2014-01-29 11:43:05 -08:00
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2014 Benoit Steiner (benoit.steiner.goog@gmail.com)
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#ifndef EIGEN_COMPLEX_AVX_H
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#define EIGEN_COMPLEX_AVX_H
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namespace Eigen {
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namespace internal {
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//---------- float ----------
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struct Packet4cf
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{
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EIGEN_STRONG_INLINE Packet4cf() {}
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EIGEN_STRONG_INLINE explicit Packet4cf(const __m256& a) : v(a) {}
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__m256 v;
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};
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2018-12-06 15:58:06 +01:00
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#ifndef EIGEN_VECTORIZE_AVX512
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2014-01-29 11:43:05 -08:00
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template<> struct packet_traits<std::complex<float> > : default_packet_traits
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{
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typedef Packet4cf type;
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2014-03-28 10:18:04 +01:00
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typedef Packet2cf half;
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2014-01-29 11:43:05 -08:00
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enum {
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Vectorizable = 1,
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AlignedOnScalar = 1,
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size = 4,
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2014-03-28 10:18:04 +01:00
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HasHalfPacket = 1,
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2014-01-29 11:43:05 -08:00
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HasAdd = 1,
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HasSub = 1,
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HasMul = 1,
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HasDiv = 1,
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HasNegate = 1,
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HasAbs = 0,
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HasAbs2 = 0,
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HasMin = 0,
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HasMax = 0,
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HasSetLinear = 0
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};
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};
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2018-12-06 15:58:06 +01:00
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#endif
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2014-01-29 11:43:05 -08:00
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Adding lowlevel APIs for optimized RHS packet load in TensorFlow
SpatialConvolution
Low-level APIs are added in order to optimized packet load in gemm_pack_rhs
in TensorFlow SpatialConvolution. The optimization is for scenario when a
packet is split across 2 adjacent columns. In this case we read it as two
'partial' packets and then merge these into 1. Currently this only works for
Packet16f (AVX512) and Packet8f (AVX2). We plan to add this for other
packet types (such as Packet8d) also.
This optimization shows significant speedup in SpatialConvolution with
certain parameters. Some examples are below.
Benchmark parameters are specified as:
Batch size, Input dim, Depth, Num of filters, Filter dim
Speedup numbers are specified for number of threads 1, 2, 4, 8, 16.
AVX512:
Parameters | Speedup (Num of threads: 1, 2, 4, 8, 16)
----------------------------|------------------------------------------
128, 24x24, 3, 64, 5x5 |2.18X, 2.13X, 1.73X, 1.64X, 1.66X
128, 24x24, 1, 64, 8x8 |2.00X, 1.98X, 1.93X, 1.91X, 1.91X
32, 24x24, 3, 64, 5x5 |2.26X, 2.14X, 2.17X, 2.22X, 2.33X
128, 24x24, 3, 64, 3x3 |1.51X, 1.45X, 1.45X, 1.67X, 1.57X
32, 14x14, 24, 64, 5x5 |1.21X, 1.19X, 1.16X, 1.70X, 1.17X
128, 128x128, 3, 96, 11x11 |2.17X, 2.18X, 2.19X, 2.20X, 2.18X
AVX2:
Parameters | Speedup (Num of threads: 1, 2, 4, 8, 16)
----------------------------|------------------------------------------
128, 24x24, 3, 64, 5x5 | 1.66X, 1.65X, 1.61X, 1.56X, 1.49X
32, 24x24, 3, 64, 5x5 | 1.71X, 1.63X, 1.77X, 1.58X, 1.68X
128, 24x24, 1, 64, 5x5 | 1.44X, 1.40X, 1.38X, 1.37X, 1.33X
128, 24x24, 3, 64, 3x3 | 1.68X, 1.63X, 1.58X, 1.56X, 1.62X
128, 128x128, 3, 96, 11x11 | 1.36X, 1.36X, 1.37X, 1.37X, 1.37X
In the higher level benchmark cifar10, we observe a runtime improvement
of around 6% for AVX512 on Intel Skylake server (8 cores).
On lower level PackRhs micro-benchmarks specified in TensorFlow
tensorflow/core/kernels/eigen_spatial_convolutions_test.cc, we observe
the following runtime numbers:
AVX512:
Parameters | Runtime without patch (ns) | Runtime with patch (ns) | Speedup
---------------------------------------------------------------|----------------------------|-------------------------|---------
BM_RHS_NAME(PackRhs, 128, 24, 24, 3, 64, 5, 5, 1, 1, 256, 56) | 41350 | 15073 | 2.74X
BM_RHS_NAME(PackRhs, 32, 64, 64, 32, 64, 5, 5, 1, 1, 256, 56) | 7277 | 7341 | 0.99X
BM_RHS_NAME(PackRhs, 32, 64, 64, 32, 64, 5, 5, 2, 2, 256, 56) | 8675 | 8681 | 1.00X
BM_RHS_NAME(PackRhs, 32, 64, 64, 30, 64, 5, 5, 1, 1, 256, 56) | 24155 | 16079 | 1.50X
BM_RHS_NAME(PackRhs, 32, 64, 64, 30, 64, 5, 5, 2, 2, 256, 56) | 25052 | 17152 | 1.46X
BM_RHS_NAME(PackRhs, 32, 256, 256, 4, 16, 8, 8, 1, 1, 256, 56) | 18269 | 18345 | 1.00X
BM_RHS_NAME(PackRhs, 32, 256, 256, 4, 16, 8, 8, 2, 4, 256, 56) | 19468 | 19872 | 0.98X
BM_RHS_NAME(PackRhs, 32, 64, 64, 4, 16, 3, 3, 1, 1, 36, 432) | 156060 | 42432 | 3.68X
BM_RHS_NAME(PackRhs, 32, 64, 64, 4, 16, 3, 3, 2, 2, 36, 432) | 132701 | 36944 | 3.59X
AVX2:
Parameters | Runtime without patch (ns) | Runtime with patch (ns) | Speedup
---------------------------------------------------------------|----------------------------|-------------------------|---------
BM_RHS_NAME(PackRhs, 128, 24, 24, 3, 64, 5, 5, 1, 1, 256, 56) | 26233 | 12393 | 2.12X
BM_RHS_NAME(PackRhs, 32, 64, 64, 32, 64, 5, 5, 1, 1, 256, 56) | 6091 | 6062 | 1.00X
BM_RHS_NAME(PackRhs, 32, 64, 64, 32, 64, 5, 5, 2, 2, 256, 56) | 7427 | 7408 | 1.00X
BM_RHS_NAME(PackRhs, 32, 64, 64, 30, 64, 5, 5, 1, 1, 256, 56) | 23453 | 20826 | 1.13X
BM_RHS_NAME(PackRhs, 32, 64, 64, 30, 64, 5, 5, 2, 2, 256, 56) | 23167 | 22091 | 1.09X
BM_RHS_NAME(PackRhs, 32, 256, 256, 4, 16, 8, 8, 1, 1, 256, 56) | 23422 | 23682 | 0.99X
BM_RHS_NAME(PackRhs, 32, 256, 256, 4, 16, 8, 8, 2, 4, 256, 56) | 23165 | 23663 | 0.98X
BM_RHS_NAME(PackRhs, 32, 64, 64, 4, 16, 3, 3, 1, 1, 36, 432) | 72689 | 44969 | 1.62X
BM_RHS_NAME(PackRhs, 32, 64, 64, 4, 16, 3, 3, 2, 2, 36, 432) | 61732 | 39779 | 1.55X
All benchmarks on Intel Skylake server with 8 cores.
