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132 lines
4.0 KiB
132 lines
4.0 KiB
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra. Eigen itself is part of the KDE project.
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//
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// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@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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#include "main.h"
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// using namespace Eigen;
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template<typename Scalar> bool areApprox(const Scalar* a, const Scalar* b, int size)
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{
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for (int i=0; i<size; ++i)
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if (!ei_isApprox(a[i],b[i])) return false;
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return true;
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}
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#define CHECK_CWISE(REFOP, POP) { \
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for (int i=0; i<PacketSize; ++i) \
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ref[i] = REFOP(data1[i], data1[i+PacketSize]); \
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ei_pstore(data2, POP(ei_pload(data1), ei_pload(data1+PacketSize))); \
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VERIFY(areApprox(ref, data2, PacketSize) && #POP); \
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}
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#define REF_ADD(a,b) ((a)+(b))
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#define REF_SUB(a,b) ((a)-(b))
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#define REF_MUL(a,b) ((a)*(b))
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#define REF_DIV(a,b) ((a)/(b))
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namespace std {
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template<> const complex<float>& min(const complex<float>& a, const complex<float>& b)
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{ return a.real() < b.real() ? a : b; }
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template<> const complex<float>& max(const complex<float>& a, const complex<float>& b)
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{ return a.real() < b.real() ? b : a; }
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}
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template<typename Scalar> void packetmath()
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{
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typedef typename ei_packet_traits<Scalar>::type Packet;
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const int PacketSize = ei_packet_traits<Scalar>::size;
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const int size = PacketSize*4;
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EIGEN_ALIGN_128 Scalar data1[ei_packet_traits<Scalar>::size*4];
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EIGEN_ALIGN_128 Scalar data2[ei_packet_traits<Scalar>::size*4];
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EIGEN_ALIGN_128 Packet packets[PacketSize*2];
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EIGEN_ALIGN_128 Scalar ref[ei_packet_traits<Scalar>::size*4];
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for (int i=0; i<size; ++i)
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{
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data1[i] = ei_random<Scalar>();
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data2[i] = ei_random<Scalar>();
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}
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ei_pstore(data2, ei_pload(data1));
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VERIFY(areApprox(data1, data2, PacketSize) && "aligned load/store");
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for (int offset=0; offset<PacketSize; ++offset)
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{
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ei_pstore(data2, ei_ploadu(data1+offset));
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VERIFY(areApprox(data1+offset, data2, PacketSize) && "ei_ploadu");
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}
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for (int offset=0; offset<PacketSize; ++offset)
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{
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ei_pstoreu(data2+offset, ei_pload(data1));
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VERIFY(areApprox(data1, data2+offset, PacketSize) && "ei_pstoreu");
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}
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for (int offset=0; offset<PacketSize; ++offset)
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{
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packets[0] = ei_pload(data1);
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packets[1] = ei_pload(data1+PacketSize);
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if (offset==0) ei_palign<0>(packets[0], packets[1]);
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else if (offset==1) ei_palign<1>(packets[0], packets[1]);
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else if (offset==2) ei_palign<2>(packets[0], packets[1]);
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else if (offset==3) ei_palign<3>(packets[0], packets[1]);
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ei_pstore(data2, packets[0]);
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for (int i=0; i<PacketSize; ++i)
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ref[i] = data1[i+offset];
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typedef Matrix<Scalar, PacketSize, 1> Vector;
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VERIFY(areApprox(ref, data2, PacketSize) && "ei_palign");
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}
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CHECK_CWISE(REF_ADD, ei_padd);
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CHECK_CWISE(REF_SUB, ei_psub);
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CHECK_CWISE(REF_MUL, ei_pmul);
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#ifndef EIGEN_VECTORIZE_ALTIVEC
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if (!ei_is_same_type<Scalar,int>::ret)
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CHECK_CWISE(REF_DIV, ei_pdiv);
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#endif
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CHECK_CWISE(std::min, ei_pmin);
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CHECK_CWISE(std::max, ei_pmax);
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for (int i=0; i<PacketSize; ++i)
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ref[i] = data1[0];
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ei_pstore(data2, ei_pset1(data1[0]));
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VERIFY(areApprox(ref, data2, PacketSize) && "ei_pset1");
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VERIFY(ei_isApprox(data1[0], ei_pfirst(ei_pload(data1))) && "ei_pfirst");
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ref[0] = 0;
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for (int i=0; i<PacketSize; ++i)
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ref[0] += data1[i];
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VERIFY(ei_isApprox(ref[0], ei_predux(ei_pload(data1))) && "ei_predux");
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for (int j=0; j<PacketSize; ++j)
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{
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ref[j] = 0;
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for (int i=0; i<PacketSize; ++i)
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ref[j] += data1[i+j*PacketSize];
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packets[j] = ei_pload(data1+j*PacketSize);
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}
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ei_pstore(data2, ei_preduxp(packets));
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VERIFY(areApprox(ref, data2, PacketSize) && "ei_preduxp");
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}
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void test_eigen2_packetmath()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST_1( packetmath<float>() );
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CALL_SUBTEST_2( packetmath<double>() );
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CALL_SUBTEST_3( packetmath<int>() );
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CALL_SUBTEST_4( packetmath<std::complex<float> >() );
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}
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}
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