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working on tensor

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This commit is contained in:
Jiri Pittner 2024-03-26 17:49:09 +01:00
parent 3f442212e0
commit 8fa7194f2d
2 changed files with 47 additions and 2 deletions
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23
tensor.cc
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@ -23,6 +23,29 @@
namespace LA {
template<typename T>
LA_largeindex Tensor<T>::index(const SUPERINDEX &I)
{
//check index structure and ranges
#ifndef DEBUG
if(I.size()!=shape.size()) laerror("mismatch in the number of tensor index groups");
for(int i=0; i<I.size; ++i)
{
if(shape[i].number!=I[i].size()) {std::cerr<<"error in index group no. "<<i<<std::endl; laerror("mismatch in the size of tensor index group");}
for(int j=0; j<shape[i].number; ++j)
{
if(I[i][j] <shape[i].offset || I[i][j] >= shape[i].offset+shape[i].size())
{
std::cerr<<"error in index group no. "<<i<<" index no. "<<j<<std::endl;
laerror("tensor index out of range");
}
}
}
#endif
//@@@@@@@@@
}

26
tensor.h
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@ -17,7 +17,7 @@
*/
//a simple tensor class with arbitrary summetry of index subgroups
//a simple tensor class with arbitrary symmetry of index subgroups
//stored in an efficient way
//presently only a rudimentary implementation
//presently limited to 2G data size due to NRVec - maybe use a typedef LA_index
@ -28,6 +28,7 @@
#define _TENSOR_H
#include <stdint.h>
#include <cstdarg>
#include "vec.h"
#include "miscfunc.h"
@ -44,20 +45,41 @@ LA_index offset; //indices start at
LA_index size; //indices span this range
} INDEXGROUP;
typedef NRVec<LA_index> FLATINDEX; //all indices but in a single vector
typedef NRVec<NRVec<LA_index> > SUPERINDEX; //all indices in the INDEXGROUP structure
template<typename T>
class Tensor {
NRVec<indexgroup> shape;
NRVec<T> data;
private:
LA_largeindex index(const SUPERINDEX &I); //map the tensor indices to the position in data
LA_largeindex index(const FLATINDEX &I); //map the tensor indices to the position in data
LA_largeindex vindex(int i1,va_list args); //map list of indices to the position in data @@@must call va_end
public:
Tensor() {};
Tensor(const NRVec<indexgroup> &s) : shape(s), data((int)size()) {data.clear();};
int rank() const; //is computed from shape
LA_largeindex size() const; //expensive, is computed from shape
void copyonwrite() {shape.copyonwrite(); data.copyonwrite();};
//@@@operator() lhs and rhs both via vararg a via superindex of flat and nested types, get/put to file, stream i/o
inline T& operator()(const SUPERINDEX &I) {return data[index(I)];};
inline const T& operator()(const SUPERINDEX &I) const {return data[index(I)];};
inline T& operator()(const FLATINDEX &I) {return data[index(I)];};
inline const T& operator()(const FLATINDEX &I) const {return data[index(I)];};
inline T& operator()(int i1...) {va_list args; va_start(args,i1); return data[vindex(i1,args)];};
inline const T& operator()(int i1...) const {va_list args; va_start(args,i1); return data[vindex(i1,args)];};
//@@@TODO - unwinding to full size in a specified index
//@@@TODO - contractions - basic and efficient
//@@@TODO get/put to file, stream i/o
};
template<typename T>
int Tensor<T>:: rank() const
{