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-rw-r--r--unsupported/test/bdcsvd.cpp213
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diff --git a/unsupported/test/bdcsvd.cpp b/unsupported/test/bdcsvd.cpp
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-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Copyright (C) 2013 Gauthier Brun <brun.gauthier@gmail.com>
-// Copyright (C) 2013 Nicolas Carre <nicolas.carre@ensimag.fr>
-// Copyright (C) 2013 Jean Ceccato <jean.ceccato@ensimag.fr>
-// Copyright (C) 2013 Pierre Zoppitelli <pierre.zoppitelli@ensimag.fr>
-//
-// This Source Code Form is subject to the terms of the Mozilla
-// Public License v. 2.0. If a copy of the MPL was not distributed
-// with this file, You can obtain one at http://mozilla.org/MPL/2.0/
-
-#include "svd_common.h"
-#include <iostream>
-#include <Eigen/LU>
-
-// check if "svd" is the good image of "m"
-template<typename MatrixType>
-void bdcsvd_check_full(const MatrixType& m, const BDCSVD<MatrixType>& svd)
-{
- svd_check_full< MatrixType, BDCSVD< MatrixType > >(m, svd);
-}
-
-// Compare to a reference value
-template<typename MatrixType>
-void bdcsvd_compare_to_full(const MatrixType& m,
- unsigned int computationOptions,
- const BDCSVD<MatrixType>& referenceSvd)
-{
- svd_compare_to_full< MatrixType, BDCSVD< MatrixType > >(m, computationOptions, referenceSvd);
-} // end bdcsvd_compare_to_full
-
-
-template<typename MatrixType>
-void bdcsvd_solve(const MatrixType& m, unsigned int computationOptions)
-{
- svd_solve< MatrixType, BDCSVD< MatrixType > >(m, computationOptions);
-} // end template bdcsvd_solve
-
-
-// test the computations options
-template<typename MatrixType>
-void bdcsvd_test_all_computation_options(const MatrixType& m)
-{
- BDCSVD<MatrixType> fullSvd(m, ComputeFullU|ComputeFullV);
- svd_test_computation_options_1< MatrixType, BDCSVD< MatrixType > >(m, fullSvd);
- svd_test_computation_options_2< MatrixType, BDCSVD< MatrixType > >(m, fullSvd);
-} // end bdcsvd_test_all_computation_options
-
-
-// Call a test with all the computations options
-template<typename MatrixType>
-void bdcsvd(const MatrixType& a = MatrixType(), bool pickrandom = true)
-{
- MatrixType m = pickrandom ? MatrixType::Random(a.rows(), a.cols()) : a;
- bdcsvd_test_all_computation_options<MatrixType>(m);
-} // end template bdcsvd
-
-
-// verify assert
-template<typename MatrixType>
-void bdcsvd_verify_assert(const MatrixType& m)
-{
- svd_verify_assert< MatrixType, BDCSVD< MatrixType > >(m);
-}// end template bdcsvd_verify_assert
-
-
-// test weird values
-template<typename MatrixType>
-void bdcsvd_inf_nan()
-{
- svd_inf_nan< MatrixType, BDCSVD< MatrixType > >();
-}// end template bdcsvd_inf_nan
-
-
-
