| .. | ||
| patches | ||
| README.md | ||
QKV Layout, Swizzle, and Wide-Store Recovery
The recoverable source is split between the shared CUDA patch and a focused Python dispatch patch:
patches/0001-strided-nhd-dispatch.patch: currentattention.pychanges for projection-strided NHD Sage2 and contiguous token-major output.../shared_cuda_experimental_worktree/patches/0001-shared-cuda-experiments.patch: QKV split/layout kernels, vectorized 16-byte stores, generalized NVFP4 scale swizzle, and associated extension binding. This patch also contains other requested CUDA experiments and is not isolated.
No experimental dispatch or build default is added by this capsule.