[Proposal] Upstream SM90 WGMMA HGEMM TN?

Hi maintainers @DefTruth , I’d like to ask for feedback before opening a PR. I implemented a Hopper-only HGEMM TN kernel using WGMMA + TMA + Warp Specialization (SM90, CUDA 12.x). Current config: BM=128, BN=128, BK=64, stages=3, wgmma m64n128k16. Local status: ·Correctness: max error = 0 on tested square cases ·Performance: peak around 572.8 TFLOPS (local Hopper test) Before preparing PR, could you please advise: 1. Is this direction welcome in upstream? 2. Preferred target directory/structure for this kernel? 3. For v1 PR, do you prefer: A) kernel + benchmark + minimal docs B) A + PyTorch binding If accepted, I will follow your preferred structure and submit a minimal, review-friendly PR first. Thanks!