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https://gitlab.com/libeigen/eigen.git
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28539e7597
the modifications to initial code follow: * changed build system from plain makefiles to cmake * added eigen2 (4 versions: vec/novec and fixed/dynamic), GMM++, MTL4 interfaces * added "transposed matrix * vector" product action * updated blitz interface to use condensed products instead of hand coded loops * removed some deprecated interfaces * changed default storage order to column major for all libraries * new generic bench timer strategy which is supposed to be more accurate * various code clean-up
132 lines
3.9 KiB
C++
132 lines
3.9 KiB
C++
//=====================================================
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// File : ublas_interface.hh
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// Author : L. Plagne <laurent.plagne@edf.fr)>
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// Copyright (C) EDF R&D, lun sep 30 14:23:27 CEST 2002
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//=====================================================
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//
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// This program is free software; you can redistribute it and/or
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// modify it under the terms of the GNU General Public License
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// as published by the Free Software Foundation; either version 2
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// of the License, or (at your option) any later version.
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//
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// This program is distributed in the hope that it will be useful,
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// but WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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// GNU General Public License for more details.
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// You should have received a copy of the GNU General Public License
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// along with this program; if not, write to the Free Software
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// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
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//
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#ifndef UBLAS_INTERFACE_HH
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#define UBLAS_INTERFACE_HH
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#include <boost/numeric/ublas/vector.hpp>
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#include <boost/numeric/ublas/matrix.hpp>
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#include <boost/numeric/ublas/io.hpp>
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template <class real>
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class ublas_interface{
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public :
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typedef real real_type ;
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typedef std::vector<real> stl_vector;
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typedef std::vector<stl_vector> stl_matrix;
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typedef typename boost::numeric::ublas::matrix<real,boost::numeric::ublas::column_major> gene_matrix;
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typedef typename boost::numeric::ublas::vector<real> gene_vector;
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static inline std::string name( void ) { return "ublas"; }
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static void free_matrix(gene_matrix & A, int N) {}
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static void free_vector(gene_vector & B) {}
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static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
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A.resize(A_stl.size(),A_stl[0].size());
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for (int i=0; i<A_stl.size() ; i++)
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for (int j=0; j<A_stl[i].size() ; j++)
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A(i,j)=A_stl[i][j];
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}
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static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
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B.resize(B_stl.size());
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for (int i=0; i<B_stl.size() ; i++)
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B(i)=B_stl[i];
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}
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static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
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for (int i=0; i<B_stl.size() ; i++)
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B_stl[i]=B(i);
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}
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static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
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int N=A_stl.size();
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for (int i=0;i<N;i++)
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{
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A_stl[i].resize(N);
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for (int j=0;j<N;j++)
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A_stl[i][j]=A(i,j);
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}
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}
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static inline void copy_vector(const gene_vector & source, gene_vector & cible, int N){
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for (int i=0;i<N;i++){
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cible(i) = source(i);
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}
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}
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static inline void copy_matrix(const gene_matrix & source, gene_matrix & cible, int N){
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for (int i=0;i<N;i++){
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for (int j=0;j<N;j++){
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cible(i,j) = source(i,j);
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}
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}
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}
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static inline void matrix_vector_product_slow(gene_matrix & A, gene_vector & B, gene_vector & X, int N){
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X = prod(A,B);
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}
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static inline void matrix_matrix_product_slow(gene_matrix & A, gene_matrix & B, gene_matrix & X, int N){
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X = prod(A,B);
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}
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static inline void axpy_slow(const real coef, const gene_vector & X, gene_vector & Y, int N){
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Y+=coef*X;
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}
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// alias free assignements
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static inline void matrix_vector_product(gene_matrix & A, gene_vector & B, gene_vector & X, int N){
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X.assign(prod(A,B));
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}
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static inline void atv_product(gene_matrix & A, gene_vector & B, gene_vector & X, int N){
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X.assign(prod(trans(A),B));
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}
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static inline void matrix_matrix_product(gene_matrix & A, gene_matrix & B, gene_matrix & X, int N){
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X.assign(prod(A,B));
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}
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static inline void axpy(const real coef, const gene_vector & X, gene_vector & Y, int N){
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Y.plus_assign(coef*X);
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}
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static inline void ata_product(gene_matrix & A, gene_matrix & X, int N){
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// X = prod(trans(A),A);
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X.assign(prod(trans(A),A));
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}
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static inline void aat_product(gene_matrix & A, gene_matrix & X, int N){
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// X = prod(A,trans(A));
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X.assign(prod(A,trans(A)));
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}
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};
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#endif
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