| //===================================================== |
| // Copyright (C) 2014 Benoit Steiner <benoit.steiner.goog@gmail.com> |
| //===================================================== |
| // |
| // This Source Code Form is subject to the terms of the Mozilla |
| // Public License v. 2.0. If a copy of the MPL was not distributed |
| // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. |
| // |
| #ifndef TENSOR_INTERFACE_HH |
| #define TENSOR_INTERFACE_HH |
| |
| #include <unsupported/Eigen/CXX11/Tensor> |
| #include <vector> |
| #include "btl.hh" |
| |
| using namespace Eigen; |
| |
| template<class real> |
| class tensor_interface |
| { |
| public : |
| typedef real real_type; |
| typedef typename Eigen::Tensor<real,2>::Index Index; |
| |
| typedef std::vector<real> stl_vector; |
| typedef std::vector<stl_vector> stl_matrix; |
| |
| typedef Eigen::Tensor<real,2> gene_matrix; |
| typedef Eigen::Tensor<real,1> gene_vector; |
| |
| |
| static inline std::string name( void ) |
| { |
| return EIGEN_MAKESTRING(BTL_PREFIX); |
| } |
| |
| static void free_matrix(gene_matrix & /*A*/, int /*N*/) {} |
| |
| static void free_vector(gene_vector & /*B*/) {} |
| |
| static BTL_DONT_INLINE void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){ |
| A.resize(Eigen::array<Index,2>(A_stl[0].size(), A_stl.size())); |
| |
| for (unsigned int j=0; j<A_stl.size() ; j++){ |
| for (unsigned int i=0; i<A_stl[j].size() ; i++){ |
| A.coeffRef(Eigen::array<Index,2>(i,j)) = A_stl[j][i]; |
| } |
| } |
| } |
| |
| static BTL_DONT_INLINE void vector_from_stl(gene_vector & B, stl_vector & B_stl){ |
| B.resize(B_stl.size()); |
| |
| for (unsigned int i=0; i<B_stl.size() ; i++){ |
| B.coeffRef(i) = B_stl[i]; |
| } |
| } |
| |
| static BTL_DONT_INLINE void vector_to_stl(gene_vector & B, stl_vector & B_stl){ |
| for (unsigned int i=0; i<B_stl.size() ; i++){ |
| B_stl[i] = B.coeff(i); |
| } |
| } |
| |
| static BTL_DONT_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.coeff(Eigen::array<Index,2>(i,j)); |
| } |
| } |
| } |
| |
| static inline void matrix_matrix_product(const gene_matrix & A, const gene_matrix & B, gene_matrix & X, int /*N*/){ |
| typedef typename Eigen::Tensor<real_type, 1>::DimensionPair DimPair; |
| const Eigen::array<DimPair, 1> dims(DimPair(1, 0)); |
| X/*.noalias()*/ = A.contract(B, dims); |
| } |
| |
| static inline void matrix_vector_product(const gene_matrix & A, const gene_vector & B, gene_vector & X, int /*N*/){ |
| typedef typename Eigen::Tensor<real_type, 1>::DimensionPair DimPair; |
| const Eigen::array<DimPair, 1> dims(DimPair(1, 0)); |
| X/*.noalias()*/ = A.contract(B, dims); |
| } |
| |
| static inline void axpy(real coef, const gene_vector & X, gene_vector & Y, int /*N*/){ |
| Y += X.constant(coef) * X; |
| } |
| |
| static inline void axpby(real a, const gene_vector & X, real b, gene_vector & Y, int /*N*/){ |
| Y = X.constant(a)*X + Y.constant(b)*Y; |
| } |
| |
| static EIGEN_DONT_INLINE void copy_matrix(const gene_matrix & source, gene_matrix & cible, int /*N*/){ |
| cible = source; |
| } |
| |
| static EIGEN_DONT_INLINE void copy_vector(const gene_vector & source, gene_vector & cible, int /*N*/){ |
| cible = source; |
| } |
| }; |
| |
| #endif |