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[ROCm][DSv4.1][Perf] Emit MXFP8 from the sparse decode reduce and run wo_a as a grouped FP8 GEMM - #58456

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Fangzhou-Ai:rocm-dsv41-mxfp8-wo-a
Sep 24, 2026
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Fangzhou-Ai:rocm-dsv41-mxfp8-wo-a

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@Fangzhou-Ai Fangzhou-Ai commented Sep 23, 2026 •

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Purpose

Follow-up to #57435. That PR moved the inverse RoPE into the sparse-decode
reduce epilogue, but the reduce still writes the attention output as bf16
[T, H, 512] and wo_a then reads it back through a bf16 hipBLASLt einsum
(Cijk_Alik_Bljk_BBS_BH_Bias...) on a dequantized bf16 copy of the weight.
wo_a is weight-bandwidth bound at decode, so it pays for twice the bytes
the checkpoint actually stores.

This PR takes the rest of the chain the way the SM100 path does: the reduce
epilogue also emits wo_a's MXFP8 input directly, and wo_a runs as a
grouped FP8 GEMM on the checkpoint's MXFP8 weight.

before: sparse partial -> reduce + inv RoPE -> bf16 [T,H,512] -> bf16 einsum (dequantized W) -> wo_b
after:  sparse partial -> reduce + inv RoPE + MXFP8 quant/scales -> grouped MXFP8 GEMM -> wo_b

What changes

  • Reduce epilogue (_sparse_attn_decode_reduce_kernel, QUANT_OUT): after
    the inverse RoPE, the fp32 row is MXFP8-quantized in registers (one E8M0
    scale per 32 lanes, the mxfp8_e4m3_quantize rounding) and stored as e4m3
    plus scales. There is no bf16 write, no read-back and no standalone quant
    launch.
  • Grouped MXFP8 wo_a GEMM (rocm_mxfp8_wo_a_bmm): a Triton tl.dot_scaled
    kernel for [T, G, 4096] x [G, 1024, 4096] on the CDNA4 MX matrix cores.
    It reads the e4m3 weight and per-row E8M0 scales exactly as the ROCm MXFP8
    linear leaves them after loading, with no scale re-layout and no dequantized
    copy (the cached bf16 wo_a is no longer built: ~33.5 MB/layer at TP2). Tile
    tiers are keyed on T * G, tuned under HIP graphs with a cold weight. It is
    registered as a custom op, because the tile choice branches on the token
    count and _o_proj runs compiled.
  • Prefill rows (rocm_inverse_rope_mxfp8_rows): sparse prefill still writes
    bf16, into a workspace slice requested together with the prefill KV gather.
    One pass then rotates and quantizes it into the same MXFP8 buffer, so a
    mixed step feeds a single wo_a GEMM.
  • Layer (DeepseekV41ROCMAiterMLAAttention): on gfx950 (on_gfx950()),
    _alloc_attn_out returns a QuantizedActivation (same contract as the SM100
    mega-attention layer), and _o_proj runs the FP8 GEMM then wo_b. This
    replaces the bf16 path on gfx950. The bf16 path remains only for archs
    without MX matrix cores (gfx942), where wo_a is BF16-emulated anyway.

Not a duplicate

Kernel performance (MI355X, gfx950)

The measured unit is the reduce plus wo_a. Before: reduce + inverse RoPE
writes bf16, then the bf16 einsum. After: reduce + inverse RoPE + MXFP8
quant, then the grouped FP8 GEMM. Times are in µs, shown as before → after
(speedup). Everything is replayed from HIP graphs, and the weight rotates
across >1 GB of copies so every call is cold, as in a real step. T = conc x
(1 + spec), 8 KV splits.

TP2 (32 local heads, 4 wo_a groups)

conc \ spec 0 1 2 3 4 5
1 12.3→8.8 (1.41×) 12.4→8.8 (1.42×) 12.7→8.8 (1.44×) 12.8→8.8 (1.45×) 12.9→8.8 (1.46×) 13.1→8.8 (1.48×)
2 12.6→8.8 (1.44×) 12.8→8.8 (1.45×) 13.1→8.8 (1.48×) 13.3→8.8 (1.51×) 13.7→9.2 (1.50×) 14.0→9.4 (1.49×)
4 12.8→8.8 (1.45×) 13.3→8.8 (1.51×) 13.9→9.4 (1.48×) 14.4→9.5 (1.52×) 16.6→10.9 (1.53×) 17.0→10.9 (1.55×)
8 13.3→8.8 (1.50×) 14.5→9.5 (1.53×) 17.1→10.9 (1.57×) 18.1→11.6 (1.57×) 21.9→13.8 (1.59×) 22.4→14.3 (1.56×)
16 14.6→9.6 (1.53×) 18.1→11.6 (1.56×) 22.6→14.4 (1.57×) 22.2→16.2 (1.37×) 24.4→19.2 (1.26×) 26.1→20.8 (1.25×)
32 18.2→11.6 (1.58×) 22.1→16.2 (1.36×) 26.1→20.7 (1.26×) 28.9→24.6 (1.17×) 34.5→29.4 (1.17×) 39.5→33.0 (1.20×)
64 22.2→16.2 (1.37×) 29.1→25.1 (1.16×) 38.0→31.6 (1.20×) 52.9→41.7 (1.27×) 56.8→51.2 (1.11×) 65.1→55.0 (1.18×)
128 28.8→24.6 (1.17×) 51.3→40.7 (1.26×) 66.0→55.9 (1.18×) 89.2→69.9 (1.28×) 111.2→105.0 (1.06×) 137.1→121.3 (1.13×)

