support for Orca format in binary put() and get()
This commit is contained in:
16
la_traits.h
16
la_traits.h
@@ -392,10 +392,10 @@ 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 put(int fd, const X<C> &x, bool dimensions=1, bool transp=0, bool orcaformat=false) {x.put(fd,dimensions,transp,orcaformat);} \
|
||||
static void get(int fd, X<C> &x, bool dimensions=1, bool transp=0, bool orcaformat=false) {x.get(fd,dimensions,transp,orcaformat);} \
|
||||
static void multiput(size_t n,int fd, const X<C> *x, bool dimensions=1, bool orcaformat=false) {for(size_t i=0; i<n; ++i) x[i].put(fd,dimensions,false,orcaformat);} \
|
||||
static void multiget(size_t n,int fd, X<C> *x, bool dimensions=1, bool orcaformat=false) {for(size_t i=0; i<n; ++i) x[i].get(fd,dimensions,false,orcaformat);} \
|
||||
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();}\
|
||||
@@ -435,10 +435,10 @@ 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 put(int fd, const X<C> &x, bool dimensions=1, bool transp=0, bool orcaformat=false) {x.put(fd,dimensions,false,orcaformat);} \
|
||||
static void get(int fd, X<C> &x, bool dimensions=1, bool transp=0, bool orcaformat=false) {x.get(fd,dimensions,false,orcaformat);} \
|
||||
static void multiput(size_t n,int fd, const X<C> *x, bool dimensions=1, bool orcaformat=false) {for(size_t i=0; i<n; ++i) x[i].put(fd,dimensions,false,orcaformat);} \
|
||||
static void multiget(size_t n,int fd, X<C> *x, bool dimensions=1, bool orcaformat=false) {for(size_t i=0; i<n; ++i) x[i].get(fd,dimensions,false,orcaformat);} \
|
||||
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();} \
|
||||
|
||||
19
mat.cc
19
mat.cc
@@ -121,12 +121,12 @@ const NRVec<T> NRMat<T>::row(const int i, int l) const {
|
||||
* @see NRVec<T>::put()
|
||||
******************************************************************************/
|
||||
template <typename T>
|
||||
void NRMat<T>::put(int fd, bool dim, bool transp) const {
|
||||
void NRMat<T>::put(int fd, bool dim, bool transp, bool orcaformat) const {
|
||||
#ifdef CUDALA
|
||||
if(location != cpu) {
|
||||
NRMat<T> tmp = *this;
|
||||
tmp.moveto(cpu);
|
||||
tmp.put(fd, dim, transp);
|
||||
tmp.put(fd, dim, transp, orcaformat);
|
||||
return;
|
||||
}
|
||||
#endif
|
||||
@@ -134,6 +134,11 @@ void NRMat<T>::put(int fd, bool dim, bool transp) const {
|
||||
if(dim){
|
||||
if(sizeof(int) != write(fd,&(transp?mm:nn),sizeof(int))) laerror("write failed");
|
||||
if(sizeof(int) != write(fd,&(transp?nn:mm),sizeof(int))) laerror("write failed");
|
||||
if(orcaformat)
|
||||
{
|
||||
int tmp=sizeof(T);
|
||||
if(sizeof(int) != write(fd,&tmp,sizeof(int))) laerror("write failed");
|
||||
}
|
||||
}
|
||||
|
||||
if(transp){ //not particularly efficient
|
||||
@@ -167,12 +172,12 @@ void NRMat<T>::put(int fd, bool dim, bool transp) const {
|
||||
* @see NRVec<T>::get(), copyonwrite()
|
||||
******************************************************************************/
|
||||
template <typename T>
|
||||
void NRMat<T>::get(int fd, bool dim, bool transp){
|
||||
void NRMat<T>::get(int fd, bool dim, bool transp, bool orcaformat){
|
||||
#ifdef CUDALA
|
||||
if(location != cpu){
|
||||
NRMat<T> tmp;
|
||||
tmp.moveto(cpu);
|
||||
tmp.get(fd, dim, transp);
|
||||
tmp.get(fd, dim, transp,orcaformat);
|
||||
tmp.moveto(getlocation());
|
||||
*this = tmp;
|
||||
return;
|
||||
@@ -183,6 +188,12 @@ void NRMat<T>::get(int fd, bool dim, bool transp){
