eigen/test/map.cpp
Benoit Jacob e27b2b95cf * rework Map, allow vectorization
* rework PacketMath and DummyPacketMath, make these actual template
specializations instead of just overriding by non-template inline
functions
* introduce ei_ploadt and ei_pstoret, make use of them in Map and Matrix
* remove Matrix::map() methods, use Map constructors instead.
2008-06-27 01:22:35 +00:00

56 lines
2.0 KiB
C++

// This file is part of Eigen, a lightweight C++ template library
// for linear algebra. Eigen itself is part of the KDE project.
//
// Copyright (C) 2006-2008 Benoit Jacob <jacob@math.jussieu.fr>
//
// 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/>.
#include "main.h"
template<typename VectorType> void tmap(const VectorType& m)
{
typedef typename VectorType::Scalar Scalar;
int size = m.size();
// test Map.h
Scalar* array1 = ei_aligned_malloc<Scalar>(size);
Scalar* array2 = ei_aligned_malloc<Scalar>(size);
Map<VectorType, Aligned>(array1, size) = VectorType::random(size);
Map<VectorType>(array2, size) = Map<VectorType>(array1, size);
VectorType ma1 = Map<VectorType>(array1, size);
VectorType ma2 = Map<VectorType, Aligned>(array2, size);
VERIFY_IS_APPROX(ma1, ma2);
VERIFY_IS_APPROX(ma1, VectorType(array2, size));
ei_aligned_free(array1);
ei_aligned_free(array2);
}
void test_map()
{
for(int i = 0; i < g_repeat; i++) {
CALL_SUBTEST( tmap(Matrix<float, 1, 1>()) );
CALL_SUBTEST( tmap(Vector4d()) );
CALL_SUBTEST( tmap(RowVector4f()) );
CALL_SUBTEST( tmap(VectorXcf(8)) );
CALL_SUBTEST( tmap(VectorXi(12)) );
}
}