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* Add more GPU architctures support * Merge fmha and mla runner * add varlen & non varlen support, and add incontiguous tensor support * update readme * add varlen api --------- Co-authored-by: dianzhangc <dianzhangc@nvidia.com>
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Hey @LucasWilkinson, any insight on how we can resolve the failing sign-off checks? I have some work based on the latest version of FlashMLA that I would like to try out in vLLM, and so it would be convenient for me if this could be merged 😅 . |
* get rid of cudaMalloc and cudaFree * minor fix --------- Co-authored-by: Jiashi Li <js.li@high-flyer.cn>
* fix calc space bug * use python code to allocate the buffer for backward kernel
Add Sparse Attention Kernels on Hopper
Signed-off-by: simon-mo <simon.mo@hey.com>
* Multiple updates and refactorings * Remove dead code
Co-authored-by: baowending.bwd <baowending.bwd@alibaba-inc.com>
… when sequence length is very large(>1M) (#173)
The SWITCH_MAX_SPLITS macro only enumerated split buckets up to 160; any num_splits in (160, 256] fell through to FLASH_ASSERT(false) at kernel launch. On GPUs with high SM counts the decode scheduler can request more than 160 splits, so extend the ladder with 192/224/256 buckets. Purely additive. Signed-off-by: Zachary Aristei <zaristei@nvidia.com>
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