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Commits on Feb 8, 2021

• removing parallel build for OSS (pytorch#509)

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Commits on Oct 16, 2020

• Add missing copyright header (pytorch#443)

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Commits on Oct 2, 2020

• Matrix transpose kernels for int8/uint8 datatypes (pytorch#431)

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Commits on Sep 14, 2020

• part3 Move embedding dequantization kernels to fbgemm for better sharing between C2/PT (pytorch#426)

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Commits on Sep 12, 2020

• Improve SLS performance on BDW by reducing port 5 pressure (pytorch#429)

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Commits on Sep 4, 2020

• part2: Move embedding quantization kernels to fbgemm for better sharing between C2/PT (pytorch#425)

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Commits on Sep 2, 2020

• To fix a windows failure (pytorch#424)

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Commits on Aug 31, 2020

• Move embedding quantization kernels to fbgemm for better sharing between C2/PT (pytorch#419)

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Commits on Aug 29, 2020

• Remove usage of _mm_maskmoveu_si128 (pytorch#421)

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Commits on Aug 27, 2020

• Reduce code include in files compiled with avx2 flag (pytorch#416)

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Commits on Aug 11, 2020

• Adding missing copyright headers (pytorch#407)

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Commits on Aug 5, 2020

• Fix confusing comment

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Commits on Jul 21, 2020

• Bug fix in depthwise conv (pytorch#395)

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Commits on May 14, 2020

• Minor improvements in GEMM Kernels (pytorch#368)

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Commits on Apr 30, 2020

• asmjit submodule update (pytorch#364)

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Commits on Apr 23, 2020

• Zero point addition after rounding in quantization routines (pytorch#362)

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Commits on Apr 9, 2020

• Merge pull request pytorch#345 from jspark1105/fixup-T64383689-master

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Commits on Apr 7, 2020

• Match numerics of quantize with vector path and fake quantize (pytorch#340)

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Commits on Mar 21, 2020

• Quantize should work even if the value after quantization becomes inf (pytorch#317)

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• Quantize should work even if the value after quantization becomes inf (pytorch#107)

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• Make spmmfp32 and spmmi8 benchmark consistent with tests (pytorch#315)

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• Output formatting of results

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• Update readme with link to wiki page

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• Bug fixes in default path for fp16 (pytorch#251)

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• Cmake changes for MSVC build (pytorch#242)

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• Allocate memory instead of using variable length arrays (pytorch#241)

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• More fixes related to MSVC build (pytorch#240)

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• fix perf regression in resnet50 and resnet101 (pytorch#239)

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• Fix multi-instance benchmarking for fp16 (pytorch#246)

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• attributes not at the right place

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• Handle remainder loop with masked SIMD instructions (pytorch#235)

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• Adding missing copyright message

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• Using import/export correctly

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• Avoid GNU compiler specific C++ extension

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• Streamline usage of attributes (pytorch#222)

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