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[Refactor] Declare pipeline neighbours from a shared declaration function - #43459

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Oct 10, 2026
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cheng/refactor/pp-neighbour-declarations

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@ch-wan ch-wan commented Oct 10, 2026 •

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This PR is part of a stack (oldest at bottom):

Motivation

To bind the first and last stages of a pipeline rank's stack, make_layers built the neighbouring layers again on the meta device and read the stages they declared. Building a layer can have effects the meta device does not stop (streams, communicators, explicit devices), its choices had to be re-derived from modules nobody runs, and every bound stage kept its neighbour's and its producer's declaration, holding their reads, updates and transforms (and so their modules) for the life of the model.

Modifications

  • Record a neighbouring stage by the facts binding reads of it. facts_of() reduces a declaration to the capabilities binding reads (UpdateFacts, ReadFacts, TransformFacts) without the declarations it is chained to; neighbours and recorded producers are such facts. A read's kernels are not among them: binding takes kernels only from the reads of the stages it binds, so ReadFacts supplies none. A rank whose first stage would have to run the output transform of an attention on the previous rank is rejected (no model declares one); a test covers it.
  • Let a model declare its neighbouring stages without building the layers. make_layers / make_pp_layers take stage_facts: the model's shared declaration function, which returns the stages the layer at a global index declares, and which the layer also uses for its own declarations. Under PP each layer a rank builds is checked against it; a mismatch names the layer, the stage and each differing field with both values. Models not yet migrated stay on a transitional list that keeps the meta-device path; Nemotron-H, whose declarations already came from its pattern, gives a function and leaves the list. [Refactor] Declare every model's stages from a shared function and drop the meta-device neighbour build #43460 migrates every other model and removes the list.
  • Drop stage boundary forwarding and exports nothing uses; drop the keyword arguments no output move is given.
  • Describe neighbouring stages, exit policies and sum completers as they are in the layer boundary developer guide, including a table of exit policies and which of their decisions are fixed at construction.

Accuracy Tests

How the stack is checked:

  • Unit tests: the 39 layer-boundary test files pass at the head of every PR in the stack, apart from the two AMD-only test_aiter_allreduce_fusion_amd cases that fail on NVIDIA on main too; the test files that changed most recently pass on every commit. The full test/registered/unit suite (926 files, one process per file) shows no failure on the stack's head that main does not have.
  • Plan comparison: an out-of-tree harness binds every stage plan for seven stack shapes (decoder layers with and without an output transform, MHC, Nemotron-H patterns, Kimi K3, Qwen4-exp, NemotronNAS-style attention-only layers, single-stage appends) over 23 parallel configurations, four boundary reductions and one or two pipeline ranks (3,928 scenarios), and compares each bound plan leaf by leaf with the parent commit's.
  • GPU: dummy weights are seeded per TP rank and scaled (0.05, norms 1.0), so that a sum taken twice or a mixture of rank partials changes the output; the default dummy weights give every rank the same shard and would hide both.
  • GPU results below were measured on these commits as based on main 516fd1c1b5 unless marked as on the merge candidate; rebasing onto current main had no conflicts, and the CPU checks were run again after it.
  • On the merge candidate (head of this stack against main 961bcf481d, H200, asymmetric dummy weights unless noted): DeepSeek-V2-Lite input-scattered PP2 is bit-identical to PP1 (main crashes on it); Nemotron-H cut between a mixer and its FFN differs from PP1 only at the rounding level of the FFN-to-mixer cuts (main: 0.93 and 2.21); Llama, Qwen3-MoE, GPT-OSS and DeepSeek-V2-Lite are bit-identical to main at PP1 and PP2; GSM8K (real DeepSeek-V2-Lite weights, 250 questions, TP4 with attention DP2 and the dense FFN fully data-parallel) gives 0.360 at PP2, 0.364 at PP1 and 0.368 on main at PP1, medians of three runs whose run-to-run spread is 0.012–0.016. The last revision of the stack changed only comments, docstrings, an equivalent condition and explicitly set attributes after these runs; its bound plans are identical.

