Brian Silverman | 72890c2 | 2015-09-19 14:37:37 -0400 | [diff] [blame^] | 1 | // This file is part of Eigen, a lightweight C++ template library |
| 2 | // for linear algebra. Eigen itself is part of the KDE project. |
| 3 | // |
| 4 | // Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com> |
| 5 | // |
| 6 | // This Source Code Form is subject to the terms of the Mozilla |
| 7 | // Public License v. 2.0. If a copy of the MPL was not distributed |
| 8 | // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. |
| 9 | |
| 10 | #include "main.h" |
| 11 | |
| 12 | // using namespace Eigen; |
| 13 | |
| 14 | template<typename Scalar> bool areApprox(const Scalar* a, const Scalar* b, int size) |
| 15 | { |
| 16 | for (int i=0; i<size; ++i) |
| 17 | if (!ei_isApprox(a[i],b[i])) return false; |
| 18 | return true; |
| 19 | } |
| 20 | |
| 21 | #define CHECK_CWISE(REFOP, POP) { \ |
| 22 | for (int i=0; i<PacketSize; ++i) \ |
| 23 | ref[i] = REFOP(data1[i], data1[i+PacketSize]); \ |
| 24 | ei_pstore(data2, POP(ei_pload(data1), ei_pload(data1+PacketSize))); \ |
| 25 | VERIFY(areApprox(ref, data2, PacketSize) && #POP); \ |
| 26 | } |
| 27 | |
| 28 | #define REF_ADD(a,b) ((a)+(b)) |
| 29 | #define REF_SUB(a,b) ((a)-(b)) |
| 30 | #define REF_MUL(a,b) ((a)*(b)) |
| 31 | #define REF_DIV(a,b) ((a)/(b)) |
| 32 | |
| 33 | namespace std { |
| 34 | |
| 35 | template<> const complex<float>& min(const complex<float>& a, const complex<float>& b) |
| 36 | { return a.real() < b.real() ? a : b; } |
| 37 | |
| 38 | template<> const complex<float>& max(const complex<float>& a, const complex<float>& b) |
| 39 | { return a.real() < b.real() ? b : a; } |
| 40 | |
| 41 | } |
| 42 | |
| 43 | template<typename Scalar> void packetmath() |
| 44 | { |
| 45 | typedef typename ei_packet_traits<Scalar>::type Packet; |
| 46 | const int PacketSize = ei_packet_traits<Scalar>::size; |
| 47 | |
| 48 | const int size = PacketSize*4; |
| 49 | EIGEN_ALIGN_128 Scalar data1[ei_packet_traits<Scalar>::size*4]; |
| 50 | EIGEN_ALIGN_128 Scalar data2[ei_packet_traits<Scalar>::size*4]; |
| 51 | EIGEN_ALIGN_128 Packet packets[PacketSize*2]; |
| 52 | EIGEN_ALIGN_128 Scalar ref[ei_packet_traits<Scalar>::size*4]; |
| 53 | for (int i=0; i<size; ++i) |
| 54 | { |
| 55 | data1[i] = ei_random<Scalar>(); |
| 56 | data2[i] = ei_random<Scalar>(); |
| 57 | } |
| 58 | |
| 59 | ei_pstore(data2, ei_pload(data1)); |
| 60 | VERIFY(areApprox(data1, data2, PacketSize) && "aligned load/store"); |
| 61 | |
| 62 | for (int offset=0; offset<PacketSize; ++offset) |
| 63 | { |
| 64 | ei_pstore(data2, ei_ploadu(data1+offset)); |
| 65 | VERIFY(areApprox(data1+offset, data2, PacketSize) && "ei_ploadu"); |
| 66 | } |
| 67 | |
| 68 | for (int offset=0; offset<PacketSize; ++offset) |
| 69 | { |
| 70 | ei_pstoreu(data2+offset, ei_pload(data1)); |
| 71 | VERIFY(areApprox(data1, data2+offset, PacketSize) && "ei_pstoreu"); |
| 72 | } |
| 73 | |
| 74 | for (int offset=0; offset<PacketSize; ++offset) |
| 75 | { |
| 76 | packets[0] = ei_pload(data1); |
| 77 | packets[1] = ei_pload(data1+PacketSize); |
| 78 | if (offset==0) ei_palign<0>(packets[0], packets[1]); |
| 79 | else if (offset==1) ei_palign<1>(packets[0], packets[1]); |
| 80 | else if (offset==2) ei_palign<2>(packets[0], packets[1]); |
| 81 | else if (offset==3) ei_palign<3>(packets[0], packets[1]); |
| 82 | ei_pstore(data2, packets[0]); |
| 83 | |
| 84 | for (int i=0; i<PacketSize; ++i) |
| 85 | ref[i] = data1[i+offset]; |
| 86 | |
| 87 | typedef Matrix<Scalar, PacketSize, 1> Vector; |
| 88 | VERIFY(areApprox(ref, data2, PacketSize) && "ei_palign"); |
| 89 | } |
| 90 | |
| 91 | CHECK_CWISE(REF_ADD, ei_padd); |
| 92 | CHECK_CWISE(REF_SUB, ei_psub); |
| 93 | CHECK_CWISE(REF_MUL, ei_pmul); |
| 94 | #ifndef EIGEN_VECTORIZE_ALTIVEC |
| 95 | if (!ei_is_same_type<Scalar,int>::ret) |
| 96 | CHECK_CWISE(REF_DIV, ei_pdiv); |
| 97 | #endif |
| 98 | CHECK_CWISE(std::min, ei_pmin); |
| 99 | CHECK_CWISE(std::max, ei_pmax); |
| 100 | |
| 101 | for (int i=0; i<PacketSize; ++i) |
| 102 | ref[i] = data1[0]; |
| 103 | ei_pstore(data2, ei_pset1(data1[0])); |
| 104 | VERIFY(areApprox(ref, data2, PacketSize) && "ei_pset1"); |
| 105 | |
| 106 | VERIFY(ei_isApprox(data1[0], ei_pfirst(ei_pload(data1))) && "ei_pfirst"); |
| 107 | |
| 108 | ref[0] = 0; |
| 109 | for (int i=0; i<PacketSize; ++i) |
| 110 | ref[0] += data1[i]; |
| 111 | VERIFY(ei_isApprox(ref[0], ei_predux(ei_pload(data1))) && "ei_predux"); |
| 112 | |
| 113 | for (int j=0; j<PacketSize; ++j) |
| 114 | { |
| 115 | ref[j] = 0; |
| 116 | for (int i=0; i<PacketSize; ++i) |
| 117 | ref[j] += data1[i+j*PacketSize]; |
| 118 | packets[j] = ei_pload(data1+j*PacketSize); |
| 119 | } |
| 120 | ei_pstore(data2, ei_preduxp(packets)); |
| 121 | VERIFY(areApprox(ref, data2, PacketSize) && "ei_preduxp"); |
| 122 | } |
| 123 | |
| 124 | void test_eigen2_packetmath() |
| 125 | { |
| 126 | for(int i = 0; i < g_repeat; i++) { |
| 127 | CALL_SUBTEST_1( packetmath<float>() ); |
| 128 | CALL_SUBTEST_2( packetmath<double>() ); |
| 129 | CALL_SUBTEST_3( packetmath<int>() ); |
| 130 | CALL_SUBTEST_4( packetmath<std::complex<float> >() ); |
| 131 | } |
| 132 | } |