2019-04-20 06:46:43 +00:00
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template<> struct unpacket_traits<Packet4cf> { typedef std::complex<float> type; enum {size=4, alignment=Aligned32, vectorizable=true, masked_load_available=false}; typedef Packet2cf half; };
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2014-01-29 11:43:05 -08:00
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template<> EIGEN_STRONG_INLINE Packet4cf padd<Packet4cf>(const Packet4cf& a, const Packet4cf& b) { return Packet4cf(_mm256_add_ps(a.v,b.v)); }
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template<> EIGEN_STRONG_INLINE Packet4cf psub<Packet4cf>(const Packet4cf& a, const Packet4cf& b) { return Packet4cf(_mm256_sub_ps(a.v,b.v)); }
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template<> EIGEN_STRONG_INLINE Packet4cf pnegate(const Packet4cf& a)
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{
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return Packet4cf(pnegate(a.v));
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}
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template<> EIGEN_STRONG_INLINE Packet4cf pconj(const Packet4cf& a)
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{
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const __m256 mask = _mm256_castsi256_ps(_mm256_setr_epi32(0x00000000,0x80000000,0x00000000,0x80000000,0x00000000,0x80000000,0x00000000,0x80000000));
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return Packet4cf(_mm256_xor_ps(a.v,mask));
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}
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template<> EIGEN_STRONG_INLINE Packet4cf pmul<Packet4cf>(const Packet4cf& a, const Packet4cf& b)
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{
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__m256 tmp1 = _mm256_mul_ps(_mm256_moveldup_ps(a.v), b.v);
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__m256 tmp2 = _mm256_mul_ps(_mm256_movehdup_ps(a.v), _mm256_permute_ps(b.v, _MM_SHUFFLE(2,3,0,1)));
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__m256 result = _mm256_addsub_ps(tmp1, tmp2);
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return Packet4cf(result);
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}
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2019-01-07 16:53:36 -08:00
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template <>
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EIGEN_STRONG_INLINE Packet4cf pcmp_eq(const Packet4cf& a, const Packet4cf& b) {
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__m256 eq = _mm256_cmp_ps(a.v, b.v, _CMP_EQ_OQ);
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2019-01-09 16:34:23 -08:00
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return Packet4cf(_mm256_and_ps(eq, _mm256_permute_ps(eq, 0xb1)));
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2019-01-07 16:53:36 -08:00
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}
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2019-01-16 14:43:33 -08:00
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template<> EIGEN_STRONG_INLINE Packet4cf ptrue<Packet4cf>(const Packet4cf& a) { return Packet4cf(ptrue(Packet8f(a.v))); }
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template<> EIGEN_STRONG_INLINE Packet4cf pnot<Packet4cf>(const Packet4cf& a) { return Packet4cf(pnot(Packet8f(a.v))); }
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2014-01-29 11:43:05 -08:00
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template<> EIGEN_STRONG_INLINE Packet4cf pand <Packet4cf>(const Packet4cf& a, const Packet4cf& b) { return Packet4cf(_mm256_and_ps(a.v,b.v)); }
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template<> EIGEN_STRONG_INLINE Packet4cf por <Packet4cf>(const Packet4cf& a, const Packet4cf& b) { return Packet4cf(_mm256_or_ps(a.v,b.v)); }
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template<> EIGEN_STRONG_INLINE Packet4cf pxor <Packet4cf>(const Packet4cf& a, const Packet4cf& b) { return Packet4cf(_mm256_xor_ps(a.v,b.v)); }
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2018-12-08 14:27:48 +01:00
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template<> EIGEN_STRONG_INLINE Packet4cf pandnot<Packet4cf>(const Packet4cf& a, const Packet4cf& b) { return Packet4cf(_mm256_andnot_ps(b.v,a.v)); }
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2014-01-29 11:43:05 -08:00
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template<> EIGEN_STRONG_INLINE Packet4cf pload <Packet4cf>(const std::complex<float>* from) { EIGEN_DEBUG_ALIGNED_LOAD return Packet4cf(pload<Packet8f>(&numext::real_ref(*from))); }
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template<> EIGEN_STRONG_INLINE Packet4cf ploadu<Packet4cf>(const std::complex<float>* from) { EIGEN_DEBUG_UNALIGNED_LOAD return Packet4cf(ploadu<Packet8f>(&numext::real_ref(*from))); }
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template<> EIGEN_STRONG_INLINE Packet4cf pset1<Packet4cf>(const std::complex<float>& from)
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{
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2014-04-18 11:43:13 +02:00
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return Packet4cf(_mm256_castpd_ps(_mm256_broadcast_sd((const double*)(const void*)&from)));
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2014-01-29 11:43:05 -08:00
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}
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template<> EIGEN_STRONG_INLINE Packet4cf ploaddup<Packet4cf>(const std::complex<float>* from)
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{
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2014-03-30 22:43:47 +02:00
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// FIXME The following might be optimized using _mm256_movedup_pd
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Packet2cf a = ploaddup<Packet2cf>(from);
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Packet2cf b = ploaddup<Packet2cf>(from+1);
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return Packet4cf(_mm256_insertf128_ps(_mm256_castps128_ps256(a.v), b.v, 1));
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2014-01-29 11:43:05 -08:00
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}
