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294 lines
12 KiB
C++
294 lines
12 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#define EIGEN_NO_STATIC_ASSERT
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#include "product.h"
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#include <Eigen/LU>
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// regression test for bug 447
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template<int>
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void product1x1()
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{
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Matrix<float,1,3> matAstatic;
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Matrix<float,3,1> matBstatic;
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matAstatic.setRandom();
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matBstatic.setRandom();
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VERIFY_IS_APPROX( (matAstatic * matBstatic).coeff(0,0),
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matAstatic.cwiseProduct(matBstatic.transpose()).sum() );
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MatrixXf matAdynamic(1,3);
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MatrixXf matBdynamic(3,1);
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matAdynamic.setRandom();
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matBdynamic.setRandom();
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VERIFY_IS_APPROX( (matAdynamic * matBdynamic).coeff(0,0),
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matAdynamic.cwiseProduct(matBdynamic.transpose()).sum() );
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}
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template<typename TC, typename TA, typename TB>
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const TC& ref_prod(TC &C, const TA &A, const TB &B)
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{
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for(Index i=0;i<C.rows();++i)
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for(Index j=0;j<C.cols();++j)
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for(Index k=0;k<A.cols();++k)
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C.coeffRef(i,j) += A.coeff(i,k) * B.coeff(k,j);
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return C;
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}
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template<typename T, int Rows, int Cols, int Depth, int OC, int OA, int OB>
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typename internal::enable_if<! ( (Rows ==1&&Depth!=1&&OA==ColMajor)
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|| (Depth==1&&Rows !=1&&OA==RowMajor)
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|| (Cols ==1&&Depth!=1&&OB==RowMajor)
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|| (Depth==1&&Cols !=1&&OB==ColMajor)
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|| (Rows ==1&&Cols !=1&&OC==ColMajor)
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|| (Cols ==1&&Rows !=1&&OC==RowMajor)),void>::type
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test_lazy_single(int rows, int cols, int depth)
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{
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Matrix<T,Rows,Depth,OA> A(rows,depth); A.setRandom();
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Matrix<T,Depth,Cols,OB> B(depth,cols); B.setRandom();
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Matrix<T,Rows,Cols,OC> C(rows,cols); C.setRandom();
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Matrix<T,Rows,Cols,OC> D(C);
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VERIFY_IS_APPROX(C+=A.lazyProduct(B), ref_prod(D,A,B));
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}
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template<typename T, int Rows, int Cols, int Depth, int OC, int OA, int OB>
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typename internal::enable_if< ( (Rows ==1&&Depth!=1&&OA==ColMajor)
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|| (Depth==1&&Rows !=1&&OA==RowMajor)
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|| (Cols ==1&&Depth!=1&&OB==RowMajor)
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|| (Depth==1&&Cols !=1&&OB==ColMajor)
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|| (Rows ==1&&Cols !=1&&OC==ColMajor)
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|| (Cols ==1&&Rows !=1&&OC==RowMajor)),void>::type
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test_lazy_single(int, int, int)
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{
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}
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template<typename T, int Rows, int Cols, int Depth>
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void test_lazy_all_layout(int rows=Rows, int cols=Cols, int depth=Depth)
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{
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CALL_SUBTEST(( test_lazy_single<T,Rows,Cols,Depth,ColMajor,ColMajor,ColMajor>(rows,cols,depth) ));
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CALL_SUBTEST(( test_lazy_single<T,Rows,Cols,Depth,RowMajor,ColMajor,ColMajor>(rows,cols,depth) ));
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CALL_SUBTEST(( test_lazy_single<T,Rows,Cols,Depth,ColMajor,RowMajor,ColMajor>(rows,cols,depth) ));
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CALL_SUBTEST(( test_lazy_single<T,Rows,Cols,Depth,RowMajor,RowMajor,ColMajor>(rows,cols,depth) ));
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CALL_SUBTEST(( test_lazy_single<T,Rows,Cols,Depth,ColMajor,ColMajor,RowMajor>(rows,cols,depth) ));
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CALL_SUBTEST(( test_lazy_single<T,Rows,Cols,Depth,RowMajor,ColMajor,RowMajor>(rows,cols,depth) ));
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CALL_SUBTEST(( test_lazy_single<T,Rows,Cols,Depth,ColMajor,RowMajor,RowMajor>(rows,cols,depth) ));
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CALL_SUBTEST(( test_lazy_single<T,Rows,Cols,Depth,RowMajor,RowMajor,RowMajor>(rows,cols,depth) ));
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}
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template<typename T>
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void test_lazy_l1()
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{
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int rows = internal::random<int>(1,12);
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int cols = internal::random<int>(1,12);
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int depth = internal::random<int>(1,12);