TP4 (16 local heads, 2 wo_a groups)

conc \ spec 0 1 2 3 4 5
1 9.7→7.8 (1.25×) 9.9→7.8 (1.27×) 9.9→7.8 (1.27×) 9.9→7.8 (1.27×) 10.6→7.8 (1.36×) 10.7→7.8 (1.37×)
2 9.9→7.8 (1.28×) 9.9→7.8 (1.27×) 10.8→7.8 (1.38×) 10.9→7.8 (1.40×) 11.0→7.8 (1.41×) 11.2→7.8 (1.43×)
4 9.9→7.8 (1.27×) 11.0→7.8 (1.41×) 11.3→7.8 (1.45×) 11.5→7.8 (1.49×) 13.7→8.1 (1.69×) 13.9→8.2 (1.70×)
8 10.9→7.8 (1.40×) 11.6→7.8 (1.49×) 13.9→8.2 (1.70×) 14.2→8.2 (1.74×) 15.0→9.7 (1.55×) 15.6→9.8 (1.58×)
16 11.5→7.8 (1.49×) 14.2→8.2 (1.74×) 15.5→9.8 (1.58×) 15.7→10.6 (1.48×) 19.5→13.5 (1.44×) 20.5→14.2 (1.45×)
32 14.2→8.1 (1.74×) 15.7→10.6 (1.48×) 20.5→14.1 (1.45×) 19.3→16.0 (1.21×) 22.4→18.7 (1.20×) 24.7→19.9 (1.24×)
64 15.7→10.6 (1.48×) 19.4→16.0 (1.22×) 24.8→20.0 (1.24×) 27.3→22.4 (1.22×) 31.2→27.2 (1.15×) 36.2→30.2 (1.20×)
128 19.3→16.0 (1.21×) 27.3→22.3 (1.22×) 36.2→30.3 (1.19×) 43.4→35.4 (1.23×) 49.3→46.2 (1.07×) 57.9→50.4 (1.15×)

The fused path is faster at all 96 shapes. The quant costs the reduce only
~0.15-0.3 µs, and the FP8 GEMM streams half the weight bytes. For
comparison, a standalone quant kernel in front of the same FP8 GEMM would
land at only 0.97-1.5× over bf16, since the extra graph node eats most of the
win. That is why the quant lives in the epilogue. At prefill sizes
(T*G >= 8K) the Triton GEMM is compute bound and within ±9% of hipBLASLt bf16.
That is noise against a prefill step, so there is a single path rather than a
size switch.

TP2 CONC2 decode comparison
Before:
image
After:
image

Precision comparison

Both wo_a paths are compared against an fp64 reference using real
DeepSeek-V4.1-Flash wo_a weights
(layers 10 and 30, rank-0 shard).
Activations are Gaussian and Student-t(3) with per-head magnitudes spread by
a log-normal factor, at T ∈ {1, 32, 128}. Each range covers all 24 cases per
path:

path rel. L2 error SNR cosine max abs err / max|ref|
bf16 act + bf16 einsum (main) 2.25e-3 – 2.48e-3 52.1 – 53.0 dB 0.999997 2.1e-3 – 4.6e-3
MXFP8 act + grouped MXFP8 GEMM (this PR) 2.59e-2 – 2.84e-2 30.9 – 31.7 dB 0.99960 – 0.99967 2.4e-2 – 4.0e-2

The whole difference is MXFP8 activation quantization. Both paths use the
same FP8 weights, and the GEMM itself matches an fp32 einsum of its own
dequantized inputs to bf16-output rounding (see the tests). This is the same
activation recipe as the SM100 deep_gemm_fp8_o_proj path, and the ~31.5 dB
agrees with the figure #57081 reports for FP8 wo_a. Note that DeepSeek's
reference inference/model.py runs wo_a on bf16 activations, which is why
the end-to-end accuracy eval below matters.

Kernel parity, from the new tests:

  • The reduce's MXFP8 epilogue is bit-exact (data and scales) against
    _mxfp8_e4m3_quantize_torch applied to the reduce's fp32 output, with and
    without adaptive splits.
  • The prefill rotate+quant pass matches inverse RoPE + MXFP8 in fp32: scales
    are exact and every element is within half an e4m3 step.
  • rocm_mxfp8_wo_a_bmm matches an fp32 einsum of the dequantized operands
    across every tile tier and partial M tiles.
  • The real split-K decode with out_mxfp8 dequantizes to its bf16 output
    within e4m3 rounding.

Test Plan / Results

$ pytest tests/kernels/attention/test_rocm_triton_attn_dsv4.py -q     # MI355X
86 passed in 58.38s

New tests:

  • test_sparse_attn_decode_reduce_mxfp8_epilogue: bit-exact against
    _mxfp8_e4m3_quantize_torch.
  • test_inverse_rope_mxfp8_rows
  • test_sparse_attn_decode_mxfp8_output: the real decode launcher with
    out_mxfp8.
  • test_rocm_mxfp8_wo_a_bmm[one case per tile tier]

The existing #57435 epilogue tests pass unchanged.

pre-commit run (including mypy) is clean.

Accuracy (GSM8K)

DeepSeek-V4.1-Flash, MI355X, TP4, DSpark spec decode (5 tokens). The eval is
the InferenceX gsm8k.yaml (5-shot, chat completions, concurrency 128,
max_tokens=12288, greedy), using the same server flags as the InferenceX
dsv41flash_fp4_mi355x_vllm_mtp job.

flexible-extract strict-match
baseline (InferenceX run, nightly 3df4ae15) 0.9727 ± 0.0045 0.9735 ± 0.0044
this PR 0.9727 ± 0.0045 0.9735 ± 0.0044

End to end (decode trace + throughput)

DeepSeek-V4.1-Flash on MI355X, TP2, DSpark ×5 (T = 192 tokens per step at
conc 32), same server flags as above. main (parent commit e975732152) and
this PR ran side by side on GPUs 2-3 and 0-1, with identical load and the
profiler window started at the same moment. The trace covers 24 decode steps
on rank 0 (43 layers → 1032 per-kernel launches).

kernel (per decode step, rank 0) main this PR delta
wo_a: hipBLASLt Cijk_Alik_Bljk_BBS_BH_Bias_… (1032 launches, 22.1 µs avg) 952.4 µs — −952.4 µs
wo_a: _mxfp8_wo_a_bmm_kernel (1032 launches, 14.0 µs avg) — 601.4 µs +601.4 µs
elementwise_kernel copying the bf16 einsum output for wo_b (1032 launches) 269.9 µs — −269.9 µs
_sparse_attn_decode_reduce_kernel (+ MXFP8 epilogue) 310.0 µs 368.9 µs +58.9 µs
attention output → wo_a chain 1532.3 µs 970.3 µs −562.0 µs (−37%)
all kernels 38.33 ms 37.33 ms −2.6% (includes ~±0.5 ms GPU-pair noise in untouched MoE kernels)

The standalone higher-precision wo_a GEMM is gone from the trace, and so is
the bf16 round trip. No standalone quant or inverse-RoPE kernel runs in decode.

