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AstrAI/docs
ViperEkura f4c44ebf1c docs: correct fp8 kernel descriptions in cuda_kernels guide
- keep the separate fp8/quantize.cuh row (quantize kernel lives there, not in gemm.cuh)
- gemm.cuh now dispatches 64x64/128x128 CTAs at runtime via prefer_small_cta
- quantize takes the quantization multiplier (strategy passes scale.reciprocal())
- python primitives are fp8_quantize/fp8_gemm plus quantize/mm_fp8 wrappers
- cmake builds the five base targets plus fp8_ops on sm89+
2026-08-27 05:07:41 +08:00
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