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template<> EIGEN_STRONG_INLINE void pstore <std::complex<float> >(std::complex<float>* to, const Packet4cf& from) { EIGEN_DEBUG_ALIGNED_STORE pstore(&numext::real_ref(*to), from.v); }
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template<> EIGEN_STRONG_INLINE void pstoreu<std::complex<float> >(std::complex<float>* to, const Packet4cf& from) { EIGEN_DEBUG_UNALIGNED_STORE pstoreu(&numext::real_ref(*to), from.v); }
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2015-02-16 15:05:41 +01:00
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template<> EIGEN_DEVICE_FUNC inline Packet4cf pgather<std::complex<float>, Packet4cf>(const std::complex<float>* from, Index stride)
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2014-03-27 17:42:25 -07:00
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{
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return Packet4cf(_mm256_set_ps(std::imag(from[3*stride]), std::real(from[3*stride]),
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2014-03-30 22:43:47 +02:00
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std::imag(from[2*stride]), std::real(from[2*stride]),
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std::imag(from[1*stride]), std::real(from[1*stride]),
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std::imag(from[0*stride]), std::real(from[0*stride])));
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2014-03-27 17:42:25 -07:00
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}
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2015-02-16 15:05:41 +01:00
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template<> EIGEN_DEVICE_FUNC inline void pscatter<std::complex<float>, Packet4cf>(std::complex<float>* to, const Packet4cf& from, Index stride)
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2014-03-27 17:42:25 -07:00
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{
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__m128 low = _mm256_extractf128_ps(from.v, 0);
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to[stride*0] = std::complex<float>(_mm_cvtss_f32(_mm_shuffle_ps(low, low, 0)),
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2014-03-30 22:43:47 +02:00
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_mm_cvtss_f32(_mm_shuffle_ps(low, low, 1)));
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2014-03-27 17:42:25 -07:00
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to[stride*1] = std::complex<float>(_mm_cvtss_f32(_mm_shuffle_ps(low, low, 2)),
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2014-03-30 22:43:47 +02:00
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_mm_cvtss_f32(_mm_shuffle_ps(low, low, 3)));
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2014-03-27 17:42:25 -07:00
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__m128 high = _mm256_extractf128_ps(from.v, 1);
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to[stride*2] = std::complex<float>(_mm_cvtss_f32(_mm_shuffle_ps(high, high, 0)),
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2014-03-30 22:43:47 +02:00
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_mm_cvtss_f32(_mm_shuffle_ps(high, high, 1)));
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2014-03-27 17:42:25 -07:00
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to[stride*3] = std::complex<float>(_mm_cvtss_f32(_mm_shuffle_ps(high, high, 2)),
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2014-03-30 22:43:47 +02:00
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_mm_cvtss_f32(_mm_shuffle_ps(high, high, 3)));
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2014-03-27 17:42:25 -07:00
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}
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2014-01-29 11:43:05 -08:00
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template<> EIGEN_STRONG_INLINE std::complex<float> pfirst<Packet4cf>(const Packet4cf& a)
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{
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2014-03-30 22:43:47 +02:00
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return pfirst(Packet2cf(_mm256_castps256_ps128(a.v)));
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2014-01-29 11:43:05 -08:00
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}
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template<> EIGEN_STRONG_INLINE Packet4cf preverse(const Packet4cf& a) {
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2014-03-25 09:00:43 -07:00
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__m128 low = _mm256_extractf128_ps(a.v, 0);
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__m128 high = _mm256_extractf128_ps(a.v, 1);
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__m128d lowd = _mm_castps_pd(low);
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__m128d highd = _mm_castps_pd(high);
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low = _mm_castpd_ps(_mm_shuffle_pd(lowd,lowd,0x1));
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high = _mm_castpd_ps(_mm_shuffle_pd(highd,highd,0x1));
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2014-03-26 12:03:31 -07:00
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__m256 result = _mm256_setzero_ps();
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2014-03-25 09:00:43 -07:00
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result = _mm256_insertf128_ps(result, low, 1);
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result = _mm256_insertf128_ps(result, high, 0);
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2014-01-29 11:43:05 -08:00
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return Packet4cf(result);
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}
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template<> EIGEN_STRONG_INLINE std::complex<float> predux<Packet4cf>(const Packet4cf& a)
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{
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2014-03-27 14:47:00 +01:00
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return predux(padd(Packet2cf(_mm256_extractf128_ps(a.v,0)),
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Packet2cf(_mm256_extractf128_ps(a.v,1))));
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2014-01-29 11:43:05 -08:00
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}