Serving throughput, vllm bench serve: random 1024 in / 1024 out,
--ignore-eos, concurrency 32, 160 prompts, two runs per side.

output tok/s mean TPOT median TPOT
main (run 1 / run 2) 1868.5 / 1838.9 15.79 / 16.02 ms 15.35 / 16.22 ms
this PR (run 1 / run 2) 1897.6 / 1928.4 15.49 / 15.33 ms 15.29 / 15.27 ms
mean +3.2% (1853.7 → 1913.0) −3.1% (15.91 → 15.41 ms)

Traces (torch profiler, rank 0) are available on request.


AI assistance (Claude) was used to write this change. The submitter has
reviewed every changed line, ran the tests above, and is responsible for it.

🤖 Generated with Claude Code

… wo_a as a grouped FP8 GEMM

On gfx950 the sparse decode reduce now quantizes its inverse-RoPE'd output
to MXFP8 (e4m3 + per-32 E8M0 scales) in the epilogue, and wo_a consumes it
through a grouped tl.dot_scaled GEMM that reads the checkpoint's MXFP8
weight as loaded. This replaces the bf16 attention output + bf16 hipBLASLt
einsum on a dequantized weight copy.

Prefill rows are rotated and quantized in one pass from a bf16 workspace.
The bf16 path remains the fallback when the loaded wo_a layout or the
platform does not support the MXFP8 GEMM.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: fai <fangzhouai@gmail.com>
@mergify mergify Bot added deepseek Related to DeepSeek models DSv4.1 Related to DeepSeek-V4.1 models rocm Related to AMD ROCm labels Sep 23, 2026
@github-project-automation github-project-automation Bot moved this to Todo in AMD Sep 23, 2026
Fangzhou-Ai and others added 2 commits September 23, 2026 21:30
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: fai <fangzhouai@gmail.com>
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: fai <fangzhouai@gmail.com>
@Fangzhou-Ai
Fangzhou-Ai marked this pull request as ready for review September 24, 2026 00:19

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Claude Code Review

This pull request is from a fork — automated review is disabled. A repository maintainer can comment @claude review to run a one-time review.

@Fangzhou-Ai Fangzhou-Ai added the ready ONLY add when PR is ready to merge/full CI is needed label Sep 24, 2026
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✅ @Fangzhou-Ai, CI is now available for this PR.

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✅ Triggered Buildkite CI #90840 for commit f7a908a4108f.

Comment thread vllm/models/deepseek_v41/amd/rocm.py Outdated
Comment thread vllm/v1/attention/ops/rocm_aiter_mla_sparse.py

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Anyway, overall LGTM.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: fai <fangzhouai@gmail.com>
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❌ This PR is 8 commits behind upstream main. Your branch must contain every commit currently on upstream main. No new CI build was started. Merge or rebase onto the latest main, then rerun /ci run. To test this branch at your own risk, use /ci run --allow-stale.

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✅ Triggered Buildkite CI #90875 for commit a6439ef8375a.

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✅ CI is already running for this commit: https://buildkite.com/vllm/ci/builds/90875

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✅ Queued 2 failed job(s) for retry in Buildkite CI #90875.

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shen-shanshan enabled auto-merge (squash) September 24, 2026 11:28
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shen-shanshan merged commit 721d0e5 into vllm-project:main Sep 24, 2026
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Fangzhou-Ai added a commit to Fangzhou-Ai/vllm that referenced this pull request Sep 24, 2026
RocmDotScaledMxfp8LinearKernel now keeps 32x32 checkpoint scales as
[N/32, K/32], which includes wo_a. The grouped wo_a kernel from vllm-project#58456
indexed them per row; derive the scale row block from the scale shape.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: fai <fangzhouai@gmail.com>
arbi-dev added a commit to arbicity/vllm-turbo that referenced this pull request Oct 7, 2026
* [Bugfix][XPU] store the pointer raw bit pattern instead of its numeric value (#54514)

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* [Perf][Frontend] Offload streaming derender detokenization (#57528)

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* [Multimodal] Reuse the supplied tokenizer in the MiniMax-M3 VL processor (#58460)

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* [XPU] enable XPU GRAPH by default (#51600)

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* [ROCm][DSv4.1][Perf] Emit MXFP8 from the sparse decode reduce and run wo_a as a grouped FP8 GEMM (#58456)

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* Revert "[DSpark] Support pipeline-parallel targets in aggregated serving (#56956)" (#58484)

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* [Fast Start] Wait for weight cache daemon readiness (#58370)

* [Bugfix][Quantization] Add Humming to the W4A8 (INT4xFP8) MoE oracle (#58427)

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* [Refactor] Move auxiliary files out of the repository root (#58572)

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* [Cleanup] Remove online quantization support in `fp8.py` in favor of online shorthands (#53585)

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* [ROCm] Fix misrouting race-condition in multi-decode P/D disagg with mori-io (#51681)

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* [Perf] DiffusionGemma: constrained reads over the request's logprob_token_ids (#58216)

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* [Model Runner V2][Spec Decode] Support spec decode with draft model (#43091)

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Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>

* [Perf][MRV2] Allow FULL decode graphs for one-token prompt tails (#58400)

Signed-off-by: Nick Hill <nickhill123@gmail.com>
Co-authored-by: Nicolò Lucchesi <nicolo.lucchesi@mistral.ai>
Co-authored-by: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
Co-authored-by: Yongye Zhu <zyy1102000@gmail.com>

* [Bugfix][Scheduler] Preserve logprobs across streaming continuations (#57447)

Signed-off-by: 0xsensei <prblmslvr.aditya@gmail.com>

* [Mypy] Fix mypy typing for Voxtral and vision models (#58251)

Signed-off-by: Ashraf Bhuiyan <mbhuiyan@redhat.com>
Co-authored-by: Wentao Ye <44945378+yewentao256@users.noreply.github.com>

* [Core] Rework scheduler `skipped_waiting` queue (#58947)

Signed-off-by: Nick Hill <nickhill123@gmail.com>
Co-authored-by: Robert Shaw <114415538+robertgshaw2-redhat@users.noreply.github.com>

* [Bugfix][MRV2][Spec Decode] Reject draft slots that were never proposed (#58784)

Signed-off-by: zixi-qi <zixi@inferact.ai>
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: Nick Hill <nickhill123@gmail.com>

* [ROCm][CI] Add missing test coverage for upstream parity (#50519)

