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LA_library/la_traits.h

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/*
LA: linear algebra C++ interface library
Copyright (C) 2008 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/>.
*/
//
//for autotools
//
//#include "config.h" //this would force the user of the library to have config.h
////////////////////////////////////////////////////////////////////////////
//LA traits classes and generally needed includes
#ifndef _LA_TRAITS_INCL
#define _LA_TRAITS_INCL
//avoid unsupported register directive in new C++ versions
#if __cplusplus > 201402L
#define register
#endif
#include <stdio.h>
#include <string.h>
#include <iostream>
#include <fstream>
#include <limits>
#include <complex>
#include <unistd.h>
//using namespace std;
#include "laerror.h"
#include "la_random.h"
#include "cuda_la.h"
#ifdef NONCBLAS
#include "noncblas.h"
#else
extern "C" {
#ifdef HAS_MKL
#include "mkl_cblas.h"
#else
#include "cblas.h"
#endif
}
#endif
#ifdef NONCLAPACK
#include "noncblas.h"
#else
extern "C" {
#include "clapack.h"
}
#endif
//forward declarations
namespace LA_Vecmat3 {
template<typename C> class Vec3;
template<typename C> class Mat3;
}
namespace LA {
//forward declarations
template<typename C> class NRVec;
template<typename C> class NRVec_from1;
template<typename C> class NRMat;
template<typename C> class NRMat_from1;
template<typename C> class NRSMat;
template<typename C> class NRSMat_from1;
template<typename C> class SparseMat;
template<typename C> class SparseSMat;
template<typename C> class CSRMat;
template<typename C> class NRPerm;
template<typename C> class CyclePerm;
template<typename C> class Partition;
template<typename C> class CompressedPartition;
//trick to allow real and imag part of complex as l-values
template<typename T>
T &real(std::complex<T> &c) {
return reinterpret_cast<T*>(&c)[0];
}
template<typename T>
T &imag(std::complex<T> &c) {
return reinterpret_cast<T*>(&c)[1];
}
//
typedef class {} Dummy_type;
typedef class {} Dummy_type2;
//for components of complex numbers
//
template<typename C>
struct LA_traits_complex
{
typedef Dummy_type Component_type;
typedef Dummy_type NRVec_Noncomplex_type;
typedef Dummy_type NRMat_Noncomplex_type;
typedef Dummy_type2 NRSMat_Noncomplex_type;
};
#define SPECIALIZE_COMPLEX(T) \
template<> \
struct LA_traits_complex<std::complex<T> > \
{ \
typedef T Component_type; \
typedef NRVec<T> NRVec_Noncomplex_type; \
typedef NRMat<T> NRMat_Noncomplex_type; \
typedef NRSMat<T> NRSMat_Noncomplex_type; \
};
SPECIALIZE_COMPLEX(double)
SPECIALIZE_COMPLEX(std::complex<double>)
SPECIALIZE_COMPLEX(float)
SPECIALIZE_COMPLEX(std::complex<float>)
SPECIALIZE_COMPLEX(char)
SPECIALIZE_COMPLEX(unsigned char)
SPECIALIZE_COMPLEX(short)
SPECIALIZE_COMPLEX(unsigned short)
SPECIALIZE_COMPLEX(int)
SPECIALIZE_COMPLEX(unsigned int)
SPECIALIZE_COMPLEX(long)
SPECIALIZE_COMPLEX(unsigned long)
SPECIALIZE_COMPLEX(long long)
SPECIALIZE_COMPLEX(unsigned long long)
//for general sortable classes
template<typename T, typename I, int type> struct LA_sort_traits;
template<typename T, typename I>
struct LA_sort_traits<T,I,0>
{
static inline bool compare(const T &object, I i, I j) {return object.bigger(i,j);};
static inline bool comparestable(const T &object, I i, I j, I *auxkey)
{
bool r= object.bigger(i,j);
if(!r && object[i]==object[j]) r= auxkey[i]>auxkey[j];
return r;
};
};
template<typename T, typename I>
struct LA_sort_traits<T,I,1>
{
static inline bool compare(const T &object, I i, I j) {return object.smaller(i,j);};
static inline bool comparestable(const T &object, I i, I j, I *auxkey)
{
bool r= object.smaller(i,j);
if(!r && object[i]==object[j]) r= auxkey[i]<auxkey[j];
return r;
};
};
