Welcome to mirror list, hosted at ThFree Co, Russian Federation.

github.com/marian-nmt/FBGEMM.git - Unnamed repository; edit this file 'description' to name the repository.
summaryrefslogtreecommitdiff
path: root/bench/Im2ColFusedRequantizeAcc16Benchmark.cc
AgeCommit message (Collapse)Author
2018-12-04Fix the group issue in the benchmark and use ResNext101 conv shapes (#32)Jianyu Huang
Summary: Pull Request resolved: https://github.com/pytorch/FBGEMM/pull/32 - Fix the group convolution issues in the benchmark - Add the convolution shapes in ResNext101 Result: (The following results are tested and collected on my devserver.) ResNext101: int16 Accumulation: batch_size:1; remove 1x1 convolutions: P60395456 ResNext101: int32 Accumulation: batch_size:1; remove 1x1 convolutions: P60395457 ResNext101: int16 Accumulation: batch_size:1 P60394563 ResNext101: int32 Accumulation: batch_size:1 P60394565 ResNext101: int16 Accumulation: batch_size:50 P60394548 ResNext101: int32 Accumulation: batch_size:50 P60394552 Xray OCR: int16 Accumulation: P60394527 Xray OCR: int32 Accumulation: P60394534 Reviewed By: jspark1105 Differential Revision: D13286215 fbshipit-source-id: e78b691999006c25e92a746783b8bd1b87703a38
2018-11-27per-group and per-channel quantization (#14340)Jongsoo Park
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/14340 Pull Request resolved: https://github.com/pytorch/FBGEMM/pull/25 Per-group and per-channel quantization in fbgemm This diff also cleans up explicit template instantiation using macro expansion This diff also changes randFill interface which was easy to make mistakes of generating integer random numbers for floating point vectors. Using this in DNNLOWP operators will be done in a separate diff. Reviewed By: dskhudia Differential Revision: D13176386 fbshipit-source-id: e46c53e31e21520bded71b8ed86e8b19e010e2dd
2018-11-26remove 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
2018-11-19clang-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
2018-11-16grouped (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
2018-11-08Sync with internal copy: Asymmetric padding; fbgemm2 -> fbgemmJianyu Huang
2018-11-06generalized conv_param_t and download third party libraries in build dirdskhudia
2018-11-03Manually syncing with internal copydskhudia
2018-10-31Initial commitDaya S Khudia
    generated by cgit v1.2.3 (git 2.25.1) at 2024-08-28 04:23:17 +0300