Signed-off-by: Andreas Karatzas <akaratza@amd.com>
Signed-off-by: Stefan Koncarevic <Stefan.Koncarevic@amd.com>
Signed-off-by: Andreas Karatzas <Andreas.Karatzas@amd.com>
Co-authored-by: Stefan Koncarevic <Stefan.Koncarevic@amd.com>
Co-authored-by: OpenAI Codex <codex@openai.com>
Co-authored-by: OpenAI Codex <noreply@openai.com>

* [Bugfix][Scheduler] Refresh max tokens for streaming continuations (#57676)

Signed-off-by: 0xsensei <prblmslvr.aditya@gmail.com>
Co-authored-by: OpenAI Codex <codex@openai.com>

* [Perf][Spec Decode] Avoid triton recompiles in the acceptance estimator (#57107)

Signed-off-by: Giancarlo Delfin <gdelfin@inferact.ai>
Co-authored-by: Woosuk Kwon <woosuk@inferact.ai>

* [CI/Build] Skip the snapshot runtime on CUDA 12.x images (#59118)

Signed-off-by: khluu <khluu000@gmail.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
(cherry picked from commit aedaba8664f67d8ae1538e5e5cec2b1ce3f258dd)

* [XPU][CI]Skip test_abort_timeout_on_prefiller in nightly (#58307)

Signed-off-by: zengxian <xiangdong.zeng@intel.com>
Co-authored-by: Kunshang Ji <kunshang.ji@intel.com>
(cherry picked from commit 09c47db1ca080793dc2351144cb39513fd7984ca)

* [Bugfix][Engram] Keep THP tables private when resolving shared memory (#59068)

Signed-off-by: Ren Yuzhou <54501155+yuzhouo7@users.noreply.github.com>
Co-authored-by: Claude <noreply@anthropic.com>
(cherry picked from commit ec5e0c352f079c2cb8f46752fd0317a2745050bf)

* [ROCm][CI] Expand MI355 mirrors and route MIG-sized jobs to DPX (#59137)

Signed-off-by: Andreas Karatzas <andreas.karatzas@protonmail.com>
(cherry picked from commit 6ebb5bd64f5ef75dbe1471ee88c009003b3d03ec)

* [Bugfix][Mamba] Keep the prompt-end prefill checkpoint under sparse retention (#59146)

Signed-off-by: Jared Wen <jaredwen@inferact.ai>
Co-authored-by: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Co-authored-by: Jiangyun Zhu <riverclouds.zhu@qq.com>
(cherry picked from commit d882bddbeab6b4a0d5861dfcb171bf61ce2109d6)

* [Core][BugFix] Tag prefix-cache extra keys by source (#51899)

Signed-off-by: Nick Hill <nickhill123@gmail.com>
Co-authored-by: Lucas Bourtoule <35483370+dhalf@users.noreply.github.com>
Co-authored-by: Tai An <antai12232931@outlook.com>
Co-authored-by: Nick Hill <nickhill123@gmail.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
(cherry picked from commit 765872e7ed5b6f372f0898a67e48d3365fa28139)

* [Bugfix][Frontend] Reject LoRA adapters named after a served model (#59286)

Signed-off-by: Nick Hill <nickhill123@gmail.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
(cherry picked from commit 105a4e097b905127b1d5f09a7e93bd1095e87a6c)

* [Dependency] Upgrade FlashInfer to 0.7.0.post1 (#59323)

Signed-off-by: wzhao18 <wzhao18.sz@gmail.com>
(cherry picked from commit 678baf53724e06cef7f07628ae8fd4cc6c96f11a)

* [Bugfix][HiSparse] Resolve MTP verification rows with a union residency kernel (#59235)

Signed-off-by: Matthew Bonanni <mbonanni@redhat.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
(cherry picked from commit 2798f668608155bc8a8c74cb97e3ddd0d3053085)

* [Bugfix][HiSparse] Never allocate GPU pages without host backing (#59036)

Signed-off-by: Lucas Wilkinson <lwilkins@redhat.com>
Signed-off-by: Matthew Bonanni <mbonanni@redhat.com>
Co-authored-by: Matthew Bonanni <mbonanni@redhat.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
(cherry picked from commit 90e13fc757cffc11b55689d9cc33d844d9606516)

* [CPU][Whisper] Support W4A16 quantized Whisper on the CPU WNA16 kernel (#58268)

Signed-off-by: Harshal Adhav <harshal.adhav@amd.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Li, Jiang <jiang1.li@intel.com>
(cherry picked from commit 5faf81a4297921c699f9aa58f9c6395e95ede718)

* [Core] Bound UniProc EngineCore startup threads to available CPUs (#58946)

Signed-off-by: Andreas Karatzas <andreas.karatzas@protonmail.com>
(cherry picked from commit 866fa130fac1e1252330a680fbed45ad05eba64f)

* [KV-Offloading][TP] : Expand replicated_layout detection to multi-group MLA  (#57652)

(cherry picked from commit 5463fe4962785cdc3383477bf3af6533e7647dfd)

* [Bugfix][HiSparse] Preserve host prefix publication after request completion (#59007)

Signed-off-by: Yueh-Ting Chen <yueh.ting.chen@gmail.com>
Co-authored-by: Matthew Bonanni <mbonanni@redhat.com>
(cherry picked from commit ff1b87cca25690fef6bd12667fd0d26690d949af)

* [Bugfix][HiSparse] Adopt GPU prefix copies after the hit's allocation (#59282)

Signed-off-by: Matthew Bonanni <mbonanni@redhat.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
(cherry picked from commit 3eb6cec22ad9bb098393021b956feaa97081fc85)

* [Bugfix][HiSparse] Stop the host pool feeding device KV cache residency metrics (#58725)

Signed-off-by: Yueh-Ting Chen <yueh.ting.chen@gmail.com>
Signed-off-by: Matthew Bonanni <mbonanni@redhat.com>
Co-authored-by: Matthew Bonanni <mbonanni@redhat.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
(cherry picked from commit 73c7cae4d746f64c22677348d1cc120eea6f7439)

* [Bugfix][Core] Fix mamba prefill checkpoint block reservation and prompt-end eviction in align mode (#59175)

Signed-off-by: kliuae <kuanfu.liu@embeddedllm.com>
Co-authored-by: Nick Hill <nickhill123@gmail.com>
(cherry picked from commit 7e583e615c20ee4ff0cd82aac592c7d6310aa7c3)

* [Core] Include the LoRA path in prefix-cache block hashes (#59335)

Signed-off-by: Nick Hill <nickhill123@gmail.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
(cherry picked from commit c055c1e075ed461cff922aa710d387281f651940)

