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Final validation update:
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Carried forward from image layer v17 (= vllm-project#49675, still OPEN upstream). With a KV connector configured and async scheduling on — both default — defer_block_free is set, and preemption parks a victim's blocks in deferred_frees behind a step fence instead of returning them to the pool. The allocation-retry loop then re-reads an unchanged free-block count after every preemption, so its only exit is evicting the entire running tail. Root cause of the K3 c=64 CPU-offload collapse. The guard peeks the policy-selected victim, and if its blocks cannot be reclaimed this step, breaks the retry instead of preempting for no gain. Merged by hand against upstream's newer index-based victim removal, which also fixes a loop-cursor bug (victim_index < req_index). Both changes are kept: peek -> guard -> upstream's removal.⚠️ NEVER VALIDATED ON HARDWARE. Source analysis only; see Dockerfile.v17.
Async scheduling with a KV-consumer connector defers request block frees until the corresponding output step has been processed. The running-request allocation retry loop could nevertheless preempt a policy-selected victim whose blocks were still behind that fence. Since that preemption could not satisfy the retry, the loop could cascade through the running queue without making usable KV capacity available. Reuse the deferred-free predicate in a small helper and stop the current retry before mutating the running queue or scheduling budget when the selected victim must still be deferred. The trigger stays runnable and can retry after output processing drains the deferred frees. This is deliberately scoped to the predictable deferred-free case: it does not change FCFS or PRIORITY victim selection, weaken the output-safety fence, or claim to detect every possible zero-delta block free. The trade-off is that the scheduler can leave capacity unused for one step instead of scanning for a different victim; broader victim-selection policy belongs in a separate RFC. Signed-off-by: LearningMachine621 <147347705+LearningMachine621@users.noreply.github.com> Co-authored-by: Claude
Extend the existing deferred-block-free scheduler tests with deterministic FCFS and PRIORITY cases. Each case injects exactly one allocation failure while delegating every other call to the real allocator. Before the output fence advances, assert that the selected victim is not preempted and the running queue is unchanged. After processing the real in-flight outputs, inject the same one-shot failure and assert that the victim is preempted and the trigger is successfully scheduled by the real allocator. The PRIORITY case also covers a victim before the trigger in the running queue and verifies that a later request is not skipped when the cursor moves. Signed-off-by: LearningMachine621 <147347705+LearningMachine621@users.noreply.github.com> Co-authored-by: Claude
Configure FCFS and PRIORITY through the existing scheduler test helper instead of rewriting scheduler queues after construction. Assert the fence stop and resumed allocation through SchedulerOutput while retaining allocator call-count checks for one-shot fault injection. Production scheduler code is unchanged from the GPU-tested head 8299eff. Signed-off-by: LearningMachine621 <147347705+LearningMachine621@users.noreply.github.com> Co-authored-by: GPT
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Maintainer handoff after the 2026-08-26 refresh:
The latest |
Signed-off-by: Nick Hill <nickhill123@gmail.com>
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@LearningMachine621 thank you for this fix and sorry for the delay in reviewing!
I made a small modification to change the method name for clarity.
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✅ @LearningMachine621, CI is now available for this PR.