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// Inner
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CALL_SUBTEST(( test_lazy_all_layout<T,1,1,1>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,1,1,2>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,1,1,3>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,1,1,8>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,1,1,9>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,1,1,-1>(1,1,depth) ));
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// Outer
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CALL_SUBTEST(( test_lazy_all_layout<T,2,1,1>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,1,2,1>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,2,2,1>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,3,3,1>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,4,4,1>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,4,8,1>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,4,-1,1>(4,cols) ));
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CALL_SUBTEST(( test_lazy_all_layout<T,7,-1,1>(7,cols) ));
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CALL_SUBTEST(( test_lazy_all_layout<T,-1,8,1>(rows) ));
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CALL_SUBTEST(( test_lazy_all_layout<T,-1,3,1>(rows) ));
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CALL_SUBTEST(( test_lazy_all_layout<T,-1,-1,1>(rows,cols) ));
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}
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template<typename T>
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void test_lazy_l2()
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{
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int rows = internal::random<int>(1,12);
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int cols = internal::random<int>(1,12);
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int depth = internal::random<int>(1,12);
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// mat-vec
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CALL_SUBTEST(( test_lazy_all_layout<T,2,1,2>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,2,1,4>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,4,1,2>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,4,1,4>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,5,1,4>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,4,1,5>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,4,1,6>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,6,1,4>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,8,1,8>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,-1,1,4>(rows) ));
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CALL_SUBTEST(( test_lazy_all_layout<T,4,1,-1>(4,1,depth) ));
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CALL_SUBTEST(( test_lazy_all_layout<T,-1,1,-1>(rows,1,depth) ));
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// vec-mat
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CALL_SUBTEST(( test_lazy_all_layout<T,1,2,2>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,1,2,4>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,1,4,2>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,1,4,4>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,1,5,4>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,1,4,5>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,1,4,6>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,1,6,4>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,1,8,8>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,1,-1, 4>(1,cols) ));
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CALL_SUBTEST(( test_lazy_all_layout<T,1, 4,-1>(1,4,depth) ));
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CALL_SUBTEST(( test_lazy_all_layout<T,1,-1,-1>(1,cols,depth) ));
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}
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template<typename T>
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void test_lazy_l3()
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{
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int rows = internal::random<int>(1,12);
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int cols = internal::random<int>(1,12);
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int depth = internal::random<int>(1,12);
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// mat-mat
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CALL_SUBTEST(( test_lazy_all_layout<T,2,4,2>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,2,6,4>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,4,3,2>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,4,8,4>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,5,6,4>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,4,2,5>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,4,7,6>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,6,8,4>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,8,3,8>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,-1,6,4>(rows) ));
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CALL_SUBTEST(( test_lazy_all_layout<T,4,3,-1>(4,3,depth) ));
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CALL_SUBTEST(( test_lazy_all_layout<T,-1,6,-1>(rows,6,depth) ));
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CALL_SUBTEST(( test_lazy_all_layout<T,8,2,2>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,5,2,4>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,4,4,2>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,8,4,4>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,6,5,4>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,4,4,5>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,3,4,6>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,2,6,4>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,7,8,8>() ));
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CALL_SUBTEST(( test_lazy_all_layout<T,8,-1, 4>(8,cols) ));
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CALL_SUBTEST(( test_lazy_all_layout<T,3, 4,-1>(3,4,depth) ));
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CALL_SUBTEST(( test_lazy_all_layout<T,4,-1,-1>(4,cols,depth) ));
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}
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template<typename T,int N,int M,int K>
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void test_linear_but_not_vectorizable()
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{
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// Check tricky cases for which the result of the product is a vector and thus must exhibit the LinearBit flag,
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// but is not vectorizable along the linear dimension.
