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2019-03-08Fixes for FBGEMM FP16 performance (#82)Jianyu Huang
Summary: Pull Request resolved: https://github.com/pytorch/FBGEMM/pull/82 This is a quick fix for matching FBGEMM FP16 performance with SKINNY GEMM FP16. Basically, this Diff switches the register layout in C accumulation buffer inside micro-kernel from MR * 1 to MR * 2. Check the reasons in T40816746. Reviewed By: zhengwy888 Differential Revision: D14278430 fbshipit-source-id: 961dd681deee69e2b7fec6bcdba7920e0b09134a
2019-01-31Add threading for FBGEMM FP16Jianyu Huang
Summary: Add threading support for FBGEMM FP16 routines. Reviewed By: dskhudia, jacobkahn Differential Revision: D13792341 fbshipit-source-id: eb31a11340ac9fd0ee9b4f570d161e7c7e6a7602
2018-12-19Refactor to use FbgemmFP16 in packed gemm operator (#49)Amy Yang
Summary: Pull Request resolved: https://github.com/pytorch/FBGEMM/pull/49 refactored code to use deeplearning/fbgemm2/FbgemmFP16 Reviewed By: jspark1105 Differential Revision: D13324112 fbshipit-source-id: 8addc602ae61337f68ec361082e7536ad7fbd202
2018-11-19clang-format (#11)Jongsoo Park
Summary: Pull Request resolved: https://github.com/pytorch/FBGEMM/pull/11 clang format of fbgemm Reviewed By: dskhudia Differential Revision: D13115202 fbshipit-source-id: 6dab29cb8b5f4fabcc165019663351567a2a2952
2018-11-08Sync with internal copy: Asymmetric padding; fbgemm2 -> fbgemmJianyu Huang
2018-11-04Syncing with internal version. Fixes for Mac/clang build. Other minor fixesdskhudia
2018-10-31Initial commitDaya S Khudia