for NPU MoE layers, which could affect models other than GPT-OSS. I've also suggested a refactoring to reduce code duplication in the attention backend. Addressing these points will improve the correctness and maintainability of the code.
| if self.moe_runner_config.custom_act_fn is not None: | ||
| hidden_states = self.moe_runner_config.custom_act_fn(layer, hidden_states) | ||
| elif self.moe_runner_config.activation == "silu": |
There was a problem hiding this comment.
add an option swiglu_oai for activation here
python/sglang/srt/models/gpt_oss.py
Outdated
| custom_act_fn = None | ||
| if _is_npu: | ||
| if self.layer_id == 0: | ||
| logger.warning( | ||
| "Warning: GPT-OSS use custom activate function on FusedMoE when using ascend backend." | ||
| ) | ||
| custom_act_fn = swiglu_oai |
There was a problem hiding this comment.
revert this part of changes, instead, modify modelconfig when init model
python/sglang/srt/models/gpt_oss.py
Outdated
| gemm1_clamp_limit=self.gemm1_clamp_limit, | ||
| with_bias=True, | ||
| prefix=add_prefix("experts", prefix), | ||
| custom_act_fn=custom_act_fn, |
python/sglang/srt/models/gpt_oss.py
Outdated
| ), | ||
| ) | ||
| extra_args = {} | ||
| if _is_cuda: |
There was a problem hiding this comment.
| if _is_cuda: | |
| if not _is_npu: |
|
/tag-and-rerun-ci |
* fix(ci): recover from corrupted MMMU parquet cache (sgl-project#17256) * [diffusion] feat: support default 4-step inference for Flux2-Klein distilled models (sgl-project#17225) Signed-off-by: Lancer <maruixiang6688@gmail.com> * Add runner utilization report workflow (sgl-project#17234) * cli: support sglang version (sgl-project#17250) * Use swa radix cache and memory pool for gpt-oss model (sgl-project#17261) * [VLM][Reland] Refactor load_mm_data to improve performance (sgl-project#16152) Co-authored-by: luoyuan.luo <luoyuan.luo@antgroup.com> * [Tiny] Improve docs (sgl-project#17264) * [diffusion] fix: set guidance_scale default to None (sgl-project#17182) * Tiny fix comment typo (sgl-project#17287) * [SPEC_V2] Enable cudagraph draft_extend for trtllm_mla_backend and Acclen Fix for DP under cudagraph mode (sgl-project#16974) * Add kl test for swa radix cache (sgl-project#17281) * fix: Handle multiple named chat templates in HuggingFace tokenizers (sgl-project#17236) Signed-off-by: Xinyuan Tong <xinyuantong.cs@gmail.com> * Move radix cache related tests (sgl-project#17295) * [Refactor] Add `-fp4-gemm-backend` to replace `SGLANG_FLASHINFER_FP4_GEMM_BACKEND` (sgl-project#16534) Co-authored-by: Vincent Zhong <207368749+vincentzed@users.noreply.github.com> * [Bugfix] Fix PD accuracy when MTP is not configured on the prefill node (sgl-project#17212) Co-authored-by: Shangming Cai <csmthu@gmail.com> * [Diffusion] Apply jit qk_norm to flux1 (sgl-project#17296) * [Refactor] Split out deepseek v2 weight loader function into mixin (sgl-project#16649) * [NPU]Support GPT-OSS for NPU (sgl-project#14197) * [jit-kernel] Add CuTe DSL GDN Decode Kernel (sgl-project#15631) Co-authored-by: Jinyan Chen <jinyanc@nvidia.com> * [GLM 4.7] Add RTX 6000 Pro aka sm120 (sgl-project#17235) Co-authored-by: root <root@ubuntu-nvidia.localdomain> * Update CODEOWNERS for multimodal_gen (sgl-project#17308) Co-authored-by: Xiaoyu Zhang <35585791+BBuf@users.noreply.github.com> * [Feature] overlap LoRA weight loading with compute (sgl-project#15512) * [PD] Optimize MHA models pp util calculation logic (sgl-project#17306) * [Minor] Correct sglang version when installing from source (sgl-project#17315) * Use dsv3 optimized routing `fused_topk_deepseek` instead of `moe_fused_gate` (sgl-project#15347) * [DeepSeek v3.2] Opt MTP decode cuda batch sizes and nsa implementation (sgl-project#16961) * Update code sync scripts (sgl-project#17319) * [Auto Sync] Update tokenizer_manager.py (20260119) (sgl-project#17317) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> * support new qwen3_coder_detector (sgl-project#16744) Co-authored-by: liugaoji.lgj <liugaoji.lgj@alibaba-inc.com> * Fix kernel selection in biased_grouped_topk_gpu (sgl-project#17325) * KV Cache Events with Attention DP bug fix (sgl-project#16030) (sgl-project#16412) * [Perf] fuse q, k norm for Flux2Attention (sgl-project#17241) Co-authored-by: Minglei Zhu <zminglei@linkedin.com> * [CI] Add partition to stage-b-test-large-1-gpu (11->12) (sgl-project#17245) * fix(ci): rate