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2840ac7e94
* renaming, e.g. LU ---> FullPivLU * split tests framework: more robust, e.g. dont generate empty tests if a number is skipped * make all remaining tests use that splitting, as needed. * Fix 4x4 inversion (see stable branch) * Transform::inverse() and geo_transform test : adapt to new inverse() API, it was also trying to instantiate inverse() for 3x4 matrices. * CMakeLists: more robust regexp to parse the version number * misc fixes in unit tests
245 lines
7.7 KiB
C++
245 lines
7.7 KiB
C++
// 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) 2008-2009 Gael Guennebaud <g.gael@free.fr>
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// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#include "main.h"
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// using namespace Eigen;
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template<typename T> T ei_negate(const T& x) { return -x; }
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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_CWISE2(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 CHECK_CWISE1(REFOP, POP) { \
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for (int i=0; i<PacketSize; ++i) \
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ref[i] = REFOP(data1[i]); \
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ei_pstore(data2, POP(ei_pload(data1))); \
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VERIFY(areApprox(ref, data2, PacketSize) && #POP); \
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}
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template<bool Cond,typename Packet>
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struct packet_helper
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{
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template<typename T>
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inline Packet load(const T* from) const { return ei_pload(from); }
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template<typename T>
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inline void store(T* to, const Packet& x) const { ei_pstore(to,x); }
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};
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template<typename Packet>
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struct packet_helper<false,Packet>
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{
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template<typename T>
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inline T load(const T* from) const { return *from; }
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template<typename T>
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inline void store(T* to, const T& x) const { *to = x; }
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};
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#define CHECK_CWISE1_IF(COND, REFOP, POP) if(COND) { \
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packet_helper<COND,Packet> h; \
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for (int i=0; i<PacketSize; ++i) \
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ref[i] = REFOP(data1[i]); \
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h.store(data2, POP(h.load(data1))); \
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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_ALIGN16 Scalar data1[ei_packet_traits<Scalar>::size*4];
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EIGEN_ALIGN16 Scalar data2[ei_packet_traits<Scalar>::size*4];
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EIGEN_ALIGN16 Packet packets[PacketSize*2];
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EIGEN_ALIGN16 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_CWISE2(REF_ADD, ei_padd);
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CHECK_CWISE2(REF_SUB, ei_psub);
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CHECK_CWISE2(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_CWISE2(REF_DIV, ei_pdiv);
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#endif
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CHECK_CWISE2(std::min, ei_pmin);
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CHECK_CWISE2(std::max, ei_pmax);
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CHECK_CWISE1(ei_abs, ei_pabs);
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CHECK_CWISE1(ei_negate, ei_pnegate);
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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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ref[0] = 1;
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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_mul(ei_pload(data1))) && "ei_predux_mul");
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ref[0] = data1[0];
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for (int i=0; i<PacketSize; ++i)
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ref[0] = std::min(ref[0],data1[i]);
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VERIFY(ei_isApprox(ref[0], ei_predux_min(ei_pload(data1))) && "ei_predux_min");
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ref[0] = data1[0];
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for (int i=0; i<PacketSize; ++i)
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ref[0] = std::max(ref[0],data1[i]);
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VERIFY(ei_isApprox(ref[0], ei_predux_max(ei_pload(data1))) && "ei_predux_max");
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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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for (int i=0; i<PacketSize; ++i)
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ref[i] = data1[PacketSize-i-1];
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ei_pstore(data2, ei_preverse(ei_pload(data1)));
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VERIFY(areApprox(ref, data2, PacketSize) && "ei_preverse");
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}
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template<typename Scalar> void packetmath_real()
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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_ALIGN16 Scalar data1[ei_packet_traits<Scalar>::size*4];
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EIGEN_ALIGN16 Scalar data2[ei_packet_traits<Scalar>::size*4];
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EIGEN_ALIGN16 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>(-1e3,1e3);
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data2[i] = ei_random<Scalar>(-1e3,1e3);
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}
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CHECK_CWISE1_IF(ei_packet_traits<Scalar>::HasSin, ei_sin, ei_psin);
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CHECK_CWISE1_IF(ei_packet_traits<Scalar>::HasCos, ei_cos, ei_pcos);
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for (int i=0; i<size; ++i)
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{
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data1[i] = ei_random<Scalar>(-87,88);
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data2[i] = ei_random<Scalar>(-87,88);
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}
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CHECK_CWISE1_IF(ei_packet_traits<Scalar>::HasExp, ei_exp, ei_pexp);
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for (int i=0; i<size; ++i)
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{
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data1[i] = ei_random<Scalar>(0,1e6);
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data2[i] = ei_random<Scalar>(0,1e6);
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}
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CHECK_CWISE1_IF(ei_packet_traits<Scalar>::HasLog, ei_log, ei_plog);
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CHECK_CWISE1_IF(ei_packet_traits<Scalar>::HasSqrt, ei_sqrt, ei_psqrt);
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}
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void test_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_1( packetmath<std::complex<float> >() );
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CALL_SUBTEST_1( packetmath_real<float>() );
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CALL_SUBTEST_2( packetmath_real<double>() );
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}
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}
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