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fix(attention): qualify compact NVFP4 MTP verifier route - #171

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fix(attention): qualify compact NVFP4 MTP verifier route#171
yatesdr wants to merge 3 commits into
local-inference-lab:dev/gilded-gnosisfrom
yatesdr:fix/gg-nvfp4-mtp-use-qualified-extend-20260723

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@yatesdr

@yatesdr yatesdr commented Jul 23, 2026

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Summary

Keep compact nvfp4_ds_mla MTP verification on SparkInfer's established
extend path in auto mode. Continue auto-routing the already-qualified
fp8_ds_mla verifier through decode, and preserve explicit
VLLM_B12X_MLA_SPEC_EXTEND_AS_DECODE=1 as an opt-in for further qualification.

This corrects the scope of 3e731bc0. Its new decode-verifier correctness test
uses fp8_ds_mla, while GLM-5.2 production uses the distinct compact
nvfp4_ds_mla record and BF16-QK kernel arm.

Root cause

The v20 regression is not consistent with persistent KV-byte corruption:

  • the compact-NVFP4 cache writer, dequantization primitives, established extend
    front door, and paged-indexer orchestration are executable-AST identical
    between the passing v19 stack and v20 after normalizing the B12X → SparkInfer
    namespace move;
  • DCP4 global/local position mapping is bijective through the tested 475k
    range; and
  • the four-supertile paged top-k fold at 118,750 local rows is mathematically
    equivalent to direct top-k.

The relevant execution delta is that 3e731bc0 changed the default from
extend to decode for genuine MTP verification without qualifying the compact
NVFP4 kernel arm.

Change

auto is now format-qualified:

Mode fp8_ds_mla nvfp4_ds_mla
0 extend extend
auto decode extend
1 decode decode

The policy also controls scratch sizing. At MNS16/MTP3, compact NVFP4 no longer
reserves 64 decode rows for verifier batches; it reserves the 16 rows needed by
ordinary decode. For 64 gathered heads, 32 split slots, and value width 512,
this removes at least 99.38 MiB/GPU of verifier-only scratch:

tmp_output: 96.00 MiB
tmp_lse:     0.38 MiB
output:      3.00 MiB

Ordinary one-token decode, MNS16, max model length, and KV format are unchanged.

Internal field evidence

The production comparison that motivated this patch:

  • v19 compact NVFP4 + i8_ring: 5/5 deep-needle pass at
    50k/200k/300k/350k/475k; decode baseline 165.1 aggregate tok/s at C16.
  • v20 compact NVFP4 + confirmed i8_ring + default auto route:
    pass at 50k/150k, genuine miss by 300k.
  • v20 forced-one-split decode experiment: moved the pass boundary through 300k
    but still genuinely missed at 350k/475k and reduced the measured KV pool
    from 557,824 to 525,568.

The last result is important: it falsifies the earlier hypothesis that BF16
split partials were the complete cause. Reducing splits changes the margin but
does not qualify the compact-NVFP4 decode verifier.

Needle classification captured content, reasoning_content,
finish_reason, and token usage. Values found in reasoning at 250k/300k count
as passes; the 350k/475k cases ended normally with coherent answers saying the
ticket was absent, so they are genuine retrieval misses rather than parser or
budget artifacts.

Validation

Completed without a GPU boot:

  • Python syntax compilation;
  • git diff --check;
  • unit tests added for every mode/format combination, invalid input, and
    FP8/compact-NVFP4 scratch sizing;
  • executable source proof:
    • matching compact-KV writer/reader AST hashes;
    • exhaustive DCP4 inverse mapping for [0, 475000);
    • adversarial 12,000-candidate exact-radix overflow equality;
    • production-geometry long-context top-k fold equality;
    • isolated execution of the patched route policy.

