1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This file is part of Eigen, a lightweight C++ template library 2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// for linear algebra. 3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// 4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr> 5c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// 6c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This Source Code Form is subject to the terms of the Mozilla 7c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Public License v. 2.0. If a copy of the MPL was not distributed 8c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// with this file, You can obtain one at http://mozilla.org/MPL/2.0/. 9c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 10c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include "main.h" 11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Scalar, int Mode, int TriOrder, int OtherOrder, int ResOrder, int OtherCols> 13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid trmm(int rows=internal::random<int>(1,EIGEN_TEST_MAX_SIZE), 14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath int cols=internal::random<int>(1,EIGEN_TEST_MAX_SIZE), 15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath int otherCols = OtherCols==Dynamic?internal::random<int>(1,EIGEN_TEST_MAX_SIZE):OtherCols) 16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ 17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typedef Matrix<Scalar,Dynamic,Dynamic,TriOrder> TriMatrix; 18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typedef Matrix<Scalar,Dynamic,OtherCols,OtherCols==1?ColMajor:OtherOrder> OnTheRight; 19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typedef Matrix<Scalar,OtherCols,Dynamic,OtherCols==1?RowMajor:OtherOrder> OnTheLeft; 20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typedef Matrix<Scalar,Dynamic,OtherCols,OtherCols==1?ColMajor:ResOrder> ResXS; 22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typedef Matrix<Scalar,OtherCols,Dynamic,OtherCols==1?RowMajor:ResOrder> ResSX; 23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath TriMatrix mat(rows,cols), tri(rows,cols), triTr(cols,rows); 25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath OnTheRight ge_right(cols,otherCols); 27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath OnTheLeft ge_left(otherCols,rows); 28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath ResSX ge_sx, ge_sx_save; 29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath ResXS ge_xs, ge_xs_save; 30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 31c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath Scalar s1 = internal::random<Scalar>(), 32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath s2 = internal::random<Scalar>(); 33c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 34c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath mat.setRandom(); 35c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath tri = mat.template triangularView<Mode>(); 36c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath triTr = mat.transpose().template triangularView<Mode>(); 37c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath ge_right.setRandom(); 38c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath ge_left.setRandom(); 39c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 40c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX( ge_xs = mat.template triangularView<Mode>() * ge_right, tri * ge_right); 41c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX( ge_sx = ge_left * mat.template triangularView<Mode>(), ge_left * tri); 42c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 43c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX( ge_xs.noalias() = mat.template triangularView<Mode>() * ge_right, tri * ge_right); 44c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX( ge_sx.noalias() = ge_left * mat.template triangularView<Mode>(), ge_left * tri); 45c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 46c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX( ge_xs.noalias() = (s1*mat.adjoint()).template triangularView<Mode>() * (s2*ge_left.transpose()), s1*triTr.conjugate() * (s2*ge_left.transpose())); 47c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX( ge_sx.noalias() = ge_right.transpose() * mat.adjoint().template triangularView<Mode>(), ge_right.transpose() * triTr.conjugate()); 48c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 49c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX( ge_xs.noalias() = (s1*mat.adjoint()).template triangularView<Mode>() * (s2*ge_left.adjoint()), s1*triTr.conjugate() * (s2*ge_left.adjoint())); 50c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX( ge_sx.noalias() = ge_right.adjoint() * mat.adjoint().template triangularView<Mode>(), ge_right.adjoint() * triTr.conjugate()); 51c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 52c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath ge_xs_save = ge_xs; 53c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX( (ge_xs_save + s1*triTr.conjugate() * (s2*ge_left.adjoint())).eval(), ge_xs.noalias() += (s1*mat.adjoint()).template triangularView<Mode>() * (s2*ge_left.adjoint()) ); 547faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez ge_sx.setRandom(); 55c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath ge_sx_save = ge_sx; 56c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX( ge_sx_save - (ge_right.adjoint() * (-s1 * triTr).conjugate()).eval(), ge_sx.noalias() -= (ge_right.adjoint() * (-s1 * mat).adjoint().template triangularView<Mode>()).eval()); 57c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 587faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez VERIFY_IS_APPROX( ge_xs = (s1*mat).adjoint().template triangularView<Mode>() * ge_left.adjoint(), numext::conj(s1) * triTr.conjugate() * ge_left.adjoint()); 59c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 60c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // TODO check with sub-matrix expressions ? 