Original release notes
cuda: enable topk-moe fusion for 288 experts (#25267)
- cuda: enable topk-moe fusion for 288 experts
The topk-moe fusion only accepted power-of-2 expert counts (or the special-cased 576), so models with 288 experts (e.g. Step-3.7-Flash) fell back to the unfused per-layer routing chain: softmax/sigmoid, argsort, get_rows, sum_rows, div, clamp, scale. At batch size 1 that is ~330 extra tiny graph nodes per token.
288 is a multiple of the warp size, so the existing kernel already handles it; this adds the missing template instantiation and accepts 288 in the eligibility check.
Measured on gfx1151 with Step-3.7-Flash IQ4_XS (llama-bench, -b 4096 -ub 4096 -fa 1 -dio 1 -ctk q8_0 -ctv q8_0; machine idle, before/after paired so pp4096 stays matched as a load control):
test | before | after ----------------+----------------+---------------- pp4096 | 460.99 0.45 | 462.47 0.34 (unchanged) tg128 | 19.10 0.04 | 19.56 0.03 (+2.4%) tg128 @ d30000 | 12.68 0.04 | 12.69 0.03 (unchanged)
Prompt processing is unaffected (the fusion only touches decode routing). The decode gain is ~+2.4% at shallow context and fades with depth: by 30k tokens each step is attention-bound over the KV cache, so removing the fixed routing overhead is no longer visible.
Assisted-By: Claude Fable 5
- Update tests/test-backend-ops.cpp
Co-authored-by: Oliver Simons
- Add comment for case 288 in topk-moe.cu
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Co-authored-by: Oliver Simons
UI:
