eigen/test/mixingtypes.cpp
Benoit Jacob 2840ac7e94 big huge changes, so i dont remember everything.
* 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
2009-10-28 18:19:29 -04:00

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
// Copyright (C) 2008 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
#ifndef EIGEN_NO_STATIC_ASSERT
#define EIGEN_NO_STATIC_ASSERT // turn static asserts into runtime asserts in order to check them
#endif
#ifndef EIGEN_DONT_VECTORIZE
#define EIGEN_DONT_VECTORIZE // SSE intrinsics aren't designed to allow mixing types
#endif
#include "main.h"
using namespace std;
template<int SizeAtCompileType> void mixingtypes(int size = SizeAtCompileType)
{
typedef Matrix<float, SizeAtCompileType, SizeAtCompileType> Mat_f;
typedef Matrix<double, SizeAtCompileType, SizeAtCompileType> Mat_d;
typedef Matrix<std::complex<float>, SizeAtCompileType, SizeAtCompileType> Mat_cf;
typedef Matrix<std::complex<double>, SizeAtCompileType, SizeAtCompileType> Mat_cd;
typedef Matrix<float, SizeAtCompileType, 1> Vec_f;
typedef Matrix<double, SizeAtCompileType, 1> Vec_d;
typedef Matrix<std::complex<float>, SizeAtCompileType, 1> Vec_cf;
typedef Matrix<std::complex<double>, SizeAtCompileType, 1> Vec_cd;
Mat_f mf = Mat_f::Random(size,size);
Mat_d md = mf.template cast<double>();
Mat_cf mcf = Mat_cf::Random(size,size);
Mat_cd mcd = mcf.template cast<complex<double> >();
Vec_f vf = Vec_f::Random(size,1);
Vec_d vd = vf.template cast<double>();
Vec_cf vcf = Vec_cf::Random(size,1);
Vec_cd vcd = vcf.template cast<complex<double> >();
float sf = ei_random<float>();
double sd = ei_random<double>();
complex<float> scf = ei_random<complex<float> >();
complex<double> scd = ei_random<complex<double> >();
mf+mf;
VERIFY_RAISES_ASSERT(mf+md);
VERIFY_RAISES_ASSERT(mf+mcf);
VERIFY_RAISES_ASSERT(vf=vd);
VERIFY_RAISES_ASSERT(vf+=vd);
VERIFY_RAISES_ASSERT(mcd=md);
// check scalar products
VERIFY_IS_APPROX(vcf * sf , vcf * complex<float>(sf));
VERIFY_IS_APPROX(sd * vcd, complex<double>(sd) * vcd);
VERIFY_IS_APPROX(vf * scf , vf.template cast<complex<float> >() * scf);
VERIFY_IS_APPROX(scd * vd, scd * vd.template cast<complex<double> >());
// check dot product
vf.dot(vf);
VERIFY_RAISES_ASSERT(vd.dot(vf));
VERIFY_RAISES_ASSERT(vcf.dot(vf)); // yeah eventually we should allow this but i'm too lazy to make that change now in Dot.h
// especially as that might be rewritten as cwise product .sum() which would make that automatic.
// check diagonal product
VERIFY_IS_APPROX(vf.asDiagonal() * mcf, vf.template cast<complex<float> >().asDiagonal() * mcf);
VERIFY_IS_APPROX(vcd.asDiagonal() * md, vcd.asDiagonal() * md.template cast<complex<double> >());
VERIFY_IS_APPROX(mcf * vf.asDiagonal(), mcf * vf.template cast<complex<float> >().asDiagonal());
VERIFY_IS_APPROX(md * vcd.asDiagonal(), md.template cast<complex<double> >() * vcd.asDiagonal());
// vd.asDiagonal() * mf; // does not even compile
// vcd.asDiagonal() * mf; // does not even compile
// check inner product
VERIFY_IS_APPROX((vf.transpose() * vcf).value(), (vf.template cast<complex<float> >().transpose() * vcf).value());
// check outer product
VERIFY_IS_APPROX((vf * vcf.transpose()).eval(), (vf.template cast<complex<float> >() * vcf.transpose()).eval());
}
void mixingtypes_large(int size)
{
static const int SizeAtCompileType = Dynamic;
typedef Matrix<float, SizeAtCompileType, SizeAtCompileType> Mat_f;
typedef Matrix<double, SizeAtCompileType, SizeAtCompileType> Mat_d;
typedef Matrix<std::complex<float>, SizeAtCompileType, SizeAtCompileType> Mat_cf;
typedef Matrix<std::complex<double>, SizeAtCompileType, SizeAtCompileType> Mat_cd;
typedef Matrix<float, SizeAtCompileType, 1> Vec_f;
typedef Matrix<double, SizeAtCompileType, 1> Vec_d;
typedef Matrix<std::complex<float>, SizeAtCompileType, 1> Vec_cf;
typedef Matrix<std::complex<double>, SizeAtCompileType, 1> Vec_cd;
Mat_f mf(size,size);
Mat_d md(size,size);
Mat_cf mcf(size,size);
Mat_cd mcd(size,size);
Vec_f vf(size,1);
Vec_d vd(size,1);
Vec_cf vcf(size,1);
Vec_cd vcd(size,1);
mf*mf;
// FIXME large products does not allow mixing types
VERIFY_RAISES_ASSERT(md*mcd);
VERIFY_RAISES_ASSERT(mcd*md);
VERIFY_RAISES_ASSERT(mf*vcf);
VERIFY_RAISES_ASSERT(mcf*vf);
VERIFY_RAISES_ASSERT(mcf *= mf);
// VERIFY_RAISES_ASSERT(vcd = md*vcd); // does not even compile (cannot convert complex to double)
VERIFY_RAISES_ASSERT(vcf = mcf*vf);
// VERIFY_RAISES_ASSERT(mf*md); // does not even compile
// VERIFY_RAISES_ASSERT(mcf*mcd); // does not even compile
// VERIFY_RAISES_ASSERT(mcf*vcd); // does not even compile
VERIFY_RAISES_ASSERT(vcf = mf*vf);
}
template<int SizeAtCompileType> void mixingtypes_small()
{
int size = SizeAtCompileType;
typedef Matrix<float, SizeAtCompileType, SizeAtCompileType> Mat_f;
typedef Matrix<double, SizeAtCompileType, SizeAtCompileType> Mat_d;
typedef Matrix<std::complex<float>, SizeAtCompileType, SizeAtCompileType> Mat_cf;
typedef Matrix<std::complex<double>, SizeAtCompileType, SizeAtCompileType> Mat_cd;
typedef Matrix<float, SizeAtCompileType, 1> Vec_f;
typedef Matrix<double, SizeAtCompileType, 1> Vec_d;
typedef Matrix<std::complex<float>, SizeAtCompileType, 1> Vec_cf;
typedef Matrix<std::complex<double>, SizeAtCompileType, 1> Vec_cd;
Mat_f mf(size,size);
Mat_d md(size,size);
Mat_cf mcf(size,size);
Mat_cd mcd(size,size);
Vec_f vf(size,1);
Vec_d vd(size,1);
Vec_cf vcf(size,1);
Vec_cd vcd(size,1);
mf*mf;
// FIXME shall we discard those products ?
// 1) currently they work only if SizeAtCompileType is small enough
// 2) in case we vectorize complexes this might be difficult to still allow that
md*mcd;
mcd*md;
mf*vcf;
mcf*vf;
mcf *= mf;
vcd = md*vcd;
vcf = mcf*vf;
// VERIFY_RAISES_ASSERT(mf*md); // does not even compile
// VERIFY_RAISES_ASSERT(mcf*mcd); // does not even compile
// VERIFY_RAISES_ASSERT(mcf*vcd); // does not even compile
VERIFY_RAISES_ASSERT(vcf = mf*vf);
}
void test_mixingtypes()
{
// check that our operator new is indeed called:
CALL_SUBTEST_1(mixingtypes<3>());
CALL_SUBTEST_2(mixingtypes<4>());
CALL_SUBTEST_3(mixingtypes<Dynamic>(20));
CALL_SUBTEST_4(mixingtypes_small<4>());
CALL_SUBTEST_5(mixingtypes_large(20));
}