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Co-authored-by: Codex <noreply@openai.com> Signed-off-by: bvolpato <brunocvcunha@gmail.com>
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Purpose
Deferred KV frees can make unrelated requests appear to share a prefix. Finished requests are removed from the manager's request tables while their in-flight blocks retain references. Common-prefix detection compares each block's reference count with the remaining request count, so those retained references can satisfy the equality incorrectly.
A native scheduler reproduction starts 15 requests: eight share prefix A and seven have different prefixes. Seven A requests finish while the next batch remains in flight. The eight survivors have eight distinct first-block IDs, but the scheduler reports 16 common blocks (256 tokens). MRV1 FlashAttention accepts the cascade path for this batch and uses the first request's prefix block table for the other requests.
Leave common-prefix lengths at zero while deferred frees remain. Normal detection resumes after the fences drain. The existing suite now covers unrelated survivors and the restoration of optimization for genuinely shared survivors.
Duplicate checks on 2026-09-03 found no matching open fix for
cascade deferred,cascade prefix ref, orcommon prefix refcount. Related issue #49674 and its open PR #49675 concern zero-progress preemption retries, not the common-prefix calculation or attention results.AI assistance was used for the investigation, implementation, and tests. This is a draft for human review and GPU validation.
Test Plan
The minimal regression is
test_cascade_prefix_waits_for_deferred_refs. It drives real scheduling and output processing across overlapping batches, verifies actual block identities, then drains the old batch and checks prefix detection again.Test Result
[16]instead of[0]for unrelated survivors.VLLM_TARGET_DEVICE=cpu, a local OPT configuration through the existingVLLM_TEST_DEFER_FREE_MODELoverride, and the existingskip_global_cleanupmarker applied by a temporary pytest plugin to avoid GPU allocator teardown. Scheduler and block-pool methods ran unchanged.Downsides
Cascade attention is temporarily disabled for every group while any deferred free remains, including blocks unrelated to a candidate shared prefix. Under sustained completions this may reduce optimization opportunities frequently. Throughput impact has not been measured on GPU. Separately accounting for request-owned references would permit a finer-grained optimization later.
Risk and rollback
The fallback is ordinary attention over each request's own block table. No allocation, freeing, or fence behavior changes. Reverting restores the old optimization and its incorrect-prefix risk; affected deployments can instead disable cascade attention with
--disable-cascade-attn.