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/ci run |
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✅ Triggered Buildkite CI #88187 for commit |
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✅ Triggered Buildkite CI #88198 for commit |
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✅ Triggered Buildkite CI #88214 for commit |
Carried forward from image layer v17 (= vllm-project#49675, still OPEN upstream). With a KV connector configured and async scheduling on — both default — defer_block_free is set, and preemption parks a victim's blocks in deferred_frees behind a step fence instead of returning them to the pool. The allocation-retry loop then re-reads an unchanged free-block count after every preemption, so its only exit is evicting the entire running tail. Root cause of the K3 c=64 CPU-offload collapse. The guard peeks the policy-selected victim, and if its blocks cannot be reclaimed this step, breaks the retry instead of preempting for no gain. Merged by hand against upstream's newer index-based victim removal, which also fixes a loop-cursor bug (victim_index < req_index). Both changes are kept: peek -> guard -> upstream's removal.⚠️ NEVER VALIDATED ON HARDWARE. Source analysis only; see Dockerfile.v17. (cherry picked from commit 19a2c1a)
… frees (vllm-project#49675) Signed-off-by: LearningMachine621 <147347705+LearningMachine621@users.noreply.github.com>
## What this PR does / why we need it? Enable GLM-5.2 DSpark + pipeline parallelism in Model Runner V2 while supporting both released and mainline vLLM builds. | Paired vLLM version | Speculative PP implementation | | --- | --- | | 0.28.x / 0.29.x | Install the vLLM 0.30 PP sampled-token protocol (pure-function participation gate, immediate broadcasts, receive-side generation-counter filtering) onto the release PPHandler. This replaces the legacy deferred-broadcast transport that deadlocked under KV saturation with async EPLB. Delete once the paired vLLM ships the protocol natively. | | 0.30+ | Use upstream PP initialization, draft broadcast, request-state writeback, and aux relay natively. No Ascend protocol patches are installed. | - Centralize version selection in `pp_utils.use_legacy_spec_pp()`. All call sites are annotated with the retirement condition. - Add GLM to the DSpark PP support map. On the native path, connect its DeepSeekV2 decoder to the upstream `EagleModelMixin` slot bookkeeping and capability check. - Capture aux states on the stage producing them, including `end_layer`, so a boundary state is transmitted exactly once. Dual-path support: legacy `pp_transport` buffers (0.28/0.29) and upstream relay (0.30+). - Construct the Ascend speculator only on the last PP rank on both paths. - Mask the target's manual PP partition during DSpark draft loading on both paths, restoring it even on exceptions. - Retain GLM's local MoE layer count for MRV2+PP EPLB maps. - DeepseekV2 MLA attention init with Ascend IndexCache and top-k skip-pattern support. > **Note for 0.28/0.29 release trains:** when using this feature at high load, backport vllm-project/vllm#49675 (~19-line scheduler check that stops zero-progress preemption cascades for deferred KV frees). Without it, KV saturation with async EPLB triggers a preemption storm and potential engine stall. ## Does this PR introduce any user-facing change? GLM-5.2 DSpark can use MRV2 PP with either supported release lane or the upstream PP implementation. No new switches or environment variables are introduced. For the previously tested GLM-5.2 W4A8 + EPLB configuration, use `additional_config.enable_fused_mc2=1` to avoid the independently identified non-fused grouped-matmul bias-list issue. ## How was this patch tested? ### Hardware validation (169 server, 16× Ascend 910B) **vLLM 0.30 (upstream protocol, `84030bbe3`)** | Test | Config | Result | | --- | --- | --- | | GPQA full 198 questions | c24, u0.85, mns12, KV pool 365K | **176/198 = 88.89%**, 0 failures, 0 stalls, 40 preemptions | | GPQA c32 partial | c32, u0.80, KV pool 306K | 109/198 before voluntary stop, 0 failures, 95 preemptions | **vLLM 0.28 + this PR's protocol + #49675 backport** | Test | Config | Result | | --- | --- | --- | | GPQA partial (terminated at 97/198) | c32, u0.80, KV pool 306K, async EPLB | **91/99 = 91.92%** on completed questions, 0 failures, **0 stalls** (vs. deadlocks without fix), 78 preemptions | | Same-question comparison vs 0.30 | — | 91.92% vs 91.92% (exact match), 94.95% per-question answer agreement | **vLLM 0.29 legacy protocol (before this PR's fix, for reference)** | Test | Config | Result | | --- | --- | --- | | GPQA c32 (stalled) | c32, u0.80, KV pool 306K, async EPLB | Deadlocked at 66/198, 44,202 preemptions, 20+ min zero-progress stall | ### CPU tests - **143 pytest cases passed**: version routing, partition restoration, draft-loader isolation, PP2/PP4 aux equivalence to unpartitioned execution, V1 setter preservation, local EPLB layer counts, protocol broadcast ordering and purity, model-runner/PCP regressions. ### Smoke test (169 native path) GLM-5.2 W4A8, PP2×DP2×TP4, DSpark7, async scheduling, prefix cache, chunked prefill, EPLB. Loading, single request, and 10 concurrent requests all pass with correct outputs. - vLLM main: vllm-project/vllm@84030bb Signed-off-by: LostFox11 <wangziyue17@huawei.com> Co-authored-by: LostFox11 <wangziyue17@huawei.com>
…d async results Under vLLM async scheduling with a consumer-role connector the 0.28.1 scheduler defers block frees but keeps preempting down the running list, so preemption counts are ~10x the baseline (fixed upstream in vllm-project/vllm#49675). Correctness held in both transfer modes.
