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WalkthroughThe CPU offload scheduler now uses coordinator-provided group block sizes for initialization, capacity estimation, allocation accounting, eager storage selection, and stored-block metadata. Lazy target sizing applies DCP sharding only to full-attention specifications. Hybrid attention and Mamba coverage was added. ChangesKV cache block sizing
Estimated code review effort: 3 (Moderate) | ~20 minutes Merge Risk: 🔵 Low · up to This updates hybrid DCP offload geometry handling, but the new regression fixture can allocate a CPU capacity different from its requested block count. The production change is otherwise covered by the added hybrid test; align fixture capacity before merge to keep the boundary assertion reliable. Suggested reviewers: 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✨ Finishing Touches 💡 1🛠️ Fix failing CI checks 💡
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In `@vllm/v1/simple_kv_offload/manager.py`:
- Around line 230-234: Update _estimate_lazy_target_blocks() to use the
coordinator-resolved self.group_block_sizes for each cache group instead of
recomputing block_size from the specification and DCP/CP world sizes. Preserve
the existing lazy watermark calculation while honoring custom manager block
geometries.
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In `@vllm/v1/simple_kv_offload/manager.py`:
- Around line 266-270: Replace reconstructed block-size calculations with
coordinator-resolved geometry: in vllm/v1/simple_kv_offload/manager.py lines
266-270, use self.group_block_sizes[g] for lazy target sizing; at lines 880-881,
use self.group_block_sizes[primary_group_idx] for primary BlockStored metadata.
Keep both sites aligned with the manager-owned group sizes.
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In `@tests/v1/simple_kv_offload/test_scheduler.py`:
- Line 2129: Update the test setup near the existing
prefix_cache_retention_interval assignment so the cache-level
vllm_config.cache_config.mamba_cache_mode is explicitly set to "all" before
invoking the helper, ensuring MambaSpec.max_memory_usage_bytes and
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In `@tests/v1/simple_kv_offload/test_scheduler.py`:
- Line 2133: Update the fixture’s tensor allocation and cpu_capacity_bytes
calculation so the tensors consistently represent the shared allocation and
capacity is derived from num_cpu_blocks, matching
SimpleCPUOffloadScheduler._derive_cpu_config even when attention and Mamba page
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✅ @YukioZzz, CI is now available for this PR.
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✅ Triggered Buildkite AMD CI #12802 for commit |
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Use the coordinator's resolved per-group block sizes when mapping SimpleCPU offload transfers in hybrid DCP layouts. Only full attention is sharded across DCP ranks; mamba, sliding window and chunked-local specs keep replicated per-rank state and must not be scaled by the DCP world size. Scaling every group by cp_world_size mapped the replicated groups onto the wrong block geometry. Expose group_block_sizes on the coordinator so the resolved sizes have a single source, and apply it to the lazy watermark estimate too, where the same hand-rolled formula under-counted the blocks to reserve for sliding window groups. Signed-off-by: Yichao Zhu <Yichao.Zhu@amd.com>
The geometry fix makes Mamba capture and emission use the same resolved unscaled block size. Assert the resulting token slices and parent-hash chain instead of the obsolete metadata guard fallback. Signed-off-by: Yichao Zhu <Yichao.Zhu@amd.com>
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Closed, #54736 already has the commits of the current PR. |
2 participants
Purpose
SimpleCPUOffloadSchedulerreconstructs each cache group's block size asspec.block_size * cp_world_size. Only full attention is sharded across DCP ranks:dcp_world_size_for_kv_cache_spec()keeps Mamba, sliding-window and chunked-local specs atdcp_world_size=1. Scaling every group therefore maps the replicated groups onto the wrong geometry on hybrid models under DCP.Two failure modes, depending on how the group block sizes relate:
On the store side the same expression caps how many blocks of a replicated group are ever offloaded.
Changes
group_block_sizesonKVCacheCoordinatorso the resolved per-group geometry has a single source, and use it in the SimpleCPU offload load and store paths.dcp_world_size_for_kv_cache_spec()in the lazy watermark estimate, which previously under-counted the blocks to reserve for sliding-window groups. The estimate runs before the coordinator exists, so it resolves the DCP size directly rather than through the coordinator.BlockStoredevents with the resolved group block size instead of re-deriving the DCP scaling from the spec type. The previous expression special-casedMambaSpeconly and over-reportedblock_sizefor other replicated specs.Test Plan
tests/v1/simple_kv_offload/test_scheduler.pyTest Result
Unit tests: 37 passed in
tests/v1/simple_kv_offload/test_scheduler.py; 121 passed together withtests/v1/core/prefix_cache/test_partial_prefix_cache_hits.pyandtests/v1/kv_connector/unit/test_mooncake_store_scheduler.py.End to end on Kimi-K3, TP8 / DCP8, fp8 KV cache, per-rank attention and Mamba block 1536, so with DCP8 the effective attention block and the scheduler block are 12288 while Mamba stays at 1536; prefix-match unit 1536: the engine starts and serves requests. Without this change the same configuration either trips the per-group alignment assertion at start-up or maps replicated groups onto the wrong destination blocks.
Post-rebase validation (2026-09-07)
Rebased onto main
8ebc5b0a1, which includes #53614's Kimi-K3 internal checkpoint and partial-prefix changes. The only conflict was adjacent initialization inKVCacheCoordinator: the upstream Mamba/Eagle checkpoint setup and this PR's resolvedgroup_block_sizesinitialization are both preserved.Latest head:
140d7382a.Focused hybrid geometry and lazy-watermark tests:
Changed-file
ruff check,ruff format --check, Python compilation, andgit diff --checkpass. The downstream #54736 stack, which contains this commit, also passes Kimi-Linear TP2/DCP2 and Kimi-K3 TP8/DCP8 real-model correctness validation.