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Austin Schuh189376f2018-12-20 22:11:15 +11001//=====================================================
2// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
3//=====================================================
4//
5// This program is free software; you can redistribute it and/or
6// modify it under the terms of the GNU General Public License
7// as published by the Free Software Foundation; either version 2
8// of the License, or (at your option) any later version.
9//
10// This program is distributed in the hope that it will be useful,
11// but WITHOUT ANY WARRANTY; without even the implied warranty of
12// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
13// GNU General Public License for more details.
14// You should have received a copy of the GNU General Public License
15// along with this program; if not, write to the Free Software
16// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
17//
18#ifndef BLAZE_INTERFACE_HH
19#define BLAZE_INTERFACE_HH
20
21#include <blaze/Math.h>
22#include <blaze/Blaze.h>
Austin Schuhc55b0172022-02-20 17:52:35 -080023#include <Eigen/Core>
Austin Schuh189376f2018-12-20 22:11:15 +110024// using namespace blaze;
25
26#include <vector>
27
28template<class real>
29class blaze_interface {
30
31public :
32
33 typedef real real_type ;
34
35 typedef std::vector<real> stl_vector;
36 typedef std::vector<stl_vector > stl_matrix;
37
38 typedef blaze::DynamicMatrix<real,blaze::columnMajor> gene_matrix;
39 typedef blaze::DynamicVector<real> gene_vector;
40
41 static inline std::string name() { return "blaze"; }
42
43 static void free_matrix(gene_matrix & A, int N){
44 return ;
45 }
46
47 static void free_vector(gene_vector & B){
48 return ;
49 }
50
51 static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
52 A.resize(A_stl[0].size(), A_stl.size());
53
54 for (int j=0; j<A_stl.size() ; j++){
55 for (int i=0; i<A_stl[j].size() ; i++){
56 A(i,j) = A_stl[j][i];
57 }
58 }
59 }
60
61 static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){
62 B.resize(B_stl.size());
63 for (int i=0; i<B_stl.size() ; i++){
64 B[i] = B_stl[i];
65 }
66 }
67
68 static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
69 for (int i=0; i<B_stl.size() ; i++){
70 B_stl[i] = B[i];
71 }
72 }
73
74 static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
75 int N=A_stl.size();
76 for (int j=0;j<N;j++){
77 A_stl[j].resize(N);
78 for (int i=0;i<N;i++){
79 A_stl[j][i] = A(i,j);
80 }
81 }
82 }
83
Austin Schuhc55b0172022-02-20 17:52:35 -080084 static EIGEN_DONT_INLINE void matrix_matrix_product(const gene_matrix & A, const gene_matrix & B, gene_matrix & X, int N){
Austin Schuh189376f2018-12-20 22:11:15 +110085 X = (A*B);
86 }
87
Austin Schuhc55b0172022-02-20 17:52:35 -080088 static EIGEN_DONT_INLINE void transposed_matrix_matrix_product(const gene_matrix & A, const gene_matrix & B, gene_matrix & X, int N){
Austin Schuh189376f2018-12-20 22:11:15 +110089 X = (trans(A)*trans(B));
90 }
91
Austin Schuhc55b0172022-02-20 17:52:35 -080092 static EIGEN_DONT_INLINE void ata_product(const gene_matrix & A, gene_matrix & X, int N){
Austin Schuh189376f2018-12-20 22:11:15 +110093 X = (trans(A)*A);
94 }
95
Austin Schuhc55b0172022-02-20 17:52:35 -080096 static EIGEN_DONT_INLINE void aat_product(const gene_matrix & A, gene_matrix & X, int N){
Austin Schuh189376f2018-12-20 22:11:15 +110097 X = (A*trans(A));
98 }
99
Austin Schuhc55b0172022-02-20 17:52:35 -0800100 static EIGEN_DONT_INLINE void matrix_vector_product(gene_matrix & A, gene_vector & B, gene_vector & X, int N){
Austin Schuh189376f2018-12-20 22:11:15 +1100101 X = (A*B);
102 }
103
Austin Schuhc55b0172022-02-20 17:52:35 -0800104 static EIGEN_DONT_INLINE void atv_product(gene_matrix & A, gene_vector & B, gene_vector & X, int N){
Austin Schuh189376f2018-12-20 22:11:15 +1100105 X = (trans(A)*B);
106 }
107
Austin Schuhc55b0172022-02-20 17:52:35 -0800108 static EIGEN_DONT_INLINE void axpy(const real coef, const gene_vector & X, gene_vector & Y, int N){
Austin Schuh189376f2018-12-20 22:11:15 +1100109 Y += coef * X;
110 }
111
Austin Schuhc55b0172022-02-20 17:52:35 -0800112 static EIGEN_DONT_INLINE void axpby(real a, const gene_vector & X, real b, gene_vector & Y, int N){
Austin Schuh189376f2018-12-20 22:11:15 +1100113 Y = a*X + b*Y;
114 }
115
116// static inline void cholesky(const gene_matrix & X, gene_matrix & C, int N){
117// C = X;
118// recursive_cholesky(C);
119// }
120
121// static inline void lu_decomp(const gene_matrix & X, gene_matrix & R, int N){
122// R = X;
123// std::vector<int> ipvt(N);
124// lu_factor(R, ipvt);
125// }
126
127// static inline void trisolve_lower(const gene_matrix & L, const gene_vector& B, gene_vector & X, int N){
128// X = lower_trisolve(L, B);
129// }
130
131 static inline void copy_matrix(const gene_matrix & source, gene_matrix & cible, int N){
132 cible = source;
133 }
134
135 static inline void copy_vector(const gene_vector & source, gene_vector & cible, int N){
136 cible = source;
137 }
138
139};
140
141#endif