//we will need to treat char and unsigned char as numbers in << and >> I/O operators
template<typename C>
struct LA_traits_io
{
typedef C IOtype;
};
template<>
struct LA_traits_io<char>
{
typedef int IOtype;
};
template<>
struct LA_traits_io<unsigned char>
{
typedef unsigned int IOtype;
};
//let's do some simple template metaprogramming and preprocessing
//to keep the thing general and compact
class scalar_false {};
class scalar_true {};
//default is non-scalar
template<typename C>
class isscalar { public: typedef scalar_false scalar_type;};
//specializations
#define SCALAR(X) \
template<>\
class isscalar<X> {public: typedef scalar_true scalar_type;};\
template<>\
class isscalar<std::complex<X> > {public: typedef scalar_true scalar_type;};\
template<>\
class isscalar<std::complex<std::complex<X> > > {public: typedef scalar_true scalar_type;};\
//declare what is scalar
SCALAR(bool)
SCALAR(char)
SCALAR(short)
SCALAR(int)
SCALAR(long)
SCALAR(long long)
SCALAR(unsigned char)
SCALAR(unsigned short)
SCALAR(unsigned int)
SCALAR(unsigned long)
SCALAR(unsigned long long)
SCALAR(float)
SCALAR(double)
SCALAR(void *)
//#undef SCALAR
//declare this generically as traits for any unknown class
template<typename C, typename Scalar> struct LA_traits_aux
{
typedef Dummy_type normtype;
};
//TRAITS SPECIALIZATIONS
////now declare the traits for scalars and for composed classes
////NOTE! methods in traits classes have to be declared static,
////since the class itself is never instantiated.
////for performance, it can be also inlined at the same time
//
//complex scalars
template<typename C>
struct LA_traits_aux<std::complex<C>, scalar_true> {
typedef std::complex<C> elementtype;
typedef std::complex<C> producttype;
typedef C normtype;
typedef C realtype;
typedef std::complex<C> complextype;
static inline C sqrabs(const std::complex<C> x) { return x.real()*x.real()+x.imag()*x.imag();}
static inline bool gencmp(const std::complex<C> *x, const std::complex<C> *y, size_t n) {return memcmp(x,y,n*sizeof(std::complex<C>));}
static bool bigger(const std::complex<C> &x, const std::complex<C> &y) {laerror("std::complex comparison undefined"); return false;}
static bool smaller(const std::complex<C> &x, const std::complex<C> &y) {laerror("std::complex comparison undefined"); return false;}
static inline normtype norm (const std::complex<C> &x) {return std::abs(x);}
static inline normtype abs2(const std::complex<C> &x) {return std::abs(x.real())+std::abs(x.imag());} //faster without sqrt
static inline void axpy (std::complex<C> &s, const std::complex<C> &x, const std::complex<C> &c) {s+=x*c;}
static inline void get(int fd, std::complex<C> &x, bool dimensions=0, bool transp=0) {if(sizeof(std::complex<C>)!=read(fd,&x,sizeof(std::complex<C>))) laerror("read error");}
static inline void put(int fd, const std::complex<C> &x, bool dimensions=0, bool transp=0) {if(sizeof(std::complex<C>)!=write(fd,&x,sizeof(std::complex<C>))) laerror("write error");}
static void multiget(size_t n,int fd, std::complex<C> *x, bool dimensions=0)
{
size_t total=0;
size_t system_limit = (1L<<30)/sizeof(std::complex<C>); //do not expect too much from the system and read at most 1GB at once
ssize_t r;
size_t nn;
do{
r=read(fd,x+total,nn=(n-total > system_limit ? system_limit : n-total)*sizeof(std::complex<C>));
if(r<0 || r==0 && nn!=0 ) {std::cout<<"read returned "<<r<<" perror "<<strerror(errno) <<std::endl; laerror("read error");}
else total += r/sizeof(std::complex<C>);
if(r%sizeof(std::complex<C>)) laerror("read error 2");
}
while(total < n);
}
static void multiput(size_t n, int fd, const std::complex<C> *x, bool dimensions=0)
{
size_t total=0;
size_t system_limit = (1L<<30)/sizeof(std::complex<C>); //do not expect too much from the system and write at most 1GB at once
ssize_t r;
