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Tensor class initial commit

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Jiri Pittner 2024-03-21 23:24:21 +01:00
parent 46ac5380eb
commit 3f442212e0
4 changed files with 136 additions and 2 deletions
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4
Makefile.am
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@ -1,6 +1,6 @@
lib_LTLIBRARIES = libla.la
include_HEADERS = version.h miscfunc.h simple.h vecmat3.h quaternion.h fortran.h cuda_la.h auxstorage.h davidson.h laerror.h mat.h qsort.h vec.h bisection.h diis.h la.h noncblas.h smat.h numbers.h bitvector.h fourindex.h la_traits.h la_random.h nonclass.h sparsemat.h sparsesmat.h csrmat.h conjgrad.h gmres.h matexp.h permutation.h polynomial.h contfrac.h graph.h reg.h regsurf.h
libla_la_SOURCES = simple.cc miscfunc.cc quaternion.cc vecmat3.cc vec.cc mat.cc smat.cc sparsemat.cc sparsesmat.cc csrmat.cc laerror.cc noncblas.cc numbers.cc bitvector.cc strassen.cc nonclass.cc cuda_la.cc fourindex.cc permutation.cc polynomial.cc contfrac.cc graph.cc la_random.cc reg.cc regsurf.cc
include_HEADERS = version.h tensor.h miscfunc.h simple.h vecmat3.h quaternion.h fortran.h cuda_la.h auxstorage.h davidson.h laerror.h mat.h qsort.h vec.h bisection.h diis.h la.h noncblas.h smat.h numbers.h bitvector.h fourindex.h la_traits.h la_random.h nonclass.h sparsemat.h sparsesmat.h csrmat.h conjgrad.h gmres.h matexp.h permutation.h polynomial.h contfrac.h graph.h reg.h regsurf.h
libla_la_SOURCES = simple.cc tensor.cc miscfunc.cc quaternion.cc vecmat3.cc vec.cc mat.cc smat.cc sparsemat.cc sparsesmat.cc csrmat.cc laerror.cc noncblas.cc numbers.cc bitvector.cc strassen.cc nonclass.cc cuda_la.cc fourindex.cc permutation.cc polynomial.cc contfrac.cc graph.cc la_random.cc reg.cc regsurf.cc
nodist_libla_la_SOURCES = version.cc
check_PROGRAMS = t test tX test_reg test_regsurf
t_SOURCES = t.cc t2.cc

1
la.h
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@ -45,6 +45,7 @@
#include "vec.h"
#include "polynomial.h"
#include "contfrac.h"
#include "tensor.h"
#include "version.h"
using namespace LA;

30
tensor.cc Normal file
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/*
LA: linear algebra C++ interface library
Copyright (C) 2024 Jiri Pittner <jiri.pittner@jh-inst.cas.cz> or <jiri@pittnerovi.com>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "tensor.h"
#include "laerror.h"
#include <iostream>
namespace LA {
}//namespace

103
tensor.h Normal file
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/*
LA: linear algebra C++ interface library
Copyright (C) 2024 Jiri Pittner <jiri.pittner@jh-inst.cas.cz> or <jiri@pittnerovi.com>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
//a simple tensor class with arbitrary summetry 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
//to uint64_t in the future in vector and matrix classes
#ifndef _TENSOR_H
#define _TENSOR_H
#include <stdint.h>
#include "vec.h"
#include "miscfunc.h"
namespace LA {
typedef int LA_index;
typedef int LA_largeindex;
typedef class indexgroup {
int number; //number of indices
int symmetry; //-1 0 or 1
LA_index offset; //indices start at
LA_index size; //indices span this range
} INDEXGROUP;
template<typename T>
class Tensor {
NRVec<indexgroup> shape;
NRVec<T> data;
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
};
template<typename T>
int Tensor<T>:: rank() const
{
int r=0;
for(int i=0; i<shape.size(); ++i)
{
if(shape[i].number==0) laerror("empty index group");
r+=shape[i].number;
}
return r;
}
template<typename T>
LA_largeindex Tensor<T>::size() const
{
LA_largeindex s=1;
for(int i=0; i<shape.size(); ++i)
{
if(shape[i].number==0) laerror("empty index group");
if(shape[i].size==0) return 0;
switch(shape[i].symmetry)
{
case 0:
s *= longpow(shape[i].size,shape[i].number);
break;
case 1:
s *= binom(shape[i].size+shape[i].number-1,shape[i].number);
break;
case -1:
s *= binom(shape[i].size,shape[i].number);
break;
default:
laerror("illegal index group symmetry");
break;
}
}
return s;
}
}//namespace
#endif