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template<> EIGEN_STRONG_INLINE Packet4cf preduxp<Packet4cf>(const Packet4cf* vecs)
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{
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2014-03-27 14:47:00 +01:00
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Packet8f t0 = _mm256_shuffle_ps(vecs[0].v, vecs[0].v, _MM_SHUFFLE(3, 1, 2 ,0));
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Packet8f t1 = _mm256_shuffle_ps(vecs[1].v, vecs[1].v, _MM_SHUFFLE(3, 1, 2 ,0));
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t0 = _mm256_hadd_ps(t0,t1);
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Packet8f t2 = _mm256_shuffle_ps(vecs[2].v, vecs[2].v, _MM_SHUFFLE(3, 1, 2 ,0));
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Packet8f t3 = _mm256_shuffle_ps(vecs[3].v, vecs[3].v, _MM_SHUFFLE(3, 1, 2 ,0));
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t2 = _mm256_hadd_ps(t2,t3);
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t1 = _mm256_permute2f128_ps(t0,t2, 0 + (2<<4));
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t3 = _mm256_permute2f128_ps(t0,t2, 1 + (3<<4));
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return Packet4cf(_mm256_add_ps(t1,t3));
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2014-01-29 11:43:05 -08:00
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}
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template<> EIGEN_STRONG_INLINE std::complex<float> predux_mul<Packet4cf>(const Packet4cf& a)
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{
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2014-03-27 14:47:00 +01:00
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return predux_mul(pmul(Packet2cf(_mm256_extractf128_ps(a.v, 0)),
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Packet2cf(_mm256_extractf128_ps(a.v, 1))));
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2014-01-29 11:43:05 -08:00
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}
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template<int Offset>
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struct palign_impl<Offset,Packet4cf>
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{
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static EIGEN_STRONG_INLINE void run(Packet4cf& first, const Packet4cf& second)
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{
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if (Offset==0) return;
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2014-03-27 14:47:00 +01:00
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palign_impl<Offset*2,Packet8f>::run(first.v, second.v);
|
2014-01-29 11:43:05 -08:00
|
|
|
}
|
|
|
|
|
};
|
|
|
|
|
|
|
|
|
|
template<> struct conj_helper<Packet4cf, Packet4cf, false,true>
|
|
|
|
|
{
|
|
|
|
|
EIGEN_STRONG_INLINE Packet4cf pmadd(const Packet4cf& x, const Packet4cf& y, const Packet4cf& c) const
|
|
|
|
|
{ return padd(pmul(x,y),c); }
|
|
|
|
|
|
|
|
|
|
EIGEN_STRONG_INLINE Packet4cf pmul(const Packet4cf& a, const Packet4cf& b) const
|
|
|
|
|
{
|
|
|
|
|
return internal::pmul(a, pconj(b));
|
|
|
|
|
}
|
|
|
|
|
};
|
|
|
|
|
|
|
|
|
|
template<> struct conj_helper<Packet4cf, Packet4cf, true,false>
|
|
|
|
|
{
|
|
|
|
|
EIGEN_STRONG_INLINE Packet4cf pmadd(const Packet4cf& x, const Packet4cf& y, const Packet4cf& c) const
|
|
|
|
|
{ return padd(pmul(x,y),c); }
|
|
|
|
|
|
|
|
|
|
EIGEN_STRONG_INLINE Packet4cf pmul(const Packet4cf& a, const Packet4cf& b) const
|
|
|
|
|
{
|
|
|
|
|
return internal::pmul(pconj(a), b);
|
|
|
|
|
}
|
|
|
|
|
};
|
|
|
|
|
|
|
|
|
|
template<> struct conj_helper<Packet4cf, Packet4cf, true,true>
|
|
|
|
|
{
|
|
|
|
|
EIGEN_STRONG_INLINE Packet4cf pmadd(const Packet4cf& x, const Packet4cf& y, const Packet4cf& c) const
|
|
|
|
|
{ return padd(pmul(x,y),c); }
|
|
|
|
|
|
|
|
|
|
EIGEN_STRONG_INLINE Packet4cf pmul(const Packet4cf& a, const Packet4cf& b) const
|
|
|
|
|
{
|
|
|
|
|
return pconj(internal::pmul(a, b));
|
|
|
|
|
}
|
|
|
|
|
};
|
|
|
|
|
|
2017-06-15 10:16:30 +02:00
|
|
|
EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet4cf,Packet8f)
|
2014-01-29 11:43:05 -08:00
|
|
|
|
|
|
|
|
template<> EIGEN_STRONG_INLINE Packet4cf pdiv<Packet4cf>(const Packet4cf& a, const Packet4cf& b)
|
|
|
|
|
{
|
2014-03-26 15:11:18 -07:00
|
|
|
Packet4cf num = pmul(a, pconj(b));
|
|
|
|
|
__m256 tmp = _mm256_mul_ps(b.v, b.v);
|
|
|
|
|
__m256 tmp2 = _mm256_shuffle_ps(tmp,tmp,0xB1);
|
|
|
|
|
__m256 denom = _mm256_add_ps(tmp, tmp2);
|
|
|
|
|
return Packet4cf(_mm256_div_ps(num.v, denom));
|
2014-01-29 11:43:05 -08:00
|
|
|
}
|
|
|
|
|
|
|
|
|
|
template<> EIGEN_STRONG_INLINE Packet4cf pcplxflip<Packet4cf>(const Packet4cf& x)
|
|
|
|
|
{
|
2014-03-27 14:47:00 +01:00
|
|
|
return Packet4cf(_mm256_shuffle_ps(x.v, x.v, _MM_SHUFFLE(2, 3, 0 ,1)));
|
2014-01-29 11:43:05 -08:00
|
|
|
}
|
|
|
|
|
|
|
|
|
|
//---------- double ----------
|
|
|
|
|
struct Packet2cd
|
|
|
|
|
{
|
|
|
|
|
EIGEN_STRONG_INLINE Packet2cd() {}
|
|
|
|
|
EIGEN_STRONG_INLINE explicit Packet2cd(const __m256d& a) : v(a) {}
|
|
|
|
|
__m256d v;
|
|
|
|
|
};
|
|
|
|
|
|
2018-12-06 15:58:06 +01:00
|
|
|
#ifndef EIGEN_VECTORIZE_AVX512
|
2014-01-29 11:43:05 -08:00
|
|
|
template<> struct packet_traits<std::complex<double> > : default_packet_traits
|
|
|
|
|
{
|
|
|
|
|
typedef Packet2cd type;
|
2014-03-28 10:18:04 +01:00
|
|
|
typedef Packet1cd half;
|
2014-01-29 11:43:05 -08:00
|
|
|
enum {
|
|
|
|
|
Vectorizable = 1,
|
|
|
|
|
AlignedOnScalar = 0,
|
|
|
|
|
size = 2,
|
2014-03-28 10:18:04 +01:00
|
|
|
HasHalfPacket = 1,
|
2014-01-29 11:43:05 -08:00
|
|
|
|
|
|
|
|
HasAdd = 1,
|
|
|
|
|
HasSub = 1,
|
|
|
|
|
HasMul = 1,
|
|
|
|
|
HasDiv = 1,
|
|
|
|
|
HasNegate = 1,
|
|
|
|
|
HasAbs = 0,
|
|
|
|
|
HasAbs2 = 0,
|
|
|
|
|
HasMin = 0,
|
|
|
|
|
HasMax = 0,
|
|
|
|
|
HasSetLinear = 0
|
|
|
|
|
};
|
|
|
|
|
};
|
2018-12-06 15:58:06 +01:00
|
|
|
#endif
|
2014-01-29 11:43:05 -08:00
|
|
|
|
Adding lowlevel APIs for optimized RHS packet load in TensorFlow
SpatialConvolution
Low-level APIs are added in order to optimized packet load in gemm_pack_rhs
in TensorFlow SpatialConvolution. The optimization is for scenario when a
packet is split across 2 adjacent columns. In this case we read it as two
'partial' packets and then merge these into 1. Currently this only works for
Packet16f (AVX512) and Packet8f (AVX2). We plan to add this for other
packet types (such as Packet8d) also.
