mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2024-11-25 03:29:18 +08:00
530 lines
13 KiB
C++
530 lines
13 KiB
C++
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#include <stdio.h>
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#include <stdlib.h>
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#include <math.h>
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#include "mmio.h"
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#include <cusolverDn.h>
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/* avoid Windows warnings (for example: strcpy, fscanf, etc.) */
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#if defined(_WIN32)
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#define _CRT_SECURE_NO_WARNINGS
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#endif
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/* various __inline__ __device__ function to initialize a T_ELEM */
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template <typename T_ELEM> __inline__ T_ELEM cuGet (int );
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template <> __inline__ float cuGet<float >(int x)
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{
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return float(x);
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}
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template <> __inline__ double cuGet<double>(int x)
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{
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return double(x);
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}
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template <> __inline__ cuComplex cuGet<cuComplex>(int x)
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{
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return (make_cuComplex( float(x), 0.0f ));
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}
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template <> __inline__ cuDoubleComplex cuGet<cuDoubleComplex>(int x)
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{
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return (make_cuDoubleComplex( double(x), 0.0 ));
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}
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template <typename T_ELEM> __inline__ T_ELEM cuGet (int , int );
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template <> __inline__ float cuGet<float >(int x, int y)
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{
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return float(x);
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}
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template <> __inline__ double cuGet<double>(int x, int y)
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{
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return double(x);
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}
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template <> __inline__ cuComplex cuGet<cuComplex>(int x, int y)
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{
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return make_cuComplex( float(x), float(y) );
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}
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template <> __inline__ cuDoubleComplex cuGet<cuDoubleComplex>(int x, int y)
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{
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return (make_cuDoubleComplex( double(x), double(y) ));
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}
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template <typename T_ELEM> __inline__ T_ELEM cuGet (float );
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template <> __inline__ float cuGet<float >(float x)
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{
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return float(x);
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}
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template <> __inline__ double cuGet<double>(float x)
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{
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return double(x);
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}
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template <> __inline__ cuComplex cuGet<cuComplex>(float x)
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{
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return (make_cuComplex( float(x), 0.0f ));
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}
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template <> __inline__ cuDoubleComplex cuGet<cuDoubleComplex>(float x)
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{
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return (make_cuDoubleComplex( double(x), 0.0 ));
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}
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template <typename T_ELEM> __inline__ T_ELEM cuGet (float, float );
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template <> __inline__ float cuGet<float >(float x, float y)
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{
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return float(x);
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}
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template <> __inline__ double cuGet<double>(float x, float y)
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{
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return double(x);
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}
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template <> __inline__ cuComplex cuGet<cuComplex>(float x, float y)
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{
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return (make_cuComplex( float(x), float(y) ));
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}
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template <> __inline__ cuDoubleComplex cuGet<cuDoubleComplex>(float x, float y)
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{
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return (make_cuDoubleComplex( double(x), double(y) ));
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}
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template <typename T_ELEM> __inline__ T_ELEM cuGet (double );
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template <> __inline__ float cuGet<float >(double x)
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{
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return float(x);
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}
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template <> __inline__ double cuGet<double>(double x)
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{
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return double(x);
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}
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template <> __inline__ cuComplex cuGet<cuComplex>(double x)
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{
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return (make_cuComplex( float(x), 0.0f ));
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}
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template <> __inline__ cuDoubleComplex cuGet<cuDoubleComplex>(double x)
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{
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return (make_cuDoubleComplex( double(x), 0.0 ));
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}
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template <typename T_ELEM> __inline__ T_ELEM cuGet (double, double );
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template <> __inline__ float cuGet<float >(double x, double y)
