C++ mkl库DCT函数实现问题
我试图用mkl.lib DCT函数替换ipp.lib DCT函数。 我使用以下基于Ipp的API进行DCT:C++ mkl库DCT函数实现问题,c++,intel-mkl,intel-ipp,C++,Intel Mkl,Intel Ipp,我试图用mkl.lib DCT函数替换ipp.lib DCT函数。 我使用以下基于Ipp的API进行DCT: ippsDCTFwdInitAlloc_32f ippsDCTFwd_32f ippsDCTFwdFree_32f 基于PFB mkl的DCT示例代码: #include <time.h> #include <stdlib.h> #include "mkl.h" int main(int argc, char* argv[]){ float *dpar
ippsDCTFwdInitAlloc_32f
ippsDCTFwd_32f
ippsDCTFwdFree_32f
基于PFB mkl的DCT示例代码:
#include <time.h>
#include <stdlib.h>
#include "mkl.h"
int main(int argc, char* argv[]){
float *dpar;
float *out;
MKL_INT *ipar;
MKL_INT tt_type,stat,n_1,nn;
FILE *fp,*fw,*fonce;
fp = fopen( "D:\\dump\\fileinput.txt","r" );
if(fp == NULL){
cout<<"file not created properly"<<endl;
}
DFTI_DESCRIPTOR_HANDLE handle = 0;
int n = 150; /*Hardcoded to run for my code TODO: going to change after integrating into my main codebase.As I can't attach my full fileinput.txt .So just taken n value = 150 */
nn = (MKL_INT)n;
tt_type = MKL_STAGGERED_COSINE_TRANSFORM;
n_1 = nn + 1 ;
out = (float*)malloc((n+1)*sizeof(float));
dpar= (float*)malloc((5*n_1/2+2)*sizeof(float));
ipar= (MKL_INT*)malloc((128)*sizeof(int));
s_init_trig_transform(&n_1,&tt_type,ipar,dpar,&stat);
for (int srcSize =0 ;srcSize< n ; srcSize++)
{
fscanf(fp,"%f\n",&out[srcSize]);
}
fclose(fp);
if (stat != 0)
{
printf("\n============================================================================\n");
printf("FFTW2MKL FATAL ERROR: MKL TT initialization has failed with status=%d\n",(MKL_INT)stat);
printf("Please refer to the Trigonometric Transform Routines Section of MKL Manual\n");
printf("to find what went wrong...\n");
printf("============================================================================\n");
return NULL;
}
ipar[10] = 1; //nx, that is, the number of intervals along the x-axis, in the Cartesian case.
ipar[14] = n_1; //specifies the internal partitioning of the dpar array.
ipar[15] = 1; //value of ipar[14]+1,Specifies the internal partitioning of the dpar array.
s_commit_trig_transform(out,&handle,ipar,dpar,&stat);
if (stat != 0)
{
printf("\n============================================================================\n");
printf("FFTW2MKL FATAL ERROR: MKL TT commit step has failed with status=%d\n",(MKL_INT)stat);
printf("Please refer to the Trigonometric Transform Routines Section of MKL Manual\n");
printf("to find what went wrong...\n");
printf("============================================================================\n");
return NULL;
}
s_forward_trig_transform(out,&handle,ipar,dpar,&stat);
if (stat != 0)
{
printf("\n============================================================================\n");
printf("FFTW2MKL FATAL ERROR: MKL TT commit step has failed with status=%d\n",(MKL_INT)stat);
printf("Please refer to the Trigonometric Transform Routines Section of MKL Manual\n");
printf("to find what went wrong...\n");
printf("============================================================================\n");
return NULL;
}
free_trig_transform(&handle,ipar,&stat);
printf("\n===== DCT GOT OVER ======== \n");
return 0;
}
我想你说的是这些函数的dpar参数。 实际上,它们不用于计算结果。它们仅用于存储TT计算中使用的中间sin/cos数据 对于计算功能: d_前向触发变换(双f[],DFTI描述符_句柄*句柄,MKL _INTIPAR[],双dpar[],MKL _INT*stat) 输入和输出都是相同大小的F[]。 有关更多信息,请参阅以下链接:
我将对此进行检查。但至少要按原样运行代码,您应该使用“cout”或“printf”。或者添加#使用名称空间std包含“iostream”;它帮助我理解了一些要点。但它仍然不能解决问题!!
129.000000 128.000000 145.000000 140.000000 102.000000 93.000000 100.000000 97.000000 94.000000 88.000000 58.000000 67.000000
79.000000 62.000000 62.000000 64.000000 63.000000 63.000000 70.000000 80.000000 61.000000 62.000000 63.000000 64.000000
62.000000 78.000000 66.000000 65.000000 68.000000 74.000000 78.000000 66.000000 67.000000 76.000000 67.000000 65.000000
76.000000 83.000000 66.000000 66.000000 65.000000 66.000000 72.000000 80.000000 65.000000 66.000000 69.000000 80.000000
75.000000 66.000000 71.000000 80.000000 69.000000 80.000000 85.000000 70.000000 77.000000 68.000000 67.000000 80.000000
83.000000 69.000000 71.000000 73.000000 69.000000 70.000000 71.000000 71.000000 70.000000 71.000000 88.000000 86.000000
78.000000 78.000000 70.000000 73.000000 81.000000 83.000000 76.000000 75.000000 72.000000 72.000000 73.000000 75.000000
79.000000 76.000000 80.000000 87.000000 84.000000 79.000000 73.000000 72.000000 72.000000 72.000000 73.000000 79.000000
76.000000 74.000000 76.000000 78.000000 76.000000 74.000000 73.000000 76.000000 78.000000 78.000000 73.000000 74.000000
73.000000 72.000000 72.000000 73.000000 75.000000 77.000000 76.000000 75.000000 74.000000 74.000000 75.000000 78.000000
81.000000 78.000000 75.000000 74.000000 74.000000 74.000000 75.000000 77.000000 79.000000 80.000000 81.000000 78.000000
76.000000 75.000000 74.000000 74.000000 74.000000 75.000000 76.000000 76.000000 75.000000 77.000000 78.000000 79.000000
80.000000 79.000000 79.000000 79.000000 78.000000 76.000000 76.000000 76.000000 76.000000 77.000000 77.000000 77.000000
78.000000 80.000000 80.000000 80.000000 80.000000 80.000000 78.000000 78.000000 78.000000 78.000000 78.000000 80.000000