For this PR: the plan comparison differs only in how a pipeline rank's neighbour appears in a bound plan (a ReadFacts instead of the read object), on an edge whose read does not run on the sending rank.

Speed Tests and Profiling

No forward-path change.

Checklist


CI States

Latest PR Test (Base): 🚫 Run #38080873880
Latest PR Test (Extra): 🚫 Run #38080873610
Latest PR Test (AMD ROCm 10): 🚫 Run #38080873786

@github-actions github-actions Bot added the documentation Improvements or additions to documentation label Oct 10, 2026
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ch-wan force-pushed the cheng/refactor/pp-neighbour-declarations branch from ca7d821 to 78ab7b5 Compare October 10, 2026 03:23
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ch-wan force-pushed the cheng/refactor/exit-decisions-at-construction branch 2 times, most recently from 0d9d24a to 6225fa8 Compare October 10, 2026 06:21
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ch-wan force-pushed the cheng/refactor/pp-neighbour-declarations branch 2 times, most recently from 8425495 to a39d224 Compare October 10, 2026 06:28
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ch-wan force-pushed the cheng/refactor/exit-decisions-at-construction branch from 6225fa8 to 06cc9bc Compare October 10, 2026 19:42
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ch-wan requested a review from fzyzcjy as a code owner October 10, 2026 19:42
Base automatically changed from cheng/refactor/exit-decisions-at-construction to main October 10, 2026 19:42
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A stage the stack binds next to, on another pipeline rank, was the
declaration of a layer built on the meta device to read it, and every
bound stage kept its producer's declaration. A declaration holds the
stage's read, update and output transform: objects that reference the
layer's modules and state. So the neighbour layers built for a rank, and
on this rank each stage's predecessor, stayed referenced by the bound
stages for the life of the model, though binding reads only the
capabilities those objects declare.

facts_of() reduces a declaration to those capabilities (UpdateFacts,
ReadFacts, TransformFacts) without the declarations it is chained to.
A read's kernels are not among them: binding takes kernels only from the
reads of the stages it binds, so ReadFacts supplies none.
The neighbouring stages and the producer each stage records are now such
facts, which also replaces the history-free copy the stack made of each
producer. A rank whose first stage would run the output transform of an
attention on the previous rank, which this rank does not have, is
rejected; no model declares one.
To bind the first and last stages of a pipeline rank's stack, make_layers
built the neighbouring layers again on the meta device and read the
stages they declared. Building a layer can have effects that the meta
device does not stop (streams, communicators, explicit devices), and the
layer's choices had to be re-derived from modules nobody runs.

make_layers and make_pp_layers take stage_facts: the model's shared
declaration function, which returns the stages the layer at a global
index declares without building it, and which the layer uses for its
own declarations too, so both ranks derive a boundary from one source. A
neighbour query takes what the function returns (as DeclaredStages).
Under pipeline parallelism each layer a rank builds is checked against
the function, since the other ranks bind its stages from the function
alone. A model on a transitional list may still omit it and have its
neighbours built; any other model that declares stages under pipeline
parallelism must give one. Nemotron-H, whose declarations already came
from its pattern alone, gives one and leaves the list.
StageBoundary.snapshot repeated residual_batch.snapshot with one caller,
LongCat-Flash, which now calls residual_batch.snapshot like the other
models. StagePlan.produced forwarded to the path's output for one
caller. The package exported ExitDecision, FfnExit, LayerResidualOps,
NORM_READOUT, StageContract, moe_gathers_over_moe_cp and
token_axis_sizes, and imported VariantEdges, though nothing imports any
of them from the package; their modules still define them.
…y are

