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@ch-wan ch-wan commented Jun 20, 2025

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Summary of Changes

Hello @ch-wan, 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 addresses merge conflicts by performing a targeted function name update in the scheduler.py file. The core change is a refactoring that replaces an older function call with a new one, ensuring the codebase remains consistent and functional after recent merges.

Highlights

  • Merge Conflict Resolution: This pull request resolves merge conflicts by updating function calls within the scheduler.py file, specifically replacing prepare_dp_attn_batch with prepare_mlp_sync_batch.
  • Code Refactoring/Renaming: The changes involve a direct renaming of a function call from prepare_dp_attn_batch to prepare_mlp_sync_batch in two locations within the get_next_batch_to_run method.
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@zhyncs zhyncs merged commit 5041df2 into main Jun 20, 2025
0 of 47 checks passed
@zhyncs zhyncs deleted the cheng/fix-7285-merge-conflicts branch June 20, 2025 23:02
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Code Review

The pull request replaces calls to prepare_dp_attn_batch with prepare_mlp_sync_batch in the get_next_batch_to_run function. It's crucial to verify that prepare_mlp_sync_batch correctly handles the DP attention preparation logic to prevent regressions, especially in speculative decoding scenarios.

@@ -1438,7 +1438,7 @@ def get_next_batch_to_run(self) -> Optional[ScheduleBatch]:
if need_dp_attn_preparation and not self.spec_algorithm.is_none():
# In speculative decoding, prefill batches and decode batches cannot be processed in the same DP attention group.
# We prepare idle batches in advance to skip preparing decode batches when there are prefill batches in the group.
new_batch, _ = self.prepare_dp_attn_batch(new_batch)
new_batch, _ = self.prepare_mlp_sync_batch(new_batch)
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medium

This change replaces prepare_dp_attn_batch with prepare_mlp_sync_batch. It's important to ensure that prepare_mlp_sync_batch correctly handles the logic previously managed by prepare_dp_attn_batch to avoid introducing regressions in DP attention preparation. Please confirm that this substitution is functionally equivalent or superior in the context of speculative decoding and MLP synchronization.

Suggested change
new_batch, _ = self.prepare_mlp_sync_batch(new_batch)
new_batch, _ = self.prepare_mlp_sync_batch(new_batch) # Ensure this function correctly handles DP attention preparation

@@ -1454,7 +1454,7 @@

# Handle DP attention
if need_dp_attn_preparation:
ret, _ = self.prepare_dp_attn_batch(ret)
ret, _ = self.prepare_mlp_sync_batch(ret)
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medium

Similar to the previous comment, this change replaces prepare_dp_attn_batch with prepare_mlp_sync_batch. Verify that prepare_mlp_sync_batch correctly handles DP attention in this context as well.

Suggested change
ret, _ = self.prepare_mlp_sync_batch(ret)
ret, _ = self.prepare_mlp_sync_batch(ret) # Ensure this function correctly handles DP attention

whybeyoung pushed a commit to whybeyoung/sglang that referenced this pull request Jun 24, 2025
yilian49 pushed a commit to yilian49/sglang that referenced this pull request Jun 24, 2025
chenxijun1029 pushed a commit to chenxijun1029/sglang that referenced this pull request Jul 17, 2025
pi314ever pushed a commit to pi314ever/sglang that referenced this pull request Jul 17, 2025
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Co-authored-by: 弋云 <yiyun.wyt@antgroup.com>
Co-authored-by: walker-ai <2398833647@qq.com>

* Apply dsv3 router gemm kernel for deepseek-r1 fp4 (sgl-project#7677)

* [AMD] Temporarily disable test_no_overlap_scheduler and test_vision_chunked_prefill (sgl-project#7717)

* [RL] add --skip-warmup (sgl-project#7416)

* [RL] support update_weights_from_distributed with different group and multiple weights (sgl-project#7292)

* [router] add --log-level to sgl-router (sgl-project#6512)

* [b200] support trt-llm allreduce fuse rms_norm_add kernel (sgl-project#7621)

* [CPU] Bind threads and numa node for each TP rank (sgl-project#6549)

Co-authored-by: srinarayan-srikanthan <srinarayan.srikanthan@intel.com>

* Support non-contiguous query input for extend/decode attention (sgl-project#7462)

* Support updating weights at once by stopping all requests (sgl-project#6698)

Signed-off-by: Tianyu Zhou <albert.zty@antgroup.com>
Co-authored-by: Zilin Zhu <zhuzilinallen@gmail.com>