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{
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return float(x);
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}
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template <> __inline__ double cuGet<double>(double x, double y)
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{
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return double(x);
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}
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template <> __inline__ cuComplex cuGet<cuComplex>(double x, double y)
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{
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return (make_cuComplex( float(x), float(y) ));
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}
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template <> __inline__ cuDoubleComplex cuGet<cuDoubleComplex>(double x, double y)
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{
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return (make_cuDoubleComplex( double(x), double(y) ));
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}
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static void compress_index(
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const int *Ind,
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int nnz,
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int m,
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int *Ptr,
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int base)
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{
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int i;
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/* initialize everything to zero */
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for(i=0; i<m+1; i++){
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Ptr[i]=0;
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}
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/* count elements in every row */
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Ptr[0]=base;
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for(i=0; i<nnz; i++){
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Ptr[Ind[i]+(1-base)]++;
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}
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/* add all the values */
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for(i=0; i<m; i++){
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Ptr[i+1]+=Ptr[i];
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}
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}
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struct cooFormat {
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int i ;
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int j ;
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int p ; // permutation
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};
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int cmp_cooFormat_csr( struct cooFormat *s, struct cooFormat *t)
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{
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if ( s->i < t->i ){
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return -1 ;
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}
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else if ( s->i > t->i ){
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return 1 ;
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}
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else{
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return s->j - t->j ;
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}
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}
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int cmp_cooFormat_csc( struct cooFormat *s, struct cooFormat *t)
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{
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if ( s->j < t->j ){
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return -1 ;
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}
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else if ( s->j > t->j ){
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return 1 ;
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}
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else{
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return s->i - t->i ;
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}
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}
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typedef int (*FUNPTR) (const void*, const void*) ;
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typedef int (*FUNPTR2) ( struct cooFormat *s, struct cooFormat *t) ;
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static FUNPTR2 fptr_array[2] = {
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cmp_cooFormat_csr,
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cmp_cooFormat_csc,
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};
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static int verify_pattern(
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int m,
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int nnz,
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int *csrRowPtr,
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int *csrColInd)
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{
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int i, col, start, end, base_index;
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int error_found = 0;
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if (nnz != (csrRowPtr[m] - csrRowPtr[0])){
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fprintf(stderr, "Error (nnz check failed): (csrRowPtr[%d]=%d - csrRowPtr[%d]=%d) != (nnz=%d)\n", 0, csrRowPtr[0], m, csrRowPtr[m], nnz);
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error_found = 1;
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}
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base_index = csrRowPtr[0];
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if ((0 != base_index) && (1 != base_index)){
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fprintf(stderr, "Error (base index check failed): base index = %d\n", base_index);
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error_found = 1;
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}
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for (i=0; (!error_found) && (i<m); i++){
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start = csrRowPtr[i ] - base_index;
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end = csrRowPtr[i+1] - base_index;
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if (start > end){
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fprintf(stderr, "Error (corrupted row): csrRowPtr[%d] (=%d) > csrRowPtr[%d] (=%d)\n", i, start+base_index, i+1, end+base_index);
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error_found = 1;
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}
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for (col=start; col<end; col++){
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if (csrColInd[col] < base_index){
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fprintf(stderr, "Error (column vs. base index check failed): csrColInd[%d] < %d\n", col, base_index);
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error_found = 1;
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}
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if ((col < (end-1)) && (csrColInd[col] >= csrColInd[col+1])){
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fprintf(stderr, "Error (sorting of the column indecis check failed): (csrColInd[%d]=%d) >= (csrColInd[%d]=%d)\n", col, csrColInd[col], col+1, csrColInd[col+1]);
