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[AMD][PD] enable mori transfer for PD decode DCP - #37358

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ShangmingCai merged 17 commits into
sgl-project:mainfrom
inkcherry:feat/mori-pd-dcp
Oct 13, 2026
Merged

ShangmingCai merged 17 commits into
sgl-project:mainfrom
inkcherry:feat/mori-pd-dcp

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@inkcherry

@inkcherry inkcherry commented Sep 1, 2026 •

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Motivation

PD decode with DCP currently rejects the Mori transfer backend because Mori does not implement the token relayout required by round-robin DCP KV shards.

Changes

  • Add DCP rank and layer metadata to Mori peer registration.
  • Transfer MLA KV at token granularity into each decode rank's DCP shard.
  • Map PP-local KV and Mamba state tensors by global layer ID.
  • Handle TP mismatch for replicated latent KV and reject unsupported head-sharded layouts.
  • Skip cached-prefix early send when DCP relayout is required.
  • Allow Mori in the PD decode DCP backend validation.

Validation

  • Mori DCP unit tests: 6/6 passed.
  • ServerArgs DCP tests: 6/6 passed.
  • Kimi-K3 PP8/TP1 prefill + TP8/DCP8 decode: both servers healthy, with no KV transfer errors.
  • 31K long-context retrieval and arithmetic: 8/8 passed, with no errors or truncation.
  • GSM8K: 39/40 (97.5%), with no errors or truncation.
  • 32K input, 1 output token, concurrency 16, 128 requests: 16,699 input tok/s and 31.11s median TTFT.
  • Pre-commit and lint checks passed.

The Kimi-K3 E2E validation used an AITER DCP-enabled stack; this PR only changes the Mori transfer path.


CI States

Latest PR Test (Base): ✅ Run #38288271653
Latest PR Test (Extra): ❌ Run #38288270583
Latest PR Test (AMD ROCm 10): ❌ Run #38288271415

@inkcherry
inkcherry marked this pull request as ready for review September 1, 2026 06:05
@Duyi-Wang Duyi-Wang added amd run-mori-pd Run mori pd related ci workflow labels Sep 3, 2026
Duyi-Wang and others added 3 commits September 3, 2026 15:53
Signed-off-by: inkcherry <mingzhi.liu@amd.com>

# Conflicts:
#	python/sglang/srt/disaggregation/mori/conn.py
Signed-off-by: inkcherry <mingzhi.liu@amd.com>
Comment on lines +1237 to +1242
requires_dcp_relayout = getattr(
req.disagg_kv_sender, "requires_dcp_relayout", None
)
if requires_dcp_relayout is not None and requires_dcp_relayout():
return

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QQ: Does only Mori need this? If so, I think this introduces another code path divergence. Also, I think we should avoid using getattr. And the code here is confusing.

@inkcherry inkcherry Sep 14, 2026 •

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Thanks, yes, writing it that way does introduce some confusion.

#32837 — this PR supports further optimization of DCP. But it only covers Mooncake and NIXL.

  • The current PR first supports the basic functionality of DCP for mori. Now I modified it here with an API supports_cached_prefix_early_send to bypass ·. No changes for nixl and mooncake.

  • In subsequent separate PRs, we will try to leverage feat: support Kimi Linear PD disaggregation with DCP #32837 and the validated optimizations. If it works, we can remove this bypass.

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re-verified on Kimi3 E2E.

@ShangmingCai ShangmingCai left a comment

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No other comment, others look good. But before we merge, we need to discuss about the diff in prefill.py.

@inkcherry

inkcherry commented Sep 15, 2026 •

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No other comment, others look good. But before we merge, we need to discuss about the diff in prefill.py.

Thank you, I have replied with the reason and revised the code. Do you think we should directly support the mori layout-related work through this PR? I am inclined to separate it.

Signed-off-by: inkcherry <mingzhi.liu@amd.com>
Signed-off-by: inkcherry <mingzhi.liu@amd.com>
@inkcherry

inkcherry commented Sep 23, 2026 •

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@ShangmingCai Applied the DCP KV layout optimization to Mori without introducing backend-specific control-flow divergence now.
re-verified on Kimi3 E2E.

@ShangmingCai ShangmingCai left a comment

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LGTM

@ShangmingCai

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/tag-and-reurn-ci

@github-actions

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⛔ /tag-and-reurn-ci isn't a recognized CI command. Did you mean /tag-and-rerun-ci?

See the command reference.

@HaiShaw

HaiShaw commented Sep 24, 2026

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/tag-and-rerun-ci

@github-actions github-actions Bot added the run-ci CI: run the baseline test suite on this PR label Sep 24, 2026
@HaiShaw

HaiShaw commented Sep 28, 2026

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@Lzy17 please have a review.

