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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
125 lines
5.9 KiB
C++
125 lines
5.9 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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static int nb_temporaries;
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#define EIGEN_DEBUG_MATRIX_CTOR(MTYPE) { \
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if(MTYPE::SizeAtCompileTime==Dynamic) \
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nb_temporaries++; \
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}
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#include "main.h"
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#include <Eigen/Array>
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#define VERIFY_EVALUATION_COUNT(XPR,N) {\
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nb_temporaries = 0; \
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XPR; \
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if(nb_temporaries!=N) std::cerr << "nb_temporaries == " << nb_temporaries << "\n"; \
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VERIFY( (#XPR) && nb_temporaries==N ); \
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}
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template<typename MatrixType> void product_notemporary(const MatrixType& m)
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{
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/* This test checks the number of tempories created
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* during the evaluation of a complex expression */
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typedef typename MatrixType::Scalar Scalar;
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typedef Matrix<Scalar, 1, Dynamic> RowVectorType;
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typedef Matrix<Scalar, Dynamic, 1> ColVectorType;
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typedef Matrix<Scalar, Dynamic, Dynamic, RowMajor> RowMajorMatrixType;
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int rows = m.rows();
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int cols = m.cols();
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MatrixType m1 = MatrixType::Random(rows, cols),
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m2 = MatrixType::Random(rows, cols),
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m3(rows, cols);
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RowVectorType rv1 = RowVectorType::Random(rows), rvres(rows);
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ColVectorType vc2 = ColVectorType::Random(cols), cvres(cols);
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RowMajorMatrixType rm3(rows, cols);
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Scalar s1 = ei_random<Scalar>(),
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s2 = ei_random<Scalar>(),
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s3 = ei_random<Scalar>();
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int c0 = ei_random<int>(4,cols-8),
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c1 = ei_random<int>(8,cols-c0),
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r0 = ei_random<int>(4,cols-8),
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r1 = ei_random<int>(8,rows-r0);
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VERIFY_EVALUATION_COUNT( m3 = (m1 * m2.adjoint()), 1);
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VERIFY_EVALUATION_COUNT( m3.noalias() = m1 * m2.adjoint(), 0);
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VERIFY_EVALUATION_COUNT( m3.noalias() = s1 * (m1 * m2.transpose()), 0);
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VERIFY_EVALUATION_COUNT( m3.noalias() = s1 * m1 * s2 * m2.adjoint(), 0);
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VERIFY_EVALUATION_COUNT( m3.noalias() = s1 * m1 * s2 * (m1*s3+m2*s2).adjoint(), 1);
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VERIFY_EVALUATION_COUNT( m3.noalias() = (s1 * m1).adjoint() * s2 * m2, 0);
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VERIFY_EVALUATION_COUNT( m3.noalias() += s1 * (-m1*s3).adjoint() * (s2 * m2 * s3), 0);
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VERIFY_EVALUATION_COUNT( m3.noalias() -= s1 * (m1.transpose() * m2), 0);
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VERIFY_EVALUATION_COUNT(( m3.block(r0,r0,r1,r1).noalias() += -m1.block(r0,c0,r1,c1) * (s2*m2.block(r0,c0,r1,c1)).adjoint() ), 0);
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VERIFY_EVALUATION_COUNT(( m3.block(r0,r0,r1,r1).noalias() -= s1 * m1.block(r0,c0,r1,c1) * m2.block(c0,r0,c1,r1) ), 0);
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// NOTE this is because the Block expression is not handled yet by our expression analyser
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VERIFY_EVALUATION_COUNT(( m3.block(r0,r0,r1,r1).noalias() = s1 * m1.block(r0,c0,r1,c1) * (s1*m2).block(c0,r0,c1,r1) ), 1);
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VERIFY_EVALUATION_COUNT( m3.noalias() -= (s1 * m1).template triangularView<LowerTriangular>() * m2, 0);
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VERIFY_EVALUATION_COUNT( rm3.noalias() = (s1 * m1.adjoint()).template triangularView<UpperTriangular>() * (m2+m2), 1);
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VERIFY_EVALUATION_COUNT( rm3.noalias() = (s1 * m1.adjoint()).template triangularView<UnitUpperTriangular>() * m2.adjoint(), 0);
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VERIFY_EVALUATION_COUNT( rm3.col(c0).noalias() = (s1 * m1.adjoint()).template triangularView<UnitUpperTriangular>() * (s2*m2.row(c0)).adjoint(), 0);
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VERIFY_EVALUATION_COUNT( m1.template triangularView<LowerTriangular>().solveInPlace(m3), 0);
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VERIFY_EVALUATION_COUNT( m1.adjoint().template triangularView<LowerTriangular>().solveInPlace(m3.transpose()), 0);
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VERIFY_EVALUATION_COUNT( m3.noalias() -= (s1 * m1).adjoint().template selfadjointView<LowerTriangular>() * (-m2*s3).adjoint(), 0);
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VERIFY_EVALUATION_COUNT( m3.noalias() = s2 * m2.adjoint() * (s1 * m1.adjoint()).template selfadjointView<UpperTriangular>(), 0);
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VERIFY_EVALUATION_COUNT( rm3.noalias() = (s1 * m1.adjoint()).template selfadjointView<LowerTriangular>() * m2.adjoint(), 0);
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VERIFY_EVALUATION_COUNT( m3.col(c0).noalias() = (s1 * m1).adjoint().template selfadjointView<LowerTriangular>() * (-m2.row(c0)*s3).adjoint(), 0);
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VERIFY_EVALUATION_COUNT( m3.col(c0).noalias() -= (s1 * m1).adjoint().template selfadjointView<UpperTriangular>() * (-m2.row(c0)*s3).adjoint(), 0);
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VERIFY_EVALUATION_COUNT( m3.block(r0,c0,r1,c1).noalias() += m1.block(r0,r0,r1,r1).template selfadjointView<UpperTriangular>() * (s1*m2.block(r0,c0,r1,c1)), 0);
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VERIFY_EVALUATION_COUNT( m3.block(r0,c0,r1,c1).noalias() = m1.block(r0,r0,r1,r1).template selfadjointView<UpperTriangular>() * m2.block(r0,c0,r1,c1), 0);
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VERIFY_EVALUATION_COUNT( m3.template selfadjointView<LowerTriangular>().rankUpdate(m2.adjoint()), 0);
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m3.resize(1,1);
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VERIFY_EVALUATION_COUNT( m3.noalias() = m1.block(r0,r0,r1,r1).template selfadjointView<LowerTriangular>() * m2.block(r0,c0,r1,c1), 0);
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m3.resize(1,1);
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VERIFY_EVALUATION_COUNT( m3.noalias() = m1.block(r0,r0,r1,r1).template triangularView<UnitUpperTriangular>() * m2.block(r0,c0,r1,c1), 0);
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}
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void test_product_notemporary()
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{
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int s;
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for(int i = 0; i < g_repeat; i++) {
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s = ei_random<int>(16,320);
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CALL_SUBTEST_1( product_notemporary(MatrixXf(s, s)) );
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s = ei_random<int>(16,120);
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CALL_SUBTEST_2( product_notemporary(MatrixXcd(s,s)) );
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}
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}
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