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error_found = 1;
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}
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}
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}
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return error_found ;
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}
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template <typename T_ELEM>
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int loadMMSparseMatrix(
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char *filename,
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char elem_type,
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bool csrFormat,
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int *m,
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int *n,
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int *nnz,
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T_ELEM **aVal,
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int **aRowInd,
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int **aColInd,
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int extendSymMatrix)
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{
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MM_typecode matcode;
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double *tempVal;
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int *tempRowInd,*tempColInd;
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double *tval;
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int *trow,*tcol;
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int *csrRowPtr, *cscColPtr;
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int i,j,error,base,count;
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struct cooFormat *work;
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/* read the matrix */
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error = mm_read_mtx_crd(filename, m, n, nnz, &trow, &tcol, &tval, &matcode);
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if (error) {
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fprintf(stderr, "!!!! can not open file: '%s'\n", filename);
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return 1;
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}
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/* start error checking */
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if (mm_is_complex(matcode) && ((elem_type != 'z') && (elem_type != 'c'))) {
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fprintf(stderr, "!!!! complex matrix requires type 'z' or 'c'\n");
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return 1;
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}
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if (mm_is_dense(matcode) || mm_is_array(matcode) || mm_is_pattern(matcode) /*|| mm_is_integer(matcode)*/){
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fprintf(stderr, "!!!! dense, array, pattern and integer matrices are not supported\n");
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return 1;
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}
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/* if necessary symmetrize the pattern (transform from triangular to full) */
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if ((extendSymMatrix) && (mm_is_symmetric(matcode) || mm_is_hermitian(matcode) || mm_is_skew(matcode))){
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//count number of non-diagonal elements
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count=0;
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for(i=0; i<(*nnz); i++){
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if (trow[i] != tcol[i]){
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count++;
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}
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}
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//allocate space for the symmetrized matrix
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tempRowInd = (int *)malloc((*nnz + count) * sizeof(int));
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tempColInd = (int *)malloc((*nnz + count) * sizeof(int));
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if (mm_is_real(matcode) || mm_is_integer(matcode)){
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tempVal = (double *)malloc((*nnz + count) * sizeof(double));
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}
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else{
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tempVal = (double *)malloc(2 * (*nnz + count) * sizeof(double));
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}
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//copy the elements regular and transposed locations
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for(j=0, i=0; i<(*nnz); i++){
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tempRowInd[j]=trow[i];
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tempColInd[j]=tcol[i];
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if (mm_is_real(matcode) || mm_is_integer(matcode)){
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tempVal[j]=tval[i];
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}
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else{
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tempVal[2*j] =tval[2*i];
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tempVal[2*j+1]=tval[2*i+1];
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}
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j++;
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if (trow[i] != tcol[i]){
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tempRowInd[j]=tcol[i];
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tempColInd[j]=trow[i];
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if (mm_is_real(matcode) || mm_is_integer(matcode)){
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if (mm_is_skew(matcode)){
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tempVal[j]=-tval[i];
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}
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else{
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tempVal[j]= tval[i];
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}
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}
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else{
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if(mm_is_hermitian(matcode)){
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tempVal[2*j] = tval[2*i];
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tempVal[2*j+1]=-tval[2*i+1];
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}
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else{
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tempVal[2*j] = tval[2*i];
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tempVal[2*j+1]= tval[2*i+1];
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}
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}
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j++;
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}
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}
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(*nnz)+=count;
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//free temporary storage
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free(trow);
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free(tcol);
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free(tval);
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}
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else{
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tempRowInd=trow;