This optimization shows significant speedup in SpatialConvolution with
certain parameters. Some examples are below.
Benchmark parameters are specified as:
Batch size, Input dim, Depth, Num of filters, Filter dim
Speedup numbers are specified for number of threads 1, 2, 4, 8, 16.
AVX512:
Parameters | Speedup (Num of threads: 1, 2, 4, 8, 16)
----------------------------|------------------------------------------
128, 24x24, 3, 64, 5x5 |2.18X, 2.13X, 1.73X, 1.64X, 1.66X
128, 24x24, 1, 64, 8x8 |2.00X, 1.98X, 1.93X, 1.91X, 1.91X
32, 24x24, 3, 64, 5x5 |2.26X, 2.14X, 2.17X, 2.22X, 2.33X
128, 24x24, 3, 64, 3x3 |1.51X, 1.45X, 1.45X, 1.67X, 1.57X
32, 14x14, 24, 64, 5x5 |1.21X, 1.19X, 1.16X, 1.70X, 1.17X
128, 128x128, 3, 96, 11x11 |2.17X, 2.18X, 2.19X, 2.20X, 2.18X
AVX2:
Parameters | Speedup (Num of threads: 1, 2, 4, 8, 16)
----------------------------|------------------------------------------
128, 24x24, 3, 64, 5x5 | 1.66X, 1.65X, 1.61X, 1.56X, 1.49X
32, 24x24, 3, 64, 5x5 | 1.71X, 1.63X, 1.77X, 1.58X, 1.68X
128, 24x24, 1, 64, 5x5 | 1.44X, 1.40X, 1.38X, 1.37X, 1.33X
128, 24x24, 3, 64, 3x3 | 1.68X, 1.63X, 1.58X, 1.56X, 1.62X
128, 128x128, 3, 96, 11x11 | 1.36X, 1.36X, 1.37X, 1.37X, 1.37X
In the higher level benchmark cifar10, we observe a runtime improvement
of around 6% for AVX512 on Intel Skylake server (8 cores).
On lower level PackRhs micro-benchmarks specified in TensorFlow
tensorflow/core/kernels/eigen_spatial_convolutions_test.cc, we observe
the following runtime numbers:
AVX512:
Parameters | Runtime without patch (ns) | Runtime with patch (ns) | Speedup
---------------------------------------------------------------|----------------------------|-------------------------|---------
BM_RHS_NAME(PackRhs, 128, 24, 24, 3, 64, 5, 5, 1, 1, 256, 56) | 41350 | 15073 | 2.74X
BM_RHS_NAME(PackRhs, 32, 64, 64, 32, 64, 5, 5, 1, 1, 256, 56) | 7277 | 7341 | 0.99X
BM_RHS_NAME(PackRhs, 32, 64, 64, 32, 64, 5, 5, 2, 2, 256, 56) | 8675 | 8681 | 1.00X
BM_RHS_NAME(PackRhs, 32, 64, 64, 30, 64, 5, 5, 1, 1, 256, 56) | 24155 | 16079 | 1.50X
BM_RHS_NAME(PackRhs, 32, 64, 64, 30, 64, 5, 5, 2, 2, 256, 56) | 25052 | 17152 | 1.46X
BM_RHS_NAME(PackRhs, 32, 256, 256, 4, 16, 8, 8, 1, 1, 256, 56) | 18269 | 18345 | 1.00X
BM_RHS_NAME(PackRhs, 32, 256, 256, 4, 16, 8, 8, 2, 4, 256, 56) | 19468 | 19872 | 0.98X
BM_RHS_NAME(PackRhs, 32, 64, 64, 4, 16, 3, 3, 1, 1, 36, 432) | 156060 | 42432 | 3.68X
BM_RHS_NAME(PackRhs, 32, 64, 64, 4, 16, 3, 3, 2, 2, 36, 432) | 132701 | 36944 | 3.59X
AVX2:
Parameters | Runtime without patch (ns) | Runtime with patch (ns) | Speedup
---------------------------------------------------------------|----------------------------|-------------------------|---------
BM_RHS_NAME(PackRhs, 128, 24, 24, 3, 64, 5, 5, 1, 1, 256, 56) | 26233 | 12393 | 2.12X
BM_RHS_NAME(PackRhs, 32, 64, 64, 32, 64, 5, 5, 1, 1, 256, 56) | 6091 | 6062 | 1.00X
BM_RHS_NAME(PackRhs, 32, 64, 64, 32, 64, 5, 5, 2, 2, 256, 56) | 7427 | 7408 | 1.00X
BM_RHS_NAME(PackRhs, 32, 64, 64, 30, 64, 5, 5, 1, 1, 256, 56) | 23453 | 20826 | 1.13X
BM_RHS_NAME(PackRhs, 32, 64, 64, 30, 64, 5, 5, 2, 2, 256, 56) | 23167 | 22091 | 1.09X
BM_RHS_NAME(PackRhs, 32, 256, 256, 4, 16, 8, 8, 1, 1, 256, 56) | 23422 | 23682 | 0.99X
BM_RHS_NAME(PackRhs, 32, 256, 256, 4, 16, 8, 8, 2, 4, 256, 56) | 23165 | 23663 | 0.98X
BM_RHS_NAME(PackRhs, 32, 64, 64, 4, 16, 3, 3, 1, 1, 36, 432) | 72689 | 44969 | 1.62X
BM_RHS_NAME(PackRhs, 32, 64, 64, 4, 16, 3, 3, 2, 2, 36, 432) | 61732 | 39779 | 1.55X
All benchmarks on Intel Skylake server with 8 cores.
