// This file is part of Eigen, a lightweight C++ template library // for linear algebra. Eigen itself is part of the KDE project. // // Copyright (C) 2006-2008 Benoit Jacob // // 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 "product.h" void test_eigen2_product_large() { for(int i = 0; i < g_repeat; i++) { CALL_SUBTEST_1( product(MatrixXf(ei_random(1,320), ei_random(1,320))) ); CALL_SUBTEST_2( product(MatrixXd(ei_random(1,320), ei_random(1,320))) ); CALL_SUBTEST_3( product(MatrixXi(ei_random(1,320), ei_random(1,320))) ); CALL_SUBTEST_4( product(MatrixXcf(ei_random(1,50), ei_random(1,50))) ); CALL_SUBTEST_5( product(Matrix(ei_random(1,320), ei_random(1,320))) ); } #ifdef EIGEN_TEST_PART_6 { // test a specific issue in DiagonalProduct int N = 1000000; VectorXf v = VectorXf::Ones(N); MatrixXf m = MatrixXf::Ones(N,3); m = (v+v).asDiagonal() * m; VERIFY_IS_APPROX(m, MatrixXf::Constant(N,3,2)); } { // test deferred resizing in Matrix::operator= MatrixXf a = MatrixXf::Random(10,4), b = MatrixXf::Random(4,10), c = a; VERIFY_IS_APPROX((a = a * b), (c * b).eval()); } { MatrixXf mat1(10,10); mat1.setRandom(); MatrixXf mat2(32,10); mat2.setRandom(); MatrixXf result = mat1.row(2)*mat2.transpose(); VERIFY_IS_APPROX(result, (mat1.row(2)*mat2.transpose()).eval()); } #endif }