* [Perf][PP] Skip sampled-token broadcasts whose requests leave the engine (#58542)

Signed-off-by: LostFox11 <wangziyue17@huawei.com>
Signed-off-by: Nick Hill <nickhill123@gmail.com>
Co-authored-by: LostFox11 <wangziyue17@huawei.com>
Co-authored-by: Nick Hill <nickhill123@gmail.com>
(cherry picked from commit 7314360c9eebb3b4b460ec49f6606ef0a08fcae2)

* [CPU][Zen] Add DA8W4 (W4A8) int4 support for dense and MoE layers (#54024)

Signed-off-by: R <Ganesh.R@amd.com>
Signed-off-by: Ganesh R <Ganesh.R@amd.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
(cherry picked from commit e12291d7332db897885fdc0e6ed61b28c969d743)

* [Model Runner V2] Support randomized dummy inputs (#58411)

Signed-off-by: Robert Shaw <robshaw@redhat.com>
Co-authored-by: Robert Shaw <robshaw@redhat.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
Co-authored-by: Nick Hill <nickhill123@gmail.com>
(cherry picked from commit e5e38ba9b7d18f9746d989e389a51a94b0f96f6f)

* [Bugfix][HiSparse] Fix a chunked-prefill preemption livelock (#59494)

Signed-off-by: Matthew Bonanni <mbonanni@redhat.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
(cherry picked from commit 3a6963664537ed21172e2ec12e96e3a2dcd3718c)

* [Bugfix][HiSparse] Size the KV cache from the groups HiSparse allocates (#59450)

Signed-off-by: Matthew Bonanni <mbonanni@redhat.com>
Signed-off-by: Lucas Wilkinson <lwilkins@redhat.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
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(cherry picked from commit f7999d2e4489126f1c21868699f3890021f01b73)

* [Bugfix][HiSparse] Fix MTP acceptance collapse under FULL graphs with a saturated GPU pool (#59309)

Signed-off-by: Lucas Wilkinson <lwilkinson@neuralmagic.com>
Signed-off-by: Matthew Bonanni <mbonanni@redhat.com>
Co-authored-by: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Co-authored-by: Matthew Bonanni <mbonanni@redhat.com>
(cherry picked from commit 4056c8ac1f8a7e8fb50cf1c56ff96649fcadccc6)

* [CI] Drop a test that depends on #57930 from the #59309 backport

Resolving the #59309 cherry-pick conflict in
tests/v1/kv_connector/unit/test_hisparse_connector.py pulled in
test_scheduled_prefix_hit_publishes_adopted_copies from #57930, which is
not on this branch; it imports _allocate_scheduled from
tests.v1.core.test_prefix_caching and fails on every platform. After this
change the file matches the upstream #59309 diff.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: khluu <khluu000@gmail.com>

* [Bugfix] Fix minimax-m3 multimodal processor compatability with Transformers v5.18 (#59613)

Signed-off-by: Isotr0py <Isotr0py@outlook.com>
(cherry picked from commit b558f160a2c0abcb5902acc3c91a14c38a4af173)

* [Misc] Add Transformers version upper bound in requirements (#59614)

Signed-off-by: Isotr0py <Isotr0py@outlook.com>
Co-authored-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
(cherry picked from commit 58b3298457dde7b4554b3b4e20b238c0ac2c3a65)

* Forward-port the tkv/turbo-attn vLLM seam onto upstream v0.31.0

Squashes arbicity/vllm-turbo main @969c125e9 (upstream v0.28.0 + the seam:
b0a14f2eb #28, 76a3e6d72, 6d4c75611 #29) into one commit and replays it onto
upstream v0.31.0 (db9527a46, the commit vllm/vllm-openai:v0.31.0 is built
from) as a 3-way merge against the real base.

Upstream's v0.29-v0.31 KV-cache layout refactor (vllm#51718 and follow-ups)
replaced the allocator the seam patched: one backing allocation, per-layer
[B, H, N, C] views placed by the engine, page geometry read off the spec, and
AttentionBackend.customize_spec applied to every layer's spec by both model
runners. The seam is re-expressed on that and shrinks from 49 files to 18.

Kept (re-applied on upstream's structure):
  - plugin KV-cache dtype registry; --kv-cache-dtype choices/type
  - TURBO_ATTN backend slot (now a distinct enum value: two None members
    made CUSTOM an alias of TURBO_ATTN), turbo-attn spelling, auto-default
    for plugin dtypes (#29), CUDA candidate once registered
  - lifecycle hooks on_model_loaded / on_draft_model_loaded /
    on_kv_cache_initialized / adjust_kv_budget, fail-loud dispatch to every
    backend in use
  - MLA wrapping in the selector; MLA chunked-context _get_gather_op
  - _tq_layer_idx injection for tkv layers
  - aggregated_layer_count: fused (composite) pages, now one shared page
    per fused set in upstream's single-allocation planner

Moved to upstream's extension points (turbo-attn plugin side):
  - get_kv_cache_spec_class (Attention, MLAAttention, hybrid alignment)
    -> AttentionBackend.customize_spec
  - KVCacheSpec.get_manager_class -> KVCacheSpecRegistry MRO lookup
  - get_supported_kv_cache_dtypes -> supported_kv_cache_dtypes ClassVar
  - get_kv_cache_shape(kv_cache_spec=...) passthrough and the
    backend-managed-dtype shape coercion -> spec-driven views

Dropped:
  - spec_decode_warmup.py: upstream registers the same kernels with its JIT
    warmup registry (aed894c19, vllm#56323)
  - turbo_attn_warmup.py, utils/cutedsl_cache.py: superseded by turbo-attn's
    own prefill prewarm (on_kv_cache_initialized) and CuTeDSL cache
  - per-group BlockPools, sampler reserve, padded-page block fill, drain
    hook / on_kv_manager_created, KVBlockZeroer clamp: conflict with
    upstream's single-pool allocator; no turbo-attn consumer for the hooks
  - rotary fast-path registry: upstream guards the import (1f60771c7,
    vllm#42679)
  - --kv-cache-dtype-skip-layers-dtype, VLLM_KV_CACHE_SKIP_LAYERS_DTYPE,
    Triton fused fp8 GEMM hook, gsm8k startup waits, notify-turbo-attn
    workflow, draft-backend inheritance: unused or superseded
  - FA2 varlen paged split-K patch: never reached the overlay image (the
    image installs no compiled _vllm_fa2_C) and the FA pin moved

PROTOCOL.md rewritten for the v0.31.0 seam.

