1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This file is part of Eigen, a lightweight C++ template library 2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// for linear algebra. 3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// 4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com> 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 102b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang#define TEST_ENABLE_TEMPORARY_TRACKING 11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include "main.h" 13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename MatrixType> void product_notemporary(const MatrixType& m) 15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ 16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath /* This test checks the number of temporaries created 17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath * during the evaluation of a complex expression */ 18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typedef typename MatrixType::Index Index; 19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typedef typename MatrixType::Scalar Scalar; 20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typedef typename MatrixType::RealScalar RealScalar; 21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typedef Matrix<Scalar, 1, Dynamic> RowVectorType; 22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typedef Matrix<Scalar, Dynamic, 1> ColVectorType; 23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typedef Matrix<Scalar, Dynamic, Dynamic, ColMajor> ColMajorMatrixType; 24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typedef Matrix<Scalar, Dynamic, Dynamic, RowMajor> RowMajorMatrixType; 25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath Index rows = m.rows(); 27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath Index cols = m.cols(); 28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath ColMajorMatrixType m1 = MatrixType::Random(rows, cols), 30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath m2 = MatrixType::Random(rows, cols), 31c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath m3(rows, cols); 32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath RowVectorType rv1 = RowVectorType::Random(rows), rvres(rows); 33c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath ColVectorType cv1 = ColVectorType::Random(cols), cvres(cols); 34c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath RowMajorMatrixType rm3(rows, cols); 35c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 36c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath Scalar s1 = internal::random<Scalar>(), 37c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath s2 = internal::random<Scalar>(), 38c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath s3 = internal::random<Scalar>(); 39c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 40c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath Index c0 = internal::random<Index>(4,cols-8), 41c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath c1 = internal::random<Index>(8,cols-c0), 42c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath r0 = internal::random<Index>(4,cols-8), 43c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath r1 = internal::random<Index>(8,rows-r0); 44c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 45c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( m3 = (m1 * m2.adjoint()), 1); 462b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang VERIFY_EVALUATION_COUNT( m3 = (m1 * m2.adjoint()).transpose(), 1); 47c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( m3.noalias() = m1 * m2.adjoint(), 0); 48c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 492b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang VERIFY_EVALUATION_COUNT( m3 = s1 * (m1 * m2.transpose()), 1); 502b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang// VERIFY_EVALUATION_COUNT( m3 = m3 + s1 * (m1 * m2.transpose()), 1); 51c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( m3.noalias() = s1 * (m1 * m2.transpose()), 0); 52c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 532b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang VERIFY_EVALUATION_COUNT( m3 = m3 + (m1 * m2.adjoint()), 1); 542b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang 552b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang VERIFY_EVALUATION_COUNT( m3 = m3 + (m1 * m2.adjoint()).transpose(), 1); 562b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang VERIFY_EVALUATION_COUNT( m3.noalias() = m3 + m1 * m2.transpose(), 0); 572b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang VERIFY_EVALUATION_COUNT( m3.noalias() += m3 + m1 * m2.transpose(), 0); 582b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang VERIFY_EVALUATION_COUNT( m3.noalias() -= m3 + m1 * m2.transpose(), 0); 592b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang VERIFY_EVALUATION_COUNT( m3.noalias() = m3 - m1 * m2.transpose(), 0); 602b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang VERIFY_EVALUATION_COUNT( m3.noalias() += m3 - m1 * m2.transpose(), 0); 612b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang VERIFY_EVALUATION_COUNT( m3.noalias() -= m3 - m1 * m2.transpose(), 0); 622b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang 63c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( m3.noalias() = s1 * m1 * s2 * m2.adjoint(), 0); 64c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( m3.noalias() = s1 * m1 * s2 * (m1*s3+m2*s2).adjoint(), 1); 65c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( m3.noalias() = (s1 * m1).adjoint() * s2 * m2, 0); 66c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( m3.noalias() += s1 * (-m1*s3).adjoint() * (s2 * m2 * s3), 0); 67c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( m3.noalias() -= s1 * (m1.transpose() * m2), 0); 68c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 69c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 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); 70c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT(( m3.block(r0,r0,r1,r1).noalias() -= s1 * m1.block(r0,c0,r1,c1) * m2.block(c0,r0,c1,r1) ), 0); 71c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 72c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // NOTE this is because the Block expression is not handled yet by our expression analyser 73c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 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); 74c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 75c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( m3.noalias() -= (s1 * m1).template triangularView<Lower>() * m2, 0); 76c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( rm3.noalias() = (s1 * m1.adjoint()).template triangularView<Upper>() * (m2+m2), 1); 77c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( rm3.noalias() = (s1 * m1.adjoint()).template triangularView<UnitUpper>() * m2.adjoint(), 0); 782b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang 797faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez VERIFY_EVALUATION_COUNT( m3.template triangularView<Upper>() = (m1 * m2.adjoint()), 0); 807faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez VERIFY_EVALUATION_COUNT( m3.template triangularView<Upper>() -= (m1 * m2.adjoint()), 0); 81c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 82c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // NOTE this is because the blas_traits require innerstride==1 to avoid a temporary, but that doesn't seem to be actually needed for the triangular products 83c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( rm3.col(c0).noalias() = (s1 * m1.adjoint()).template triangularView<UnitUpper>() * (s2*m2.row(c0)).adjoint(), 1); 84c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 85c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( m1.template triangularView<Lower>().solveInPlace(m3), 0); 86c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( m1.adjoint().template triangularView<Lower>().solveInPlace(m3.transpose()), 0); 87c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 88c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( m3.noalias() -= (s1 * m1).adjoint().template selfadjointView<Lower>() * (-m2*s3).adjoint(), 0); 89c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( m3.noalias() = s2 * m2.adjoint() * (s1 * m1.adjoint()).template selfadjointView<Upper>(), 0); 90c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( rm3.noalias() = (s1 * m1.adjoint()).template selfadjointView<Lower>() * m2.adjoint(), 0); 91c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 92c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // NOTE this is because the blas_traits require innerstride==1 to avoid a temporary, but that doesn't seem to be actually needed for the triangular products 93c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( m3.col(c0).noalias() = (s1 * m1).adjoint().template selfadjointView<Lower>() * (-m2.row(c0)*s3).adjoint(), 1); 94c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( m3.col(c0).noalias() -= (s1 * m1).adjoint().template selfadjointView<Upper>() * (-m2.row(c0)*s3).adjoint(), 1); 95c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 96c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( m3.block(r0,c0,r1,c1).noalias() += m1.block(r0,r0,r1,r1).template selfadjointView<Upper>() * (s1*m2.block(r0,c0,r1,c1)), 0); 97c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( m3.block(r0,c0,r1,c1).noalias() = m1.block(r0,r0,r1,r1).template selfadjointView<Upper>() * m2.block(r0,c0,r1,c1), 0); 98c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 99c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( m3.template selfadjointView<Lower>().rankUpdate(m2.adjoint()), 0); 100c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 101c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // Here we will get 1 temporary for each resize operation of the lhs operator; resize(r1,c1) would lead to zero temporaries 102c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath m3.resize(1,1); 103c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( m3.noalias() = m1.block(r0,r0,r1,r1).template selfadjointView<Lower>() * m2.block(r0,c0,r1,c1), 1); 104c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath m3.resize(1,1); 105c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( m3.noalias() = m1.block(r0,r0,r1,r1).template triangularView<UnitUpper>() * m2.block(r0,c0,r1,c1), 1); 106c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 107c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // Zero temporaries for lazy products ... 