| Age | Commit message (Collapse) | Author | |
|---|---|---|---|
| 2019-08-09 | Integrate VNNI into FBGEMM master branch (#114) | Jianyu Huang | |
| Summary: Pull Request resolved: https://github.com/pytorch/FBGEMM/pull/114 Adding the VNNI support in FBGEMM. Previously, we have the issue on CMake version. Currently PyTorch and FBGEMM OSS test has the CMake 3.5 test, while ASMJIT requires CMake to be 3.8+. This caused the build failure for some platforms. Now the CMake version issue is resolved by a PR to ASMJIT to downgrade the CMake requirement: https://github.com/asmjit/asmjit/pull/252. Reviewed By: dskhudia Differential Revision: D16720839 fbshipit-source-id: e5e5f2d26f924df8d9fb955f4a3758561fa73288 | |||
| 2019-08-06 | Back out "[fbgemm] Integrate VNNI into FBGEMM master branch" | Jianyu Huang | |
| Summary: Original commit changeset: fcaa13cc3159 ASMJIT requires the CMake version to be 3.8 However, FBGEMM and PyTorch only need the CMake version to be 3.5+. This caused the build failure in FBGEMM: https://circleci.com/gh/pytorch/FBGEMM/122#build-timing/containers/0 Reviewed By: dskhudia Differential Revision: D16670547 fbshipit-source-id: 506714c3db1cb82cf98895f58f82f235128f5285 | |||
| 2019-08-06 | Integrate VNNI into FBGEMM master branch (#113) | Jianyu Huang | |
| Summary: Pull Request resolved: https://github.com/pytorch/FBGEMM/pull/113 Adding the VNNI support in FBGEMM. Reviewed By: dskhudia Differential Revision: D16276574 fbshipit-source-id: 832ccdb27339489ebc138f3b2678e53d107c1b79 | |||
| 2019-07-16 | changes to remove warnings when building in opt mode | Protonu Basu | |
| Summary: Changes to remove warnings when building FBGEMM in opt mode. Cleanup to address initialization of MCB, KCB, NCBX Reviewed By: jianyuh Differential Revision: D16283443 fbshipit-source-id: 0829aee45ed1d262a18bcf4dd294393ef018a688 | |||
| 2019-04-19 | make sure cpuinfo_initialize called before fbgemmHasAvx2/512Support (#94) | Jongsoo Park | |
| Summary: Pull Request resolved: https://github.com/pytorch/FBGEMM/pull/94 If we don't call cpuinfo_initialize before hand, fbgemmHasAvx2/512Support will always return false. We should really careful about this. Reviewed By: jianyuh Differential Revision: D14994129 fbshipit-source-id: b78028f0543d05595caaa627be2feb743d0694b1 | |||
| 2019-04-02 | Exposing tuning parameters in FBGEMM (MCB, NCB, KCB, MR, NR, Row Interleave) ↵ | Protonu Basu | |
| (#90) Summary: Pull Request resolved: https://github.com/pytorch/FBGEMM/pull/90 Exposing tuning parameters in FBGEMM (MCB, NCB, KCB, MR, NR, Row Interleave) Reviewed By: dskhudia Differential Revision: D14358148 fbshipit-source-id: 783fb4653fd696dbbd4075ad56cb8682db3011a5 | |||
| 2019-03-06 | Add Avx512BW/VL/DQ check (#84) | Jianyu Huang | |
| Summary: Pull Request resolved: https://github.com/pytorch/FBGEMM/pull/84 Add AVX512BW Check: AVX-512 Byte and Word Instructions add support for for 8-bit and 16-bit integer operations such as vpmaddubsw. Similarly, add AVX512VL/DQ check. Reviewed By: jspark1105 Differential Revision: D14321050 fbshipit-source-id: bd34745fd488ce4efe3248aeb78c54e1c2d91d47 | |||
| 2019-02-26 | barebone int8-acc16 and int8-acc32 benchmarks | Daya S Khudia | |