With a consumer-role connector vLLM defers block frees to the end of the in-flight step under --async-scheduling, so preemption takes a different path and deserves its own matrix entry. The methodology needs no changes: the low-concurrency rungs still see exactly zero preemptions, so the bound that makes them a valid reference holds in both modes. Measured on Qwen3-14B over 99 ShareGPT requests, every rung reproduces its reference in both modes, and the sync and async references agree with each other, so scheduling mode does not change the answers. What does change is the preemption count on the preempting LMCache rung: about the same as the baseline under sync scheduling, roughly five times as often under async (308 against 60). That is the vLLM scheduler preempting victims whose deferred frees make their blocks unusable, so one shortfall cascades; fixed upstream in vllm-project/vllm#49675. Wall time was not materially affected. Recorded in the design doc so the numbers can be read against the pinned vLLM.
Fixes #49674
Scope
This PR fixes one known zero-progress transition in the running-request
allocation retry. It does not change the deferred-free safety fence, model
output semantics, or FCFS/PRIORITY victim-selection policy.
Change
The scheduler now uses the existing deferred-free conditions through one
predicate. Before mutating the running queue, it applies that predicate to the
victim already selected by FCFS/PRIORITY. If the victim's free is fenced, the
current allocation retry stops. After output processing advances the fence,
the normal preemption/allocation path remains available.
The predicate names the known deferred path. It does not claim that every
immediate free must increase the pool; shared references and other pins remain
outside this patch.
Correctness boundary
before its in-flight write is processed.
transition, or preemption accounting.
path advances the fence and restores the existing
preemption/allocation path.
victim_index/req_indexcorrection is preserved.The implementation deliberately stops on the current policy-selected victim;
it does not scan for another candidate.
A-priori design trade-off
Stopping can leave the remainder of one scheduling pass unused even when a
different request might be immediately reclaimable. The possible costs are
head-of-line delay and transient under-utilization. This is the explicit,
pre-measurement trade-off for preserving current victim order in a narrow
correctness fix.
Alternative-victim scanning, capacity-aware admission, and generic checks for
other zero-delta causes are future policy questions:
separate future-policy RFC.
Validation
f25c2692fe3081bdf89b58208d6bb995b43e92f0f4341c95dfd97f34b782d900337dc37357527d428299effb6a555cbb9ae2d786a5b3d1dfd94ad3168523fb4a831d08093552f034575bd1cf6e88aeb371521360db9f11494773f262248df0bbc668a59bAt the 2026-08-26 16:36 CST refresh, upstream
mainwas2267d3b112. Therelevant scheduler/test/helper paths were unchanged from the pinned base. The
publication head produced a clean merge tree (
68dd1aacad81) with that movingmain; the production scheduler code in it is unchanged from the GPU-testedhead.
Deterministic red/green
The new case extends the existing deferred-free suite and injects exactly one
allocation failure. Before the fence advances, it asserts no preemption and
that the trigger is not scheduled. It then validates that ordinary preemption,
the real allocator, and request scheduling all resume after constructed
model-runner outputs pass through the scheduler's real output-update path.
