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Commits on Feb 4, 2020

• changes for shared release on windows (pytorch#284)

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  Hongzhang Shan

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  e77369b

Commits on Jan 31, 2020

• Enable FMA operation for windows (pytorch#273)

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  Hongzhang Shan

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  edc4a4f

Commits on Jan 3, 2020

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

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  dskhudia

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  4eb66bc

Commits on Dec 20, 2019

• Using import/export correctly

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  dskhudia

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  f12539b

Commits on Dec 4, 2019

• Vector and scalar path should produce the same result

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  dskhudia

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  54c89b5

Commits on Nov 18, 2019

• Fix the Lint issue for the header files (pytorch#197)

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  jianyuh

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  62c3b48

Commits on Oct 23, 2019

• Better groupwise conv for small number of channels per group (pytorch#145)

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  dskhudia

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  cf7a2fb

Commits on Oct 15, 2019

• move avx2 masks to MaskAvx2.h and reuse (pytorch#141)

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  jspark1105

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  f40e2d0

Commits on Sep 13, 2019

• add missing instantiation for float bias for gconv (pytorch#127)

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  dskhudia

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  c8cac64

Commits on Sep 11, 2019

• ReQuantization with FP32 bias

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  dskhudia

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  637288b

Commits on Sep 3, 2019

• disable clang formatting in a few array definitions (pytorch#121)

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  jspark1105

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  e55a596

Commits on Aug 29, 2019

• int8 specialization for AVX2 Quantize routine (pytorch#120)

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  James Reed

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  d4bfa96

Commits on Apr 19, 2019

• make sure cpuinfo_initialize called before fbgemmHasAvx2/512Support (pytorch#94)

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  jspark1105

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  6ec218e

Commits on Mar 13, 2019

• optimize requantize for float out processing (pytorch#85)

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  jspark1105

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  6011ce3

Commits on Feb 12, 2019

• group conv optimized for 16 channels per group (pytorch#68)

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  jspark1105

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  86eeae2

Commits on Feb 2, 2019

• gconv optimized for 8 channels per group (pytorch#65)

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  jspark1105

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  df7b1c1

Commits on Feb 1, 2019

• specialized requantization for gconv (pytorch#61)

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  jspark1105

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Commits on Jan 31, 2019

• optimize requantization remainder (pytorch#64)

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  jspark1105

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  a98f5d8

Commits on Dec 5, 2018

• avx2 intrinsic separation from OutputProcessing-inl.h (pytorch#38)

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  dskhudia

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  7e1b543

• clean up PackAWithQuantRowOffset from avx2 intrinsics (pytorch#36)

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  dskhudia

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  a919889

• avx2 specific code in a separate file for QuantUtils (pytorch#29)

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  dskhudia

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  bf398ec

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