| Summary: adding barebone gemm benchmarks for comparisons **Performance on Skylake T6 (turbo off; single thread)** M, N, K, Type, GOPS 64, 800, 320, MKL_fp32, 91.1 64, 800, 320, FBGEMM_i8_acc32, 118.7 64, 800, 320, FBGEMM_i8_acc16, 137.0 64, 768, 512, MKL_fp32, 102.0 64, 768, 512, FBGEMM_i8_acc32, 132.2 64, 768, 512, FBGEMM_i8_acc16, 160.1 16, 256, 512, MKL_fp32, 39.8 16, 256, 512, FBGEMM_i8_acc32, 55.3 16, 256, 512, FBGEMM_i8_acc16, 63.4 128, 128, 128, MKL_fp32, 49.2 128, 128, 128, FBGEMM_i8_acc32, 54.1 128, 128, 128, FBGEMM_i8_acc16, 54.4 256, 512, 256, MKL_fp32, 97.7 256, 512, 256, FBGEMM_i8_acc32, 126.2 256, 512, 256, FBGEMM_i8_acc16, 170.1 1024, 1024, 1024, MKL_fp32, 114.3 1024, 1024, 1024, FBGEMM_i8_acc32, 150.8 1024, 1024, 1024, FBGEMM_i8_acc16, 202.9 **Breakdown** M, N, K, Type, Packing (us), Kernel (us), Postproc (us), Total (us), GOPs 64, 800, 320, MKL_fp32, 0, 0, 0, 0, 95.7 64, 800, 320, FBGEMM_i8_acc32, 5.9, 261.9, 2.0, 275.9, 115.5 64, 800, 320, FBGEMM_i8_acc16, 17.4, 210.6, 3.3, 238.2, 132.1 64, 768, 512, MKL_fp32, 0, 0, 0, 0, 103.2 64, 768, 512, FBGEMM_i8_acc32, 9.0, 366.2, 1.9, 383.2, 128.0 64, 768, 512, FBGEMM_i8_acc16, 9.9, 298.3, 1.5, 314.8, 155.4 16, 256, 512, MKL_fp32, 0, 0, 0, 0, 40.8 16, 256, 512, FBGEMM_i8_acc32, 3.3, 60.5, 1.0, 68.3, 54.3 16, 256, 512, FBGEMM_i8_acc16, 3.2, 55.2, 0.5, 61.2, 60.6 128, 128, 128, MKL_fp32, 0, 0, 0, 0, 51.3 128, 128, 128, FBGEMM_i8_acc32, 8.1, 60.4, 0.6, 71.0, 52.4 128, 128, 128, FBGEMM_i8_acc16, 16.0, 44.8, 0.4, 64.6, 56.4 256, 512, 256, MKL_fp32, 0, 0, 0, 0, 95.0 256, 512, 256, FBGEMM_i8_acc32, 12.9, 512.1, 3.9, 542.1, 122.1 256, 512, 256, FBGEMM_i8_acc16, 12.1, 376.4, 2.3, 396.2, 165.8 1024, 1024, 1024, MKL_fp32, 0, 0, 0, 0, 114.9 1024, 1024, 1024, FBGEMM_i8_acc32, 116.9, 13999.2, 47.9, 14276.1, 150.3 1024, 1024, 1024, FBGEMM_i8_acc16, 125.7, 10490.3, 31.8, 10730.1, 200.0 TODO: add mkl-dnn as well. Reviewed By: jianyuh Differential Revision: D14196397 fbshipit-source-id: 4cfb22374a6553a774d2f92ef37e295b7296de8d | |||
| 2019-02-20 | increase test coverage (#78) | Jongsoo Park | |
| Summary: Pull Request resolved: https://github.com/pytorch/FBGEMM/pull/78 Increase test coverage like transposing A Reviewed By: protonu Differential Revision: D14121297 fbshipit-source-id: a6e21442dc47e8cd725b795dbaf8614719f013fb | |||
| 2018-11-26 | remove unnecessary zero_point argument from constructors (#14323) | Jongsoo Park | |
| Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/14323 Pull Request resolved: https://github.com/pytorch/FBGEMM/pull/24 As title says. Reviewed By: dskhudia Differential Revision: D13167073 fbshipit-source-id: 6d6c526fd6e29a14e97f71a0881f28ada8703107 | |||
| 2018-11-16 | grouped (batched) gemm (#7) | Jongsoo Park | |
| Summary: Pull Request resolved: https://github.com/pytorch/FBGEMM/pull/7 This diff allows groups > 1 . Will have a separate diff for im2col + gemm fusion and conv with group > 1 . Reviewed By: jianyuh Differential Revision: D13039210 fbshipit-source-id: f7b3b0dbdb67fc6bc865de88292f034b252d029d | |||
| 2018-11-08 | Sync with internal copy: Asymmetric padding; fbgemm2 -> fbgemm | Jianyu Huang | |
| 2018-11-04 | Syncing with internal version. Fixes for Mac/clang build. Other minor fixes | dskhudia | |
| 2018-10-31 | Initial commit | Daya S Khudia | |
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