Add Paged Attention to FMHA Cutlass Blackwell Forward kernel for fixed length#4999
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…d length (pytorch#4999) Summary: X-link: facebookresearch/FBGEMM#2013 Added paged attention support to FMHA FWD blackwell kernel. 1. Added support for fixed length case. 2. Added support for 2 cases: a) page_block_size = N tile size b) page_block_size > N 3. Added unit test, test_paged_forward. Next steps: 1. Test the performance of fixed length case. 2. Add support for variable length case to FWD kernel. 3. Add support for small page sizes to FWD kernel. 4. Add paged attention support for decode. Differential Revision: D84023396
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…d length (pytorch#4999) Summary: X-link: facebookresearch/FBGEMM#2013 Added paged attention support to FMHA FWD blackwell kernel. 1. Added support for fixed length case. 2. Added support for 2 cases: a) page_block_size = N tile size b) page_block_size > N 3. Added unit test, test_paged_forward. Next steps: 1. Test the performance of fixed length case. 2. Add support for variable length case to FWD kernel. 3. Add support for small page sizes to FWD kernel. 4. Add paged attention support for decode. Reviewed By: Aya-ZIbra, sijiac Differential Revision: D84023396
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…d length (pytorch#4999) Summary: Pull Request resolved: pytorch#4999 X-link: https://github.com/facebookresearch/FBGEMM/pull/2013 Added paged attention support to FMHA FWD blackwell kernel. 1. Added support for fixed length case. 2. Added support for 2 cases: a) page_block_size = N tile size b) page_block_size > N 3. Added unit test, test_paged_forward. Next steps: 1. Test the performance of fixed length case. 2. Add support for variable length case to FWD kernel. 3. Add support for small page sizes to FWD kernel. 4. Add paged attention support for decode. Reviewed By: Aya-ZIbra, sijiac Differential Revision: D84023396
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…d length (pytorch#4999) Summary: Pull Request resolved: pytorch#4999 X-link: https://github.com/facebookresearch/FBGEMM/pull/2013 Added paged attention support to FMHA FWD blackwell kernel. 1. Added support for fixed length case. 2. Added support for 2 cases: a) page_block_size = N tile size b) page_block_size > N 3. Added unit test, test_paged_forward. Next steps: 1. Test the performance of fixed length case. 2. Add support for variable length case to FWD kernel. 3. Add support for small page sizes to FWD kernel. 4. Add paged attention support for decode. Reviewed By: Aya-ZIbra, sijiac Differential Revision: D84023396
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…d length (pytorch#4999) Summary: X-link: facebookresearch/FBGEMM#2013 Added paged attention support to FMHA FWD blackwell kernel. 1. Added support for fixed length case. 2. Added support for 2 cases: a) page_block_size = N tile size b) page_block_size > N 3. Added unit test, test_paged_forward. Next steps: 1. Test the performance of fixed length case. 2. Add support for variable length case to FWD kernel. 3. Add support for small page sizes to FWD kernel. 4. Add paged attention support for decode. Reviewed By: Aya-ZIbra, sijiac Differential Revision: D84023396
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Summary:
X-link: https://github.com/facebookresearch/FBGEMM/pull/2013
Added paged attention support to FMHA FWD blackwell kernel.
Next steps:
Differential Revision: D84023396