108c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( Scalar tmp = 0; tmp += Scalar(RealScalar(1)) / (m3.transpose().lazyProduct(m3)).diagonal().sum(), 0 ); 109c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 110c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // ... and even no temporary for even deeply (>=2) nested products 111c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( Scalar tmp = 0; tmp += Scalar(RealScalar(1)) / (m3.transpose() * m3).diagonal().sum(), 0 ); 112c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( Scalar tmp = 0; tmp += Scalar(RealScalar(1)) / (m3.transpose() * m3).diagonal().array().abs().sum(), 0 ); 113c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 114c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // Zero temporaries for ... CoeffBasedProductMode 1152b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang VERIFY_EVALUATION_COUNT( m3.col(0).template head<5>() * m3.col(0).transpose() + m3.col(0).template head<5>() * m3.col(0).transpose(), 0 ); 116c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 117c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // Check matrix * vectors 118c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( cvres.noalias() = m1 * cv1, 0 ); 119c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( cvres.noalias() -= m1 * cv1, 0 ); 120c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( cvres.noalias() -= m1 * m2.col(0), 0 ); 121c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( cvres.noalias() -= m1 * rv1.adjoint(), 0 ); 122c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_EVALUATION_COUNT( cvres.noalias() -= m1 * m2.row(0).transpose(), 0 ); 1232b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang 1242b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang VERIFY_EVALUATION_COUNT( cvres.noalias() = (m1+m1) * cv1, 0 ); 1252b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang VERIFY_EVALUATION_COUNT( cvres.noalias() = (rm3+rm3) * cv1, 0 ); 1262b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang VERIFY_EVALUATION_COUNT( cvres.noalias() = (m1+m1) * (m1*cv1), 1 ); 1272b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang VERIFY_EVALUATION_COUNT( cvres.noalias() = (rm3+rm3) * (m1*cv1), 1 ); 1282b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang 1292b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang // Check outer products 1302b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang m3 = cv1 * rv1; 1312b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang VERIFY_EVALUATION_COUNT( m3.noalias() = cv1 * rv1, 0 ); 1322b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang VERIFY_EVALUATION_COUNT( m3.noalias() = (cv1+cv1) * (rv1+rv1), 1 ); 1332b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang VERIFY_EVALUATION_COUNT( m3.noalias() = (m1*cv1) * (rv1), 1 ); 1342b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang VERIFY_EVALUATION_COUNT( m3.noalias() += (m1*cv1) * (rv1), 1 ); 1352b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang VERIFY_EVALUATION_COUNT( rm3.noalias() = (cv1) * (rv1 * m1), 1 ); 1362b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang VERIFY_EVALUATION_COUNT( rm3.noalias() -= (cv1) * (rv1 * m1), 1 ); 1372b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang VERIFY_EVALUATION_COUNT( rm3.noalias() = (m1*cv1) * (rv1 * m1), 2 ); 1382b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang VERIFY_EVALUATION_COUNT( rm3.noalias() += (m1*cv1) * (rv1 * m1), 2 ); 1392b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang 1402b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang // Check nested products 1412b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang VERIFY_EVALUATION_COUNT( cvres.noalias() = m1.adjoint() * m1 * cv1, 1 ); 1422b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang VERIFY_EVALUATION_COUNT( rvres.noalias() = rv1 * (m1 * m2.adjoint()), 1 ); 143c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} 144c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 145c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid test_product_notemporary() 146c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ 147c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath int s; 148c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath for(int i = 0; i < g_repeat; i++) { 149c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath s = internal::random<int>(16,EIGEN_TEST_MAX_SIZE); 150c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_1( product_notemporary(MatrixXf(s, s)) ); 151c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_2( product_notemporary(MatrixXd(s, s)) ); 1522b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang TEST_SET_BUT_UNUSED_VARIABLE(s) 1532b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang 154c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath s = internal::random<int>(16,EIGEN_TEST_MAX_SIZE/2); 155c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_3( product_notemporary(MatrixXcf(s,s)) ); 156c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_4( product_notemporary(MatrixXcd(s,s)) ); 1572b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang TEST_SET_BUT_UNUSED_VARIABLE(s) 158c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath } 159c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} 160