The layer boundary guide said a pipeline rank builds the neighbouring
layers on the meta device to read their stages, and that a stage's
declaration depends only on the config and the layer index. It now
describes the shared declaration function a model gives make_layers,
the check of each built layer against it, and the transitional list.
It gains a table of the exit policies (FFN, operation-scheduled, mixer,
stack end, pipeline handoff), with which of their decisions are fixed
when a plan is built and which are made per batch. ProducerReduction
says that each output has one completer, the boundary, except where an
FFN declares output_complete.
Seven output moves accepted **kwargs that no caller fills: an exit, a
two-batch-overlap split and a test call them with the output, the
residual and the batch, and bind the rest by name. Their signatures now
say exactly what they take.
@ch-wan
ch-wan force-pushed the cheng/refactor/pp-neighbour-declarations branch from a39d224 to be00038 Compare October 10, 2026 19:42
@ch-wan
ch-wan merged commit 3b16eee into main Oct 10, 2026
23 of 28 checks passed
@ch-wan
ch-wan deleted the cheng/refactor/pp-neighbour-declarations branch October 10, 2026 19:42
Jianhong-Zhang added a commit to Jianhong-Zhang/sglang that referenced this pull request Oct 21, 2026
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Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: Jialin <Jialin@users.noreply.github.com>

* [CI] Fix TestQwenImageModulationCache after Qwen-Image modulation sharding (sgl-project#43747)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [Bugfix] Preserve available host memory for integrated MUSA devices (sgl-project#43398)

Signed-off-by: Xucheng Zhou <aden1350@outlook.com>

* [Tokenizer] Require fastokens>=0.3.2 and include it in the all extra (sgl-project#43104)

* [AMD][V4.1][*/N] Fix DP attention + TP MoE decode NaN and support bounded replay (sgl-project#43077)

Co-authored-by: wunhuang <wunhuang@amd.com>
Co-authored-by: HAI <hixiao@gmail.com>

* Support kv cache sharding for DSA indexer (sgl-project#40925)

* [AMD][MORI] Add MORI EP V2 support (sgl-project#40666)

* [PD] Retract transferred decode requests on a retract pause (sgl-project#43757)

* [DSV4.1] Reduce eager Engram extend preparation (sgl-project#42159)

Co-authored-by: Shangming Cai <csmthu@gmail.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [Test] Re-anchor the VLM flashinfer throughput floor (sgl-project#43762)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* [Fix] scheduler: stop latching batch_is_full when nothing can run (sgl-project#41872)

Co-authored-by: hnyls2002 <lsyincs@gmail.com>
Co-authored-by: Liangsheng Yin <hnyls2002@gmail.com>

* [RL] Return a failed weight update when the cache flush is refused (sgl-project#43758)

* [CI] Skip eval retries in the PD transfer-failure test (sgl-project#43769)

* docs: sync LMSYS SGLang blog cards (sgl-project#43462)

Co-authored-by: sglang-bot <sglang-bot@users.noreply.github.com>

* [Deps] Bump FlashInfer to 0.7.1 (sgl-project#43494)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* [XPU CI] Optimize PR CI per-file timeouts and fail hanging tests fast (sgl-project#42048)

* [Fix] Adapt to transformers 5.18 / 5.19 changes (sgl-project#43688)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* [diffusion][xpu] FLUX.2: enable the bit-exact Triton SwiGLU on XPU (sgl-project#41940)

Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* docs: clarify prefill CP terminology and simplify wording (sgl-project#43787)

* [Fix] Link cuda_ipc JIT against CUDA driver stubs dir (sgl-project#43764)

* [Perf] Route BF16 mixed-batch decode tails through decode attention (sgl-project#43238)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Co-authored-by: Xiaoyu Zhang <1182563586@qq.com>

* [PD] Poison the deferred abort ack when a Mooncake send fails (sgl-project#43719)

Co-authored-by: Claude Fable 5.1 <noreply@anthropic.com>

* [HiCache] Support Mamba in buffer-only host memory mode (sgl-project#36345)

* [HiCache] Preserve all MTP KV and recurrent state (sgl-project#40223)

Co-authored-by: alphabetc1 <2508695655@qq.com>
Co-authored-by: Shuwen Wang <47200617+alphabetc1@users.noreply.github.com>