limit and permission errors in trace publishing (sgl-project#17238) * Revert "[Perf] fuse q, k norm for Flux2Attention (sgl-project#17241)" (sgl-project#17332) * Migrate performance, accuracy, and quantization tests to CI registry (sgl-project#17177) Co-authored-by: Kangyan-Zhou <zky314343421@gmail.com> * Inclusion of nvfp4 blockscale in EPLB Rebalance (sgl-project#17158) * [Refactor] Set `fp4-gemm-backend=auto` on SM100 and rename `fp4-gemm-backend` with `flashinfer_` prefix (sgl-project#17309) * [Diffusion] Apply qknorm to flux2 and apply lightx2v rms_norm_one_pass kernel(without residual) (sgl-project#17305) Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> * Fix v32 continue_final_message not work (sgl-project#16567) * Evict swa kv cache during decoding (sgl-project#17220) * [RadixTree][1/N Refactor]: Support unified match_prefix params (sgl-project#17142) Co-authored-by: yizhang2077 <1109276519@qq.com> Co-authored-by: pansicheng <sicheng.pan.chn@gmail.com> * [AMD CI] Migrate and Add More Testcases (sgl-project#17116) Co-authored-by: yctseng0211 <yctseng@amd.com> * [AMD] CI - add partitions for stage-b-test-small-1-gpu-amd (sgl-project#17345) * Restore deepseek_v2.py to main's code, except the utils * Ran `pre-commit` --------- Signed-off-by: Lancer <maruixiang6688@gmail.com> Signed-off-by: Xinyuan Tong <xinyuantong.cs@gmail.com> Co-authored-by: Hudson Xing <1277646412@qq.com> Co-authored-by: Lancer <402430575@qq.com> Co-authored-by: Alison Shao <54658187+alisonshao@users.noreply.github.com> Co-authored-by: Mick <mickjagger19@icloud.com> Co-authored-by: Ke Bao <ispobaoke@gmail.com> Co-authored-by: Yuan Luo <yuan.luo@hotmail.com> Co-authored-by: luoyuan.luo <luoyuan.luo@antgroup.com> Co-authored-by: Mohammad Miadh Angkad <mangkad.bsdsba2027@aim.edu> Co-authored-by: Changyi Yang <112288487+ChangyiYang@users.noreply.github.com> Co-authored-by: YAMY <74099316+YAMY1234@users.noreply.github.com> Co-authored-by: Xinyuan Tong <115166877+JustinTong0323@users.noreply.github.com> Co-authored-by: b8zhong <b8zhong@uwaterloo.ca> Co-authored-by: Vincent Zhong <207368749+vincentzed@users.noreply.github.com> Co-authored-by: Ch3ngY1 <91232537+Ch3ngY1@users.noreply.github.com> Co-authored-by: Shangming Cai <csmthu@gmail.com> Co-authored-by: Xiaoyu Zhang <35585791+BBuf@users.noreply.github.com> Co-authored-by: Jerry Ji <jerryjilol@gmail.com> Co-authored-by: Todobe <43903496+Todobe@users.noreply.github.com> Co-authored-by: Jinyan Chen <93358689+liz-badada@users.noreply.github.com> Co-authored-by: Jinyan Chen <jinyanc@nvidia.com> Co-authored-by: Koushik Dutta <koush@koushikdutta.com> Co-authored-by: root <root@ubuntu-nvidia.localdomain> Co-authored-by: Glen Liu <62917497+glenliu21@users.noreply.github.com> Co-authored-by: Baizhou Zhang <sobereddiezhang@gmail.com> Co-authored-by: Lee Nau <lnau@nvidia.com> Co-authored-by: Yongfei Xu <xuyongfei.xyf@antgroup.com> Co-authored-by: Lianmin Zheng <lianminzheng@gmail.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Gaoji Liu <34803073+attack204@users.noreply.github.com> Co-authored-by: liugaoji.lgj <liugaoji.lgj@alibaba-inc.com> Co-authored-by: yudian0504 <138860534+yudian0504@users.noreply.github.com> Co-authored-by: Kartik Ramesh <kartikx2000@gmail.com> Co-authored-by: Minglei Zhu <mingleizhu1122@gmail.com> Co-authored-by: Minglei Zhu <zminglei@linkedin.com> Co-authored-by: Kangyan-Zhou <zky314343421@gmail.com> Co-authored-by: Shu Wang <shuw@nvidia.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: ybyang <10629930+whybeyoung@users.noreply.github.com> Co-authored-by: zhangheng <hzh0425@apache.org> Co-authored-by: yizhang2077 <1109276519@qq.com> Co-authored-by: pansicheng <sicheng.pan.chn@gmail.com> Co-authored-by: Bingxu Chen <Bingxu.Chen@amd.com> Co-authored-by: yctseng0211 <yctseng@amd.com>
| self.vocab_size = config.vocab_size | ||
| self.pp_group = get_pp_group() | ||
|
|
||
| if is_npu: |
There was a problem hiding this comment.
This should be _is_npu, otherwise this condition will always be True and will hinder running on other backends.
@Todobe can you fix it?
Co-author: @McZyWu
Motivation
Adapting GPT-OSS model for NPU.
Modifications
Accuracy Tests
We tested the GPT-oss-120b-bf16 model on the GSM8K dataset with 256 questions with max_new_tokens=512. The accuracy was 84.4%.
Benchmarking and Profiling
Checklist