size_t nn;
do{
r=write(fd,x+total,nn=(n-total > system_limit ? system_limit : n-total)*sizeof(std::complex<C>));
if(r<0 || r==0 && nn!=0 ) {std::cout<<"write returned "<<r<<" perror "<<strerror(errno) <<std::endl; laerror("write error");}
else total += r/sizeof(std::complex<C>);
if(r%sizeof(std::complex<C>)) laerror("write error 2");
}
while(total < n);
}
static void copy(std::complex<C> *dest, std::complex<C> *src, size_t n) {memcpy(dest,src,n*sizeof(std::complex<C>));}
static void clear(std::complex<C> *dest, size_t n) {memset(dest,0,n*sizeof(std::complex<C>));}
static void copyonwrite(std::complex<C> &x) {};
static bool is_plaindata() {return true;}
static void clearme(std::complex<C> &x) {x=0;};
static void deallocate(std::complex<C> &x) {};
static inline std::complex<C> conjugate(const std::complex<C> &x) {return std::complex<C>(x.real(),-x.imag());};
static inline C realpart(const std::complex<C> &x) {return x.real();}
static inline C imagpart(const std::complex<C> &x) {return x.imag();}
};
//non-complex scalars
template<typename C>
struct LA_traits_aux<C, scalar_true> {
typedef C elementtype;
typedef C producttype;
typedef C normtype;
typedef C realtype;
typedef std::complex<C> complextype;
static inline C sqrabs(const C x) { return x*x;}
static inline bool gencmp(const C *x, const C *y, size_t n) {return memcmp(x,y,n*sizeof(C));}
static inline bool bigger(const C &x, const C &y) {return x>y;}
static inline bool smaller(const C &x, const C &y) {return x<y;}
static inline normtype norm (const C &x) {return std::abs(x);}
static inline normtype abs2 (const C &x) {return std::abs(x);}
static inline void axpy (C &s, const C &x, const C &c) {s+=x*c;}
static inline void put(int fd, const C &x, bool dimensions=0, bool transp=0) {if(sizeof(C)!=write(fd,&x,sizeof(C))) laerror("write error");}
static inline void get(int fd, C &x, bool dimensions=0, bool transp=0) {if(sizeof(C)!=read(fd,&x,sizeof(C))) laerror("read error");}
static void multiget(size_t n,int fd, C *x, bool dimensions=0)
{
size_t total=0;
size_t system_limit = (1L<<30)/sizeof(C); //do not expect too much from the system and read at most 1GB at once
ssize_t r;
size_t nn;
do{
r=read(fd,x+total,nn=(n-total > system_limit ? system_limit : n-total)*sizeof(C));
if(r<0 || r==0 && nn!=0 ) {std::cout<<"read returned "<<r<<" perror "<<strerror(errno) <<std::endl; laerror("read error");}
else total += r/sizeof(C);
if(r%sizeof(C)) laerror("read error 2");
}
while(total < n);
}
static void multiput(size_t n, int fd, const C *x, bool dimensions=0)
{
size_t total=0;
size_t system_limit = (1L<<30)/sizeof(C); //do not expect too much from the system and write at most 1GB at once
ssize_t r;
size_t nn;
do{
r=write(fd,x+total,nn=(n-total > system_limit ? system_limit : n-total)*sizeof(C));
if(r<0 || r==0 && nn!=0 ) {std::cout<<"write returned "<<r<<" perror "<<strerror(errno) <<std::endl; laerror("write error");}
else total += r/sizeof(C);
if(r%sizeof(C)) laerror("write error 2");
}
while(total < n);
}
static void copy(C *dest, C *src, size_t n) {memcpy(dest,src,n*sizeof(C));}
static void clear(C *dest, size_t n) {memset(dest,0,n*sizeof(C));}
static void copyonwrite(C &x) {};
static bool is_plaindata() {return true;}
static void clearme(C &x) {x=0;};
static void deallocate(C &x) {};
static inline C conjugate(const C &x) {return x;};
static inline C realpart(const C &x) {return x;}
static inline C imagpart(const C &x) {return 0;}
};
//non-scalars except smat
template<typename C>
struct LA_traits; //forward declaration needed for template recursion
#define generate_traits_nonscalar(X) \
template<typename C> \
struct LA_traits_aux<X<C>, scalar_false> { \
typedef C elementtype; \
typedef X<C> producttype; \
typedef C PAIRTYPE[2]; \
typedef C QUADRUPLETYPE[4]; \