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

---------

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arbi-dev added a commit to arbicity/vllm-turbo that referenced this pull request Oct 7, 2026
* [Bugfix][XPU] store the pointer raw bit pattern instead of its numeric value (#54514)

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* Revert "[DSpark] Support pipeline-parallel targets in aggregated serving (#56956)" (#58484)

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* [ROCm] Fix misrouting race-condition in multi-decode P/D disagg with mori-io (#51681)

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* [Bugfix][Outlines] Fix EOS termination and unconstrained masks after rejected drafts (#58612)

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* [XPU][CI] enable prompt embeds tests on XPU (#58283)

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* [CI] Report to CRCR after all jobs finish, gated on the build's long pole (#58628)

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* [BUGFIX] fix ovis2_5 multimodal tokens (#52623)

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* [Bugfix] Stop leaking the internal field name in the max_tokens validation error (#58336)

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* [Bugfix][KV Cache][MLA] Align packed block strides for V3.2 sparse MLA (#55528)

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* [CI] Shard (H100) Helion Kernels five ways (#58645)

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* [Perf][MRV2] Reuse Mamba/GDN metadata across KV cache groups (#58762)

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* [Bugfix] Fix the two multimodal root tests that fail on main (OpenPangu-VL embed merge, MiMo sink test fixture) (#58900)

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* [Benchmark] Add Responses API backend to vllm bench serve (#54628)

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* [CI] Allowlist-shrink batch 1: wire 17 root-level tests + drop 5 stale watermarking entries into misc.yaml (#58055)

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* [CPU] Use accelerator memory API in DiffusionGemma (#58964)

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* [CPU] Add video inferencing via torchcodec on s390x (#58693)

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* [Skills] Update kernel-microbenchmark to include ROCm (#58646)

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* [Misc] Name each backend and its kernel block sizes in block-size errors (#58557)

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* [CI] Shard (H200 MIG 35GB / MI355 DPX) Entrypoints Integration (Pooling) into named jobs (#58652)

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* [CI] Split Dynamic Shapes out of (H200 MIG 35GB) PyTorch Compilation + (MI300) mirror (#58451)

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* [Bugfix][Qwen4Exp] Release the profiling KV cache held by QSA key views (#58961)

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* [CPU] Include vLLM Recipes tooling in release image to deploy models using vLLM Recipes (#58796)

Signed-off-by: louie-tsai <louie.tsai@intel.com>

* Revert "[CI] Shard (H200 MIG 35GB / MI355 DPX) Entrypoints Integration (Pooling) into named jobs (#58652)" (#59011)

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* [Perf][Qwen4Exp] Fuse HC down projection and SiLU on NVIDIA (#58957)

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* [Bugfix][Model] Gemma4: register aliased embedding scalars as buffers (#54213)

Signed-off-by: Yannick Schnider <Yannick.Schnider1@ibm.com>

* [Bugfix][Spec Decode] Implement get_top_tokens() on the ROCm DeepSeek V4 MTP drafter (#57568)

Signed-off-by: BaoYunkai <ybao@amd.com>

* [Perf][Qwen3.8] Reduce PLE metadata construction overhead (#58114)

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* [ROCm][Refactor] Move DeepSeek-V4/V4.1 multi-stream overlap gate to ROCm platform (#58983)

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* [Multimodal] Avoid extra d2d for encoder cudagraph with fused input norm (#56711)

Signed-off-by: Isotr0py <Isotr0py@outlook.com>

* [Bugfix][Logging] Preserve application log record factories (#58747)

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* [Bugfix] Use the correct repository revision for secondary artifact loaders (#57461)

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* [ROCm][Perf] Kimi-K3 Enable sharded latent MoE up-projection under EP (#54956)

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* [Feature] Add fixed-token prefill scoring (#54335)

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* [LoRA] Support variable num_labels for sequence classification (#57766)

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* [ROCm][Perf] Replace torch.topk in DSA candidate block selection (#58208)

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* [ROCm]Keep LMCache OpenTelemetry on the image's 1.40 stack (#59056)

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* [Bugfix][Kimi-K3] Refresh DSpark context KV cache pointers after the KV cache is re-bound (#58814)

Signed-off-by: Oxana Korzh <okorzh@amd.com>
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* [KVConnector][NIXL] Support packed MLA KV layouts in pipeline-parallel push prefill (#50499)

Signed-off-by: zixi-qi <zixi@inferact.ai>

* [Quant] Use canonical N-first weight format for CT WNA16 MoE (#52798)

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* [CI][Bugfix] Relax packed_qk_rope_ correctness test to one ULP (#59008)

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* [ROCm][CI] Pin OpenTelemetry to LMCache's cap in the ROCm images (#59051)

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* [ROCm][CI] Increase timeout for Entrypoints Unit (#59076)

Signed-off-by: Djordje Ramic <djoramic@amd.com>
Co-authored-by: Andreas Karatzas <akaratza@amd.com>

* [ROCm][MLA] Add an AITER ASM round-robin decode route for DCP multi-token verify (#56861)

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

* [Bugfix] Don't sync-police or retry FlashInfer all-reduce workspace creation in eager mode (#58498)

Signed-off-by: khluu <khluu000@gmail.com>
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* [Bugfix] Fix resumable request + async scheduling handoff race (#58259)

Signed-off-by: Yifan Zong <yzong@redhat.com>

* [Model Runner V2][Spec Decode] Support spec decode with draft model (#43091)

Signed-off-by: Icey <1790571317@qq.com>
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* [Perf][MRV2] Allow FULL decode graphs for one-token prompt tails (#58400)

Signed-off-by: Nick Hill <nickhill123@gmail.com>
Co-authored-by: Nicolò Lucchesi <nicolo.lucchesi@mistral.ai>
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* [Bugfix][Scheduler] Preserve logprobs across streaming continuations (#57447)

Signed-off-by: 0xsensei <prblmslvr.aditya@gmail.com>

* [Mypy] Fix mypy typing for Voxtral and vision models (#58251)

Signed-off-by: Ashraf Bhuiyan <mbhuiyan@redhat.com>
Co-authored-by: Wentao Ye <44945378+yewentao256@users.noreply.github.com>

* [Core] Rework scheduler `skipped_waiting` queue (#58947)

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* [Bugfix][MRV2][Spec Decode] Reject draft slots that were never proposed (#58784)