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Index n = N==Dynamic ? internal::random<Index>(1,32) : N;
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Index m = M==Dynamic ? internal::random<Index>(1,32) : M;
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Index k = K==Dynamic ? internal::random<Index>(1,32) : K;
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{
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Matrix<T,N,M+1> A; A.setRandom(n,m+1);
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Matrix<T,M*2,K> B; B.setRandom(m*2,k);
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Matrix<T,1,K> C;
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Matrix<T,1,K> R;
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C.noalias() = A.template topLeftCorner<1,M>() * (B.template topRows<M>()+B.template bottomRows<M>());
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R.noalias() = A.template topLeftCorner<1,M>() * (B.template topRows<M>()+B.template bottomRows<M>()).eval();
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VERIFY_IS_APPROX(C,R);
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}
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{
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Matrix<T,M+1,N,RowMajor> A; A.setRandom(m+1,n);
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Matrix<T,K,M*2,RowMajor> B; B.setRandom(k,m*2);
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Matrix<T,K,1> C;
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Matrix<T,K,1> R;
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C.noalias() = (B.template leftCols<M>()+B.template rightCols<M>()) * A.template topLeftCorner<M,1>();
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R.noalias() = (B.template leftCols<M>()+B.template rightCols<M>()).eval() * A.template topLeftCorner<M,1>();
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VERIFY_IS_APPROX(C,R);
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}
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}
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template<int Rows>
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void bug_1311()
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{
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Matrix< double, Rows, 2 > A; A.setRandom();
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Vector2d b = Vector2d::Random() ;
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Matrix<double,Rows,1> res;
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res.noalias() = 1. * (A * b);
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VERIFY_IS_APPROX(res, A*b);
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res.noalias() = 1.*A * b;
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VERIFY_IS_APPROX(res, A*b);
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res.noalias() = (1.*A).lazyProduct(b);
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VERIFY_IS_APPROX(res, A*b);
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res.noalias() = (1.*A).lazyProduct(1.*b);
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VERIFY_IS_APPROX(res, A*b);
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res.noalias() = (A).lazyProduct(1.*b);
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VERIFY_IS_APPROX(res, A*b);
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}
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void test_product_small()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST_1( product(Matrix<float, 3, 2>()) );
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CALL_SUBTEST_2( product(Matrix<int, 3, 17>()) );
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CALL_SUBTEST_8( product(Matrix<double, 3, 17>()) );
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CALL_SUBTEST_3( product(Matrix3d()) );
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CALL_SUBTEST_4( product(Matrix4d()) );
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CALL_SUBTEST_5( product(Matrix4f()) );
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CALL_SUBTEST_6( product1x1<0>() );
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CALL_SUBTEST_11( test_lazy_l1<float>() );
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CALL_SUBTEST_12( test_lazy_l2<float>() );
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CALL_SUBTEST_13( test_lazy_l3<float>() );
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CALL_SUBTEST_21( test_lazy_l1<double>() );
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CALL_SUBTEST_22( test_lazy_l2<double>() );
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CALL_SUBTEST_23( test_lazy_l3<double>() );
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CALL_SUBTEST_31( test_lazy_l1<std::complex<float> >() );
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CALL_SUBTEST_32( test_lazy_l2<std::complex<float> >() );
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CALL_SUBTEST_33( test_lazy_l3<std::complex<float> >() );
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CALL_SUBTEST_41( test_lazy_l1<std::complex<double> >() );
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CALL_SUBTEST_42( test_lazy_l2<std::complex<double> >() );
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CALL_SUBTEST_43( test_lazy_l3<std::complex<double> >() );
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CALL_SUBTEST_7(( test_linear_but_not_vectorizable<float,2,1,Dynamic>() ));
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CALL_SUBTEST_7(( test_linear_but_not_vectorizable<float,3,1,Dynamic>() ));
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CALL_SUBTEST_7(( test_linear_but_not_vectorizable<float,2,1,16>() ));
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CALL_SUBTEST_6( bug_1311<3>() );
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CALL_SUBTEST_6( bug_1311<5>() );
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}
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#ifdef EIGEN_TEST_PART_6
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{
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// test compilation of (outer_product) * vector
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Vector3f v = Vector3f::Random();
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VERIFY_IS_APPROX( (v * v.transpose()) * v, (v * v.transpose()).eval() * v);
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}
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{
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// regression test for pull-request #93
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Eigen::Matrix<double, 1, 1> A; A.setRandom();
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Eigen::Matrix<double, 18, 1> B; B.setRandom();
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Eigen::Matrix<double, 1, 18> C; C.setRandom();
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VERIFY_IS_APPROX(B * A.inverse(), B * A.inverse()[0]);
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VERIFY_IS_APPROX(A.inverse() * C, A.inverse()[0] * C);
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}
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{
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Eigen::Matrix<double, 10, 10> A, B, C;
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A.setRandom();
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C = A;
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for(int k=0; k<79; ++k)
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C = C * A;
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B.noalias() = (((A*A)*(A*A))*((A*A)*(A*A))*((A*A)*(A*A))*((A*A)*(A*A))*((A*A)*(A*A)) * ((A*A)*(A*A))*((A*A)*(A*A))*((A*A)*(A*A))*((A*A)*(A*A))*((A*A)*(A*A)))
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* (((A*A)*(A*A))*((A*A)*(A*A))*((A*A)*(A*A))*((A*A)*(A*A))*((A*A)*(A*A)) * ((A*A)*(A*A))*((A*A)*(A*A))*((A*A)*(A*A))*((A*A)*(A*A))*((A*A)*(A*A)));
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VERIFY_IS_APPROX(B,C);
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}
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#endif
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}
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