Disabled external gits

This commit is contained in:
2022-04-07 18:46:57 +02:00
parent 88cb3426ad
commit 15e7120d6d
5316 changed files with 4563444 additions and 6 deletions

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find_package(GMM)
if (GMM_FOUND)
include_directories(${GMM_INCLUDES})
btl_add_bench(btl_gmm main.cpp)
endif (GMM_FOUND)

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//=====================================================
// File : blitz_LU_solve_interface.hh
// Author : L. Plagne <laurent.plagne@edf.fr)>
// Copyright (C) EDF R&D, lun sep 30 14:23:31 CEST 2002
//=====================================================
//
// This program is free software; you can redistribute it and/or
// modify it under the terms of the GNU General Public License
// as published by the Free Software Foundation; either version 2
// of the License, or (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//
#ifndef BLITZ_LU_SOLVE_INTERFACE_HH
#define BLITZ_LU_SOLVE_INTERFACE_HH
#include "blitz/array.h"
#include <vector>
BZ_USING_NAMESPACE(blitz)
template<class real>
class blitz_LU_solve_interface : public blitz_interface<real>
{
public :
typedef typename blitz_interface<real>::gene_matrix gene_matrix;
typedef typename blitz_interface<real>::gene_vector gene_vector;
typedef blitz::Array<int,1> Pivot_Vector;
inline static void new_Pivot_Vector(Pivot_Vector & pivot,int N)
{
pivot.resize(N);
}
inline static void free_Pivot_Vector(Pivot_Vector & pivot)
{
return;
}
static inline real matrix_vector_product_sliced(const gene_matrix & A, gene_vector B, int row, int col_start, int col_end)
{
real somme=0.;
for (int j=col_start ; j<col_end+1 ; j++){
somme+=A(row,j)*B(j);
}
return somme;
}
static inline real matrix_matrix_product_sliced(gene_matrix & A, int row, int col_start, int col_end, gene_matrix & B, int row_shift, int col )
{
real somme=0.;
for (int j=col_start ; j<col_end+1 ; j++){
somme+=A(row,j)*B(j+row_shift,col);
}
return somme;
}
inline static void LU_factor(gene_matrix & LU, Pivot_Vector & pivot, int N)
{
ASSERT( LU.rows()==LU.cols() ) ;
int index_max = 0 ;
real big = 0. ;
real theSum = 0. ;
real dum = 0. ;
// Get the implicit scaling information :
gene_vector ImplicitScaling( N ) ;
for( int i=0; i<N; i++ ) {
big = 0. ;
for( int j=0; j<N; j++ ) {
if( abs( LU( i, j ) )>=big ) big = abs( LU( i, j ) ) ;
}
if( big==0. ) {
INFOS( "blitz_LU_factor::Singular matrix" ) ;
exit( 0 ) ;
}
ImplicitScaling( i ) = 1./big ;
}
// Loop over columns of Crout's method :
for( int j=0; j<N; j++ ) {
for( int i=0; i<j; i++ ) {
theSum = LU( i, j ) ;
theSum -= matrix_matrix_product_sliced(LU, i, 0, i-1, LU, 0, j) ;
// theSum -= sum( LU( i, Range( fromStart, i-1 ) )*LU( Range( fromStart, i-1 ), j ) ) ;
LU( i, j ) = theSum ;
}
// Search for the largest pivot element :
big = 0. ;
for( int i=j; i<N; i++ ) {
theSum = LU( i, j ) ;
theSum -= matrix_matrix_product_sliced(LU, i, 0, j-1, LU, 0, j) ;
// theSum -= sum( LU( i, Range( fromStart, j-1 ) )*LU( Range( fromStart, j-1 ), j ) ) ;
LU( i, j ) = theSum ;
if( (ImplicitScaling( i )*abs( theSum ))>=big ) {
dum = ImplicitScaling( i )*abs( theSum ) ;
big = dum ;
index_max = i ;
}
}
// Interchanging rows and the scale factor :
if( j!=index_max ) {
for( int k=0; k<N; k++ ) {
dum = LU( index_max, k ) ;
LU( index_max, k ) = LU( j, k ) ;
LU( j, k ) = dum ;
}
ImplicitScaling( index_max ) = ImplicitScaling( j ) ;
}
pivot( j ) = index_max ;
if ( LU( j, j )==0. ) LU( j, j ) = 1.e-20 ;
// Divide by the pivot element :
if( j<N ) {
dum = 1./LU( j, j ) ;
for( int i=j+1; i<N; i++ ) LU( i, j ) *= dum ;
}
}
}
inline static void LU_solve(const gene_matrix & LU, const Pivot_Vector pivot, gene_vector &B, gene_vector X, int N)
{
// Pour conserver le meme header, on travaille sur X, copie du second-membre B
X = B.copy() ;
ASSERT( LU.rows()==LU.cols() ) ;
firstIndex indI ;
// Forward substitution :
int ii = 0 ;
real theSum = 0. ;
for( int i=0; i<N; i++ ) {
int ip = pivot( i ) ;
theSum = X( ip ) ;
// theSum = B( ip ) ;
X( ip ) = X( i ) ;
// B( ip ) = B( i ) ;
if( ii ) {
theSum -= matrix_vector_product_sliced(LU, X, i, ii-1, i-1) ;
// theSum -= sum( LU( i, Range( ii-1, i-1 ) )*X( Range( ii-1, i-1 ) ) ) ;
// theSum -= sum( LU( i, Range( ii-1, i-1 ) )*B( Range( ii-1, i-1 ) ) ) ;
} else if( theSum ) {
ii = i+1 ;
}
X( i ) = theSum ;
// B( i ) = theSum ;
}
// Backsubstitution :
for( int i=N-1; i>=0; i-- ) {
theSum = X( i ) ;
// theSum = B( i ) ;
theSum -= matrix_vector_product_sliced(LU, X, i, i+1, N) ;
// theSum -= sum( LU( i, Range( i+1, toEnd ) )*X( Range( i+1, toEnd ) ) ) ;
// theSum -= sum( LU( i, Range( i+1, toEnd ) )*B( Range( i+1, toEnd ) ) ) ;
// Store a component of the solution vector :
X( i ) = theSum/LU( i, i ) ;
// B( i ) = theSum/LU( i, i ) ;
}
}
};
#endif

