bias_batch_sum.hpp File Reference

EGBLAS wrappers for the bias_batch_sum operation. More...

This graph shows which files directly or indirectly include this file:

Go to the source code of this file.

Functions
void	etl::impl::egblas::bias_batch_sum ([[maybe_unused]] size_t b, [[maybe_unused]] size_t n, [[maybe_unused]] float *A, [[maybe_unused]] size_t lda, [[maybe_unused]] float *B, [[maybe_unused]] size_t ldb)
	Wrappers for single-precision egblas bias_batch_sum operation. More...
void	etl::impl::egblas::bias_batch_sum ([[maybe_unused]] size_t b, [[maybe_unused]] size_t n, [[maybe_unused]] double *A, [[maybe_unused]] size_t lda, [[maybe_unused]] double *B, [[maybe_unused]] size_t ldb)
	Wrappers for double-precision egblas bias_batch_sum operation. More...
void	etl::impl::egblas::bias_batch_mean ([[maybe_unused]] size_t b, [[maybe_unused]] size_t n, [[maybe_unused]] float *A, [[maybe_unused]] size_t lda, [[maybe_unused]] float *B, [[maybe_unused]] size_t ldb)
	Wrappers for single-precision egblas bias_batch_mean operation. More...
void	etl::impl::egblas::bias_batch_mean ([[maybe_unused]] size_t b, [[maybe_unused]] size_t n, [[maybe_unused]] double *A, [[maybe_unused]] size_t lda, [[maybe_unused]] double *B, [[maybe_unused]] size_t ldb)
	Wrappers for double-precision egblas bias_batch_mean operation. More...
void	etl::impl::egblas::bias_batch_var ([[maybe_unused]] size_t b, [[maybe_unused]] size_t n, [[maybe_unused]] float *A, [[maybe_unused]] size_t lda, [[maybe_unused]] float *B, [[maybe_unused]] size_t ldb, [[maybe_unused]] float *Y, [[maybe_unused]] size_t ldy)
	Wrappers for single-precision egblas bias_batch_var operation. More...
void	etl::impl::egblas::bias_batch_var ([[maybe_unused]] size_t b, [[maybe_unused]] size_t n, [[maybe_unused]] double *A, [[maybe_unused]] size_t lda, [[maybe_unused]] double *B, [[maybe_unused]] size_t ldb, [[maybe_unused]] double *Y, [[maybe_unused]] size_t ldy)
	Wrappers for double-precision egblas bias_batch_var operation. More...
void	etl::impl::egblas::bias_batch_sum4 ([[maybe_unused]] size_t b, [[maybe_unused]] size_t n, [[maybe_unused]] size_t w, [[maybe_unused]] size_t h, [[maybe_unused]] float *A, [[maybe_unused]] float *B)
	Wrappers for single-precision egblas bias_batch_sum operation. More...
void	etl::impl::egblas::bias_batch_mean4 ([[maybe_unused]] size_t b, [[maybe_unused]] size_t n, [[maybe_unused]] size_t w, [[maybe_unused]] size_t h, [[maybe_unused]] float *A, [[maybe_unused]] float *B)
	Wrappers for single-precision egblas bias_batch_mean operation. More...
void	etl::impl::egblas::bias_batch_sum4 ([[maybe_unused]] size_t b, [[maybe_unused]] size_t n, [[maybe_unused]] size_t w, [[maybe_unused]] size_t h, [[maybe_unused]] double *A, [[maybe_unused]] double *B)
	Wrappers for single-precision egblas bias_batch_sum operation. More...
void	etl::impl::egblas::bias_batch_mean4 ([[maybe_unused]] size_t b, [[maybe_unused]] size_t n, [[maybe_unused]] size_t w, [[maybe_unused]] size_t h, [[maybe_unused]] double *A, [[maybe_unused]] double *B)
	Wrappers for single-precision egblas bias_batch_mean operation. More...
void	etl::impl::egblas::bias_batch_var4 ([[maybe_unused]] size_t b, [[maybe_unused]] size_t n, [[maybe_unused]] size_t w, [[maybe_unused]] size_t h, [[maybe_unused]] float *A, [[maybe_unused]] float *B, [[maybe_unused]] float *Y)
	Wrappers for single-precision egblas bias_batch_var operation. More...
void	etl::impl::egblas::bias_batch_var4 ([[maybe_unused]] size_t b, [[maybe_unused]] size_t n, [[maybe_unused]] size_t w, [[maybe_unused]] size_t h, [[maybe_unused]] double *A, [[maybe_unused]] double *B, [[maybe_unused]] double *Y)
	Wrappers for single-precision egblas bias_batch_var operation. More...

