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Tensor.h
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Tensor.h
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#ifndef TENSOR_H
#define TENSOR_H
#include <armadillo>
#include <vector>
#include <string>
#include "setting.h"
namespace TNSCat{
class Tensor{
public:
Tensor();
Tensor(const Tensor&);
Tensor(arma::uvec size, arma::uword rank);
~Tensor();
// Random tensor
void randu(const arma::uvec& sizei);
void randu(const std::vector<arma::uword>& sizei);
void randn(const std::vector<arma::uword>& sizei);
// zeros
void zeros();
// MPO--Heisenberg model
void edge_i_mpo();
void edge_f_mpo();
void mpo();
void sp();
void sm();
void sz();
//------------------------------------------
// IO
//-----------------------------------------
void print(std::string)const;
void print()const;
//-------------------------------------------
// Tensor operations
//-------------------------------------------
void reset(const std::vector<arma::uword>& sizei);
void reset(const arma::mat& datai, const arma::uvec& sizei);
void reset(const arma::mat& datai, const std::vector<arma::uword>& sizei);
void reset(const arma::mat& datai);
void sum_ind(arma::uword i_ind);
Tensor& operator+=(const Tensor&);
Tensor& operator=(const Tensor&);
void reshape(const arma::uvec& new_size);
void reshape(const std::vector<arma::uword>& new_size);
void tensor_reshape(const std::vector<arma::uvec>& new_inds, const arma::uword* full_oldind, const arma::uword* full_newind);
void permute(const std::vector<arma::uword>& permutation);
void permute(const arma::uword* permutation);
void tensor_permute(const arma::uword* oldorder, const arma::uword* neworder);
Tensor& tensor_product(const std::vector<arma::uword>& final_order, const arma::uword& num_con_inds, const Tensor& T1_,
const std::vector<arma::uword>& order1, const std::vector<arma::uword>& forder1, const Tensor& T2_,
const std::vector<arma::uword>& order2, const std::vector<arma::uword>& forder2);
Tensor& tensor_product(const arma::uword& num_con_inds, const Tensor& T1_,
const std::vector<arma::uword>& order1, const std::vector<arma::uword>& forder1, const Tensor& T2_,
const std::vector<arma::uword>& order2, const std::vector<arma::uword>& forder2);
Tensor& tensor_product(const arma::uword* final_order, const arma::uword& num_con_inds, const Tensor& T1_,
const arma::uword* order1, const arma::uword* forder1, const Tensor& T2_, const arma::uword* order2, const arma::uword* forder2);
Tensor& tensor_product(const arma::uword& num_con_inds, const Tensor& T1_, const arma::uword* order1,
const arma::uword* forder1, const Tensor& T2_, const arma::uword* order2, const arma::uword* forder2);
Tensor& double_tensor(const Tensor& T1, const Tensor& T2);
Tensor& double_tensor(const Tensor& T1, const Tensor& o, const Tensor& T2);
Tensor& tri_tensor(const Tensor& T1, const Tensor& o, const std::vector<arma::uword>& oinds, const Tensor& T2);
Tensor& bi_par(bool& if_mpo, const arma::uvec& size0);
//-----------------------------------------
// Friend/Standalone functions
//-----------------------------------------
friend double dot(const Tensor& T1, const Tensor& T2);
friend double delta(const Tensor& T1, const Tensor& T2);
//-----------------------------------------
// Tensor element access
//-----------------------------------------
double& operator()(const std::vector<arma::uword>& inds);
double& operator()(arma::uword iele);
double& at(const arma::uvec& inds);
double& at(const std::vector<arma::uword>& inds);
double& at(const arma::uword *inds);
double& at(arma::uword iele);
const double& c_at(const arma::uvec& inds)const;
const double& c_at(const std::vector<arma::uword>& inds)const;
const double& c_at(const arma::uword *inds)const;
const double& c_at(arma::uword iele)const;
const arma::mat& c_data()const;
arma::mat& data();
const arma::uvec& size()const;
arma::uword size(arma::uword i_ind)const;
double max_abs()const;
//------------------------------------------------
// Attributes:
//-----------------------------------------------
const arma::uword ndims = 0;
const arma::uword n_elem = 0;
arma::uvec accu_size_;
private:
// Attributes:
arma::mat ele_;
arma::uvec size_;
void set_accusize();
};
double dot(const Tensor& T1, const Tensor& T2);
}
#endif