Matrix multiplication

The function performs generalized matrix multiplication similar to the gemm functions in BLAS level 3: $D = \alpha*AB+\beta*C$. More...

Collaboration diagram for Matrix multiplication:

Functions
int	hal_ni_gemm32f (const float *src1, size_t src1_step, const float *src2, size_t src2_step, float alpha, const float *src3, size_t src3_step, float beta, float *dst, size_t dst_step, int m, int n, int k, int flags)
int	hal_ni_gemm32fc (const float *src1, size_t src1_step, const float *src2, size_t src2_step, float alpha, const float *src3, size_t src3_step, float beta, float *dst, size_t dst_step, int m, int n, int k, int flags)
int	hal_ni_gemm64f (const double *src1, size_t src1_step, const double *src2, size_t src2_step, double alpha, const double *src3, size_t src3_step, double beta, double *dst, size_t dst_step, int m, int n, int k, int flags)
int	hal_ni_gemm64fc (const double *src1, size_t src1_step, const double *src2, size_t src2_step, double alpha, const double *src3, size_t src3_step, double beta, double *dst, size_t dst_step, int m, int n, int k, int flags)

Detailed Description

The function performs generalized matrix multiplication similar to the gemm functions in BLAS level 3: $D = \alpha*AB+\beta*C$.

Parameters

src1	pointer to input $M\times N$ matrix $A$ or $A^T$ stored in row major order.
src1_step	number of bytes between two consequent rows of matrix $A$ or $A^T$.
src2	pointer to input $N\times K$ matrix $B$ or $B^T$ stored in row major order.
src2_step	number of bytes between two consequent rows of matrix $B$ or $B^T$.
alpha	$\alpha$ multiplier before $AB$
src3	pointer to input $M\times K$ matrix $C$ or $C^T$ stored in row major order.
src3_step	number of bytes between two consequent rows of matrix $C$ or $C^T$.
beta	$\beta$ multiplier before $C$
dst	pointer to input $M\times K$ matrix $D$ stored in row major order.
dst_step	number of bytes between two consequent rows of matrix $D$.
m	number of rows in matrix $A$ or $A^T$, equals to number of rows in matrix $D$
n	number of columns in matrix $A$ or $A^T$
k	number of columns in matrix $B$ or $B^T$, equals to number of columns in matrix $D$
flags	algorithm options (combination of CV_HAL_GEMM_1_T, ...).

Function Documentation

hal_ni_gemm32f()

int hal_ni_gemm32f ( const float *  src1, size_t  src1_step, const float *  src2, size_t  src2_step, float  alpha, const float *  src3, size_t  src3_step, float  beta, float *  dst, size_t  dst_step, int  m, int  n, int  k, int  flags  )

inline

#include <core/src/hal_replacement.hpp>

Referenced by hal_ni_QR64f().

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hal_ni_gemm32fc()

int hal_ni_gemm32fc ( const float *  src1, size_t  src1_step, const float *  src2, size_t  src2_step, float  alpha, const float *  src3, size_t  src3_step, float  beta, float *  dst, size_t  dst_step, int  m, int  n, int  k, int  flags  )

inline

#include <core/src/hal_replacement.hpp>

References CV_HAL_ERROR_NOT_IMPLEMENTED.

hal_ni_gemm64f()

int hal_ni_gemm64f ( const double *  src1, size_t  src1_step, const double *  src2, size_t  src2_step, double  alpha, const double *  src3, size_t  src3_step, double  beta, double *  dst, size_t  dst_step, int  m, int  n, int  k, int  flags  )

inline

#include <core/src/hal_replacement.hpp>

References CV_HAL_ERROR_NOT_IMPLEMENTED.

hal_ni_gemm64fc()

int hal_ni_gemm64fc ( const double *  src1, size_t  src1_step, const double *  src2, size_t  src2_step, double  alpha, const double *  src3, size_t  src3_step, double  beta, double *  dst, size_t  dst_step, int  m, int  n, int  k, int  flags  )

inline

#include <core/src/hal_replacement.hpp>

References CV_HAL_ERROR_NOT_IMPLEMENTED.