summaryrefslogtreecommitdiffhomepage
path: root/eigen/bench/btl/libs/blaze/blaze_interface.hh
blob: 7b418f6da067b1d15c0d77cdfa90f057c0f3976b (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
//=====================================================
// 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 BLAZE_INTERFACE_HH
#define BLAZE_INTERFACE_HH

#include <blaze/Math.h>
#include <blaze/Blaze.h>
#include <Eigen/Core>
// using namespace blaze;

#include <vector>

template<class real>
class blaze_interface {

public :

  typedef real real_type ;

  typedef std::vector<real>        stl_vector;
  typedef std::vector<stl_vector > stl_matrix;

  typedef blaze::DynamicMatrix<real,blaze::columnMajor>  gene_matrix;
  typedef blaze::DynamicVector<real>  gene_vector;

  static inline std::string name() { return "blaze"; }

  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.resize(B_stl.size());
    for (int i=0; i<B_stl.size() ; i++){
      B[i] = B_stl[i];
    }
  }

  static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){
    for (int i=0; i<B_stl.size() ; i++){
      B_stl[i] = B[i];
    }
  }

  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 EIGEN_DONT_INLINE void matrix_matrix_product(const gene_matrix & A, const gene_matrix & B, gene_matrix & X, int N){
    X = (A*B);
  }

  static EIGEN_DONT_INLINE void transposed_matrix_matrix_product(const gene_matrix & A, const gene_matrix & B, gene_matrix & X, int N){
    X = (trans(A)*trans(B));
  }

  static EIGEN_DONT_INLINE void ata_product(const gene_matrix & A, gene_matrix & X, int N){
    X = (trans(A)*A);
  }

  static EIGEN_DONT_INLINE void aat_product(const gene_matrix & A, gene_matrix & X, int N){
    X = (A*trans(A));
  }

  static EIGEN_DONT_INLINE void matrix_vector_product(gene_matrix & A, gene_vector & B, gene_vector & X, int N){
    X = (A*B);
  }

  static EIGEN_DONT_INLINE void atv_product(gene_matrix & A, gene_vector & B, gene_vector & X, int N){
    X = (trans(A)*B);
  }

  static EIGEN_DONT_INLINE void axpy(const real coef, const gene_vector & X, gene_vector & Y, int N){
    Y += coef * X;
  }

  static EIGEN_DONT_INLINE void axpby(real a, const gene_vector & X, real b, gene_vector & Y, int N){
    Y = a*X + b*Y;
  }

//   static inline void cholesky(const gene_matrix & X, gene_matrix & C, int N){
//     C = X;
//     recursive_cholesky(C);
//   }

//   static inline void lu_decomp(const gene_matrix & X, gene_matrix & R, int N){
//     R = X;
//     std::vector<int> ipvt(N);
//     lu_factor(R, ipvt);
//   }

//   static inline void trisolve_lower(const gene_matrix & L, const gene_vector& B, gene_vector & X, int N){
//     X = lower_trisolve(L, B);
//   }

  static inline void copy_matrix(const gene_matrix & source, gene_matrix & cible, int N){
    cible = source;
  }

  static inline void copy_vector(const gene_vector & source, gene_vector & cible, int N){
    cible = source;
  }

};

#endif