@Lzy17

Lzy17 commented Sep 28, 2026 •

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@inkcherry @HaiShaw

The port itself looks right -- every helper this calls (build_dcp_token_transfer_plan, requires_dcp_relayout, prepare_dcp_token_item_lens, resolve_dcp_dst_entry_indices) is already on main and already used by nixl and mooncake, so mori is just the third caller. pr-test-amd-mori passed on this head: 4 unit tests and 2 PD e2e tests.

One gap: nothing in CI executes the new path. test_mori_backend_basic.py is fully mocked, and test_mori_transfer_engine_e2e.py -- the one that runs on GPUs -- uses the default small model with no --dcp-size. Since requires_dcp_relayout only returns True for MLA with dcp_size 1 -> N, send_kvcache_dcp is never reached. Could you add a case with a small MLA model, prefill --dcp-size 1 and decode --dcp-size 2, on the existing linux-mi35x-gpu-8.fabric runner? If it is easier for you, we are happy to add it ourselves -- just let us know which topology you had in mind.

Two smaller things:

  • _build_tp_slice_config switching to compute_head_slice_params changes the ordinary TP-mismatch path, which is unrelated to DCP. The TPMismatch e2e test does cover it, so this is not a blocker, but it would be cleaner as its own PR -- and the function-local import hides the dependency.
  • test_server_args.py repoints the rejection case from mori to ascend, which is correct now that mori is allowed, but nothing asserts mori is accepted. One extra case would close that.

@inkcherry
inkcherry requested a review from Lzy17 as a code owner October 8, 2026 03:15
@inkcherry

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@inkcherry @HaiShaw

The port itself looks right -- every helper this calls (build_dcp_token_transfer_plan, requires_dcp_relayout, prepare_dcp_token_item_lens, resolve_dcp_dst_entry_indices) is already on main and already used by nixl and mooncake, so mori is just the third caller. pr-test-amd-mori passed on this head: 4 unit tests and 2 PD e2e tests.

One gap: nothing in CI executes the new path. test_mori_backend_basic.py is fully mocked, and test_mori_transfer_engine_e2e.py -- the one that runs on GPUs -- uses the default small model with no --dcp-size. Since requires_dcp_relayout only returns True for MLA with dcp_size 1 -> N, send_kvcache_dcp is never reached. Could you add a case with a small MLA model, prefill --dcp-size 1 and decode --dcp-size 2, on the existing linux-mi35x-gpu-8.fabric runner? If it is easier for you, we are happy to add it ourselves -- just let us know which topology you had in mind.

Two smaller things:

  • _build_tp_slice_config switching to compute_head_slice_params changes the ordinary TP-mismatch path, which is unrelated to DCP. The TPMismatch e2e test does cover it, so this is not a blocker, but it would be cleaner as its own PR -- and the function-local import hides the dependency.
  • test_server_args.py repoints the rejection case from mori to ascend, which is correct now that mori is allowed, but nothing asserts mori is accepted. One extra case would close that.

modified.

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Thanks for the PR. Items:

  1. Add the DCP e2e (small MLA model, prefill dcp1 / decode dcp2) and a test that mori is accepted, per my earlier comment. Neither is in the current head.
  2. State in the description, or split out, that this also changes non-DCP paths (layer-id PP mapping, mamba TP-slice), which only mocked tests cover.
  3. Bounds-check state_conv_shard_groups[i] / state_slice_outer_counts[i] in send_state, as is done for src_dims.
  4. Surface requires_dcp_relayout errors from _add_remote_peer as a request failure. The caller only logs, so the request waits for its timeout.
  5. Coordinate with #41769 (same _send_swa_dsa_state loop; dst-length lookups must use j) and #41140 (registration message needs the four new fields).

@ShangmingCai ShangmingCai added the bypass-fail-fast CI: a failing job no longer aborts its siblings (lint still gates) label Oct 10, 2026
@ShangmingCai

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/rerun-failed-ci

@ShangmingCai
ShangmingCai merged commit 50a1440 into sgl-project:main Oct 13, 2026
232 of 259 checks passed
Jianhong-Zhang added a commit to Jianhong-Zhang/sglang that referenced this pull request Oct 21, 2026
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Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* [Fix] Initialize BF16 GEMM dispatch in the one-batch benchmark (sgl-project#43702)

* Fix Mistral-native format detection when the Hub is unreachable (sgl-project#43446)

* [MoE] Skip block-padding rows in the TMA down activation and quant (sgl-project#42212)

* [MemCache] Split the SWA mapping move out of locked-full recovery as `RecoverEvictedSWA` (sgl-project#43721)

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

* [Rust] Lock hyper 1.12.0 and want 0.3.2 in the rust workspace (sgl-project#43724)

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

* [MemCache] Add shared component size and path APIs to the tree core interface (sgl-project#43722)

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
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amd bypass-fail-fast CI: a failing job no longer aborts its siblings (lint still gates) run-ci CI: run the baseline test suite on this PR run-mori-pd Run mori pd related ci workflow

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