2019-04-20 06:46:43 +00:00
|
|
|
template<> struct unpacket_traits<Packet2cd> { typedef std::complex<double> type; enum {size=2, alignment=Aligned32, vectorizable=true, masked_load_available=false}; typedef Packet1cd half; };
|
2014-01-29 11:43:05 -08:00
|
|
|
|
|
|
|
|
template<> EIGEN_STRONG_INLINE Packet2cd padd<Packet2cd>(const Packet2cd& a, const Packet2cd& b) { return Packet2cd(_mm256_add_pd(a.v,b.v)); }
|
|
|
|
|
template<> EIGEN_STRONG_INLINE Packet2cd psub<Packet2cd>(const Packet2cd& a, const Packet2cd& b) { return Packet2cd(_mm256_sub_pd(a.v,b.v)); }
|
|
|
|
|
template<> EIGEN_STRONG_INLINE Packet2cd pnegate(const Packet2cd& a) { return Packet2cd(pnegate(a.v)); }
|
|
|
|
|
template<> EIGEN_STRONG_INLINE Packet2cd pconj(const Packet2cd& a)
|
|
|
|
|
{
|
|
|
|
|
const __m256d mask = _mm256_castsi256_pd(_mm256_set_epi32(0x80000000,0x0,0x0,0x0,0x80000000,0x0,0x0,0x0));
|
|
|
|
|
return Packet2cd(_mm256_xor_pd(a.v,mask));
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
template<> EIGEN_STRONG_INLINE Packet2cd pmul<Packet2cd>(const Packet2cd& a, const Packet2cd& b)
|
|
|
|
|
{
|
2014-03-26 15:11:18 -07:00
|
|
|
__m256d tmp1 = _mm256_shuffle_pd(a.v,a.v,0x0);
|
|
|
|
|
__m256d even = _mm256_mul_pd(tmp1, b.v);
|
|
|
|
|
__m256d tmp2 = _mm256_shuffle_pd(a.v,a.v,0xF);
|
|
|
|
|
__m256d tmp3 = _mm256_shuffle_pd(b.v,b.v,0x5);
|
|
|
|
|
__m256d odd = _mm256_mul_pd(tmp2, tmp3);
|
|
|
|
|
return Packet2cd(_mm256_addsub_pd(even, odd));
|
2014-01-29 11:43:05 -08:00
|
|
|
}
|
|
|
|
|
|
2019-01-07 16:53:36 -08:00
|
|
|
template <>
|
|
|
|
|
EIGEN_STRONG_INLINE Packet2cd pcmp_eq(const Packet2cd& a, const Packet2cd& b) {
|
|
|
|
|
__m256d eq = _mm256_cmp_pd(a.v, b.v, _CMP_EQ_OQ);
|
2019-01-09 16:34:23 -08:00
|
|
|
return Packet2cd(pand(eq, _mm256_permute_pd(eq, 0x5)));
|
2019-01-07 16:53:36 -08:00
|
|
|
}
|
|
|
|
|
|
2019-01-16 14:43:33 -08:00
|
|
|
template<> EIGEN_STRONG_INLINE Packet2cd ptrue<Packet2cd>(const Packet2cd& a) { return Packet2cd(ptrue(Packet4d(a.v))); }
|
|
|
|
|
template<> EIGEN_STRONG_INLINE Packet2cd pnot<Packet2cd>(const Packet2cd& a) { return Packet2cd(pnot(Packet4d(a.v))); }
|
2014-01-29 11:43:05 -08:00
|
|
|
template<> EIGEN_STRONG_INLINE Packet2cd pand <Packet2cd>(const Packet2cd& a, const Packet2cd& b) { return Packet2cd(_mm256_and_pd(a.v,b.v)); }
|
|
|
|
|
template<> EIGEN_STRONG_INLINE Packet2cd por <Packet2cd>(const Packet2cd& a, const Packet2cd& b) { return Packet2cd(_mm256_or_pd(a.v,b.v)); }
|
|
|
|
|
template<> EIGEN_STRONG_INLINE Packet2cd pxor <Packet2cd>(const Packet2cd& a, const Packet2cd& b) { return Packet2cd(_mm256_xor_pd(a.v,b.v)); }
|
2018-12-08 14:27:48 +01:00
|
|
|
template<> EIGEN_STRONG_INLINE Packet2cd pandnot<Packet2cd>(const Packet2cd& a, const Packet2cd& b) { return Packet2cd(_mm256_andnot_pd(b.v,a.v)); }
|
2014-01-29 11:43:05 -08:00
|
|
|
|
|
|
|
|
template<> EIGEN_STRONG_INLINE Packet2cd pload <Packet2cd>(const std::complex<double>* from)
|
|
|
|
|
{ EIGEN_DEBUG_ALIGNED_LOAD return Packet2cd(pload<Packet4d>((const double*)from)); }
|
|
|
|
|
template<> EIGEN_STRONG_INLINE Packet2cd ploadu<Packet2cd>(const std::complex<double>* from)
|
|
|
|
|
{ EIGEN_DEBUG_UNALIGNED_LOAD return Packet2cd(ploadu<Packet4d>((const double*)from)); }
|
|
|
|
|
|
2014-03-25 09:00:43 -07:00
|
|
|
template<> EIGEN_STRONG_INLINE Packet2cd pset1<Packet2cd>(const std::complex<double>& from)
|
2014-01-29 11:43:05 -08:00
|
|
|
{
|
2014-04-17 20:51:04 +02:00
|
|
|
// in case casting to a __m128d* is really not safe, then we can still fallback to this version: (much slower though)
|
|
|
|
|
// return Packet2cd(_mm256_loadu2_m128d((const double*)&from,(const double*)&from));
|
|
|
|
|
return Packet2cd(_mm256_broadcast_pd((const __m128d*)(const void*)&from));
|
2014-01-29 11:43:05 -08:00
|
|
|
}
|
|
|
|
|
|
|
|
|
|
template<> EIGEN_STRONG_INLINE Packet2cd ploaddup<Packet2cd>(const std::complex<double>* from) { return pset1<Packet2cd>(*from); }
|
|
|
|
|
|
|
|
|
|
template<> EIGEN_STRONG_INLINE void pstore <std::complex<double> >(std::complex<double> * to, const Packet2cd& from) { EIGEN_DEBUG_ALIGNED_STORE pstore((double*)to, from.v); }
|
|
|
|
|
template<> EIGEN_STRONG_INLINE void pstoreu<std::complex<double> >(std::complex<double> * to, const Packet2cd& from) { EIGEN_DEBUG_UNALIGNED_STORE pstoreu((double*)to, from.v); }
|
|
|
|
|
|
2015-02-16 15:05:41 +01:00
|
|
|
template<> EIGEN_DEVICE_FUNC inline Packet2cd pgather<std::complex<double>, Packet2cd>(const std::complex<double>* from, Index stride)
|
2014-03-27 17:42:25 -07:00
|
|
|
{
|
|
|
|
|
return Packet2cd(_mm256_set_pd(std::imag(from[1*stride]), std::real(from[1*stride]),
|
|
|
|
|
std::imag(from[0*stride]), std::real(from[0*stride])));
|
|
|
|
|
}
|
|
|
|
|
|
2015-02-16 15:05:41 +01:00
|
|
|
template<> EIGEN_DEVICE_FUNC inline void pscatter<std::complex<double>, Packet2cd>(std::complex<double>* to, const Packet2cd& from, Index stride)
|
2014-03-27 17:42:25 -07:00
|
|
|
{
|
|
|
|
|
__m128d low = _mm256_extractf128_pd(from.v, 0);
|
|
|
|
|
to[stride*0] = std::complex<double>(_mm_cvtsd_f64(low), _mm_cvtsd_f64(_mm_shuffle_pd(low, low, 1)));
