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57b5767fe2
Triggered by product of dynamic-size 1 x n and n x 1 matrices. Also, add regression test.
66 lines
2.2 KiB
C++
66 lines
2.2 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) 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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#define EIGEN_NO_STATIC_ASSERT
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#include "product.h"
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// regression test for bug 447
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void product1x1()
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{
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Matrix<float,1,3> matAstatic;
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Matrix<float,3,1> matBstatic;
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matAstatic.setRandom();
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matBstatic.setRandom();
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VERIFY_IS_APPROX( (matAstatic * matBstatic).coeff(0,0),
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matAstatic.cwiseProduct(matBstatic.transpose()).sum() );
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MatrixXf matAdynamic(1,3);
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MatrixXf matBdynamic(3,1);
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matAdynamic.setRandom();
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matBdynamic.setRandom();
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VERIFY_IS_APPROX( (matAdynamic * matBdynamic).coeff(0,0),
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matAdynamic.cwiseProduct(matBdynamic.transpose()).sum() );
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}
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void test_product_small()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST_1( product(Matrix<float, 3, 2>()) );
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CALL_SUBTEST_2( product(Matrix<int, 3, 5>()) );
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CALL_SUBTEST_3( product(Matrix3d()) );
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CALL_SUBTEST_4( product(Matrix4d()) );
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CALL_SUBTEST_5( product(Matrix4f()) );
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CALL_SUBTEST_6( product1x1() );
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}
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#ifdef EIGEN_TEST_PART_6
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{
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// test compilation of (outer_product) * vector
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Vector3f v = Vector3f::Random();
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VERIFY_IS_APPROX( (v * v.transpose()) * v, (v * v.transpose()).eval() * v);
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}
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#endif
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}
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