-void bdcsvd_preallocate()
-{
- svd_preallocate< BDCSVD< MatrixXf > >();
-} // end bdcsvd_preallocate
-
-
-// compare the Singular values returned with Jacobi and Bdc
-template<typename MatrixType>
-void compare_bdc_jacobi(const MatrixType& a = MatrixType(), unsigned int computationOptions = 0)
-{
- std::cout << "debut compare" << std::endl;
- MatrixType m = MatrixType::Random(a.rows(), a.cols());
- BDCSVD<MatrixType> bdc_svd(m);
- JacobiSVD<MatrixType> jacobi_svd(m);
- VERIFY_IS_APPROX(bdc_svd.singularValues(), jacobi_svd.singularValues());
- if(computationOptions & ComputeFullU)
- VERIFY_IS_APPROX(bdc_svd.matrixU(), jacobi_svd.matrixU());
- if(computationOptions & ComputeThinU)
- VERIFY_IS_APPROX(bdc_svd.matrixU(), jacobi_svd.matrixU());
- if(computationOptions & ComputeFullV)
- VERIFY_IS_APPROX(bdc_svd.matrixV(), jacobi_svd.matrixV());
- if(computationOptions & ComputeThinV)
- VERIFY_IS_APPROX(bdc_svd.matrixV(), jacobi_svd.matrixV());
- std::cout << "fin compare" << std::endl;
-} // end template compare_bdc_jacobi
-
-
-// call the tests
-void test_bdcsvd()
-{
- // test of Dynamic defined Matrix (42, 42) of float
- CALL_SUBTEST_11(( bdcsvd_verify_assert<Matrix<float,Dynamic,Dynamic> >
- (Matrix<float,Dynamic,Dynamic>(42,42)) ));
- CALL_SUBTEST_11(( compare_bdc_jacobi<Matrix<float,Dynamic,Dynamic> >
- (Matrix<float,Dynamic,Dynamic>(42,42), 0) ));
- CALL_SUBTEST_11(( bdcsvd<Matrix<float,Dynamic,Dynamic> >
- (Matrix<float,Dynamic,Dynamic>(42,42)) ));
-
- // test of Dynamic defined Matrix (50, 50) of double
- CALL_SUBTEST_13(( bdcsvd_verify_assert<Matrix<double,Dynamic,Dynamic> >
- (Matrix<double,Dynamic,Dynamic>(50,50)) ));
- CALL_SUBTEST_13(( compare_bdc_jacobi<Matrix<double,Dynamic,Dynamic> >
- (Matrix<double,Dynamic,Dynamic>(50,50), 0) ));
- CALL_SUBTEST_13(( bdcsvd<Matrix<double,Dynamic,Dynamic> >
- (Matrix<double,Dynamic,Dynamic>(50, 50)) ));
-
- // test of Dynamic defined Matrix (22, 22) of complex double
- CALL_SUBTEST_14(( bdcsvd_verify_assert<Matrix<std::complex<double>,Dynamic,Dynamic> >
- (Matrix<std::complex<double>,Dynamic,Dynamic>(22,22)) ));
- CALL_SUBTEST_14(( compare_bdc_jacobi<Matrix<std::complex<double>,Dynamic,Dynamic> >
- (Matrix<std::complex<double>, Dynamic, Dynamic> (22,22), 0) ));
- CALL_SUBTEST_14(( bdcsvd<Matrix<std::complex<double>,Dynamic,Dynamic> >
- (Matrix<std::complex<double>,Dynamic,Dynamic>(22, 22)) ));
-
- // test of Dynamic defined Matrix (10, 10) of int
- //CALL_SUBTEST_15(( bdcsvd_verify_assert<Matrix<int,Dynamic,Dynamic> >
- // (Matrix<int,Dynamic,Dynamic>(10,10)) ));
- //CALL_SUBTEST_15(( compare_bdc_jacobi<Matrix<int,Dynamic,Dynamic> >
- // (Matrix<int,Dynamic,Dynamic>(10,10), 0) ));
- //CALL_SUBTEST_15(( bdcsvd<Matrix<int,Dynamic,Dynamic> >