* [CI] Move tests that do not need GB300 off the per-PR GB300 suite (sgl-project#43784)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* Capture KV host transfer buffers (sgl-project#43711)

* Keep NIXL Mamba checkpoint keys separate by TP rank (sgl-project#43594)

* [XPU] Support decode context parallelism (DCP) on Intel XPU (sgl-project#34355)

Co-authored-by: Siju Samuel <siju.samuel@intel.com>

* [BCG][DSV4-Flash][CP] Support DeepSeek V4 prefill with interleave CP and breakable CUDA graphs (sgl-project#38603)

* [DSV4.1][PD][1/N] Support prefill node use cp parallel strategy (sgl-project#40323)

* [Docs] Update GLM-5.3-Flash playground: B300 default, CP8, EP and PD (sgl-project#43802)

* [Docs] Cookbook: refresh SemiAnalysis AgentX launches (GLM-5.2 B300, DeepSeek-V4.1 GB300) (sgl-project#43799)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [NPU] Stabilize HiCache and registered CI tests (sgl-project#43308)

* [sgl-router] Serve the Anthropic Messages API on /v1/messages (sgl-project#42316)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Co-authored-by: Xinyuan Tong <115166877+JustinTong0323@users.noreply.github.com>

* [Fix] Make tokenizer request-state initialization atomic (sgl-project#41911)

Co-authored-by: Cheng Wan <54331508+ch-wan@users.noreply.github.com>

* [XPU] Upgrade XPU backend to PyTorch 2.14 (sgl-project#42003)

Co-authored-by: Ashwini Rathi <arathi@habana.ai>
Co-authored-by: Y <ashwini.rathi@intel.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* [PD][Spec] Give a PD decode's first EAGLE draft step a proposal distribution (sgl-project#41783)

Co-authored-by: Shangming Cai <csmthu@gmail.com>

* [Fix] Adapt NPU Qwen-VL processor patch to transformers 5.19 resize() signature change (sgl-project#43309)

* [NPU] Diffusion CI fixes (sgl-project#43210)

* [diffusion] chore: bind worker CPUs to the GPU's NUMA node when memory policy is not permitted (sgl-project#43756)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [CI][Diffusion] Add caching for npu GT images in CI (sgl-project#37426)

Co-authored-by: Артем Савкин <58187114+OrangeRedeng@users.noreply.github.com>

* [QSA] Bound the decode indexer's work by the context length (sgl-project#43463)

Co-authored-by: luoyuan.luo <luoyuan.luo@antgroup.com>

* Prebuild fixup_zero_kv JIT module at TRTLLM-MLA backend init (sgl-project#37525)

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>

* [Unified Cache] Abort requests whose external linker load fails instead of crashing the scheduler (sgl-project#40896)

* [DSpark] Share draft params, logits dtype, confidence and the accept tail between graph and eager (sgl-project#43790)

* [DFlash] Decide the Domino candidate pool in one place and apply simulated acceptance inside the accept (sgl-project#43791)

* Fix autograd retention in CUDA graph capture tail hooks (sgl-project#43854)

* [ROCm] Eliminate HiCache migration stalls and use exact-size host allocations (sgl-project#42553)

Signed-off-by: JohnQinAMD <yanyuan.qin@amd.com>
Co-authored-by: JohnQinAMD <yanyuan.qin@amd.com>

* [AMD] Keep the FP4 varctx schedule test off AITER's 2048-row compile (sgl-project#41793)

* [AMD] Add flydsl mxfp8 dense gemm kernel for dpsk v4.1 prefill (sgl-project#43803)

* [AMD] Fix test_compact_attention_hip.py CI (sgl-project#43836)

* [AMD] [Docker] Update MoRI to v1.2.4 (sgl-project#43834)

* [Kernel] Expose bundled FlashMLA MegaAttention kernels and APIs (sgl-project#43918)

* [DeepSeek-V4.1] Admit the NIXL transfer backend for DSpark PD (sgl-project#43734)