|
|
|
|
|
__m128d high = _mm256_extractf128_pd(from.v, 1);
|
|
|
|
|
to[stride*1] = std::complex<double>(_mm_cvtsd_f64(high), _mm_cvtsd_f64(_mm_shuffle_pd(high, high, 1)));
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
template<> EIGEN_STRONG_INLINE std::complex<double> pfirst<Packet2cd>(const Packet2cd& a)
|
2014-01-29 11:43:05 -08:00
|
|
|
{
|
2014-03-26 12:03:31 -07:00
|
|
|
__m128d low = _mm256_extractf128_pd(a.v, 0);
|
|
|
|
|
EIGEN_ALIGN16 double res[2];
|
|
|
|
|
_mm_store_pd(res, low);
|
|
|
|
|
return std::complex<double>(res[0],res[1]);
|
2014-01-29 11:43:05 -08:00
|
|
|
}
|
|
|
|
|
|
|
|
|
|
template<> EIGEN_STRONG_INLINE Packet2cd preverse(const Packet2cd& a) {
|
2014-03-25 09:00:43 -07:00
|
|
|
__m256d result = _mm256_permute2f128_pd(a.v, a.v, 1);
|
2014-01-29 11:43:05 -08:00
|
|
|
return Packet2cd(result);
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
template<> EIGEN_STRONG_INLINE std::complex<double> predux<Packet2cd>(const Packet2cd& a)
|
|
|
|
|
{
|
2014-03-27 14:47:00 +01:00
|
|
|
return predux(padd(Packet1cd(_mm256_extractf128_pd(a.v,0)),
|
|
|
|
|
Packet1cd(_mm256_extractf128_pd(a.v,1))));
|
2014-01-29 11:43:05 -08:00
|
|
|
}
|
|
|
|
|
|
|
|
|
|
template<> EIGEN_STRONG_INLINE Packet2cd preduxp<Packet2cd>(const Packet2cd* vecs)
|
|
|
|
|
{
|
2014-03-27 14:47:00 +01:00
|
|
|
Packet4d t0 = _mm256_permute2f128_pd(vecs[0].v,vecs[1].v, 0 + (2<<4));
|
|
|
|
|
Packet4d t1 = _mm256_permute2f128_pd(vecs[0].v,vecs[1].v, 1 + (3<<4));
|
|
|
|
|
|
|
|
|
|
return Packet2cd(_mm256_add_pd(t0,t1));
|
2014-01-29 11:43:05 -08:00
|
|
|
}
|
|
|
|
|
|
|
|
|
|
template<> EIGEN_STRONG_INLINE std::complex<double> predux_mul<Packet2cd>(const Packet2cd& a)
|
|
|
|
|
{
|
2014-03-27 14:47:00 +01:00
|
|
|
return predux(pmul(Packet1cd(_mm256_extractf128_pd(a.v,0)),
|
|
|
|
|
Packet1cd(_mm256_extractf128_pd(a.v,1))));
|
2014-01-29 11:43:05 -08:00
|
|
|
}
|
|
|
|
|
|
|
|
|
|
template<int Offset>
|
|
|
|
|
struct palign_impl<Offset,Packet2cd>
|
|
|
|
|
{
|
|
|
|
|
static EIGEN_STRONG_INLINE void run(Packet2cd& first, const Packet2cd& second)
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{
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if (Offset==0) return;
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2014-03-27 14:47:00 +01:00
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palign_impl<Offset*2,Packet4d>::run(first.v, second.v);
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2014-01-29 11:43:05 -08:00
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}
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};
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template<> struct conj_helper<Packet2cd, Packet2cd, false,true>
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{
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EIGEN_STRONG_INLINE Packet2cd pmadd(const Packet2cd& x, const Packet2cd& y, const Packet2cd& c) const
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{ return padd(pmul(x,y),c); }
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EIGEN_STRONG_INLINE Packet2cd pmul(const Packet2cd& a, const Packet2cd& b) const
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{
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return internal::pmul(a, pconj(b));
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}
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};
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template<> struct conj_helper<Packet2cd, Packet2cd, true,false>
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{
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EIGEN_STRONG_INLINE Packet2cd pmadd(const Packet2cd& x, const Packet2cd& y, const Packet2cd& c) const
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{ return padd(pmul(x,y),c); }
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EIGEN_STRONG_INLINE Packet2cd pmul(const Packet2cd& a, const Packet2cd& b) const
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{
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return internal::pmul(pconj(a), b);
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}
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};
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template<> struct conj_helper<Packet2cd, Packet2cd, true,true>
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{
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EIGEN_STRONG_INLINE Packet2cd pmadd(const Packet2cd& x, const Packet2cd& y, const Packet2cd& c) const
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{ return padd(pmul(x,y),c); }
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EIGEN_STRONG_INLINE Packet2cd pmul(const Packet2cd& a, const Packet2cd& b) const
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{
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return pconj(internal::pmul(a, b));
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}
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};
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2017-06-15 10:16:30 +02:00
