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Commits on Jul 26, 2019

• fused qconv2d+relu kernel (pytorch#23353)

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• Add better performing versions for groupwise and depthwise convolutions (pytorch#22869)

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Commits on Jul 1, 2019

• Adding qconv unpack operator for serialization (pytorch#22354)

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Commits on Jun 12, 2019

• Enable groupwise for qconv (pytorch#21592)

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Commits on Jun 11, 2019

• randomized testing for qconv (pytorch#21436)

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Commits on Jun 6, 2019

• Remove unneeded headers (pytorch#21393)

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Commits on Jun 5, 2019

• Fix a bug in qconv (pytorch#21294)

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Commits on May 30, 2019

• Use QTensor for bias (pytorch#21038)

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Commits on May 23, 2019

• Quantized Conv2d operator (pytorch#20772)

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Commits on May 21, 2019

• Quantized Conv2d operator (pytorch#20064)

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Commits on Apr 30, 2019

• Improve performance of Int8SpatialBN (needed for DF4 quantization) (pytorch#19702)

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Commits on Dec 5, 2018

• File name change for FbgemmI8Depthwise.h and FbgemmI8Depthwise.cc (pytorch#14725)

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• Move avx2 specific code in different source files (pytorch#28)

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Commits on Nov 30, 2018

• Unit tests need better compilation flow (pytorch#14547)

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Commits on Nov 20, 2018

• OSS build fix (pytorch#14192)

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Commits on Nov 19, 2018

• Use fbgemm revision file added by shipit (pytorch#14105)

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Commits on Nov 16, 2018

• Turn fbgemm off by default for pytorch (pytorch#14048)

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Commits on Nov 14, 2018

• submodule update to fix compilation warnings (pytorch#13925)

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Commits on Nov 6, 2018

• CMake integration for int8 server operators

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• fbgemm submodule update (pytorch#13592)

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Commits on Nov 5, 2018

• fbgemm submodule update (pytorch#13562)

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Commits on Nov 4, 2018

• update fbgemm submodule (pytorch#13547)

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Commits on Nov 1, 2018

• added fbgemm as submodule (pytorch#13354)

  

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