* [AMD] Recalibrate test_quark_mxfp4 GSM8K thresholds to observed MI355X noise (sgl-project#41980)

* [DSV4][CP] Write low-ratio page indices when CP prefill runs paged attention (sgl-project#43935)

* [Build][CI] Drop Python 3.10: require Python 3.11+ and run CUDA CI on Python 3.12 (sgl-project#43021)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>
Co-authored-by: Mohammad Miadh Angkad <176301910+mmangkad@users.noreply.github.com>

* [DeepSeek-V4.1] mHC: drop seam_open, narrow precomputed stats in take_rows (sgl-project#43833)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [DSv4.1] Reduce sparse-prefill workspace padding (sgl-project#43921)

* [HiCache] Avoid full-store scans for uncached file prefix lookups (sgl-project#42077)

Signed-off-by: apex-mochen <2756823972@qq.com>
Co-authored-by: apex-mochen <265981728+apex-mochen@users.noreply.github.com>
Co-authored-by: Zhiqiang Xie <xiezhq@stanford.edu>

* [Fix] Preserve HTTP errors for non-streaming /v1/messages (sgl-project#43796)

Co-authored-by: Xinyuan Tong <xinyuantong.cs@gmail.com>
Co-authored-by: Xinyuan Tong <115166877+JustinTong0323@users.noreply.github.com>

* [DSv4.1] Temporarily disable B300 PD/CP accuracy test (sgl-project#43948)

* [PD] Recompute retracted DeepSeek-V4 requests on prefill instead of crashing decode (sgl-project#43936)

* [Fix] Account for captured inputs in DeepGEMM masked workspace budget (sgl-project#43563)

* [AMD] Update v4 amd cookbook 1012 (sgl-project#43962)

* [CI] Remove Mistral Small 4 e2e test (sgl-project#43973)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* Reuse Hugging Face LFM2-MoE configuration (sgl-project#43939)

Co-authored-by: Codex <codex@openai.com>

* fix(openai): honor tool_choice=none in DeepSeek encoders (sgl-project#43006)

Co-authored-by: ai-jz <ai-jz@users.noreply.github.com>
Co-authored-by: Xinyuan Tong <115166877+JustinTong0323@users.noreply.github.com>

* [diffusion] comfyui: run MiniMax H3, FastH3 and VDN in SGLD integrated mode (sgl-project#43504)

* [diffusion] fix: keep MiniMax-H3 VAE fused norms off ROCm (sgl-project#43350)

* [diffusion] fix: avoid redundant LoRA scaling while preserving exact numerics (sgl-project#43028)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* tokenizer perf optimization (sgl-project#39771)

Co-authored-by: BBuf <1182563586@qq.com>
Co-authored-by: Xinyuan Tong <xinyuantong.cs@gmail.com>

* [diffusion] perf: implement paint_use_remesh (decimate to 40k faces before UV unwrap) for Hunyuan3D (sgl-project#42770)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* [AMD][Kimi-K3] Use public FlyDSL APIs in KDA decode kernels (sgl-project#43968)

Co-authored-by: wunhuang <wunhuang@amd.com>

* [AMD] Fix Flux2 kv-gather abort on non-contiguous K/V (sgl-project#43793)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* [AMD] Fuse prefill index-Q RoPE fake-quant and fp4 quantize kernels in DSV4.1 (sgl-project#42911)

* [AMD][DI][CI] dsv4pro-fp8 2p1d-ep16-mtp: raise prefill mem fraction for MORI EP v2 memory (sgl-project#43944)

* [router] Fix power_of_two with --dp-aware (sgl-project#42027)

* [ROCm][Spec] Route NGRAM tree reconstruction to the JIT kernel on HIP (sgl-project#43328)

Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Thomas Wang <thomawan@amd.com>

* [PD] Support heterogeneous TP for hybrid SWA KV transfer (sgl-project#40909)

* [Diffusion] Speed up LTX-2 guidance and video output (sgl-project#43667)

