[Bugfix] Prevent NaN poisoning in xpu_mla_sparse for fully-masked index chunks - #48366
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…ex chunks With an -inf running max, a chunk whose keys are all masked (e.g. leading -1 padding in the sparse topk indices) yields re_scale = exp2(-inf - -inf) = NaN, permanently poisoning the accumulator and e_sum even when valid keys follow in later chunks. Rows with no valid key at all likewise return NaN (0/0) instead of the zeros the in-tree reference implementation defines for them. Use a finite sentinel (-1e30) for the running max and the masked logits instead. Chunks that mix valid and masked keys are unaffected (exp2(-1e30 - m) == 0 exactly in fp32); leading fully-masked chunks now contribute nothing once a valid chunk rescales them away; rows with no valid key produce zeros, matching the reference semantics in tests/kernels/attention/test_xpu_mla_sparse.py. Adds a regression test covering leading + trailing masked chunks and a fully-masked row. Signed-off-by: Nick Iusiumbeli <nickuspro@gmail.com> Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_018rAgxnbvYspogVYLRfgYub
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…withdrawn * vllm-project/vllm#48364 — bug: fully-masked leading index chunks NaN-poison xpu_mla_sparse (exp2(-inf - -inf)); repro runs on CPU via TRITON_INTERPRET. * vllm-project/vllm#48366 — fix PR: finite sentinel + regression test, verified bidirectionally (red on the unfixed kernel, green on the fixed one). * vllm-project/vllm#48374 — RFC: fp8 KV for the Ampere sparse-MLA path via software dequant. Leads with the honest decode table (0.92x @bs=8, 0.45x @bs=32 — a capacity-for-speed trade, not a win), states both open items (backend wiring, engine boot), and cites PR #47629's OWN uint8-LUT fp8 decode on SM80 (mqa_logits_triton.py:191) as in-PR precedent for the technique. The "dtype-blind autotune key" bug report is WITHDRAWN, not filed: Triton >=3.x already appends every tensor arg's dtype to the autotune cache key, and IS_FP8 is a tl.constexpr (separate specialization regardless). The 3.0x evidence compared two different kernels, one with an invalid softmax merge. The salvageable part — upstream's autotune CONFIG LISTS are bf16-shaped — is stated in the RFC as an unmeasured hypothesis, which is what it is. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_018rAgxnbvYspogVYLRfgYub
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cc @wuxun-zhang PTAL |
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@majian4work Could you please try with DeepSeek model to see if any accuracy regression? |
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Thanks @nickus , good catch. |
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Guys, it seems i cannot merge. I do not have write permission to the repo. |
FIX #48364
Purpose
_bf16_mla_sparse_kernel(the XPU sparse-MLA kernel behindXPU_MLA_SPARSE, DeepSeek-V4 XPU prefill, and the fp8 decode wrapper) NaN-poisons its output whenever the firstBLOCK_N(=16) topk index entries of a row are all masked, even though valid keys follow later:-inf, and a fully-masked chunk sets every logit to-inf;re_scale = exp2(-inf - -inf) = NaNthen poisonsaccande_sumpermanently (nan * 0 = nan), so later valid chunks cannot recover the row.A row with no valid key at all likewise returns NaN (
0/0), where the in-tree reference (reference_mla_sparse_prefill) explicitly defines zeros.The fix replaces
-infwith a finite sentinel (-1.0e30) for the running-max init and the masked logits — the same approach the newer sparse-MLA kernel in #47629 uses. Two lines, no perf change:exp2(-1e30 - m)is exactly0.0in fp32;The existing test never catches this because it writes valid indices at the front of each row and pads with
-1at the back — trailing padding is benign. The added regression test covers leading + trailing masked chunks and a fully-masked row.Test Plan
TRITON_INTERPRET=1— it is a pure numerics bug).test_bf16_triton_sparse_mla_masked_chunks: verified bidirectionally on the kernel via the Triton interpreter — it FAILS (NaN) on the unfixed kernel and passes on the fixed one, without/max_logits/lsematchingreference_mla_sparse_prefillwithin the file's existing tolerances.test_bf16_triton_sparse_mla(existing) is unaffected: for any row containing at least one valid key in its first chunk, the sentinel path computes bit-identicalp/re_scalevalues.Test Result
🤖 Generated with Claude Code