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