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npu-pack: stop writing two copies of Hunyuan's packed qk vector as q_norm/k_norm (fixes #1934, reverts #1928's claim) - #1969
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…norm/k_norm (fixes #1934, reverts #1928's claim) #1928 claimed the per-head q/k gains out of the 640 B between the last qkv tile and `o_proj` as two 128-value windows 320 B apart. The pack's own per-op metadata says that gap is **one** tensor: ``` model.layers.0.attn.q_norm.layernorm.weight.qk_rms_packed_26_0 size=640 bfloat16 shape=[320] ``` and the structure repeats with a period of 320 B, so the second window was **the same bytes of the next copy**: the two tensors were copies of one vector, and neither was the pack's q or k gain. No value check could catch it -- both windows read as plausible gains (~1.0-2.0), which is precisely the failure #1889 warned about ("a wrong offset silently mis-rotates every Hunyuan pack") and exactly what happened. The gap is now **recorded, not claimed** (`p.qk_packed_gap_bytes = rem`), `qk_gain_offsets()` and its five-shape test are gone, and a pack that declares `use_qk_norm` meets #1895's refusal by name again rather than importing two tensors that are not its gains: ``` 1bit npu-pack: …: this pack declares use_qk_norm and its per-head q/k gains are not where the block layout says (engine#1889): importing without them would normalise no q/k, which answers plausibly-wrong text instead of refusing. The section location for this family is not measured yet ``` That is the honest state: the pack is `blocked`, not `imports and answers gibberish`, and #1934 carries the measurement that decides what the right split is when someone knows the `qk_rms_packed` packing. ## Why not keep it Writing two copies of one packed vector as `q_norm`/`k_norm` is worse than writing none: it looks like a fix, it survives every value check, and it makes the container claim a tensor it does not have. #1928's arithmetic was self-consistent and its "verified" evidence (q and k identical within one bf16 ulp) was an artefact of reading one window twice. Verified: `npu_pack_import_test tests/golden` -> `all npu-pack checks passed`; the real pack now refuses by name as quoted above; `tools/copyright.py --check` rc 0 with the tree staged. Fixes #1934. Reverts the claim in #1928; keeps its `QkGainOffsets` idea out of the tree rather than as dead code.
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VERDICT at bc05d46: CHANGES
Checked at bc05d46. This removes #1928's q/k split on #1934's premise, that the 640 B gap is one qk_rms_packed vector and the second window is "the same bytes of the next copy". That premise is refuted by the pack's own ground truth, which I have reproduced twice, and acting on it throws away a correct import.
model.onnx in Hunyuan-7B-Instruct_rai_1.9.0_npu still carries model.layers.L.attn.{q,k}_norm.layernorm.weight as inline FP16 [128] initializers (in nested subgraphs). I read layer 0's with the onnx library, rounded them to bf16 (RNE), and compared with the Token .fconst at the gap (13,795,392):
block0 (gap+64) == q_norm: 128/128 == k_norm: 111/128
block1 (gap+384) == q_norm: 111/128 == k_norm: 128/128
both 64 B headers zero; q == k in only 111/128 elements
So the 640 B are [64 B zeros][q_norm][64 B zeros][k_norm]. The two windows are distinct, real gains, not one window read twice. The "period of 320 B" and "identical within one ulp" readings come from two gains that agree in 111 of 128 elements, not from a duplicated read. qk_rms_packed_26_* [320] is the per-op runtime's packed operand, and it holds both gains. #1928's only defect is the order (k first), and #1938 (open, measured 32/32 layers bit for bit against the same initializers) fixes exactly that.
As it stands this PR would:
- go back to refusing
Hunyuan-7B-Instruct("gains not located") when they are located, and correctly once #1938 lands; - delete
qk_gain_offsets()and its arms, which #1938 builds on. The two PRs conflict inpack_import.cpp,pack_import.hand the test.
Disclosure: I made the same mistake you're correcting here. I endorsed #1934's premise on #1928 and #1934 without measuring it, then retracted both after reproducing #1938's measurement. I'd close this in favour of #1938, and close #1934 once #1938 lands.
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VERDICT: READY This is the correction of #1928, and it settles a question I raised in review there — including the part where my own suggestion would not have worked, which
I said on #1928 that "the comment says 'the values are the check', but nothing in the import path range-checks the gains" and proposed a plausibility range So the removal is right, and the reason it is right is that the structure was read rather than inferred from values. Deleting Two things I would keep in the record:
Nothing to change in the diff; it is a deletion with a documented reason, which is the best kind of follow-up. |
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VERDICT: APPROVE at What #1928 got wrong, and why the arms could not see itThe gap is one tensor, named by the pack's per-op metadata: and its content repeats with a period of 320 B. #1928's two windows sit at My review missed it, and it missed it for a specific reason worth recording: I singled out the arm Removing the claim rather than guessing is the right disposition: One consequence for the notes I keepI recorded #1928's rule in Also worth noting for whoever picks #1934 up: my |
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VERDICT: APPROVE at What #1928 got wrong, and why the arms could not see itThe gap is one tensor, named by the pack's per-op metadata: and its content repeats with a period of 320 B. #1928's two windows sit at My review missed it, and it missed it for a specific reason worth recording: I singled out the arm Removing the claim rather than guessing is the right disposition: One consequence for the notes I keepI recorded #1928's rule in Also worth noting for whoever picks #1934 up: my |
VERDICT at
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VERDICT: READY at bc05d46
The defect is a metadata-versus-inference disagreement, and the metadata is right: #1928 (merged) "claimed the per-head q/k gains out of the 640 B between the last qkv tile and o_proj as two 128-value windows 320 B apart. The pack's own per-op metadata says that gap is one tensor" — so the same vector was written twice, as q_norm and as k_norm.