Signed-off-by: zixi-qi <zixi@inferact.ai>
Co-authored-by: Claude <noreply@anthropic.com>
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* [ROCm][CI] Add missing test coverage for upstream parity (#50519)

Signed-off-by: Andreas Karatzas <akaratza@amd.com>
Signed-off-by: Stefan Koncarevic <Stefan.Koncarevic@amd.com>
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* [Bugfix][Scheduler] Refresh max tokens for streaming continuations (#57676)

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

* [Perf][Spec Decode] Avoid triton recompiles in the acceptance estimator (#57107)

Signed-off-by: Giancarlo Delfin <gdelfin@inferact.ai>
Co-authored-by: Woosuk Kwon <woosuk@inferact.ai>

* [CI/Build] Skip the snapshot runtime on CUDA 12.x images (#59118)

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(cherry picked from commit aedaba8664f67d8ae1538e5e5cec2b1ce3f258dd)

* [XPU][CI]Skip test_abort_timeout_on_prefiller in nightly (#58307)

Signed-off-by: zengxian <xiangdong.zeng@intel.com>
Co-authored-by: Kunshang Ji <kunshang.ji@intel.com>
(cherry picked from commit 09c47db1ca080793dc2351144cb39513fd7984ca)

* [Bugfix][Engram] Keep THP tables private when resolving shared memory (#59068)

Signed-off-by: Ren Yuzhou <54501155+yuzhouo7@users.noreply.github.com>
Co-authored-by: Claude <noreply@anthropic.com>
(cherry picked from commit ec5e0c352f079c2cb8f46752fd0317a2745050bf)

* [ROCm][CI] Expand MI355 mirrors and route MIG-sized jobs to DPX (#59137)

Signed-off-by: Andreas Karatzas <andreas.karatzas@protonmail.com>
(cherry picked from commit 6ebb5bd64f5ef75dbe1471ee88c009003b3d03ec)

* [Bugfix][Mamba] Keep the prompt-end prefill checkpoint under sparse retention (#59146)

Signed-off-by: Jared Wen <jaredwen@inferact.ai>
Co-authored-by: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Co-authored-by: Jiangyun Zhu <riverclouds.zhu@qq.com>
(cherry picked from commit d882bddbeab6b4a0d5861dfcb171bf61ce2109d6)

* [Core][BugFix] Tag prefix-cache extra keys by source (#51899)

Signed-off-by: Nick Hill <nickhill123@gmail.com>
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(cherry picked from commit 765872e7ed5b6f372f0898a67e48d3365fa28139)

* [Bugfix][Frontend] Reject LoRA adapters named after a served model (#59286)

Signed-off-by: Nick Hill <nickhill123@gmail.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
(cherry picked from commit 105a4e097b905127b1d5f09a7e93bd1095e87a6c)

* [Dependency] Upgrade FlashInfer to 0.7.0.post1 (#59323)

Signed-off-by: wzhao18 <wzhao18.sz@gmail.com>
(cherry picked from commit 678baf53724e06cef7f07628ae8fd4cc6c96f11a)

* [Bugfix][HiSparse] Resolve MTP verification rows with a union residency kernel (#59235)

Signed-off-by: Matthew Bonanni <mbonanni@redhat.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
(cherry picked from commit 2798f668608155bc8a8c74cb97e3ddd0d3053085)

* [Bugfix][HiSparse] Never allocate GPU pages without host backing (#59036)

Signed-off-by: Lucas Wilkinson <lwilkins@redhat.com>
Signed-off-by: Matthew Bonanni <mbonanni@redhat.com>
Co-authored-by: Matthew Bonanni <mbonanni@redhat.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
(cherry picked from commit 90e13fc757cffc11b55689d9cc33d844d9606516)

* [CPU][Whisper] Support W4A16 quantized Whisper on the CPU WNA16 kernel (#58268)

Signed-off-by: Harshal Adhav <harshal.adhav@amd.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Li, Jiang <jiang1.li@intel.com>
(cherry picked from commit 5faf81a4297921c699f9aa58f9c6395e95ede718)

* [Core] Bound UniProc EngineCore startup threads to available CPUs (#58946)

Signed-off-by: Andreas Karatzas <andreas.karatzas@protonmail.com>
(cherry picked from commit 866fa130fac1e1252330a680fbed45ad05eba64f)

* [KV-Offloading][TP] : Expand replicated_layout detection to multi-group MLA  (#57652)

(cherry picked from commit 5463fe4962785cdc3383477bf3af6533e7647dfd)

* [Bugfix][HiSparse] Preserve host prefix publication after request completion (#59007)

Signed-off-by: Yueh-Ting Chen <yueh.ting.chen@gmail.com>
Co-authored-by: Matthew Bonanni <mbonanni@redhat.com>
(cherry picked from commit ff1b87cca25690fef6bd12667fd0d26690d949af)

* [Bugfix][HiSparse] Adopt GPU prefix copies after the hit's allocation (#59282)

Signed-off-by: Matthew Bonanni <mbonanni@redhat.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
(cherry picked from commit 3eb6cec22ad9bb098393021b956feaa97081fc85)

* [Bugfix][HiSparse] Stop the host pool feeding device KV cache residency metrics (#58725)

Signed-off-by: Yueh-Ting Chen <yueh.ting.chen@gmail.com>
Signed-off-by: Matthew Bonanni <mbonanni@redhat.com>
Co-authored-by: Matthew Bonanni <mbonanni@redhat.com>
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(cherry picked from commit 73c7cae4d746f64c22677348d1cc120eea6f7439)

* [Bugfix][Core] Fix mamba prefill checkpoint block reservation and prompt-end eviction in align mode (#59175)

Signed-off-by: kliuae <kuanfu.liu@embeddedllm.com>
Co-authored-by: Nick Hill <nickhill123@gmail.com>
(cherry picked from commit 7e583e615c20ee4ff0cd82aac592c7d6310aa7c3)

* [Core] Include the LoRA path in prefix-cache block hashes (#59335)

Signed-off-by: Nick Hill <nickhill123@gmail.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
(cherry picked from commit c055c1e075ed461cff922aa710d387281f651940)

* [Perf][PP] Skip sampled-token broadcasts whose requests leave the engine (#58542)

Signed-off-by: LostFox11 <wangziyue17@huawei.com>
Signed-off-by: Nick Hill <nickhill123@gmail.com>
Co-authored-by: LostFox11 <wangziyue17@huawei.com>
Co-authored-by: Nick Hill <nickhill123@gmail.com>
(cherry picked from commit 7314360c9eebb3b4b460ec49f6606ef0a08fcae2)

