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 Gael Guennebaud <gael.guennebaud@inria.fr> 5c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com> 6c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// 7c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This Source Code Form is subject to the terms of the Mozilla 8c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Public License v. 2.0. If a copy of the MPL was not distributed 9c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// with this file, You can obtain one at http://mozilla.org/MPL/2.0/. 10c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#define EIGEN2_SUPPORT 12615d816d068b4d0f5e8df601930b5f160bf7eda1Tim Murray#define EIGEN_NO_EIGEN2_DEPRECATED_WARNING 13615d816d068b4d0f5e8df601930b5f160bf7eda1Tim Murray 14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#define EIGEN_NO_STATIC_ASSERT 15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include "main.h" 16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <functional> 17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#ifdef min 19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#undef min 20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#endif 21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#ifdef max 23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#undef max 24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#endif 25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathusing namespace std; 27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Scalar> struct AddIfNull { 29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath const Scalar operator() (const Scalar a, const Scalar b) const {return a<=1e-3 ? b : a;} 30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath enum { Cost = NumTraits<Scalar>::AddCost }; 31c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}; 32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 337faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandeztemplate<typename MatrixType> 347faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandeztypename Eigen::internal::enable_if<!NumTraits<typename MatrixType::Scalar>::IsInteger,typename MatrixType::Scalar>::type 357faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandezcwiseops_real_only(MatrixType& m1, MatrixType& m2, MatrixType& m3, MatrixType& mones) 367faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez{ 377faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez typedef typename MatrixType::Scalar Scalar; 387faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez typedef typename NumTraits<Scalar>::Real RealScalar; 397faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez 407faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez VERIFY_IS_APPROX(m1.cwise() / m2, m1.cwise() * (m2.cwise().inverse())); 417faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez m3 = m1.cwise().abs().cwise().sqrt(); 427faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez VERIFY_IS_APPROX(m3.cwise().square(), m1.cwise().abs()); 437faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez VERIFY_IS_APPROX(m1.cwise().square().cwise().sqrt(), m1.cwise().abs()); 447faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez VERIFY_IS_APPROX(m1.cwise().abs().cwise().log().cwise().exp() , m1.cwise().abs()); 457faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez 467faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez VERIFY_IS_APPROX(m1.cwise().pow(2), m1.cwise().square()); 477faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez m3 = (m1.cwise().abs().cwise()<=RealScalar(0.01)).select(mones,m1); 487faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez VERIFY_IS_APPROX(m3.cwise().pow(-1), m3.cwise().inverse()); 497faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez m3 = m1.cwise().abs(); 507faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez VERIFY_IS_APPROX(m3.cwise().pow(RealScalar(0.5)), m3.cwise().sqrt()); 517faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez 527faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez// VERIFY_IS_APPROX(m1.cwise().tan(), m1.cwise().sin().cwise() / m1.cwise().cos()); 537faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez VERIFY_IS_APPROX(mones, m1.cwise().sin().cwise().square() + m1.cwise().cos().cwise().square()); 547faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez m3 = m1; 557faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez m3.cwise() /= m2; 567faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez VERIFY_IS_APPROX(m3, m1.cwise() / m2); 577faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez 587faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez return Scalar(0); 597faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez} 607faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez 617faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandeztemplate<typename MatrixType> 627faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandeztypename Eigen::internal::enable_if<NumTraits<typename MatrixType::Scalar>::IsInteger,typename MatrixType::Scalar>::type 637faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandezcwiseops_real_only(MatrixType& , MatrixType& , MatrixType& , MatrixType& ) 647faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez{ 657faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez return 0; 667faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez} 677faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez 68c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename MatrixType> void cwiseops(const MatrixType& m) 69c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ 70c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typedef typename MatrixType::Index Index; 71c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typedef typename MatrixType::Scalar Scalar; 72c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType; 73c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 74c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath Index rows = m.rows(); 75c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath Index cols = m.cols(); 76c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 77c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath MatrixType m1 = MatrixType::Random(rows, cols), 787faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez m1bis = m1, 79c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath m2 = MatrixType::Random(rows, cols), 80c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath m3(rows, cols), 81c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath m4(rows, cols), 82c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath mzero = MatrixType::Zero(rows, cols), 83c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath mones = MatrixType::Ones(rows, cols), 84c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath identity = Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> 85c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath ::Identity(rows, rows); 86c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VectorType vzero = VectorType::Zero(rows), 87c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath vones = VectorType::Ones(rows), 88c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v3(rows); 89c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 90c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath Index r = internal::random<Index>(0, rows-1), 91c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath c = internal::random<Index>(0, cols-1); 92c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 93c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath Scalar s1 = internal::random<Scalar>(); 