The source proof reports:

PASS: compact-NVFP4 KV writer/reader primitives are unchanged
PASS: patched route preserves fp8 auto and restores NVFP4 extend
PASS: DCP4 mapping is bijective through 475,000 positions
PASS: >4,096-candidate radix overflow fallback returns exact top-k
PASS: four-chunk 118,750-row top-k fold equals direct top-k
scratch: rows 64 -> 16 minimum recovered=99.38 MiB/GPU

The local Mac Python environment does not include pytest, so the full vLLM test
module was not collected here. The dependency-free proof executes the same
route helper directly and passed; CUDA test collection remains part of the GPU
gate.

GPU validation is still required before this should leave draft:

  1. cold needles at 50k/150k/250k/300k/350k/475k, accepting either response
    field;
  2. decode C1/C4/C8/C16;
  3. clean KV-pool measurement with diagnostics disabled; and
  4. confirmation that the route INFO line selects extend for compact NVFP4.

MadeBy561 and others added 3 commits July 22, 2026 17:11
Per-layer outer-scale calibration for nvfp4_ds_mla KV
(VLLM_NVFP4_MLA_SCALES_FILE, format v1) with an explicit default-off knob
in serve-glm52.sh. Collapses the NVFP4-vs-FP8 KV KLD gap to ~+0.008-0.009
(0.1345/0.1356 vs 0.1263, 5 fresh boots each, rtx6kpro protocol) while
raising max context from 373k to 550k/600k+ on 4x96GB.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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@malaiwah

malaiwah commented Aug 7, 2026

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Reproduction Attempt on AIBoss (RTX 5090)

We attempted to reproduce the nvfp4_ds_mla MTP verifier route regression described in this PR using the CI fixture model malaiwah/GLM-5.2-SIQ-Fruit-Instruct (5.04B params, 2.885 GiB) on a single RTX 5090 (32 GB, SM120) with the exact r28 release image (voipmonitor/vllm:gilded-gnosis-v20-vllme1e9426-si200c1db-fi801d57a-cu132-20260804-r28).

What was confirmed

The route selection root cause described in the PR is present in r28. In b12x_mla_sparse.py (line 1425–1430):

spec_decode_mode = os.getenv("VLLM_B12X_MLA_SPEC_EXTEND_AS_DECODE", "auto").strip().lower()
disabled_modes = {"0", "false", "off", "no"}
forced_modes = {"1", "true", "on", "yes"}
self.spec_extend_as_decode = spec_decode_mode not in disabled_modes

With auto (the documented default), spec_extend_as_decode = True for all KV formats including nvfp4_ds_mla — this is the bug. With =0, it is False (extend path — safe). Both routes boot and serve successfully with nvfp4_ds_mla + MTP1 on the RTX 5090. MTP acceptance with =0 (extend): 372/460 = 80.9%.

Why the retrieval bug could not be reproduced

The CI fixture model has max_position_embeddings = 65536 (64k), while the regression described in this PR manifests at 300k+ context on the full GLM-5.2 model. Needle-in-haystack tests showed identical results for both routes:

Context auto (decode path) =0 (extend path)
1k PASS PASS
4k PASS PASS
8k FAIL FAIL
16k FAIL FAIL
32k FAIL FAIL
48k FAIL FAIL

The failures at 8k+ are from the 5B CI fixture's limited retrieval capability, not the route bug — both routes degrade identically because the model cannot do needle retrieval beyond ~4k tokens regardless of the verifier path.

Conclusion

The code-level root cause is confirmed in r28, but the retrieval failure itself requires the full GLM-5.2 model at 300k+ context — not reproducible with the Fruit CI fixture at 64k max context on a single RTX 5090. The fix remains relevant for production deployments running nvfp4_ds_mla + MTP at long context.

@malaiwah

malaiwah commented Aug 7, 2026

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Relationship Between PR #171 and Issue #182

Summary

PR #171 does not fix issue #182. Issue #182's investigation explicitly tested and refuted the PR #171 hypothesis. They address different root causes in the same symptom space (nvfp4_ds_mla + long-context retrieval).

