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Thanks @mindungil ! |
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Thanks, that makes sense. To confirm the intended design: I plan to remove scheduler-driven |
Yep! |
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Included review availability: Your plan provides up to 10 included reviews per hour; 8 remain after this review. 📝 SummarySummary by CodeRabbit
WalkthroughThe change records offload-key positions in request contexts, removes scheduler touch calls, tracks request-scoped cache access, and updates LRU and ARC policies to apply recency at request completion. Tests cover ordering, eviction, tiered transfers, reset behavior, and ARC reuse. ChangesKV cache recency and eviction
Estimated code review effort: 4 (Complex) | ~60 minutes Merge Risk: ⚪ Minimal · up to This change makes KV offload cache recency request-scoped and updates LRU/ARC eviction behavior accordingly. No merge-blocking correctness, security, availability, or data-integrity risk remains identified. Sequence Diagram(s)sequenceDiagram
participant OffloadingScheduler
participant ReqContext
participant CPUOffloadingManager
participant CachePolicy
OffloadingScheduler->>ReqContext: Record offload-key positions
CPUOffloadingManager->>ReqContext: Read request access positions
CPUOffloadingManager->>CachePolicy: Finalize grouped request access
CachePolicy-->>CPUOffloadingManager: Update LRU or ARC recency
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✨ Finishing Touches 💡 1🛠️ Fix failing CI checks 💡
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Inline comments:
In `@vllm/v1/kv_offload/cpu/manager.py`:
- Around line 255-266: Update prepare_store() to partition the original offered
keys into keys_to_store and ready_existing_keys before applying store_threshold,
ensuring ready resident keys recreated by _record_accesses() remain eligible for
reused_keys and CachePolicy.on_request_finished(). Apply the threshold only to
keys_to_store, and increment stores_skipped_in_current_batch for keys removed by
that filtering.
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tests/v1/kv_connector/unit/offloading_connector/test_scheduler.pytests/v1/kv_offload/cpu/test_manager.pytests/v1/kv_offload/tiering/test_tiering_offloading.pyvllm/distributed/kv_transfer/kv_connector/v1/offloading/scheduler.pyvllm/v1/kv_offload/base.pyvllm/v1/kv_offload/cpu/manager.pyvllm/v1/kv_offload/cpu/policies/arc.pyvllm/v1/kv_offload/cpu/policies/base.pyvllm/v1/kv_offload/cpu/policies/lru.pyvllm/v1/kv_offload/tiering/manager.py
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Follow-up design audit completed against the direction confirmed above. The current implementation removes scheduler-driven I clarified the access boundary in the PR description: accounting is scoped to keys observed by the offloading manager. A key that remains purely GPU-local and never reaches the CPU manager does not update CPU recency; speculative lookup, new writes, and internal cascade pins are not frequency hits. Revalidation remains green: 303 related unit tests (50 CPU manager, 56 tiering, 189 scheduler, 8 policy factory), plus the GPU E2E replay with 768/768 expected cached tokens and matching output. |
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This pull request has merge conflicts that must be resolved before it can be |
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Thanks @mindungil ! I went over the base.py changes and it looks good. |
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This pull request has merge conflicts that must be resolved before it can be |
Signed-off-by: mindungil <alswnsrlf12@naver.com>
Signed-off-by: mindungil <alswnsrlf12@naver.com>
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Purpose
The offloading scheduler re-touched the full cached prefix while a request was decoding. Besides doing repeated work, this made frequency-based policies such as ARC count one request as many accesses. Transfer-pinned LRU blocks also re-entered the evictable set in completion order, which could make an early prefix block the eviction victim and leave an unusable cached suffix.
Fix
touchcalls.ReqContext, including their end-token positions.on_request_finished, independently of later transfer completion order.The existing
touchAPI remains available for compatibility, and the new policy finalization hook has a default implementation for external policies.Request access accounting is scoped to keys observed by the offloading manager: ready resident keys passed through
prepare_load()orprepare_store()count once per request. A key that remains purely GPU-local and never reaches the CPU manager does not change CPU recency. New writes, speculativelookup()calls, and internal tiering cascade reads are not frequency hits.Test Plan
python -m pytest -q tests/v1/kv_offload/cpu/test_manager.py python -m pytest -q tests/v1/kv_offload/tiering/test_tiering_offloading.py python -m pytest -q tests/v1/kv_connector/unit/offloading_connector/test_scheduler.py python -m pytest -q tests/v1/kv_offload/cpu/policies/test_factory.py pre-commit run --files $(git diff --name-only origin/main...HEAD)Test Result
303 passed50 passed56 passed189 passed8 passed1/1 passed; replay observed 768 cached tokens (expected 768), and generated output matched the baseline.1970f3ed4; the PR Python changes were overlaid, with the scheduler diff applied to that image base to account for one-day API drift.AI assistance
This PR includes AI-assisted code and analysis from OpenAI Codex. I reviewed the changes and take responsibility for the contribution.
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