94c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 95c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // test Zero, Ones, Constant, and the set* variants 96c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath m3 = MatrixType::Constant(rows, cols, s1); 97c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath for (int j=0; j<cols; ++j) 98c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath for (int i=0; i<rows; ++i) 99c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath { 100c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(mzero(i,j), Scalar(0)); 101c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(mones(i,j), Scalar(1)); 102c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(m3(i,j), s1); 103c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath } 104c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY(mzero.isZero()); 105c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY(mones.isOnes()); 106c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY(m3.isConstant(s1)); 107c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY(identity.isIdentity()); 108c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(m4.setConstant(s1), m3); 109c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(m4.setConstant(rows,cols,s1), m3); 110c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(m4.setZero(), mzero); 111c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(m4.setZero(rows,cols), mzero); 112c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(m4.setOnes(), mones); 113c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(m4.setOnes(rows,cols), mones); 114c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath m4.fill(s1); 115c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(m4, m3); 116c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 117c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(v3.setConstant(rows, s1), VectorType::Constant(rows,s1)); 118c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(v3.setZero(rows), vzero); 119c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(v3.setOnes(rows), vones); 120c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 121c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath m2 = m2.template binaryExpr<AddIfNull<Scalar> >(mones); 122c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 123c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(m1.cwise().pow(2), m1.cwise().abs2()); 124c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(m1.cwise().pow(2), m1.cwise().square()); 125c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(m1.cwise().pow(3), m1.cwise().cube()); 126c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 127c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(m1 + mones, m1.cwise()+Scalar(1)); 128c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(m1 - mones, m1.cwise()-Scalar(1)); 129c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath m3 = m1; m3.cwise() += 1; 130c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(m1 + mones, m3); 131c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath m3 = m1; m3.cwise() -= 1; 132c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(m1 - mones, m3); 133c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 134c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(m2, m2.cwise() * mones); 135c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(m1.cwise() * m2, m2.cwise() * m1); 136c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath m3 = m1; 137c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath m3.cwise() *= m2; 138c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(m3, m1.cwise() * m2); 139c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 140c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(mones, m2.cwise()/m2); 141c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 142c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // check min 143c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX( m1.cwise().min(m2), m2.cwise().min(m1) ); 144c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX( m1.cwise().min(m1+mones), m1 ); 145c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX( m1.cwise().min(m1-mones), m1-mones ); 146c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 147c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // check max 148c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX( m1.cwise().max(m2), m2.cwise().max(m1) ); 149c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX( m1.cwise().max(m1-mones), m1 ); 150c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX( m1.cwise().max(m1+mones), m1+mones ); 151c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 152c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY( (m1.cwise() == m1).all() ); 153c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY( (m1.cwise() != m2).any() ); 154c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY(!(m1.cwise() == (m1+mones)).any() ); 155c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath if (rows*cols>1) 156c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath { 157c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath m3 = m1; 158c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath m3(r,c) += 1; 159c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY( (m1.cwise() == m3).any() ); 160c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY( !(m1.cwise() == m3).all() ); 161c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath } 162c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY( (m1.cwise().min(m2).cwise() <= m2).all() ); 163c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY( (m1.cwise().max(m2).cwise() >= m2).all() ); 164c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY( (m1.cwise().min(m2).cwise() < (m1+mones)).all() ); 165c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY( (m1.cwise().max(m2).cwise() > (m1-mones)).all() ); 166c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 167c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY( (m1.cwise()<m1.unaryExpr(bind2nd(plus<Scalar>(), Scalar(1)))).all() ); 1687faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez VERIFY( !(m1.cwise()<m1bis.unaryExpr(bind2nd(minus<Scalar>(), Scalar(1)))).all() ); 1697faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez VERIFY( !(m1.cwise()>m1bis.unaryExpr(bind2nd(plus<Scalar>(), Scalar(1)))).any() ); 1707faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez 1717faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez cwiseops_real_only(m1, m2, m3, mones); 172c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} 173c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 174c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid test_cwiseop() 175c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ 176c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath for(int i = 0; i < g_repeat ; i++) { 177c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_1( cwiseops(Matrix<float, 1, 1>()) ); 178c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_2( cwiseops(Matrix4d()) ); 179c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_3( cwiseops(MatrixXf(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) ); 180c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_4( cwiseops(MatrixXf(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) ); 181c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_5( cwiseops(MatrixXi(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) ); 182c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_6( cwiseops(MatrixXd(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) ); 183c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath } 184c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} 185