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…3 NaN The SM70 grouped-page4 QSA prefill route can emit NaN for every query row and head on a fixed set of head dims when the KV cache is E4M3 and a hybrid (GDN/Mamba) layout co-locates non-attention state in the paged KV pool. The same batch is correct through the XQA route. Root cause: the grouped planner pads each category to a multiple of eight with the null block -- (physical microblock 0, mask 0) -- and counts the padding in seq_len. The forward loads page 0's K/V for those padded rows and masks them multiplicatively (P = 0). But 0 * NaN = NaN survives the P@V tensor-core reduction, and under E4M3 the null block's bytes decode to NaN. Every group's every tile reads the same page-0 microblock, so the whole tile's rows and heads go NaN on identical dims. XQA never reads the null block, which is why it stays clean on the same inputs. Fix (defense in depth, both default-on): - Kernel: in flash_attention_grouped_verify_e5m2_partial_kernel under SPARSE_PAGE4, after loading each K/V panel, zero every row no query attends (unattended iff (mask & (0x11111111u << (row & 3))) == 0) so the reduction sees 0 * 0 = 0. A leading __syncthreads() before the V-panel zeroing keeps the panel load from racing past the zero and resurrecting the NaN; the trailing one publishes the zeros before P@V. - Python (VLLM_SM70_QSA_GROUPED_PAD_FIX, default 1): after the planner, repoint every mask==0 padding entry at the group's first real microblock. torch.where + copy_ has no host sync, so it stays CUDA-graph capturable. This backstops binaries built before the kernel fix. The grouped route stays default-on (VLLM_SM70_QSA_GROUPED_PAGE4=1); only what the padded rows contribute changes. Adds tests/models/qwen4_exp/test_qsa_e4m3.py::test_qsa_grouped_page4_null_block_padding_no_nan, an SM70-only regression that poisons the null block's value plane with E4M3 NaN and asserts the grouped route stays finite and matches XQA, parametrized over the Python pad-fix off (kernel-only) and on. It reproduces the NaN on an unfixed kernel and passes on either fix. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
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…adding test The regression added in the previous commit used the XQA page4 route as its clean reference. On Flash-V100 builds whose XQA E4M3 page4 kernel requires an fp32 partition buffer, that reference raises "XQA decode tmp_out must be fp32 for E4M3 KV" before the grouped route is exercised, so the test cannot run against such a build. Use a kernel-independent einsum ground truth instead: decode the E4M3 K/V to fp32 and attend only the selected tokens (which map to physical pages >= 1, so the null block is excluded). This is .so-agnostic and directly checks that the grouped route stays finite and numerically correct. The grouped route and the parametrized pad-fix coverage are unchanged. Verified on V100 (SM70): the grouped null-block NaN reproduces with the stock kernel and pad-fix off (test fails), and passes with either the kernel fix or the Python pad-fix. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
The 1CatAI#647 overlay kept the stricter native E4M3 ABI but lost the matching Python workspace dtype selection. Key the cached workspace by KV dtype and allocate FP32 temporary output for E4M3 while retaining FP16 for the existing path. Co-authored-by: OpenAI Codex <codex@openai.com> Signed-off-by: Leonccaa <166551845+Leonccaa@users.noreply.github.com>
The SM70 grouped-page4 QSA prefill route can emit
NaNfor every query row and head on a fixed set of head dims, but only when the KV cache is E4M3 and a hybrid (GDN/Mamba) layout co-locates non-attention state in the paged KV pool. The same batch is correct through the XQA route, so the failure looks route-specific rather than data-specific.Root cause
The grouped planner pads each category up to a multiple of eight with the null block —
(physical microblock 0, mask 0)— and counts that padding inseq_len. The forward then loads page 0's K/V for those padded rows and masks them multiplicatively: the score is-inf, so the softmax probability isP = 0.But
0 * NaN = NaNsurvives theP@Vtensor-core reduction. Under E4M3 the null block's bytes decode toNaN(0x7F/0xFF→ fp160x7e00, and any fp16 state a hybrid layout happens to place at page 0 has ~0.4% of its bytes land on those encodings). Every group's every tile reads the same page-0 microblock, so the whole tile's rows and heads goNaNon identical dims.XQA encodes unused slots as
INT64_MAX, sorts them last, and only counts real tokens in its sequence length — it never reads the null block. That is why XQA (and Triton) stay clean on the same inputs, and why the bug is invisible with an all-zero page 0 (0 * 0 = 0) or with fp16 KV (the null block reads back as finite small values,0 * finite = 0).Fingerprint
The padded microblock is page 0's tokens 0–3 × 256 dims = 1024 value bytes. A poisoned/garbage null block turns ~0.3–0.5% of those into E4M3
NaN, and the observedNaNdims are bit-identical across all 16 rows and 6 heads of a tile — matching a single shared source region rather than per-row corruption.Fix (defense in depth, both default-on)
Kernel — in
flash_attention_grouped_verify_e5m2_partial_kernelunderSPARSE_PAGE4, after each K/V panel load, zero every row that no query attends. The mask bit layout isquery*4 + token_in_microblock, so a row is unattended iff(mask & (0x11111111u << (row & 3))) == 0; zeroing those rows makes the reduction compute0 * 0 = 0. A leading__syncthreads()before the V-panel zeroing keeps the panel load from racing past the zero and resurrecting theNaN; the trailing one publishes the zeros beforeP@V.Python (
VLLM_SM70_QSA_GROUPED_PAD_FIX, default1) — after the planner, repoint everymask == 0padding entry at the group's first real microblock (column 0; real entries always carry a nonzero mask).torch.where+copy_has no host sync, so it stays CUDA-graph capturable. This backstops any binary built before the kernel fix.The grouped route itself stays default-on (
VLLM_SM70_QSA_GROUPED_PAGE4=1); this PR only changes what the padded rows contribute.Verification
Differential harness on V100 (SM70), 32-token physical pages, page 0 as the null block, poisoned with E4M3
NaNbytes on the value plane.groupedvsxqa(clean reference) vs an einsum reference:With either fix (kernel, or Python pad-fix on the stock kernel) all geometries return
groupedNaN = 0, bit-consistent across repeated runs, and equal to XQA tomax|grouped−xqa| ≤ 2.4e-04. An unpoisoned regression staysNaN = 0and matches the reference.Microbenchmark (grouped route, 8192-token context, 16 rows, shared with other load so noisy): mean 0.187 → 0.233 ms/iter with the kernel fix (one extra
__syncthreads()per tile); negligible in a real long-context prefill where the grouped kernel is a small fraction of the step.End-to-end on 4× V100-PCIE-32GB TP4 with E4M3 KV + MTP4 (the configuration that exposed this): the previously-guaranteed-
NaNcount probe returns sane, finite logprobs; a 200K needle passes; a tail/K+1 probe passes with zero OOV; single-stream decode is ~97 tok/s at 8K and ~69 tok/s at 240K; outputs are byte-identical between the kernel fix and the Python pad-fix.Tests
tests/models/qwen4_exp/test_qsa_e4m3.pyaddstest_qsa_grouped_page4_null_block_padding_no_nan, an SM70-only regression (skips cleanly off SM70 or without the grouped/XQA page4 kernels). It builds a 32-token-page E4M3 cache whose page 0 is the null block, poisons its value plane with E4M3NaN, and asserts the grouped route stays finite and matches XQA. It is parametrized over the Python pad-fix being off (kernel-only) and on, so it reproduces theNaNon an unfixed kernel and passes on either fix.🤖 Generated with Claude Code