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[PCP][Spec Decode] Simplify PCP+MTP draft metadata handling; add DSpark support - #6
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Build the draft prefill attention metadata inside AutoRegressiveSpeculator.propose() when the drafter runs replicated under PCP, mirroring DFlash which always builds its own. This replaces the pcp_manager free function that reached into speculator internals, reverts the _build_draft_attn_metadata signature and DFlash override changes, and reduces the model_runner change to restoring the pre-hc hidden-state buffer. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Signed-off-by: Lucas Wilkinson <lwilkins@redhat.com>
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… glm-53-blog/prefiller
The replicated DFlash-family drafter already builds all of its own attention metadata inside propose(), so PCP support needs only: restore aux hidden states to the global batch layout, exempt draft layers from the CP backend compatibility check (they never run CP-sharded attention), and re-gather block tables for the global batch in propose() since the runner gathered them for the rank-local shard. Validated with GLM-5.2-FP8 + RedHatAI/GLM-5.2-speculator.dspark (k=8, cudagraph NONE): acceptance TP4 0.2716 vs TP4xPCP2 0.2952, aligned per-position decay. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Signed-off-by: Lucas Wilkinson <lwilkins@redhat.com>
Keep DCP allowed under PCP spec decode for the PCP8xDCP8 kv-producer.
Simplify draft metadata handling for PCP+MTP
Suggested simplification for vllm-project#53427, offered as a PR into this PR's branch so it can be reviewed/merged (or cherry-picked) as a whole.
What changes
Build the draft prefill attention metadata inside
AutoRegressiveSpeculator.propose(), gated on the drafter running replicated under PCP — mirroring DFlash, which always builds its own metadata inpropose(). Building at that point (afterprepare_prefill_inputshas filled the drafter's own buffers, and after the drafter's own cudagraph dispatch) makes most of the plumbing unnecessary:pcp_manager._maybe_prepare_replicated_pcp_attn, which reached intospeculator._build_draft_attn_metadatafrom outside the class.query_start_loc_gpu/seq_lensparameters threaded through_build_draft_attn_metadata: at the build point the drafter'sinput_buffersalready hold the global batch's values, so the base signature works unchanged.model_runner.pychange to inlining the pre-hc hidden-state buffer restore (+6/−1); the propose call sites are untouched.maybe_restore_pcp_hidden_state_bufferandmaybe_restore_pcp_for_speculator(the latter is dead code: PCP requires MTP, which never produces aux hidden states).Net PR footprint becomes 5 files, +232/−45 vs main (from +374/−48).
Two correctness notes on the placement:
prefill_batch_descfrom its cudagraph dispatch rather than assuming the global batch's padding matches.PCPManager.validate_configalready rejects FULL cudagraph modes, and PIECEWISE metadata lives outside the graphs.Validation (4x B300, zai-org/GLM-4.7-Flash unless noted)
pytest tests/v1/worker/test_gpu_pcp_manager.py: 2 passed.pre-commit(ruff, mypy) clean on changed files.-cc.cudagraph_mode=NONEsmoke: 7/8 prompts byte-identical to the prior validated run; the eighth is the known base-PCP greedy-degeneration prompt, where this run matches the spec-off PCP4 baseline byte-for-byte.cudagraph_mode=NONE):Accuracy within one standard error of each other; acceptance metrics aligned, consistent with the fixed-K results reported in vllm-project#53427.
DSpark support (second commit)
Because DFlash-family speculators already build all of their own attention metadata inside
propose()— the pattern the first commit adopts for MTP — extending PCP speculative decoding to DSpark needs no metadata plumbing at all, just:validate_config: admitdspark(including sparse-MLA targets with it; MTP remains dense-MLA only).propose()— the DSpark drafter reads aux layers, which are rank-local under PCP. (Inlined at the call site, mirroring the main hidden-states restore.)check_attention_cp_compatibility: the replicated drafter never runs CP-sharded attention, but its dense-attention layers resolve to backends withoutsupports_pcp()(e.g. FLASHINFER). MTP passes this check only because its draft layers are MLA like the target.propose()under PCP — the runner gathered them for the rank-local sharded batch, which silently corrupts the drafter's context-KV slot mappings (signature: per-position acceptance[50, 0, 0, 0, ...], anchor-only, with outputs still correct since verification is target-side).DSpark validation (8x B300)
GLM-5.2-FP8 (sparse-MLA DSA) +
RedHatAI/GLM-5.2-speculator.dspark, k=8,cudagraph_mode=NONE, greedy:Acceptance aligned, per-position decay matches, outputs coherent (4/8 prompts byte-identical to TP4, remainder late FP-numerics divergences of the same character as base-model TP-vs-PCP differences). Note the drafter runs eagerly under PCP since PCP caps the cudagraph mode below FULL, which is what DFlash decode graphs require.
AI assistance (Claude) was used to prepare this change.
🤖 Generated with Claude Code