Issue #182 root cause (not PR #171)

Issue #182 tracks a deep-context retrieval regression where a frozen 343,727-token prompt retrieves correctly on v19 but misses on v20. The investigation (23 comments, ~36 hours of work) localized the root cause to the sparse-indexer top-k selection policy during prefill, not the MTP verifier route:

  • v20 commits 1012199e (exact overflow rescan) and 83a58444 (widened coarse radix from 8 to 10 bits, candidate buffer 4096 to 8192) changed the sparse-indexer selector.
  • The new exact selector is mathematically correct for the E4M3-query/FP8-key proxy, but it systematically moves ~7.4-8.4% of the 2,048-entry sparse-attention budget from older positions into the newest quarter of context.
  • The needle at position ~137,496 gets dropped from the top-2,048 at multiple early sparse layers (starting at layer 34), because the exact proxy scores favor recent tokens.
  • Even a full BF16/FP32 oracle excludes the needle from top-2,048 — the issue is the selection distribution, not quantization precision.

The actual fix is the bounded_compat selector policy (SparkInfer PR #82), which preserves the historical v19 selection distribution. It passed all frozen gates: 250k control, 3/3 frozen 350k failures, and a randomized 50k-475k cold ladder.

PR #171 was explicitly refuted for issue #182

Issue #182's experiments table contains this row:

PR #171 NVFP4 MTP verifier route | No-#171 image still missed the first cold causal row; deep physical-index decode/extend oracle prepared | Refuted end-to-end

They tested an image without PR #171's route change and the 350k retrieval still missed — proving the MTP verifier route is not the cause of the retrieval regression.

What PR #171 actually fixes (and why it's still valuable)

PR #171 addresses a different, narrower issue: commit 3e731bc0 changed the default VLLM_B12X_MLA_SPEC_EXTEND_AS_DECODE from extend to decode for MTP verification without qualifying by KV format. For nvfp4_ds_mla (compact NVFP4 records), the decode kernel arm is the wrong verifier path. This is a correctness issue in MTP verification, not in prefill retrieval.

The PR's own field evidence confirms this distinction:

  • v19 compact NVFP4 + i8_ring: 5/5 deep-needle pass at 50k-475k
  • v20 with auto route: pass at 50k/150k, genuine miss by 300k
  • v20 with forced decode (reducing splits): moved the pass boundary through 300k but still missed at 350k/475k

The last result is important — it shows that the MTP route affects the margin of the failure but is not the root cause. Issue #182's investigation then identified the actual root cause as the selector policy.

Where they overlap and where they don't

Aspect PR #171 Issue #182
Layer MTP verifier route (decode vs extend) Sparse-indexer top-k selection (prefill)
Root cause 3e731bc0 unqualified format switch 1012199e + 83a58444 exact overflow rescan
KV format nvfp4_ds_mla nvfp4_ds_mla
Fix Format-qualify auto mode bounded_compat selector policy (SparkInfer PR #82)
Scratch benefit Reclaims ~99 MiB/GPU verifier scratch N/A
Fixes issue #182? No (explicitly refuted) N/A
Still needed? Yes — correct MTP verifier routing for nvfp4_ds_mla is independently valuable Yes — selector policy is the actual fix

Relevance to the production stack

The production container runs VLLM_B12X_MLA_SPEC_EXTEND_AS_DECODE=0 (forced extend), which avoids PR #171's bug. Issue #182's regression is present in the r28 image's default exact selector — the bounded_compat fix is not in r28 (the build docs explicitly state: "the later bounded_compat commits on build PR #5; that selector policy was not part of this candidate"). Long-context retrieval quality at 300k+ on nvfp4_ds_mla may be affected in production if prompts exceed ~250k tokens.

@yatesdr

yatesdr commented Aug 29, 2026

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Closing under the repository’s no-draft-PR policy. The branch and discussion remain preserved; any successor will be submitted as ready only after local correctness, E2E, and regression validation.

@yatesdr yatesdr closed this Aug 29, 2026
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