typedef X<C> SUBMATRIXTYPE; \
typedef typename LA_traits<C>::normtype normtype; \
typedef X<typename LA_traits<C>::realtype> realtype; \
typedef X<typename LA_traits<C>::complextype> complextype; \
static bool gencmp(const X<C> *x, const X<C> *y, size_t n) {for(size_t i=0; i<n; ++i) if(x[i]!=y[i]) return true; return false;} \
static inline bool bigger(const X<C> &x, const X<C> &y) {return x>y;} \
static inline bool smaller(const X<C> &x, const X<C> &y) {return x<y;} \
static inline normtype norm (const X<C> &x) {return x.norm();} \
static inline void axpy (X<C>&s, const X<C> &x, const C c) {s.axpy(c,x);} \
static void put(int fd, const X<C> &x, bool dimensions=1, bool transp=0) {x.put(fd,dimensions,transp);} \
static void get(int fd, X<C> &x, bool dimensions=1, bool transp=0) {x.get(fd,dimensions,transp);} \
static void multiput(size_t n,int fd, const X<C> *x, bool dimensions=1) {for(size_t i=0; i<n; ++i) x[i].put(fd,dimensions);} \
static void multiget(size_t n,int fd, X<C> *x, bool dimensions=1) {for(size_t i=0; i<n; ++i) x[i].get(fd,dimensions);} \
static void copy(X<C> *dest, X<C> *src, size_t n) {for(size_t i=0; i<n; ++i) dest[i]=src[i];} \
static void clear(X<C> *dest, size_t n) {for(size_t i=0; i<n; ++i) dest[i].clear();}\
static void copyonwrite(X<C> &x) {x.copyonwrite();}\
static bool is_plaindata() {return false;}\
static void clearme(X<C> &x) {x.clear();}\
static void deallocate(X<C> &x) {x.dealloc();}\
};
//non-scalar types defined in this library
generate_traits_nonscalar(NRMat)
generate_traits_nonscalar(NRMat_from1)
generate_traits_nonscalar(NRVec)
generate_traits_nonscalar(NRVec_from1)
generate_traits_nonscalar(SparseMat)
generate_traits_nonscalar(SparseSMat) //product leading to non-symmetric result not implemented
generate_traits_nonscalar(CSRMat)
generate_traits_nonscalar(NRPerm)
generate_traits_nonscalar(CyclePerm)
generate_traits_nonscalar(Partition)
generate_traits_nonscalar(CompressedPartition)
//smat
#define generate_traits_smat(X) \
template<typename C> \
struct LA_traits_aux<X<C>, scalar_false> { \
typedef C elementtype; \
typedef NRMat<C> producttype; \
typedef typename LA_traits<C>::normtype normtype; \
typedef X<typename LA_traits<C>::realtype> realtype; \
typedef X<typename LA_traits<C>::complextype> complextype; \
static bool gencmp(const C *x, const C *y, size_t n) {for(size_t i=0; i<n; ++i) if(x[i]!=y[i]) return true; return false;} \
static inline bool bigger(const C &x, const C &y) {return x>y;} \
static inline bool smaller(const C &x, const C &y) {return x<y;} \
static inline normtype norm (const X<C> &x) {return x.norm();} \
static inline void axpy (X<C>&s, const X<C> &x, const C c) {s.axpy(c,x);} \
static void put(int fd, const X<C> &x, bool dimensions=1, bool transp=0) {x.put(fd,dimensions);} \
static void get(int fd, X<C> &x, bool dimensions=1, bool transp=0) {x.get(fd,dimensions);} \
static void multiput(size_t n,int fd, const X<C> *x, bool dimensions=1) {for(size_t i=0; i<n; ++i) x[i].put(fd,dimensions);} \
static void multiget(size_t n,int fd, X<C> *x, bool dimensions=1) {for(size_t i=0; i<n; ++i) x[i].get(fd,dimensions);} \
static void copy(C *dest, C *src, size_t n) {for(size_t i=0; i<n; ++i) dest[i]=src[i];} \
static void clear(C *dest, size_t n) {for(size_t i=0; i<n; ++i) dest[i].clear();} \
static void copyonwrite(X<C> &x) {x.copyonwrite();} \
static bool is_plaindata() {return false;}\
static void clearme(X<C> &x) {x.clear();} \
static void deallocate(X<C> &x) {x.dealloc();} \
};
generate_traits_smat(NRSMat)
generate_traits_smat(NRSMat_from1)
//the final traits class
template<typename C>
struct LA_traits : LA_traits_aux<C, typename isscalar<C>::scalar_type> {};
}//namespace
#endif
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