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//=====================================================
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
//=====================================================
//
// This program is free software; you can redistribute it and/or
// modify it under the terms of the GNU General Public License
// as published by the Free Software Foundation; either version 2
// of the License, or (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//
#ifndef GMM_INTERFACE_HH
#define GMM_INTERFACE_HH
#include <gmm/gmm.h>
#include <vector>
using namespace gmm;
template<class real>
class gmm_interface {
public :
typedef real real_type ;
typedef std::vector<real> stl_vector;
typedef std::vector<stl_vector > stl_matrix;
typedef gmm::dense_matrix<real> gene_matrix;
typedef stl_vector gene_vector;
static inline std::string name( void )
{
return "gmm";
}
static void free_matrix(gene_matrix & A, int N){
return ;
}
static void free_vector(gene_vector & B){
return ;
}
static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
A.resize(A_stl[0].size(),A_stl.size());
for (int j=0; j<A_stl.size() ; j++){
for (int i=0; i<A_stl[j].size() ; i++){
A(i,j) = A_stl[j][i];
}
}
}
static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
B = B_stl;
}
static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
B_stl = B;
}
static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
int N=A_stl.size();
for (int j=0;j<N;j++){
A_stl[j].resize(N);
for (int i=0;i<N;i++){
A_stl[j][i] = A(i,j);
}
}
}
static inline void matrix_matrix_product(const gene_matrix & A, const gene_matrix & B, gene_matrix & X, int N){
gmm::mult(A,B, X);
}
static inline void transposed_matrix_matrix_product(const gene_matrix & A, const gene_matrix & B, gene_matrix & X, int N){
gmm::mult(gmm::transposed(A),gmm::transposed(B), X);
}
static inline void ata_product(const gene_matrix & A, gene_matrix & X, int N){
gmm::mult(gmm::transposed(A),A, X);
}
static inline void aat_product(const gene_matrix & A, gene_matrix & X, int N){
gmm::mult(A,gmm::transposed(A), X);
}
static inline void matrix_vector_product(gene_matrix & A, gene_vector & B, gene_vector & X, int N){
gmm::mult(A,B,X);
}
static inline void atv_product(gene_matrix & A, gene_vector & B, gene_vector & X, int N){
gmm::mult(gmm::transposed(A),B,X);
}
static inline void axpy(const real coef, const gene_vector & X, gene_vector & Y, int N){
gmm::add(gmm::scaled(X,coef), Y);
}
static inline void axpby(real a, const gene_vector & X, real b, gene_vector & Y, int N){
gmm::add(gmm::scaled(X,a), gmm::scaled(Y,b), Y);
}
static inline void copy_matrix(const gene_matrix & source, gene_matrix & cible, int N){
gmm::copy(source,cible);
}
static inline void copy_vector(const gene_vector & source, gene_vector & cible, int N){
gmm::copy(source,cible);
}
static inline void trisolve_lower(const gene_matrix & L, const gene_vector& B, gene_vector & X, int N){
gmm::copy(B,X);
gmm::lower_tri_solve(L, X, false);
}
static inline void partial_lu_decomp(const gene_matrix & X, gene_matrix & R, int N){
gmm::copy(X,R);
std::vector<int> ipvt(N);
gmm::lu_factor(R, ipvt);
}
static inline void hessenberg(const gene_matrix & X, gene_matrix & R, int N){
gmm::copy(X,R);
gmm::Hessenberg_reduction(R,X,false);
}
static inline void tridiagonalization(const gene_matrix & X, gene_matrix & R, int N){
gmm::copy(X,R);
gmm::Householder_tridiagonalization(R,X,false);
}
};
#endif

