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perf(glm): fuse dense/shared FFN activation and FP8 quantization - #1711

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bsh/glm-ffn-swiglu-quant
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shihaobai wants to merge 1 commit into
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bsh/glm-ffn-swiglu-quant

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@shihaobai shihaobai commented Nov 12, 2026 •

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Fuse GLM dense/shared FFN activation and quantization for BF16 DeepGEMM with unpacked UE8M0 scales. Preserve clipping and intermediate rounding; other formats retain the existing path. The small shared-kernel alpha extension is identical to #1709; this PR adds the separate dense/shared consumer.

Validated on H100 and retested after rebasing onto main db192ec: 211 GPU tests pass, including scale/FP8 parity, fallbacks and CUDA graph replay. With actual GLM checkpoint weights, all 32 FFN comparisons are byte-exact (1–8192 tokens). At 8192 tokens the full dense/shared FFN is 1.25x/1.19x faster; small-batch CUDA graph gains are 1.02–1.11x. These are local FFN timings, not end-to-end TPM.

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shihaobai force-pushed the bsh/glm-ffn-swiglu-quant branch from aaa5cee to b2d0dba Compare November 12, 2026 11:12
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