* [AMD][PD] enable mori transfer for PD decode DCP (sgl-project#37358)

Signed-off-by: inkcherry <mingzhi.liu@amd.com>
Co-authored-by: Duyi-Wang <duyi.wang@amd.com>
Co-authored-by: HAI <hixiao@gmail.com>
Co-authored-by: Shangming Cai <csmthu@gmail.com>

* [Docs] Cookbook: refresh SemiAnalysis AgentX launches (DeepSeek-V4.1 GB200/GB300, GLM-5.2 FP8 B300) (sgl-project#43983)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [PD][NIXL] Fix staging buffer startup by accepting slot_layer_ids (sgl-project#43723)

Co-authored-by: Po-Han Huang (NVIDIA) <53919306+nvpohanh@users.noreply.github.com>

* [router] power_of_two: in-flight request load for --dp-aware decode (sgl-project#43483)

* [Perf] Enable fast-math for JIT activations on Blackwell (sgl-project#43236)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [NVIDIA][MegaMoE] Fix the default spec decoding moe backend when the target model uses flashinfer megamoe (sgl-project#40772)

Co-authored-by: Po-Han Huang (NVIDIA) <53919306+nvpohanh@users.noreply.github.com>

* [HiCache][PD] Allow DSA index-K elision under HiCache and disaggregation (sgl-project#41769)

Co-authored-by: Anish Shanbhag <ashanbhag@nvidia.com>

* [CI] Use sgl-eval for GLM-5.3-Flash GSM8K tests (sgl-project#43975)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* [FlashInfer] Add startup autotuning for MegaMoE (sgl-project#43789)

* [Perf] Compact GDN causal-conv grids for skewed prefill batches (sgl-project#43570)

* [AMD][CI] Run test_tracing.py in the extra tier, matching CUDA (sgl-project#43928)

Co-authored-by: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* Fix EVS for NemotronH_Omni_Reasoning_V3 (sgl-project#42933)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Co-authored-by: Po-Han Huang (NVIDIA) <53919306+nvpohanh@users.noreply.github.com>

* fix(multimodal): convert grayscale tensors to RGB in PIL backend (sgl-project#42127)

Co-authored-by: 周云昊 <zhouyunhao@zhouyunhaodeMacBook-Pro.local>

* [diffusion] comfyui: run Qwen-Image 2.1 in SGLD integrated mode (sgl-project#43581)

* [diffusion] feat: add configurable reference image resizing for MiniMax H3 Ref2VA (sgl-project#35839)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* Fix/compressed tensors nvfp4 hopper (sgl-project#40022)

Co-authored-by: Claude Opus 5 <noreply@anthropic.com>

* [NPU] [DOC] update kimi k3 cookbook and supported features on NPU (sgl-project#44052)

* [DSA] Q8KV8 FP8 Sparse Prefill on GLM-5.3-Flash with BF16 KV Cache (sgl-project#41790)

Co-authored-by: Xiaoyu Zhang <1182563586@qq.com>

* [CI] Run test_pi05_modelopt_fp8_cuda in the kernel-unit lane (sgl-project#44055)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* fix(openai): omit absent tool_calls from chat responses (sgl-project#43027)

Co-authored-by: ai-jz <ai-jz@users.noreply.github.com>
Co-authored-by: Xinyuan Tong <xinyuantong.cs@gmail.com>

* Skip fully-masked KV tiles in sliding-window extend attention (sgl-project#39769)

Co-authored-by: Cursor <cursoragent@cursor.com>

* fix(openai): keep chat stream created timestamp stable (sgl-project#43026)

Co-authored-by: ai-jz <ai-jz@users.noreply.github.com>
Co-authored-by: Xinyuan Tong <115166877+JustinTong0323@users.noreply.github.com>

* fix(openai): preserve zero cached tokens when cache reporting is enabled (sgl-project#43005)

Co-authored-by: ai-jz <ai-jz@users.noreply.github.com>
Co-authored-by: Xinyuan Tong <115166877+JustinTong0323@users.noreply.github.com>

