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82f0ce2726
This provide several advantages: - more flexibility in designing unit tests - unit tests can be glued to speed up compilation - unit tests are compiled with same predefined macros, which is a requirement for zapcc
84 lines
3.1 KiB
C++
84 lines
3.1 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) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#include "main.h"
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#include <Eigen/LU>
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#include <algorithm>
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template<typename MatrixType> void inverse_permutation_4x4()
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{
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typedef typename MatrixType::Scalar Scalar;
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Vector4i indices(0,1,2,3);
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for(int i = 0; i < 24; ++i)
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{
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MatrixType m = PermutationMatrix<4>(indices);
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MatrixType inv = m.inverse();
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double error = double( (m*inv-MatrixType::Identity()).norm() / NumTraits<Scalar>::epsilon() );
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EIGEN_DEBUG_VAR(error)
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VERIFY(error == 0.0);
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std::next_permutation(indices.data(),indices.data()+4);
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}
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}
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template<typename MatrixType> void inverse_general_4x4(int repeat)
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{
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using std::abs;
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typedef typename MatrixType::Scalar Scalar;
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typedef typename MatrixType::RealScalar RealScalar;
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double error_sum = 0., error_max = 0.;
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for(int i = 0; i < repeat; ++i)
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{
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MatrixType m;
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RealScalar absdet;
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do {
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m = MatrixType::Random();
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absdet = abs(m.determinant());
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} while(absdet < NumTraits<Scalar>::epsilon());
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MatrixType inv = m.inverse();
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double error = double( (m*inv-MatrixType::Identity()).norm() * absdet / NumTraits<Scalar>::epsilon() );
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error_sum += error;
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error_max = (std::max)(error_max, error);
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}
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std::cerr << "inverse_general_4x4, Scalar = " << type_name<Scalar>() << std::endl;
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double error_avg = error_sum / repeat;
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EIGEN_DEBUG_VAR(error_avg);
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EIGEN_DEBUG_VAR(error_max);
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// FIXME that 1.25 used to be a 1.0 until the NumTraits changes on 28 April 2010, what's going wrong??
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// FIXME that 1.25 used to be 1.2 until we tested gcc 4.1 on 30 June 2010 and got 1.21.
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VERIFY(error_avg < (NumTraits<Scalar>::IsComplex ? 8.0 : 1.25));
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VERIFY(error_max < (NumTraits<Scalar>::IsComplex ? 64.0 : 20.0));
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{
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int s = 5;//internal::random<int>(4,10);
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int i = 0;//internal::random<int>(0,s-4);
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int j = 0;//internal::random<int>(0,s-4);
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Matrix<Scalar,5,5> mat(s,s);
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mat.setRandom();
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MatrixType submat = mat.template block<4,4>(i,j);
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MatrixType mat_inv = mat.template block<4,4>(i,j).inverse();
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VERIFY_IS_APPROX(mat_inv, submat.inverse());
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mat.template block<4,4>(i,j) = submat.inverse();
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VERIFY_IS_APPROX(mat_inv, (mat.template block<4,4>(i,j)));
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}
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}
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EIGEN_DECLARE_TEST(prec_inverse_4x4)
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{
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CALL_SUBTEST_1((inverse_permutation_4x4<Matrix4f>()));
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CALL_SUBTEST_1(( inverse_general_4x4<Matrix4f>(200000 * g_repeat) ));
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CALL_SUBTEST_1(( inverse_general_4x4<Matrix<float,4,4,RowMajor> >(200000 * g_repeat) ));
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CALL_SUBTEST_2((inverse_permutation_4x4<Matrix<double,4,4,RowMajor> >()));
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CALL_SUBTEST_2(( inverse_general_4x4<Matrix<double,4,4,ColMajor> >(200000 * g_repeat) ));
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CALL_SUBTEST_2(( inverse_general_4x4<Matrix<double,4,4,RowMajor> >(200000 * g_repeat) ));
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CALL_SUBTEST_3((inverse_permutation_4x4<Matrix4cf>()));
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CALL_SUBTEST_3((inverse_general_4x4<Matrix4cf>(50000 * g_repeat)));
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}
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