feat: add group gemm operators #282
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Test passed, I'll merge this PR first, for the next steps, we need to compile more shapes (for lora shrink and expand), and integrate punica's bgmv and sgmv implementations for extremes shapes (vector, etc). |
yzh119
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Jun 20, 2024
🤖 I have created a release *beep* *boop* --- ## [0.1.0](v0.0.4...v0.1.0) (2024-06-20) ### Highlights * Support any GQA group size support for tensor-cores kernels. * Support any page size support for tensor-cores kernels. * Support CUDA-Graph for prefill/decode APIs. * Add an option to accelerate decode kernels with Tensor Cores. * Support custom attention mask. (https://docs.flashinfer.ai/tutorials/kv_layout.html#mask-layout-2d-ragged-tensor) * Support logits cap in Grok-1 models. * Fused GPU-sampling kernels: top-p, top-k, speculative verification. (https://docs.flashinfer.ai/api/python/sampling.html) * PyTorch wrapper of group-gemm cutlass kernels. (https://docs.flashinfer.ai/api/python/sampling.html) ### Acknowledgement We thank [@ibsidorenko](https://github.com/ibsidorenko), [@LiuXiaoxuanPKU](https://github.com/LiuXiaoxuanPKU), [@Yard1](https://github.com/Yard1) [@AgrawalAmey](https://github.com/AgrawalAmey), [@xuzhenqi](https://github.com/xuzhenqi), [@mgerstgrasser](https://github.com/mgerstgrasser), [@esmeetu](https://github.com/esmeetu), [@yz-tang](https://github.com/yz-tang), [@HSQ79815](https://github.com/HSQ79815), [@Qubitium](https://github.com/Qubitium), [@shreygupta2809](https://github.com/shreygupta2809), [@sighingnow](https://github.com/sighingnow), [@vinx13](https://github.com/vinx13), [@tqchen](https://github.com/tqchen), [@merrymercy](https://github.com/merrymercy), [@comaniac](https://github.com/comaniac) and many others for their contributions and helpful discussions for 0.0.5 release. ### Refactor * support any GQA group size for tensor-cores kernels ([#301](#301)) ([c111ca](c111ca6)) * support any page size for tensor-cores kernels ([#306](#306)) ([82fd8c](82fd8c7)) ### Features * add `use_tensor_cores` option to decode kernels to accelerate GQA ([#317](#317)) ([3b50dd5](3b50dd5)) * add group gemm operators ([#282](#282)) ([e08ba42](e08ba42)) * initial support of distributed operators ([#289](#289)) ([03553da](03553da)) * initial support of logits hook ([#298](#298)) ([ab1e2ad](ab1e2ad)) * Separate Q and KV dtypes for decode ([#286](#286)) ([5602659](5602659)) * support cuda graph for batched multi-query(prefill/append) attention ([#275](#275)) ([83ceb67](83ceb67)) * support cuda graph for batched multi-query(prefill/append) attention ([#277](#277)) ([24cc583](24cc583)) * support custom attention mask in prefill/append attention kernels ([#266](#266)) ([7304282](7304282)) * fused speculative sampilng kernels ([#259](#259)) ([cea2bb](cea2bb9)) * expose sampling APIs in pytorch ([#238](#238)) ([092902](0929023)) ### Performance Improvements * initial cuda graph support ([#256](#256)) ([7e9cc7f](7e9cc7f)) * split kv-cache for prefill/append kernels ([#310](#310)) ([f0bb0a3](f0bb0a3)) * use packed bit array for attention mask ([#308](#308)) ([3d43dc9](3d43dc9)) --- This PR was generated with [Release Please](https://github.com/googleapis/release-please). See [documentation](https://github.com/googleapis/release-please#release-please). --------- Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: Zihao Ye <expye@outlook.com>
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First step towards #199 .
Group gemm should also be helpful for MoE.