* [AMD][DI][CI] glm52 2p1d-ep16: capture CUDA graph on decode (eager decode is too slow) (sgl-project#43977)

* [AMD][DI][CI] kimik26 2p1d-ep16: capture CUDA graph on decode (eager decode is slow) (sgl-project#43985)

* [perf] [multi-lora] remove empty CTAs from fused LoRA expand and add split-K to shrink (sgl-project#41951)

Co-authored-by: Yanbin Jiang <jybsuper@gmail.com>

* Rainj me/rust bench (sgl-project#43950)

* [Observability] Report per-request storage prefetch and staging waits in meta_info (sgl-project#43946)

Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: xiezhq-hermann <xiezhq-hermann@users.noreply.github.com>

* [lora] Support LoRA for the NemotronH_Nano_VL_V2 model family (sgl-project#39798)

Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
Co-authored-by: Po-Han Huang <pohanh@nvidia.com>
Co-authored-by: Yanbin Jiang <jybsuper@gmail.com>

* [Rust] Refuse an unsupported multimodal model before the Rust listener binds (sgl-project#43925)

Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: shodoco <shodoco@users.noreply.github.com>

* [Core] Keep request priority within the signed 64-bit range in radix caches (sgl-project#43920)

Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: qandrew <qandrew@users.noreply.github.com>

* [DCP] Decode context parallelism for DSA (GLM-5.2 / GLM-5.3) with MTP (sgl-project#43735)

Co-authored-by: vincentzed <207368749+vincentzed@users.noreply.github.com>

* [HiCache] Block-group pool hits, caller-owned load destinations, allocation-target FULL eviction (sgl-project#43868)

Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: xiezhq-hermann <xiezhq-hermann@users.noreply.github.com>

* [Rust] Let an embedding package wrap the frontend HTTP app (sgl-project#43924)

Co-authored-by: hanminglu <hanminglu@users.noreply.github.com>
Co-authored-by: shodoco <shodoco@users.noreply.github.com>

* [Core] Add request-level customized_info keys and mark Full prefill capture batches (sgl-project#43772)

Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: jiayisuse <jiayisuse@users.noreply.github.com>

* [HiCache] Extract the buffer-mode prefetch and load-back lifecycle into pipeline operations (sgl-project#43870)

Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: xiezhq-hermann <xiezhq-hermann@users.noreply.github.com>

* [unified memory pool] Prefer SWA reclaim quotas with a HiCache storage backend or on PD decode (sgl-project#43919)

Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: ZYHowell <ZYHowell@users.noreply.github.com>

* [Rust] Serve any `model` name on the OpenAI chat and completions routes (sgl-project#43923)

Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: shodoco <shodoco@users.noreply.github.com>

* docs: add MiniCPM-V 4.7 cookbook (sgl-project#43829)

* [Feature] Add Aaronson-Gumbel text watermarking (sgl-project#37577)

Co-authored-by: Nihar Patel <nihpat95@gmail.com>

* [HiSparse] Add speculative decoding support with multi-step KV cache swapping (sgl-project#37771)

* [gRPC] Move runtime.v1 bindings to tonic 0.14, report OpenAI status codes, return text on request (sgl-project#42673)

Co-authored-by: Kan Wu <kan.wu@radixark.ai>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [DeepSeek-V4.1] Run decoder SWA bounded replay inside the breakable prefill CUDA graph (sgl-project#43736)

* fix(benchmark): request token IDs when counting OpenAI prompts (sgl-project#34511)

Co-authored-by: Zijie Xia <zijie.xia@radixark.ai>

* Mark FP32 redux asm volatile (sgl-project#44137)

* [Score] Send stacked GPU embedding overrides through a CUDA IPC pool (sgl-project#39730)

Co-authored-by: Sundara Raman Ramachandran <sundar24295@gmail.com>
Co-authored-by: hnyls2002 <lsyincs@gmail.com>