|
||||
if(dim){
|
||||
if(sizeof(int) != read(fd, &nn0, sizeof(int))) laerror("read failed");
|
||||
if(sizeof(int) != read(fd, &mm0, sizeof(int))) laerror("read failed");
|
||||
if(orcaformat)
|
||||
{
|
||||
int tmp;
|
||||
if(sizeof(int) != read(fd, &tmp, sizeof(int))) laerror("read failed");
|
||||
if(tmp!=sizeof(T)) laerror("mismatch in orca format");
|
||||
}
|
||||
if(transp) resize(mm0, nn0); else resize(nn0, mm0);
|
||||
}else{
|
||||
copyonwrite();
|
||||
|
||||
4
mat.h
4
mat.h
@@ -305,9 +305,9 @@ public:
|
||||
inline size_t size() const;
|
||||
|
||||
//! unformatted input
|
||||
void get(int fd, bool dimensions = 1, bool transposed = false);
|
||||
void get(int fd, bool dimensions = 1, bool transposed = false, bool orcaformat=false);
|
||||
//! unformatted output
|
||||
void put(int fd, bool dimensions = 1, bool transposed = false) const;
|
||||
void put(int fd, bool dimensions = 1, bool transposed = false, bool orcaformat=false) const;
|
||||
//! formatted output
|
||||
void fprintf(FILE *f, const char *format, const int modulo) const;
|
||||
//! formatted input
|
||||
|
||||
19
smat.cc
19
smat.cc
@@ -41,12 +41,12 @@ namespace LA {
|
||||
* @see NRMat<T>::get(), NRSMat<T>::copyonwrite()
|
||||
******************************************************************************/
|
||||
template <typename T>
|
||||
void NRSMat<T>::put(int fd, bool dim, bool transp) const {
|
||||
void NRSMat<T>::put(int fd, bool dim, bool transp, bool orcaformat) const {
|
||||
#ifdef CUDALA
|
||||
if(location != cpu){
|
||||
NRSMat<T> tmp= *this;
|
||||
tmp.moveto(cpu);
|
||||
tmp.put(fd,dim,transp);
|
||||
tmp.put(fd,dim,transp,orcaformat);
|
||||
return;
|
||||
}
|
||||
#endif
|
||||
@@ -54,6 +54,11 @@ void NRSMat<T>::put(int fd, bool dim, bool transp) const {
|
||||
if(dim){
|
||||
if(sizeof(int) != write(fd,&nn,sizeof(int))) laerror("cannot write");
|
||||
if(sizeof(int) != write(fd,&nn,sizeof(int))) laerror("cannot write");
|
||||
if(orcaformat)
|
||||
{
|
||||
int tmp=sizeof(T);
|
||||
if(sizeof(int) != write(fd,&tmp,sizeof(int))) laerror("cannot write");
|
||||
}
|
||||
}
|
||||
LA_traits<T>::multiput((size_t)nn*(nn+1)/2,fd,v,dim);
|
||||
}
|
||||
@@ -66,12 +71,12 @@ void NRSMat<T>::put(int fd, bool dim, bool transp) const {
|
||||
* @see NRSMat<T>::put(), NRSMat<T>::copyonwrite()
|
||||
******************************************************************************/
|
||||
template <typename T>
|
||||
void NRSMat<T>::get(int fd, bool dim, bool transp) {
|
||||
void NRSMat<T>::get(int fd, bool dim, bool transp, bool orcaformat) {
|
||||
#ifdef CUDALA
|
||||
if(location != cpu){
|
||||
NRSMat<T> tmp;
|
||||
tmp.moveto(cpu);
|
||||
tmp.get(fd,dim,transp);
|
||||
tmp.get(fd,dim,transp,orcaformat);
|
||||
tmp.moveto(location);
|
||||
*this = tmp;
|
||||
return;
|
||||
@@ -82,6 +87,12 @@ void NRSMat<T>::get(int fd, bool dim, bool transp) {
|
||||
errno = 0;
|
||||
if(dim){
|
||||
if(2*sizeof(int) != read(fd,&nn0,2*sizeof(int))) laerror("cannot read");
|
||||
if(orcaformat)
|
||||
{
|
||||
int tmp;
|
||||
if(sizeof(int) != read(fd,&tmp,sizeof(int))) laerror("cannot read");
|
||||
if(tmp!=sizeof(T)) laerror("mismatch in orca format");
|
||||
}
|
||||
resize(nn0[0]);
|
||||
}else{
|
||||
copyonwrite();
|
||||
|
||||
4
smat.h
4
smat.h
@@ -183,8 +183,8 @@ public:
|
||||
|
||||
|
||||
const T trace() const;
|
||||
