eigen/bench/btl/libs/tensors/tensor_interface.hh
2014-10-17 09:49:03 -07:00

106 lines
3.1 KiB
C++

//=====================================================
// 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