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Apr 16, 2026
* Remove unnecessary cute::min * Use add.rn.f32.bf16 for mixed-precision addition * Code tidy-up * Use __fdividef for kFastMath * Revert buggy optimization
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Add bias with shape [n] support to fp8 gemm on sm100. Only support bf16 output datatype
test with:
test_attention.py test_bf16.py test_fp8.py
the performance are in attached files
performance.txt