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https://gitlab.com/libeigen/eigen.git
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22a816ade8
* Improve the efficiency of matrix*vector in unaligned cases * Trivial fixes in the destructors of MatrixStorage * Removed the matrixNorm in test/product.cpp (twice faster and that assumed the matrix product was ok while checking that !!)
55 lines
2.0 KiB
C++
55 lines
2.0 KiB
C++
// 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@math.jussieu.fr>
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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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template<typename VectorType> void tmap(const VectorType& m)
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{
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typedef typename VectorType::Scalar Scalar;
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int size = m.size();
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// test Map.h
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Scalar* array1 = ei_aligned_malloc<Scalar>(size);
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Scalar* array2 = ei_aligned_malloc<Scalar>(size);
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Map<VectorType, Aligned>(array1, size) = VectorType::random(size);
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Map<VectorType>(array2, size) = Map<VectorType>(array1, size);
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VectorType ma1 = Map<VectorType>(array1, size);
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VectorType ma2 = Map<VectorType, Aligned>(array2, size);
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VERIFY_IS_APPROX(ma1, ma2);
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ei_aligned_free(array1);
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ei_aligned_free(array2);
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}
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void test_map()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST( tmap(Matrix<float, 1, 1>()) );
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CALL_SUBTEST( tmap(Vector4d()) );
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CALL_SUBTEST( tmap(RowVector4f()) );
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CALL_SUBTEST( tmap(VectorXcf(8)) );
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CALL_SUBTEST( tmap(VectorXi(12)) );
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}
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}
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