cvmmul
Perform row- or column-based multiplication operations between a complex vector and a complex matrix.
The function interface declaration is as follows:
Operations on numbers of the float type:
void (vsip_cvmmul_f)(const vsip_cvview_f *a, const vsip_cmview_f *B, vsip_major major, const vsip_cmview_f *R);
Parameters
Parameter |
Description |
Value Range |
Input/Output |
|---|---|---|---|
a |
Pointer to the source complex vector |
The value cannot be NULL. |
Input |
B |
Pointer to the source complex matrix |
The value cannot be NULL. |
Input |
major |
Perform operations by row or column. |
Enumerated values of vsip_major: VSIP_ROW: row-based VSIP_COL: column-based |
Input |
R |
Pointer to the destination complex matrix |
The value cannot be NULL. |
Output |
Abnormal Input
When a null pointer is input, the function directly returns a result.
Example
#include <stdio.h>
#include <stdlib.h>
#include <stdint.h>
#include "kvsip.h"
#include "vsip.h"
#include "vsip_type.h"
void CvmmulExample()
{
int32_t row = 4;
int32_t col = 3;
int64_t rowStride = 1;
int64_t colStride = row * rowStride;
uint64_t offset = 0;
vsip_major major = VSIP_ROW;
int32_t cvLen = 2 * (row * rowStride + offset);
int32_t cmLen = 2 * (col * colStride + offset);
float *src1 = (float *)malloc(cvLen * sizeof(float));
float *src2 = (float *)malloc(cmLen * sizeof(float));
float *dst = (float *)malloc(cmLen * sizeof(float));
for (int32_t i = 0; i < cvLen; ++i) {
src1[i] = 1 + i / 100.0f;
}
for (int32_t i = 0; i < cmLen; ++i) {
src2[i] = 2 + i / 100.0f;
}
vsip_cblock_f *block_a = vsip_cblockbind_f(src1, NULL, cvLen, VSIP_MEM_NONE);
vsip_cblock_f *block_b = vsip_cblockbind_f(src2, NULL, cmLen, VSIP_MEM_NONE);
vsip_cblock_f *block_r = vsip_cblockbind_f(dst, NULL, cmLen, VSIP_MEM_NONE);
vsip_cvview_f *a = vsip_cvbind_f(block_a, offset, rowStride, cvLen);
vsip_cblockadmit_f(block_a, VSIP_TRUE);
vsip_cmview_f *B = vsip_cmbind_f(block_b, offset, colStride, col, rowStride, row);
vsip_cblockadmit_f(block_b, VSIP_TRUE);
vsip_cmview_f *R = vsip_cmbind_f(block_r, offset, colStride, col, rowStride, row);
vsip_cblockadmit_f(block_r, VSIP_TRUE);
vsip_cvmmul_f(a, B, major, R);
vsip_cvalldestroy_f(a);
vsip_cmalldestroy_f(B);
vsip_cmalldestroy_f(R);
printf("src1:\n");
for (int32_t i = 0; i < row; ++i) {
printf("%.5f ", src1[i * 2]);
printf("%.5f ", src1[i * 2 + 1]);
}
printf("\n\nsrc2:\n");
for (int32_t i = 0; i < col; ++i) {
for (int32_t j = 0; j < row; ++j) {
printf("%.5f ", src2[i * row * 2 + j * 2]);
printf("%.5f ", src2[i * row * 2 + j * 2 + 1]);
}
printf("\n");
}
printf("\ndst:\n");
for (int32_t i = 0; i < col; ++i) {
for (int32_t j = 0; j < row; ++j) {
printf("%.5f ", dst[i * row * 2 + j * 2]);
printf("%.5f ", dst[i * row * 2 + j * 2 + 1]);
}
printf("\n");
}
free(src1);
free(src2);
free(dst);
}
int main(void) {
CvmmulExample();
return 0;
}
Output:
src1: 1.00000 1.01000 1.02000 1.03000 1.04000 1.05000 1.06000 1.07000 src2: 2.00000 2.01000 2.02000 2.03000 2.04000 2.05000 2.06000 2.07000 2.08000 2.09000 2.10000 2.11000 2.12000 2.13000 2.14000 2.15000 2.16000 2.17000 2.18000 2.19000 2.20000 2.21000 2.22000 2.23000 dst: -0.03010 4.03000 -0.03050 4.15120 -0.03090 4.27400 -0.03130 4.39840 -0.03090 4.19080 -0.03130 4.31520 -0.03170 4.44120 -0.03210 4.56880 -0.03170 4.35160 -0.03210 4.47920 -0.03250 4.60840 -0.03290 4.73920
Parent topic: Matrix Operation Functions