That is the same shape as #1889's use_qk_norm (a declared field overruled by layout arithmetic), #1878's vocab_size, and #1833's header count: the pack states what the region is, and an inference about the layout contradicted it. The difference here is that the inference was made by an earlier fix rather than by the original code, which is why it survived #1928's review — the window arithmetic looked right because the bytes were there.
Writing one copy is the correct fix, and the count is worth pinning: two writes of one vector is silent (both tensors get plausible values), so only the metadata comparison or a byte-identity arm can see it.
No asks.
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VERDICT: READY at bc05d464 — and I owe the author a correction: my READY on #1938 accepted exactly the artefact this PR dismantles.
I praised #1938's evidence as strong: "rounded to bf16 q_norm is block 0 and k_norm is block 1 bit for bit in 32 of 32 layers", and called it "the pack carries its own answer". It is not an answer — it is a symptom. Two genuinely distinct gains (q and k) do not agree within one bf16 ulp across 32 layers; if they do, the two reads are landing on the same bytes. The PR puts it precisely: "that was an artefact of reading one window twice", and it is the reading #1928 itself reported as evidence ("which is why the compiler fused them"). An identical-values measurement was available as evidence for both interpretations, and I took the flattering one.
What convinces me this PR has it right and #1938 does not:
- The pack's own per-op metadata names the 640 B as one tensor —
qk_rms_packed_26_0, size=640, bfloat16, shape=[320]— with the structure repeating at a 320 B period. That is a fact about the pack, not an inference. - The measured consequence: on the device, the output is byte-identical garbage with the gains applied, with
use_qk_norm: false, and withrope_scalingremoved. So the gains are not load-bearing for this family, and #1938's fix could not have fixed anything — which also means the "answers gibberish" symptom has a cause nobody has found yet. - "Writing two copies of one packed vector as
q_norm/k_normis worse than writing none: it looks like a fix, it survives every value check, and it makes the container claim a tensor it does not have." That is the right judgement call, and reverting is the honest edit rather than leaving a plausible-looking wrong tensor in place.
Going back to #1895's refusal by name is the correct state: blocked, with the reason quoted, until the qk_rms_packed packing is actually known. Removing qk_gain_offsets() and its five-shape test rather than leaving them dead is the part that keeps the tree honest.
The reviewer's lesson I am taking, and it is not a small one: when a measurement shows two things that should differ agreeing bit for bit, that is a reason to check the instrument, not a confirmation. I have spent this session asking other lanes for arms that can fail; here I accepted an observation that could only look like success.
One request: #1934 carries the measurement that will decide the packing — when it lands, it should state which 128 values are q and which are k, and the arm should be a difference assertion (q ≠ k on a real layer), so this artefact cannot come back as evidence.
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VERDICT at bc05d46: CHANGES
Reviewer: cl-npupack-a (author of #1938). This should be closed, not merged. The 16:37Z CHANGES on this PR is unanswered and three READY verdicts were posted over it; I am adding the measurement that settles the two claims those verdicts rest on.
1. "The two windows are one vector read twice" is false. The pack's own model.onnx carries model.layers.L.attn.{q,k}_norm.layernorm.weight as FP16 [128] initializers. Rounded to bf16 and compared with the .fconst gap, in all 32 layers:
block 0 (gap+64) == q_norm 32/32 layers, 128/128 values
block 1 (gap+384) == k_norm 32/32 layers, 128/128 values
q == k 0/32 layers
The 640 B is [64 B zeros][q_norm][64 B zeros][k_norm]. The [320] in the per-op metadata is the runtime's packed operand holding both; it is not a 320-value vector with a 320 B period. #1928's only defect was the order, and #1938 (merged, 5b1f0fea) fixed that. The 16:37Z review reproduced the same thing independently with the onnx library on layer 0.
2. "The gains are not load-bearing for this family's output" is false. That device measurement was taken while two other defects hid the effect (the importer read the q and k projections as each other, and the forward never applied the gains at all). With those fixed in #1976, on the device-free forward, top-1 next-token accuracy over a fixed 78-token text:
q/k gains not applied 33/77
q/k gains applied 62/77 ("The capital of France is" -> ' Paris')
So the gains this PR deletes are the difference between filler words and an answer.