void get(int fd, bool dimensions = 1, bool transp = 0);
|
||||
void put(int fd, bool dimensions = 1, bool transp = 0) const;
|
||||
void get(int fd, bool dimensions = 1, bool transp = 0, bool orcaformat=false);
|
||||
void put(int fd, bool dimensions = 1, bool transp = 0, bool orcaformat=false) const;
|
||||
|
||||
void copyonwrite(bool detachonly=false, bool deep=true);
|
||||
|
||||
|
||||
31
vec.h
31
vec.h
@@ -455,12 +455,12 @@ public:
|
||||
//! routine for formatted output
|
||||
void fprintf(FILE *f, const char *format, const int modulo) const;
|
||||
//! routine for unformatted output
|
||||
void put(int fd, bool dimensions=1, bool transp=0) const;
|
||||
void put(int fd, bool dimensions=1, bool transp=0, bool orca_format=false) const;
|
||||
|
||||
//! routine for formatted input
|
||||
void fscanf(FILE *f, const char *format);
|
||||
//! routine for unformatted input
|
||||
void get(int fd, bool dimensions=1, bool transp=0);
|
||||
void get(int fd, bool dimensions=1, bool transp=0, bool orca_format=false);
|
||||
|
||||
//! constructor creating vector from sparse matrix
|
||||
explicit NRVec(const SparseMat<T> &rhs);
|
||||
@@ -2015,12 +2015,12 @@ inline const std::complex<double> NRVec<std::complex<double> >::amin() const {
|
||||
* @see NRMat<T>::put()
|
||||
******************************************************************************/
|
||||
template <typename T>
|
||||
void NRVec<T>::put(int fd, bool dim, bool transp) const {
|
||||
void NRVec<T>::put(int fd, bool dim, bool transp, bool orcaformat) const {
|
||||
#ifdef CUDALA
|
||||
if(location != cpu){
|
||||
NRVec<T> tmp = *this;
|
||||
tmp.moveto(cpu);
|
||||
tmp.put(fd,dim,transp);
|
||||
tmp.put(fd,dim,transp,orcaformat);
|
||||
return;
|
||||
}
|
||||
#endif
|
||||
@@ -2028,7 +2028,15 @@ void NRVec<T>::put(int fd, bool dim, bool transp) const {
|
||||
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");
|
||||
if(!orcaformat)
|
||||
{
|
||||
if(sizeof(int) != write(fd,&pad,sizeof(int))) laerror("write failed");
|
||||
}
|
||||
if(orcaformat)
|
||||
{
|
||||
int tmp=sizeof(T);
|
||||
if(sizeof(int) != write(fd,&tmp,sizeof(int))) laerror("write failed");
|
||||
}
|
||||
}
|
||||
LA_traits<T>::multiput(nn,fd,v,dim);
|
||||
}
|
||||
@@ -2041,12 +2049,12 @@ void NRVec<T>::put(int fd, bool dim, bool transp) const {
|
||||
* @see NRMat<T>::get(), copyonwrite()
|
||||
******************************************************************************/
|
||||
template <typename T>
|
||||
void NRVec<T>::get(int fd, bool dim, bool transp) {
|
||||
void NRVec<T>::get(int fd, bool dim, bool transp, bool orcaformat) {
|
||||
#ifdef CUDALA
|
||||
if(location != cpu){
|
||||
NRVec<T> tmp;
|
||||
tmp.moveto(cpu);
|
||||
tmp.get(fd,dim,transp);
|
||||
tmp.get(fd,dim,transp,orcaformat);
|
||||
tmp.moveto(location);
|
||||
*this = tmp;
|
||||
return;
|
||||
@@ -2055,7 +2063,14 @@ void NRVec<T>::get(int fd, bool dim, bool transp) {
|
||||
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");
|
||||
int ndims=orcaformat?1:2;
|
||||
if(ndims*sizeof(int) != read(fd,&nn0,ndims*sizeof(int))) laerror("read failed");
|
||||
if(orcaformat)
|
||||
{
|
||||
int tmp;
|
||||
if(sizeof(int) != read(fd,&tmp,sizeof(int))) laerror("read failed");
|
||||
if(tmp!=sizeof(T)) laerror("mismatch in orca format");
|
||||
}
|
||||
resize(nn0[0]);
|
||||
}else{
|
||||
copyonwrite();
|
||||
|
||||
Reference in New Issue
Block a user