Austin Schuh | 189376f | 2018-12-20 22:11:15 +1100 | [diff] [blame^] | 1 | //===================================================== |
| 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> |
| 23 | // using namespace blaze; |
| 24 | |
| 25 | #include <vector> |
| 26 | |
| 27 | template<class real> |
| 28 | class blaze_interface { |
| 29 | |
| 30 | public : |
| 31 | |
| 32 | typedef real real_type ; |
| 33 | |
| 34 | typedef std::vector<real> stl_vector; |
| 35 | typedef std::vector<stl_vector > stl_matrix; |
| 36 | |
| 37 | typedef blaze::DynamicMatrix<real,blaze::columnMajor> gene_matrix; |
| 38 | typedef blaze::DynamicVector<real> gene_vector; |
| 39 | |
| 40 | static inline std::string name() { return "blaze"; } |
| 41 | |
| 42 | static void free_matrix(gene_matrix & A, int N){ |
| 43 | return ; |
| 44 | } |
| 45 | |
| 46 | static void free_vector(gene_vector & B){ |
| 47 | return ; |
| 48 | } |
| 49 | |
| 50 | static inline void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){ |
| 51 | A.resize(A_stl[0].size(), A_stl.size()); |
| 52 | |
| 53 | for (int j=0; j<A_stl.size() ; j++){ |
| 54 | for (int i=0; i<A_stl[j].size() ; i++){ |
| 55 | A(i,j) = A_stl[j][i]; |
| 56 | } |
| 57 | } |
| 58 | } |
| 59 | |
| 60 | static inline void vector_from_stl(gene_vector & B, stl_vector & B_stl){ |
| 61 | B.resize(B_stl.size()); |
| 62 | for (int i=0; i<B_stl.size() ; i++){ |
| 63 | B[i] = B_stl[i]; |
| 64 | } |
| 65 | } |
| 66 | |
| 67 | static inline void vector_to_stl(gene_vector & B, stl_vector & B_stl){ |
| 68 | for (int i=0; i<B_stl.size() ; i++){ |
| 69 | B_stl[i] = B[i]; |
| 70 | } |
| 71 | } |
| 72 | |
| 73 | static inline void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){ |
| 74 | int N=A_stl.size(); |
| 75 | for (int j=0;j<N;j++){ |
| 76 | A_stl[j].resize(N); |
| 77 | for (int i=0;i<N;i++){ |
| 78 | A_stl[j][i] = A(i,j); |
| 79 | } |
| 80 | } |
| 81 | } |
| 82 | |
| 83 | static inline void matrix_matrix_product(const gene_matrix & A, const gene_matrix & B, gene_matrix & X, int N){ |
| 84 | X = (A*B); |
| 85 | } |
| 86 | |
| 87 | static inline void transposed_matrix_matrix_product(const gene_matrix & A, const gene_matrix & B, gene_matrix & X, int N){ |
| 88 | X = (trans(A)*trans(B)); |
| 89 | } |
| 90 | |
| 91 | static inline void ata_product(const gene_matrix & A, gene_matrix & X, int N){ |
| 92 | X = (trans(A)*A); |
| 93 | } |
| 94 | |
| 95 | static inline void aat_product(const gene_matrix & A, gene_matrix & X, int N){ |
| 96 | X = (A*trans(A)); |
| 97 | } |
| 98 | |
| 99 | static inline void matrix_vector_product(gene_matrix & A, gene_vector & B, gene_vector & X, int N){ |
| 100 | X = (A*B); |
| 101 | } |
| 102 | |
| 103 | static inline void atv_product(gene_matrix & A, gene_vector & B, gene_vector & X, int N){ |
| 104 | X = (trans(A)*B); |
| 105 | } |
| 106 | |
| 107 | static inline void axpy(const real coef, const gene_vector & X, gene_vector & Y, int N){ |
| 108 | Y += coef * X; |
| 109 | } |
| 110 | |
| 111 | static inline void axpby(real a, const gene_vector & X, real b, gene_vector & Y, int N){ |
| 112 | Y = a*X + b*Y; |
| 113 | } |
| 114 | |
| 115 | // static inline void cholesky(const gene_matrix & X, gene_matrix & C, int N){ |
| 116 | // C = X; |
| 117 | // recursive_cholesky(C); |
| 118 | // } |
| 119 | |
| 120 | // static inline void lu_decomp(const gene_matrix & X, gene_matrix & R, int N){ |
| 121 | // R = X; |
| 122 | // std::vector<int> ipvt(N); |
| 123 | // lu_factor(R, ipvt); |
| 124 | // } |
| 125 | |
| 126 | // static inline void trisolve_lower(const gene_matrix & L, const gene_vector& B, gene_vector & X, int N){ |
| 127 | // X = lower_trisolve(L, B); |
| 128 | // } |
| 129 | |
| 130 | static inline void copy_matrix(const gene_matrix & source, gene_matrix & cible, int N){ |
| 131 | cible = source; |
| 132 | } |
| 133 | |
| 134 | static inline void copy_vector(const gene_vector & source, gene_vector & cible, int N){ |
| 135 | cible = source; |
| 136 | } |
| 137 | |
| 138 | }; |
| 139 | |
| 140 | #endif |