61c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} 62c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 63c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Scalar, int Mode, int TriOrder> 64c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid trmv(int rows=internal::random<int>(1,EIGEN_TEST_MAX_SIZE), int cols=internal::random<int>(1,EIGEN_TEST_MAX_SIZE)) 65c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ 66c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath trmm<Scalar,Mode,TriOrder,ColMajor,ColMajor,1>(rows,cols,1); 67c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} 68c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 69c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Scalar, int Mode, int TriOrder, int OtherOrder, int ResOrder> 70c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid trmm(int rows=internal::random<int>(1,EIGEN_TEST_MAX_SIZE), int cols=internal::random<int>(1,EIGEN_TEST_MAX_SIZE), int otherCols = internal::random<int>(1,EIGEN_TEST_MAX_SIZE)) 71c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ 72c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath trmm<Scalar,Mode,TriOrder,OtherOrder,ResOrder,Dynamic>(rows,cols,otherCols); 73c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} 74c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 75c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#define CALL_ALL_ORDERS(NB,SCALAR,MODE) \ 76c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath EIGEN_CAT(CALL_SUBTEST_,NB)((trmm<SCALAR, MODE, ColMajor,ColMajor,ColMajor>())); \ 77c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath EIGEN_CAT(CALL_SUBTEST_,NB)((trmm<SCALAR, MODE, ColMajor,ColMajor,RowMajor>())); \ 78c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath EIGEN_CAT(CALL_SUBTEST_,NB)((trmm<SCALAR, MODE, ColMajor,RowMajor,ColMajor>())); \ 79c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath EIGEN_CAT(CALL_SUBTEST_,NB)((trmm<SCALAR, MODE, ColMajor,RowMajor,RowMajor>())); \ 80c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath EIGEN_CAT(CALL_SUBTEST_,NB)((trmm<SCALAR, MODE, RowMajor,ColMajor,ColMajor>())); \ 81c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath EIGEN_CAT(CALL_SUBTEST_,NB)((trmm<SCALAR, MODE, RowMajor,ColMajor,RowMajor>())); \ 82c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath EIGEN_CAT(CALL_SUBTEST_,NB)((trmm<SCALAR, MODE, RowMajor,RowMajor,ColMajor>())); \ 83c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath EIGEN_CAT(CALL_SUBTEST_,NB)((trmm<SCALAR, MODE, RowMajor,RowMajor,RowMajor>())); \ 84c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath \ 85c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath EIGEN_CAT(CALL_SUBTEST_1,NB)((trmv<SCALAR, MODE, ColMajor>())); \ 86c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath EIGEN_CAT(CALL_SUBTEST_1,NB)((trmv<SCALAR, MODE, RowMajor>())); 87c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 88c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 89c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#define CALL_ALL(NB,SCALAR) \ 90c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_ALL_ORDERS(EIGEN_CAT(1,NB),SCALAR,Upper) \ 91c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_ALL_ORDERS(EIGEN_CAT(2,NB),SCALAR,UnitUpper) \ 92c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_ALL_ORDERS(EIGEN_CAT(3,NB),SCALAR,StrictlyUpper) \ 93c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_ALL_ORDERS(EIGEN_CAT(1,NB),SCALAR,Lower) \ 94c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_ALL_ORDERS(EIGEN_CAT(2,NB),SCALAR,UnitLower) \ 95c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_ALL_ORDERS(EIGEN_CAT(3,NB),SCALAR,StrictlyLower) 96c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 97c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 98c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid test_product_trmm() 99c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ 100c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath for(int i = 0; i < g_repeat ; i++) 101c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath { 102c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_ALL(1,float); // EIGEN_SUFFIXES;11;111;21;121;31;131 103c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_ALL(2,double); // EIGEN_SUFFIXES;12;112;22;122;32;132 104c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_ALL(3,std::complex<float>); // EIGEN_SUFFIXES;13;113;23;123;33;133 105c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_ALL(4,std::complex<double>); // EIGEN_SUFFIXES;14;114;24;124;34;134 106c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath } 107c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} 108