* Fix num_tokens_pre_allocated in disaggregation log (sgl-project#7714)

* [CPU] [sgl-kernel] set dispatch key of initialize to CatchAll (sgl-project#7734)

* [CPU] fix all_reduce and all_gather (sgl-project#6770)

Co-authored-by: blzheng <beilei.zheng@intel.com>

* fix awq and dsv3 fused gemm compatible (sgl-project#7735)

* [CI][Router] Fix bench_one_batch_server for pd router test (sgl-project#7731)

Signed-off-by: Shangming Cai <caishangming@linux.alibaba.com>

* Add CUTLASS FP8 Blockscale MoE kernel for Hopper architecture (sgl-project#7278)

Co-authored-by: HydraQYH <QYH820@Outlook.com>
Co-authored-by: TianQiLin666666 <1834987979@qq.com>

* fix dsv3 fused proj check  (sgl-project#7738)

* Ascend attention backend(PA&MLA) (sgl-project#7722)

Co-authored-by: Maksim <makcum888e@mail.ru>
Co-authored-by: VDV1985 <vladdv85@mail.ru>

* [fix] fix dsv3_router_gemm filter (sgl-project#7750)

* [CPU] refine CPU integration code (sgl-project#7647)

* [CPU] support the case where num_attention_heads or intermediate_size is not divisible by the TP size (sgl-project#6771)

* support qwen3 dense model dp attention (sgl-project#7681)

* [optimize] add two stream norm for qwen3 (sgl-project#7740)

Co-authored-by: ispobock <ispobaoke@gmail.com>

* feat: use D2D instead of H2H in pp (sgl-project#7673)

Co-authored-by: alpha-baby <fujianhao1997@qq.com>

* [Bug] add flashinfer bool check for fusedmoe in Qwen moe models (sgl-project#7723)

* [fix] put cpu in the first priority in get_device() (sgl-project#7752)

* [optimize] fuse renormalize into moe_topk_softmax (sgl-project#7744)

Co-authored-by: ispobock <ispobaoke@gmail.com>

* chore: bump sgl-kernel 0.2.2 (sgl-project#7755)

* fix CI: update native api ipynb (sgl-project#7754)

Signed-off-by: Xinyuan Tong <justinning0323@outlook.com>

* fuse renormal into moe topk softmax kernel python code (sgl-project#7751)

Co-authored-by: ispobock <ispobaoke@gmail.com>
Co-authored-by: zhyncs <me@zhyncs.com>

* Remove type conversion and fix id map in topk (sgl-project#7759)

* Add V2-lite model test (sgl-project#7390)

Co-authored-by: DiweiSun <105627594+DiweiSun@users.noreply.github.com>

* refactor llama4 dp attention logic (sgl-project#7729)

* fix(docs): fix the broken link in `docs/references/production_metrics.md` (sgl-project#7741)

Signed-off-by: rudeigerc <rudeigerc@gmail.com>

* [fix] update bench_speculative.py for compatibility (sgl-project#7764)

Signed-off-by: Kay Yan <kay.yan@daocloud.io>

* Move mem_fraction_static adjustment for multimodal models to `server_args.py` & Fix session control & Other cleanups (sgl-project#7748)

* [RL] Add --nccl-port to prevent port conflict (sgl-project#7418)

* [RL] add pause and continue generation for async rl training (sgl-project#7419)

* [Fix] Alloc return type error (sgl-project#7778)

Signed-off-by: Capronir <839972205@qq.com>

* [feat] Support EAGLE3 for Qwen (sgl-project#7745)

Co-authored-by: 纬杭 <ximing.wxm@antgroup.com>
Co-authored-by: zyksir <zyksir@outlook.com>

* saving hidden_states.clone() (sgl-project#7705)

* [1/n]: add cutlass W4A8 moe kernel for hopper architecture (sgl-project#7772)

Signed-off-by: yangsijia.614 <yangsijia.614@bytedance.com>
Co-authored-by: yicwang <yichen.wang@bytedance.com>

* add model: qwen2-audio (sgl-project#7596)

* Optimize Hopper CUTLASS FP8 Blockwise Grouped GEMM Kernel in Small K Scenario (sgl-project#7782)

* Embedding parallel by attn_tp (sgl-project#7623)

* fix: fix apply_shuffle_mul_sum (sgl-project#7444)