* [CPU][Zen] Add DA8W4 (W4A8) int4 support for dense and MoE layers (#54024)

Signed-off-by: R <Ganesh.R@amd.com>
Signed-off-by: Ganesh R <Ganesh.R@amd.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
(cherry picked from commit e12291d7332db897885fdc0e6ed61b28c969d743)

* [Model Runner V2] Support randomized dummy inputs (#58411)

Signed-off-by: Robert Shaw <robshaw@redhat.com>
Co-authored-by: Robert Shaw <robshaw@redhat.com>
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(cherry picked from commit e5e38ba9b7d18f9746d989e389a51a94b0f96f6f)

* [Bugfix][HiSparse] Fix a chunked-prefill preemption livelock (#59494)

Signed-off-by: Matthew Bonanni <mbonanni@redhat.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
(cherry picked from commit 3a6963664537ed21172e2ec12e96e3a2dcd3718c)

* [Bugfix][HiSparse] Size the KV cache from the groups HiSparse allocates (#59450)

Signed-off-by: Matthew Bonanni <mbonanni@redhat.com>
Signed-off-by: Lucas Wilkinson <lwilkins@redhat.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
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(cherry picked from commit f7999d2e4489126f1c21868699f3890021f01b73)

* [Bugfix][HiSparse] Fix MTP acceptance collapse under FULL graphs with a saturated GPU pool (#59309)

Signed-off-by: Lucas Wilkinson <lwilkinson@neuralmagic.com>
Signed-off-by: Matthew Bonanni <mbonanni@redhat.com>
Co-authored-by: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Co-authored-by: Matthew Bonanni <mbonanni@redhat.com>
(cherry picked from commit 4056c8ac1f8a7e8fb50cf1c56ff96649fcadccc6)

* [CI] Drop a test that depends on #57930 from the #59309 backport

Resolving the #59309 cherry-pick conflict in
tests/v1/kv_connector/unit/test_hisparse_connector.py pulled in
test_scheduled_prefix_hit_publishes_adopted_copies from #57930, which is
not on this branch; it imports _allocate_scheduled from
tests.v1.core.test_prefix_caching and fails on every platform. After this
change the file matches the upstream #59309 diff.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: khluu <khluu000@gmail.com>

* [Bugfix] Fix minimax-m3 multimodal processor compatability with Transformers v5.18 (#59613)

Signed-off-by: Isotr0py <Isotr0py@outlook.com>
(cherry picked from commit b558f160a2c0abcb5902acc3c91a14c38a4af173)

* [Misc] Add Transformers version upper bound in requirements (#59614)

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Co-authored-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
(cherry picked from commit 58b3298457dde7b4554b3b4e20b238c0ac2c3a65)

* Forward-port the tkv/turbo-attn vLLM seam onto upstream v0.31.0

Squashes arbicity/vllm-turbo main @969c125e9 (upstream v0.28.0 + the seam:
b0a14f2eb #28, 76a3e6d72, 6d4c75611 #29) into one commit and replays it onto
upstream v0.31.0 (db9527a46, the commit vllm/vllm-openai:v0.31.0 is built
from) as a 3-way merge against the real base.

Upstream's v0.29-v0.31 KV-cache layout refactor (vllm#51718 and follow-ups)
replaced the allocator the seam patched: one backing allocation, per-layer
[B, H, N, C] views placed by the engine, page geometry read off the spec, and
AttentionBackend.customize_spec applied to every layer's spec by both model
runners. The seam is re-expressed on that and shrinks from 49 files to 27.

Kept (re-applied on upstream's structure):
  - plugin KV-cache dtype registry; --kv-cache-dtype choices/type
  - TURBO_ATTN backend slot (now a distinct enum value: two None members
    made CUSTOM an alias of TURBO_ATTN), turbo-attn spelling, auto-default
    for plugin dtypes (#29), CUDA candidate once registered
  - lifecycle hooks on_model_loaded / on_draft_model_loaded /
    on_kv_cache_initialized / adjust_kv_budget, fail-loud dispatch to every
    backend in use
  - MLA wrapping in the selector; MLA chunked-context _get_gather_op
  - _tq_layer_idx injection for tkv layers
  - aggregated_layer_count: fused (composite) pages, now one shared page
    per fused set in upstream's single-allocation planner
  - per-group KV pool for hybrid models, re-expressed on v0.31's single
    backing allocation: the O(1) Mamba/GDN state groups get their own
    BlockPool sized for max_num_seqs, a region of the allocation after the
    attention pool; their pages are not unified with attention pages;
    per-pool admission, events and usage; CoW copies and warmup/profiling
    block ids per pool; VLLM_SAMPLER_RESERVE_MIB headroom

Moved to upstream's extension points (turbo-attn plugin side):
  - get_kv_cache_spec_class (Attention, MLAAttention, hybrid alignment)
    -> AttentionBackend.customize_spec
  - KVCacheSpec.get_manager_class -> KVCacheSpecRegistry MRO lookup
  - get_supported_kv_cache_dtypes -> supported_kv_cache_dtypes ClassVar
  - get_kv_cache_shape(kv_cache_spec=...) passthrough and the
    backend-managed-dtype shape coercion -> spec-driven views

Dropped:
  - spec_decode_warmup.py: upstream registers the same kernels with its JIT
    warmup registry (aed894c19, vllm#56323)
  - turbo_attn_warmup.py, utils/cutedsl_cache.py: superseded by turbo-attn's
    own prefill prewarm (on_kv_cache_initialized) and CuTeDSL cache
  - padded-page block fill (the split pool removes the page unification
    it worked around), drain hook / on_kv_manager_created, KVBlockZeroer
    clamp: no turbo-attn consumer
  - rotary fast-path registry: upstream guards the import (1f60771c7,
    vllm#42679)
  - --kv-cache-dtype-skip-layers-dtype, VLLM_KV_CACHE_SKIP_LAYERS_DTYPE,
    Triton fused fp8 GEMM hook, gsm8k startup waits, notify-turbo-attn
    workflow, draft-backend inheritance: unused or superseded
  - FA2 varlen paged split-K patch: never reached the overlay image (the
    image installs no compiled _vllm_fa2_C) and the FA pin moved

PROTOCOL.md rewritten for the v0.31.0 seam.

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

---------

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