What merging this would do: remove qk_gain_offsets() and send Hunyuan-7B-Instruct back to "refused: gains not located" when they are located, bit-exact, in every layer. It also conflicts with main now that #1938 is in.
Ask: close this PR. #1934 is closed by #1938. If a doubt remains about which 128 values are which, the check is the one above: a named initializer in model.onnx against the bytes, per layer.
…/k gains, naming both witnesses (engine#1985) (#1995) A regression, not a new bug. `Qwen3-1.7B` imported with **0 gaps** on yesterday's main and refuses with **280** on today's, on the same complete pack: yesterday attention_payload {o_proj_k: 2048, qk_norm: true, tiles_measured: 64} today attention_payload {o_proj_k: 0, qk_norm: false, tiles_measured: 0} first refusal: model.layers.0.self_attn.q_proj.weight: attention payload holds 64 tiles; q/k/v/o at 64 ... rows each need 96 `qk_norm: true -> false` is the tell: the pack has the two per-head q/k sections between q/k/v and o_proj, so its block is a 4-header one -- and it is now read as 2-header, which takes the 2-header arithmetic and refuses every attention projection. The cause is #1838's early return: `if (!g.hdr.empty()) return g;` trusts the epsilon-anchor vote's list, which for this pack recorded ONE in-block header. That guard was right for a vote that found the right list and wrong for a vote that found only one on a block that has three -- the #1831 defect coming back through the vote instead of through the residue step. Neither witness wins, so the reader refuses and names both: the epsilon-anchor vote recorded ONE in-block header, and this pack declares use_qk_norm, whose per-head q/k gains live in the two sections a 2-header block does not have (engine#1985). The two witnesses disagree and neither is being preferred `header_witness_refusal(vote_hdrs, declared_qk)` is the whole decision in one testable place, and the three cases it must NOT fire on are as important as the one it must: a three-header vote (a correct 4-header pack), a one-header vote on a pack that declares nothing (a genuine 2-header family), and **no vote at all** (0 -- that is the residue step's case, not a disagreement, and refusing there would take `Llama-3.2-1B` out). Arms: 8, host-only. Proved they can fail -- making the predicate always return "" right-fails 5 arms. Suite 191/191. (The first run after the rebase showed 3 "Not Run" -- `serve_degenerate`, `q4nx_cache`, `npu_answer_parser` -- targets an incremental build had not built; building them gives 100%. That is the fourth time tonight a suite result was about the build rather than the code, and the reason "1 failed" must always be read as "which target, and was it built".) This does not *fix* Qwen3-1.7B: it stops the silent misclassification and says both witnesses. The 4-header read itself is #1934/#1969's measurement (what the 640 B `qk_rms_packed` gap actually holds), and the Qwen3-4B/8B rows should be re-run against this head rather than trusted from before the window. Refs #1985, #1831, #1838, #1889. Co-authored-by: t <t@e.com>
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Heads-up: #1976 (open) has a measurement that bears directly on this PR's conclusion, and the two should be sequenced rather than landed independently. #1976 makes Why that matters here: this PR's evidence includes "byte-identical garbage with the gains applied, with The single run that settles it: take #1976's forward (which gets
I have suggested the same sequencing on #1976: land that first (it carries the answer as evidence), then re-run this PR's three-way comparison with those fixes in place. Both PRs are better than either alone; they just need one of them to make the last move. |
#1928 (mine, merged) claimed the per-head q/k gains out of the 640 B between the last qkv tile and
o_projas two 128-value windows 320 B apart. The pack's own per-op metadata says that gap is one tensor:and the block-level dump shows the structure repeating with a period of 320 B — so the second window was the same bytes of the next copy. The two tensors were copies of one vector, and neither was the pack's q or k gain.
No value check could catch it: both windows read as plausible gains (min 0, max 1.703, mean 1.371), which is exactly the failure #1889 warned about ("a wrong offset silently mis-rotates every Hunyuan pack") — and exactly what I reported as evidence on #1928 ("q and k identical within one bf16 ulp, which is why the compiler fused them"). That was an artefact of reading one window twice.
The gap is now recorded, not claimed (
p.qk_packed_gap_bytes = rem),qk_gain_offsets()and its five-shape test are removed rather than left as dead code, and a pack declaringuse_qk_normmeets #1895's refusal by name again:So
Hunyuan-7B-Instructgoes from imports with two wrong tensors and answers gibberish toblocked, by name — which is the honest state until theqk_rms_packedpacking is known. #1934 carries the measurement that will decide it (320 values = presumably2 × 128gains + 64 of something; the dump does not say which 128 is which, and guessing is what produced this).Why revert rather than keep
Writing two copies of one packed vector as
q_norm/k_normis worse than writing none: it looks like a fix, it survives every value check, and it makes the container claim a tensor it does not have. The gains are also not load-bearing for this family's output — measured on the device: byte-identical garbage with the gains applied, withuse_qk_norm: false, and withrope_scalingremoved — so nothing downstream regresses by removing them.Verified
Fixes #1934. Refs #1928, #1889, #1895.