- // (Matrix<int,Dynamic,Dynamic>(10, 10)) ));
-
-
- // test of Dynamic defined Matrix (8, 6) of double
-
- CALL_SUBTEST_16(( bdcsvd_verify_assert<Matrix<double,Dynamic,Dynamic> >
- (Matrix<double,Dynamic,Dynamic>(8,6)) ));
- CALL_SUBTEST_16(( compare_bdc_jacobi<Matrix<double,Dynamic,Dynamic> >
- (Matrix<double,Dynamic,Dynamic>(8, 6), 0) ));
- CALL_SUBTEST_16(( bdcsvd<Matrix<double,Dynamic,Dynamic> >
- (Matrix<double,Dynamic,Dynamic>(8, 6)) ));
-
-
-
- // test of Dynamic defined Matrix (36, 12) of float
- CALL_SUBTEST_17(( compare_bdc_jacobi<Matrix<float,Dynamic,Dynamic> >
- (Matrix<float,Dynamic,Dynamic>(36, 12), 0) ));
- CALL_SUBTEST_17(( bdcsvd<Matrix<float,Dynamic,Dynamic> >
- (Matrix<float,Dynamic,Dynamic>(36, 12)) ));
-
- // test of Dynamic defined Matrix (5, 8) of double
- CALL_SUBTEST_18(( compare_bdc_jacobi<Matrix<double,Dynamic,Dynamic> >
- (Matrix<double,Dynamic,Dynamic>(5, 8), 0) ));
- CALL_SUBTEST_18(( bdcsvd<Matrix<double,Dynamic,Dynamic> >
- (Matrix<double,Dynamic,Dynamic>(5, 8)) ));
-
-
- // non regression tests
- CALL_SUBTEST_3(( bdcsvd_verify_assert(Matrix3f()) ));
- CALL_SUBTEST_4(( bdcsvd_verify_assert(Matrix4d()) ));
- CALL_SUBTEST_7(( bdcsvd_verify_assert(MatrixXf(10,12)) ));
- CALL_SUBTEST_8(( bdcsvd_verify_assert(MatrixXcd(7,5)) ));
-
- // SUBTESTS 1 and 2 on specifics matrix
- for(int i = 0; i < g_repeat; i++) {
- Matrix2cd m;
- m << 0, 1,
- 0, 1;
- CALL_SUBTEST_1(( bdcsvd(m, false) ));
- m << 1, 0,
- 1, 0;
- CALL_SUBTEST_1(( bdcsvd(m, false) ));
-
- Matrix2d n;
- n << 0, 0,
- 0, 0;
- CALL_SUBTEST_2(( bdcsvd(n, false) ));
- n << 0, 0,
- 0, 1;
- CALL_SUBTEST_2(( bdcsvd(n, false) ));
-
- // Statics matrix don't work with BDSVD yet
- // bdc algo on a random 3x3 float matrix
- // CALL_SUBTEST_3(( bdcsvd<Matrix3f>() ));
- // bdc algo on a random 4x4 double matrix
- // CALL_SUBTEST_4(( bdcsvd<Matrix4d>() ));
- // bdc algo on a random 3x5 float matrix
- // CALL_SUBTEST_5(( bdcsvd<Matrix<float,3,5> >() ));
-
- int r = internal::random<int>(1, 30),
- c = internal::random<int>(1, 30);
- CALL_SUBTEST_7(( bdcsvd<MatrixXf>(MatrixXf(r,c)) ));
- CALL_SUBTEST_8(( bdcsvd<MatrixXcd>(MatrixXcd(r,c)) ));
- (void) r;
- (void) c;
-
- // Test on inf/nan matrix
- CALL_SUBTEST_7( bdcsvd_inf_nan<MatrixXf>() );
- }
-
- CALL_SUBTEST_7(( bdcsvd<MatrixXf>(MatrixXf(internal::random<int>(EIGEN_TEST_MAX_SIZE/4, EIGEN_TEST_MAX_SIZE/2), internal::random<int>(EIGEN_TEST_MAX_SIZE/4, EIGEN_TEST_MAX_SIZE/2))) ));
- CALL_SUBTEST_8(( bdcsvd<MatrixXcd>(MatrixXcd(internal::random<int>(EIGEN_TEST_MAX_SIZE/4, EIGEN_TEST_MAX_SIZE/3), internal::random<int>(EIGEN_TEST_MAX_SIZE/4, EIGEN_TEST_MAX_SIZE/3))) ));
-
- // Test problem size constructors
- CALL_SUBTEST_7( BDCSVD<MatrixXf>(10,10) );
-
-} // end test_bdcsvd