jiri
/
LA_library
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

put() and get() moved from vec.cc to vec.h to support user-defined types

This commit is contained in:
Jiri Pittner 2023-03-10 16:39:07 +01:00
parent 01ee3b3520
commit 8e9a8a999b
2 changed files with 59 additions and 56 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

56
vec.cc
View File

@ -52,62 +52,6 @@ NRVec<T>::NRVec(const NRMat<T> &rhs) {
}
#endif
/***************************************************************************//**
* routine for raw output
* @param[in] fd file descriptor for output
* @param[in] dim number of elements intended for output
* @param[in] transp reserved
* @see NRMat<T>::put()
******************************************************************************/
template <typename T>
void NRVec<T>::put(int fd, bool dim, bool transp) const {
#ifdef CUDALA
if(location != cpu){
NRVec<T> tmp = *this;
tmp.moveto(cpu);
tmp.put(fd,dim,transp);
return;
}
#endif
errno = 0;
int pad(1); //align at least 8-byte
if(dim){
if(sizeof(int) != write(fd,&nn,sizeof(int))) laerror("write failed");
if(sizeof(int) != write(fd,&pad,sizeof(int))) laerror("write failed");
}
LA_traits<T>::multiput(nn,fd,v,dim);
}
/***************************************************************************//**
* routine for raw input
* @param[in] fd file descriptor for input
* @param[in] dim number of elements intended for input, for dim=0 perform copyonwrite
* @param[in] transp reserved
* @see NRMat<T>::get(), copyonwrite()
******************************************************************************/
template <typename T>
void NRVec<T>::get(int fd, bool dim, bool transp) {
#ifdef CUDALA
if(location != cpu){
NRVec<T> tmp;
tmp.moveto(cpu);
tmp.get(fd,dim,transp);
tmp.moveto(location);
*this = tmp;
return;
}
#endif
int nn0[2]; //align at least 8-byte
errno = 0;
if(dim){
if(2*sizeof(int) != read(fd,&nn0,2*sizeof(int))) laerror("read failed");
resize(nn0[0]);
}else{
copyonwrite();
}
LA_traits<T>::multiget(nn,fd,v,dim);
}
/***************************************************************************//**
* routine for formatted output via lawritemat
* @param[in] file pointer to <tt>FILE</tt> structure representing the output file

59
vec.h
View File

@ -1859,6 +1859,65 @@ inline const std::complex<double> NRVec<std::complex<double> >::amin() const {
#endif
return ret;
}
/***************************************************************************//**
* routine for raw output
* @param[in] fd file descriptor for output
* @param[in] dim number of elements intended for output
* @param[in] transp reserved
* @see NRMat<T>::put()
******************************************************************************/
template <typename T>
void NRVec<T>::put(int fd, bool dim, bool transp) const {
#ifdef CUDALA
if(location != cpu){
NRVec<T> tmp = *this;
tmp.moveto(cpu);
tmp.put(fd,dim,transp);
return;
}
#endif
errno = 0;
int pad(1); //align at least 8-byte
if(dim){
if(sizeof(int) != write(fd,&nn,sizeof(int))) laerror("write failed");
if(sizeof(int) != write(fd,&pad,sizeof(int))) laerror("write failed");
}
LA_traits<T>::multiput(nn,fd,v,dim);
}
/***************************************************************************//**
* routine for raw input
* @param[in] fd file descriptor for input
* @param[in] dim number of elements intended for input, for dim=0 perform copyonwrite
* @param[in] transp reserved
* @see NRMat<T>::get(), copyonwrite()
******************************************************************************/
template <typename T>
void NRVec<T>::get(int fd, bool dim, bool transp) {
#ifdef CUDALA
if(location != cpu){
NRVec<T> tmp;
tmp.moveto(cpu);
tmp.get(fd,dim,transp);
tmp.moveto(location);
*this = tmp;
return;
}
#endif
int nn0[2]; //align at least 8-byte
errno = 0;
if(dim){
if(2*sizeof(int) != read(fd,&nn0,2*sizeof(int))) laerror("read failed");
resize(nn0[0]);
}else{
copyonwrite();
}
LA_traits<T>::multiget(nn,fd,v,dim);
}
}//namespace
#endif /* _LA_VEC_H_ */