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tempColInd=tcol;
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tempVal =tval;
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}
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// life time of (trow, tcol, tval) is over.
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// please use COO format (tempRowInd, tempColInd, tempVal)
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// use qsort to sort COO format
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work = (struct cooFormat *)malloc(sizeof(struct cooFormat)*(*nnz));
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if (NULL == work){
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fprintf(stderr, "!!!! allocation error, malloc failed\n");
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return 1;
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}
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for(i=0; i<(*nnz); i++){
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work[i].i = tempRowInd[i];
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work[i].j = tempColInd[i];
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work[i].p = i; // permutation is identity
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}
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if (csrFormat){
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/* create row-major ordering of indices (sorted by row and within each row by column) */
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qsort(work, *nnz, sizeof(struct cooFormat), (FUNPTR)fptr_array[0] );
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}else{
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/* create column-major ordering of indices (sorted by column and within each column by row) */
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qsort(work, *nnz, sizeof(struct cooFormat), (FUNPTR)fptr_array[1] );
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}
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// (tempRowInd, tempColInd) is sorted either by row-major or by col-major
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for(i=0; i<(*nnz); i++){
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tempRowInd[i] = work[i].i;
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tempColInd[i] = work[i].j;
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}
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// setup base
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// check if there is any row/col 0, if so base-0
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// check if there is any row/col equal to matrix dimension m/n, if so base-1
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int base0 = 0;
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int base1 = 0;
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for(i=0; i<(*nnz); i++){
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const int row = tempRowInd[i];
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const int col = tempColInd[i];
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if ( (0 == row) || (0 == col) ){
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base0 = 1;
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}
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if ( (*m == row) || (*n == col) ){
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base1 = 1;
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}
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}
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if ( base0 && base1 ){
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printf("Error: input matrix is base-0 and base-1 \n");
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return 1;
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}
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base = 0;
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if (base1){
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base = 1;
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}
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/* compress the appropriate indices */
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if (csrFormat){
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/* CSR format (assuming row-major format) */
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csrRowPtr = (int *)malloc(((*m)+1) * sizeof(csrRowPtr[0]));
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if (!csrRowPtr) return 1;
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compress_index(tempRowInd, *nnz, *m, csrRowPtr, base);
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*aRowInd = csrRowPtr;
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*aColInd = (int *)malloc((*nnz) * sizeof(int));
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}
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else {
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/* CSC format (assuming column-major format) */
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cscColPtr = (int *)malloc(((*n)+1) * sizeof(cscColPtr[0]));
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if (!cscColPtr) return 1;
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compress_index(tempColInd, *nnz, *n, cscColPtr, base);
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*aColInd = cscColPtr;
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*aRowInd = (int *)malloc((*nnz) * sizeof(int));
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}
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/* transfrom the matrix values of type double into one of the cusparse library types */
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||
|
*aVal = (T_ELEM *)malloc((*nnz) * sizeof(T_ELEM));
|
||
|
|
||
|
for (i=0; i<(*nnz); i++) {
|
||
|
if (csrFormat){
|
||
|
(*aColInd)[i] = tempColInd[i];
|
||
|
}
|
||
|
else{
|
||
|
(*aRowInd)[i] = tempRowInd[i];
|
||
|
}
|
||
|
if (mm_is_real(matcode) || mm_is_integer(matcode)){
|
||
|
(*aVal)[i] = cuGet<T_ELEM>( tempVal[ work[i].p ] );
|
||
|
}
|
||
|
else{
|
||
|
(*aVal)[i] = cuGet<T_ELEM>(tempVal[2*work[i].p], tempVal[2*work[i].p+1]);
|
||
|
}
|
||
|
}
|
||
|
|
||
|
/* check for corruption */
|
||
|
int error_found;
|
||
|
if (csrFormat){
|
||
|
error_found = verify_pattern(*m, *nnz, *aRowInd, *aColInd);
|
||
|
}else{
|
||
|
error_found = verify_pattern(*n, *nnz, *aColInd, *aRowInd);
|
||
|
}
|
||
|
if (error_found){
|
||
|
fprintf(stderr, "!!!! verify_pattern failed\n");
|
||
|
return 1;
|
||
|
}
|
||
|
|
||
|
/* cleanup and exit */
|
||
|
free(work);
|
||
|
free(tempVal);
|
||
|
free(tempColInd);
|
||
|
free(tempRowInd);
|
||
|
|
||
|
return 0;
|
||
|
}
|
||
|
|
||
|
|
||
|
/* specific instantiation */
|
||
|
template int loadMMSparseMatrix<float>(
|
||
|
char *filename,
|
||
|
char elem_type,
|
||
|
bool csrFormat,
|
||
|
int *m,
|
||
|
int *n,
|
||
|
int *nnz,
|
||
|
float **aVal,
|
||
|
int **aRowInd,
|
||
|
int **aColInd,
|
||
|
int extendSymMatrix);
|
||
|
|
||
|
template int loadMMSparseMatrix<double>(
|
||
|
char *filename,
|
||
|
char elem_type,
|
||
|
bool csrFormat,
|
||
|
int *m,
|
||
|
int *n,
|
||
|
int *nnz,
|
||
|
double **aVal,
|
||
|
int **aRowInd,
|
||
|
int **aColInd,
|
||
|
int extendSymMatrix);
|
||
|
|
||
|
template int loadMMSparseMatrix<cuComplex>(
|
||
|
char *filename,
|
||
|
char elem_type,
|
||
|
bool csrFormat,
|
||
|
int *m,
|
||
|
int *n,
|
||
|
int *nnz,
|
||
|
cuComplex **aVal,
|
||
|
int **aRowInd,
|
||
|
int **aColInd,
|
||
|
int extendSymMatrix);
|
||
|
|
||
|
template int loadMMSparseMatrix<cuDoubleComplex>(
|
||
|
char *filename,
|
||
|
char elem_type,
|
||
|
bool csrFormat,
|
||
|
int *m,
|
||
|
int *n,
|
||
|
int *nnz,
|
||
|
cuDoubleComplex **aVal,
|
||
|
int **aRowInd,
|
||
|
int **aColInd,
|
||
|
int extendSymMatrix);
|
||
|
|
||
|
|