The PRIORITY parameter forces
victim_index < req_indexto cover #49206.Here
${VLLM_CHECKOUT}is the clean checkout at the refined publication treeand
${PYTHON}is the isolated interpreter recorded in the artifact; the exactresolved paths are preserved there.
c50dfb5019b5a359f4b74cb393d13d990e4a4446:2 failed, 13 passed, 15 warnings in 17.65s as expected.
allocator call 2; the guard allows 2.
The CPU tests use upstream's existing public
facebook/opt-*IDs; network waslimited to Hugging Face metadata/config resolution, with no model weights.
Repository checks
All applicable hooks passed, including ruff, mypy, SPDX, forbidden-import, and
repository validation hooks.
Frozen pinned-base GPU experiment
The experiment uses upstream-main snapshot
f25c2692, fetched on 2026-08-26,and the official cu130 native wheel for that exact SHA. The PR changes Python
scheduler code and tests only. The non-confirmatory base preflight passed its
80/80 exact-OSL gate with 1051 preemptions; it only validates that the frozen
pressure point triggers and is excluded from the confirmatory table.
Artifact: release bundle, raw runs, environment, and checksums
Run validity
The required result is 80/80 requests, zero failures, empty errors, and exact
output length 1792 in every run.
Mechanism
The deterministic scheduler test validates the progress invariant;
preemption deltas measure the mechanism.
Workload-specific performance trade-off
All three pre-registered point-estimate bounds passed. On this frozen
workload, stop-and-wait did not lower the output-throughput point estimate;
P99 TTFT moved by +0.41% and P99 E2EL by -1.86%. Individual paired P99 TTFT
effects ranged from -11.11% to +9.21%, so these measurements characterize this
workload rather than establish a universal latency result.
The pre-specified point-estimate guardrails are fix/base ratios of at least
0.95 for output throughput and at most 1.10 for P99 TTFT and P99 E2EL. These
are descriptive workload-specific thresholds, not confidence intervals,
hypothesis tests, or a universal no-regression claim. Per-pair effects and all
raw values are included.
The three A/B scope sentinels (async off, connector off, output length 1280)
are reported separately and are not pooled with the five affected pairs:
Each sentinel is one pair, not an equivalence test. Their raw variation is why
performance interpretation is restricted to the five interleaved affected
pairs. The internal condition ID
below_onsetis not an outcome claim; thenewly reconstructed workload still triggered 666 base preemptions at OSL 1280.
Artifact contents
The artifact records the exact model revision, newly reconstructed frozen
workload and hashes, connector JSON, run order, each raw benchmark result and
Prometheus snapshot, server logs, environment/package checks, official
wheel/native comparison, aggregation code, and SHA-256 checksums. Historical
v0.24/v0.26/former-base measurements are context only and are not pooled with
this pinned-base experiment.
Non-goals and future policy
This PR does not choose a new victim when the current victim is fenced and does
not address shared-reference or connector-pin zero deltas. Those choices may
change fairness, starvation, latency, and throughput and require a separate
policy review in the
future-policy RFC.
Related work
mechanism.
nvyutwu/vllm@19a2c1a,independently carries an equivalent guard but explicitly reports no hardware
validation; it is not validation evidence here.
The 2026-08-26 16:36 CST publication search found no replacement for this
deferred-free retry guard. Exact
defer_block_free,deferred-free, andzero-progresspreemption searches returned #49674/#49675; the other resultsconcern encoder-cache retention, admission/QoS, output corruption, routed
experts, or the separate default-off #53723 LCF victim-policy proposal.
AI assistance
Claude assisted with the original implementation and tests. GPT assisted with
the current-main review, test reduction and refinement, experiment design,
harness hardening, analysis, and documentation.
On 2026-08-26 the human submitter confirmed review of every changed line and
reported result, accepted responsibility for the contribution, and approved
this disclosure. The commits retain AI
Co-authored-byattribution whereapplicable. Their
Signed-off-bytrailers separately record the human DCOsign-off; they are not AI attribution.