[Bugfix][KV Offload] Preserve reachable tails for hybrid SWA groups - #48911
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Signed-off-by: Colton Ottley <colton@ottleyengineering.com>
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Follow-up from live TP=2 validation on two independent RTX PRO 6000 Blackwell hosts using the fixed source lineage: A narrower short-prefix geometry still produces a zero external-hit result after a successful cold store and selective GPU-only reset:
Each selective-reset sequence was: reset GPU+external, cold prime, 30s no-inference drain, I attempted to reduce this to the current Operational impact is narrow (~2.2s recompute for this short geometry); longer production agent prefixes restore correctly. I’ll follow up with a direct failing regression once the first terminal group/key mismatch is captured. |
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Thanks @jasl — the clean cherry-pick and independent focused results are excellent confirmation. The The third store/protect-vs-lookup Thank you for testing the exact commit and for stating the unit-vs-live evidence boundary clearly. Your 12/12 + 141 + 223 focused results complement our TP=2 live replay evidence well. |
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LGTM! Thanks @coltonottley !
…llm-project#48911) Signed-off-by: Colton Ottley <colton@ottleyengineering.com> Co-authored-by: Colton Ottley <colton@ottleyengineering.com> Co-authored-by: Or Ozeri <oro@il.ibm.com>
…llm-project#48911) Signed-off-by: Colton Ottley <colton@ottleyengineering.com> Co-authored-by: Colton Ottley <colton@ottleyengineering.com> Co-authored-by: Or Ozeri <oro@il.ibm.com> Signed-off-by: aarushjain29 <Aarushi.Jain2@amd.com>
…llm-project#48911) Signed-off-by: Colton Ottley <colton@ottleyengineering.com> Co-authored-by: Colton Ottley <colton@ottleyengineering.com> Co-authored-by: Or Ozeri <oro@il.ibm.com> Signed-off-by: Tejas-Raj01 <rajtejas.xyz@gmail.com>
External contribution by coltonottley. Optional compact CPU KV offload layout for packed heterogeneous caches; disabled by default (kv_connector_extra_config. enable_compact_layout=true). Validated on 2x RTX PRO 6000 Blackwell TP=2, 223 tests. Reviewed (4-lens adversarial): opt-in isolation holds — the default path (compact off, PCP=1) is byte-identical; no interaction with our vllm-project#48959/vllm-project#48911 offload deltas. One compact-ON init bug (spec.py gcd page-size collapse) fixed in the following commit.
…llm-project#48911) Signed-off-by: Colton Ottley <colton@ottleyengineering.com> Co-authored-by: Colton Ottley <colton@ottleyengineering.com> Co-authored-by: Or Ozeri <oro@il.ibm.com>
Purpose
Fix CPU KV offload store pruning for hybrid sliding-window attention when:
The current store predicate retains only
sliding_window_size_in_chunksat the end of every configured alignment segment:That disagrees with lookup in two ways:
tail + 1contiguous chunks before popping the volatile trailing chunk.On DeepSeek V4 Flash with MTP2, this made native CPU offload write-only after a real GPU-cache miss: GPU→CPU stores completed, but external-prefix lookup converged to zero because required EAGLE/SWA keys had never been stored.
The fix computes each chunk's actual segment length from the current storable chunk count and retains
tail + int(is_eagle_group)chunks at that actual segment end.This interacts directly with the DeepSeek V4 + MTP path carried by @jasl in #41834. The mismatch is between the EAGLE extra-window lookup semantics from #44784 and the store-pruning predicate currently present after #48150.
Test Plan
tail + 1);git diff --check.Test Result
Result:
12 passed, 87 deselected.Changed-file Ruff format/check and
git diff --checkpass. A full scheduler-file run in the older production image is not comparable to current main: 87 existing tests fail before scheduler construction because that image's installedVllmConfigrejects the current-main fixture's explicit hybrid-KV setting. The new pure-helper selection imports current source and passes independently.Hardware validation on 2× RTX PRO 6000 Blackwell (TP=2), DeepSeek V4 Flash, MTP2, FP8 KV, 1M context, native
OffloadingConnector+ 64 GiB CPU tier:PASS_WITH_STRICT_SUPPLEMENT; one probe required a narrow supplemental rerun after a null cold final, and no wrong/unstable cold result was accepted).AI Assistance
AI assistants were used for trace analysis, implementation review, regression-test drafting, and benchmark analysis. The final source change and test evidence were independently reviewed against captured per-group OffloadKey traces and live hardware results.
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