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//=====================================================
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
//=====================================================
//
// This program is free software; you can redistribute it and/or
// modify it under the terms of the GNU General Public License
// as published by the Free Software Foundation; either version 2
// of the License, or (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//
#include "utilities.h"
#include "gmm_interface.hh"
#include "bench.hh"
#include "basic_actions.hh"
#include "action_hessenberg.hh"
#include "action_partial_lu.hh"
BTL_MAIN;
int main()
{
bench<Action_axpy<gmm_interface<REAL_TYPE> > >(MIN_AXPY,MAX_AXPY,NB_POINT);
bench<Action_axpby<gmm_interface<REAL_TYPE> > >(MIN_AXPY,MAX_AXPY,NB_POINT);
bench<Action_matrix_vector_product<gmm_interface<REAL_TYPE> > >(MIN_MV,MAX_MV,NB_POINT);
bench<Action_atv_product<gmm_interface<REAL_TYPE> > >(MIN_MV,MAX_MV,NB_POINT);
bench<Action_matrix_matrix_product<gmm_interface<REAL_TYPE> > >(MIN_MM,MAX_MM,NB_POINT);
// bench<Action_ata_product<gmm_interface<REAL_TYPE> > >(MIN_MM,MAX_MM,NB_POINT);
// bench<Action_aat_product<gmm_interface<REAL_TYPE> > >(MIN_MM,MAX_MM,NB_POINT);
bench<Action_trisolve<gmm_interface<REAL_TYPE> > >(MIN_MM,MAX_MM,NB_POINT);
//bench<Action_lu_solve<blitz_LU_solve_interface<REAL_TYPE> > >(MIN_LU,MAX_LU,NB_POINT);
bench<Action_partial_lu<gmm_interface<REAL_TYPE> > >(MIN_MM,MAX_MM,NB_POINT);
bench<Action_hessenberg<gmm_interface<REAL_TYPE> > >(MIN_MM,MAX_MM,NB_POINT);
bench<Action_tridiagonalization<gmm_interface<REAL_TYPE> > >(MIN_MM,MAX_MM,NB_POINT);
return 0;
}