* chore: bump sgl-kernel v0.2.3 (sgl-project#7784)

* fix: use nvidia-nccl-cu12 2.27.5 (sgl-project#7787)

* DP Attention with Auto DeepEP Dispatch (sgl-project#7222)

* chore: upgrade sgl-kernel v0.2.3 (sgl-project#7786)

* Fix incorrect spec_num_draft_tokens in draft_extend (sgl-project#7757)

* [fix] fix misusing of is_cuda (sgl-project#7790)

* Add treemask mode to build_eagle_tree & release sgl-kernel 0.2.3 (sgl-project#7756)

Co-authored-by: Pranjal Shankhdhar <pranjal.ssh@gmail.com>

* chore: bump sgl-kernel v0.2.4 (sgl-project#7800)

* ci: fix port args (sgl-project#7792)

* Fix CI test OOM issue. (sgl-project#7799)

* chore: upgrade sgl-kernel v0.2.4 (sgl-project#7801)

* chore: bump v0.4.9 (sgl-project#7802)

* fix merge conflict issue

* fix hpu attention nonetyep issue

* fix alignment

* fix alignment2

* Ci failure fixes

* fix attention-backend choices

---------

Signed-off-by: Xinyuan Tong <justinning0323@outlook.com>
Signed-off-by: Shangming Cai <caishangming@linux.alibaba.com>
Signed-off-by: ch-tiger1 <xyz@ch-tech.ip-ddns.com>
Signed-off-by: huanglong <huanglong@linux.alibaba.com>
Signed-off-by: Ata Fatahi <immrata@gmail.com>
Signed-off-by: keru <rukeyang@gmail.com>
Signed-off-by: Tianyu Zhou <albert.zty@antgroup.com>
Signed-off-by: rudeigerc <rudeigerc@gmail.com>
Signed-off-by: Kay Yan <kay.yan@daocloud.io>
Signed-off-by: Capronir <839972205@qq.com>
Signed-off-by: yangsijia.614 <yangsijia.614@bytedance.com>
Signed-off-by: Mohit Sinha <msinha@habana.ai>
Co-authored-by: Lianmin Zheng <lianminzheng@gmail.com>
Co-authored-by: KavioYu <67678385+yukavio@users.noreply.github.com>
Co-authored-by: kavioyu <kavioyu@tencent.com>
Co-authored-by: Xinyuan Tong <115166877+JustinTong0323@users.noreply.github.com>
Co-authored-by: yhyang201 <47235274+yhyang201@users.noreply.github.com>
Co-authored-by: kk <43161300+kkHuang-amd@users.noreply.github.com>
Co-authored-by: wunhuang <wunhuang@amd.com>
Co-authored-by: DiweiSun <105627594+DiweiSun@users.noreply.github.com>
Co-authored-by: u4lr451 <u4lr451@gmail.com>
Co-authored-by: austindeng <austindeng@tencent.com>
Co-authored-by: tianqilin.99 <tianqilin.99@bytedance.com>
Co-authored-by: Qiaolin Yu <liin1211@outlook.com>
Co-authored-by: ch-wan <cwan39@gatech.edu>
Co-authored-by: Yijie Zhu <762412795@qq.com>
Co-authored-by: 刁莹煜 <diaoyingyu1@hisilicon.com>
Co-authored-by: Charles Chen <pychen96@gmail.com>
Co-authored-by: Chang Su <chang.s.su@oracle.com>
Co-authored-by: AniZpZ <zhuangsen.zp@antgroup.com>
Co-authored-by: Yineng Zhang <me@zhyncs.com>
Co-authored-by: shangmingc <caishangming@linux.alibaba.com>
Co-authored-by: Zhiqiang Xie <xiezhq@stanford.edu>
Co-authored-by: YanbingJiang <yanbing.jiang@intel.com>
Co-authored-by: Wu, Chunyuan <chunyuan.wu@intel.com>
Co-authored-by: jianan-gu <jianan.gu@intel.com>
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Co-authored-by: Albert <albert.zty@antgroup.com>
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Co-authored-by: Maksim <makcum888e@mail.ru>
Co-authored-by: VDV1985 <vladdv85@mail.ru>
Co-authored-by: ispobock <ispobaoke@gmail.com>
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Co-authored-by: Yuchen Cheng <rudeigerc@gmail.com>
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Co-authored-by: Pranjal Shankhdhar <pranjal.ssh@gmail.com>
Co-authored-by: jay <jthakur@habana.ai>
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