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EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cd,Packet4d)
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2014-01-29 11:43:05 -08:00
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template<> EIGEN_STRONG_INLINE Packet2cd pdiv<Packet2cd>(const Packet2cd& a, const Packet2cd& b)
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{
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2014-03-26 15:11:18 -07:00
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Packet2cd num = pmul(a, pconj(b));
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__m256d tmp = _mm256_mul_pd(b.v, b.v);
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__m256d denom = _mm256_hadd_pd(tmp, tmp);
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return Packet2cd(_mm256_div_pd(num.v, denom));
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2014-01-29 11:43:05 -08:00
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}
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template<> EIGEN_STRONG_INLINE Packet2cd pcplxflip<Packet2cd>(const Packet2cd& x)
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{
|
2014-03-27 14:47:00 +01:00
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return Packet2cd(_mm256_shuffle_pd(x.v, x.v, 0x5));
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2014-01-29 11:43:05 -08:00
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}
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2014-04-25 10:56:18 +02:00
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EIGEN_DEVICE_FUNC inline void
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ptranspose(PacketBlock<Packet4cf,4>& kernel) {
|
2014-03-27 09:34:51 -07:00
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__m256d P0 = _mm256_castps_pd(kernel.packet[0].v);
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__m256d P1 = _mm256_castps_pd(kernel.packet[1].v);
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__m256d P2 = _mm256_castps_pd(kernel.packet[2].v);
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__m256d P3 = _mm256_castps_pd(kernel.packet[3].v);
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__m256d T0 = _mm256_shuffle_pd(P0, P1, 15);
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__m256d T1 = _mm256_shuffle_pd(P0, P1, 0);
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__m256d T2 = _mm256_shuffle_pd(P2, P3, 15);
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|
__m256d T3 = _mm256_shuffle_pd(P2, P3, 0);
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kernel.packet[1].v = _mm256_castpd_ps(_mm256_permute2f128_pd(T0, T2, 32));
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|
kernel.packet[3].v = _mm256_castpd_ps(_mm256_permute2f128_pd(T0, T2, 49));
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|
kernel.packet[0].v = _mm256_castpd_ps(_mm256_permute2f128_pd(T1, T3, 32));
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|
kernel.packet[2].v = _mm256_castpd_ps(_mm256_permute2f128_pd(T1, T3, 49));
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}
|
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|
2014-04-25 10:56:18 +02:00
|
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|
EIGEN_DEVICE_FUNC inline void
|
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|
|
ptranspose(PacketBlock<Packet2cd,2>& kernel) {
|
2014-03-27 09:34:51 -07:00
|
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|
__m256d tmp = _mm256_permute2f128_pd(kernel.packet[0].v, kernel.packet[1].v, 0+(2<<4));
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|
kernel.packet[1].v = _mm256_permute2f128_pd(kernel.packet[0].v, kernel.packet[1].v, 1+(3<<4));
|
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|
|
kernel.packet[0].v = tmp;
|
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|
|
}
|
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|
2016-11-02 10:38:13 +01:00
|
|
|
template<> EIGEN_STRONG_INLINE Packet4cf pinsertfirst(const Packet4cf& a, std::complex<float> b)
|
|
|
|
|
{
|
|
|
|
|
return Packet4cf(_mm256_blend_ps(a.v,pset1<Packet4cf>(b).v,1|2));
|
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|
|
|
}
|
|
|
|
|
|
|
|
|
|
template<> EIGEN_STRONG_INLINE Packet2cd pinsertfirst(const Packet2cd& a, std::complex<double> b)
|
|
|
|
|
{
|
|
|
|
|
return Packet2cd(_mm256_blend_pd(a.v,pset1<Packet2cd>(b).v,1|2));
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
template<> EIGEN_STRONG_INLINE Packet4cf pinsertlast(const Packet4cf& a, std::complex<float> b)
|
|
|
|
|
{
|
|
|
|
|
return Packet4cf(_mm256_blend_ps(a.v,pset1<Packet4cf>(b).v,(1<<7)|(1<<6)));
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
template<> EIGEN_STRONG_INLINE Packet2cd pinsertlast(const Packet2cd& a, std::complex<double> b)
|
|
|
|
|
{
|
|
|
|
|
return Packet2cd(_mm256_blend_pd(a.v,pset1<Packet2cd>(b).v,(1<<3)|(1<<2)));
|
|
|
|
|
}
|
|
|
|
|
|
2014-01-29 11:43:05 -08:00
|
|
|
} // end namespace internal
|
|
|
|
|
|
|
|
|
|
} // end namespace Eigen
|
|
|
|
|
|
|
|
|
|
#endif // EIGEN_COMPLEX_AVX_H
|