* [Feature] Return output top logprobs as flat base64 arrays on request (sgl-project#42890)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [DSV4.1] Support decoder SWA bounded replay with CUDA DP attention (sgl-project#43812)

* GLM5.2 DSA Indexer Fallback (sgl-project#32947)

Co-authored-by: Shu Wang <shuw@login-hecate03.hecate.clusters.nvidia.com>
Co-authored-by: Po-Han Huang (NVIDIA) <53919306+nvpohanh@users.noreply.github.com>

* [Fix] Work around a CPython fork deadlock in the CPU preprocess pool (sgl-project#44143)

* [DSV4.1] Skip Mega mHC fusion on 0-row (DP-idle) batches (sgl-project#43993)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [Chore] release: Cherry-pick [Disagg] Return prompt routed experts from the PD prefill server to release/v0.5.22 (sgl-project#44002) (sgl-project#44212)

Co-authored-by: William Arnold <7565007+Aphoh@users.noreply.github.com>
Co-authored-by: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: ishandhanani <82981111+ishandhanani@users.noreply.github.com>

* [Chore] release: Cherry-pick [CI] glm5.2: Temporarily disable PD HiSparse+MTP B300 test to release/v0.5.22 (sgl-project#44192) (sgl-project#44214)

Co-authored-by: Mohammad Miadh Angkad <176301910+mmangkad@users.noreply.github.com>
Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* [XPU] Fix FP8 KV cache support for ModelOpt quantized models (e.g. Llama-3.3-70B-FP8)

* [XPU] Add MXFP4 W4A16 MoE inference support for Intel Xe2 (GPT-OSS)

Enable MXFP4 quantized inference on XPU using the native Xe2 SYCL
fused_experts kernel (sgl-kernel-xpu PR#184).

- quantization/__init__.py: register mxfp4 quantization method for XPU
- quantization/fp4_utils.py: broaden flashinfer import exception to avoid
  crash on XPU where flashinfer is unavailable
- quantization/mxfp4.py:
  - align intermediate size to 64 for XPU (create_weights)
  - skip CPU dequant on XPU; leave weights as packed uint8 in VRAM
    (process_weights_after_loading)
  - add XPU dispatch in apply(): call sgl_kernel.fused_experts with
    use_mxfp4_w4a16=True; convert UE8M0 uint8 scales to float32 via
    exp2(uint8 - 127); default gemm1_alpha=1.702 / gemm1_limit=7.0 to
    select activation_type=2 (ACT_SWIGLU_GPT_OSS, interleaved weight
    layout required by GPT-OSS MXFP4 checkpoints)
- models/gpt_oss.py: replace hardcoded .cuda() with .to(get_device())
  in weight loading to support XPU

* [XPU] Improvement for fp4 and fp8

 Optimize FP8 KV cache: lazy mirror buffer to avoid full cast per step
 Fix MXFP4 MoE: read activation/gemm1 params from model config instead of GPT-OSS hardcoded values

* Remove WA for FP8 KV cache

* Add analyze support for XPU

* [Intel][XPU] Allow mamba extra_buffer radix cache strategy on XPU (#9)

Co-authored-by: root <root@gnrsp-bmg3.iind.intel.com>

---------

Signed-off-by: siliangchen-amd <SiLiang.Chen@amd.com
Signed-off-by: Sage Ahrac <sagiahrak@gmail.com>
Signed-off-by: Phoenix3334 <Phoenix3334@users.noreply.github.com>
Signed-off-by: Banruo Liu <lichangxinlivingshade@gmail.com>
Signed-off-by: Xucheng Zhou <aden1350@outlook.com>
Signed-off-by: JohnQinAMD <yanyuan.qin@amd.com>
Signed-off-by: apex-mochen <2756823972@qq.com>
Signed-off-by: inkcherry <mingzhi.liu@amd.com>
Co-authored-by: Mick <mickjagger19@icloud.com>
Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Co-authored-by: Raymond Huang <103474329+Raymondlol@users.noreply.github.com>
Co-authored-by: Frederik Gossen <frgossen@meta.com>
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