Detailed Description

EGBLAS wrappers for the bias_batch_sum operation.

Function Documentation

bias_batch_mean() [1/2]

void etl::impl::egblas::bias_batch_mean ( [[maybe_unused] ] size_t  b, [[maybe_unused] ] size_t  n, [[maybe_unused] ] float *  A, [[maybe_unused] ] size_t  lda, [[maybe_unused] ] float *  B, [[maybe_unused] ] size_t  ldb  )

inline

Wrappers for single-precision egblas bias_batch_mean operation.

Parameters

b	The batch dimension of the matrix
n	The size of the output vector
A	The memory of the vector a
lda	The leading dimension of a
B	The memory of the vector b
ldb	The leading dimension of b

bias_batch_mean() [2/2]

void etl::impl::egblas::bias_batch_mean ( [[maybe_unused] ] size_t  b, [[maybe_unused] ] size_t  n, [[maybe_unused] ] double *  A, [[maybe_unused] ] size_t  lda, [[maybe_unused] ] double *  B, [[maybe_unused] ] size_t  ldb  )

inline

Wrappers for double-precision egblas bias_batch_mean operation.

Parameters

b	The batch dimension of the matrix
n	The size of the output vector
A	The memory of the vector a
lda	The leading dimension of a
B	The memory of the vector b
ldb	The leading dimension of b

bias_batch_mean4() [1/2]

void etl::impl::egblas::bias_batch_mean4 ( [[maybe_unused] ] size_t  b, [[maybe_unused] ] size_t  n, [[maybe_unused] ] size_t  w, [[maybe_unused] ] size_t  h, [[maybe_unused] ] float *  A, [[maybe_unused] ] float *  B  )

inline

Wrappers for single-precision egblas bias_batch_mean operation.

Parameters

b	The batch dimension of the matrix
n	The size of the output vector
w	The inner first dimension of the input matrix
h	The inner first dimension of the input matrix
A	The memory of the vector a
B	The memory of the vector b

bias_batch_mean4() [2/2]

void etl::impl::egblas::bias_batch_mean4 ( [[maybe_unused] ] size_t  b, [[maybe_unused] ] size_t  n, [[maybe_unused] ] size_t  w, [[maybe_unused] ] size_t  h, [[maybe_unused] ] double *  A, [[maybe_unused] ] double *  B  )

inline

Wrappers for single-precision egblas bias_batch_mean operation.

Parameters

b	The batch dimension of the matrix
n	The size of the output vector
w	The inner first dimension of the input matrix
h	The inner first dimension of the input matrix
A	The memory of the vector a
B	The memory of the vector b

bias_batch_sum() [1/2]

void etl::impl::egblas::bias_batch_sum ( [[maybe_unused] ] size_t  b, [[maybe_unused] ] size_t  n, [[maybe_unused] ] float *  A, [[maybe_unused] ] size_t  lda, [[maybe_unused] ] float *  B, [[maybe_unused] ] size_t  ldb  )

inline

Wrappers for single-precision egblas bias_batch_sum operation.

Parameters

b	The batch dimension of the matrix
n	The size of the output vector
A	The memory of the vector a
lda	The leading dimension of a
B	The memory of the vector b
ldb	The leading dimension of b

bias_batch_sum() [2/2]

void etl::impl::egblas::bias_batch_sum ( [[maybe_unused] ] size_t  b, [[maybe_unused] ] size_t  n, [[maybe_unused] ] double *  A, [[maybe_unused] ] size_t  lda, [[maybe_unused] ] double *  B, [[maybe_unused] ] size_t  ldb  )

inline

Wrappers for double-precision egblas bias_batch_sum operation.

Parameters

b	The batch dimension of the matrix
n	The size of the output vector
A	The memory of the vector a
lda	The leading dimension of a
B	The memory of the vector b
ldb	The leading dimension of b

bias_batch_sum4() [1/2]

void etl::impl::egblas::bias_batch_sum4 ( [[maybe_unused] ] size_t  b, [[maybe_unused] ] size_t  n, [[maybe_unused] ] size_t  w, [[maybe_unused] ] size_t  h, [[maybe_unused] ] float *  A, [[maybe_unused] ] float *  B  )

inline

Wrappers for single-precision egblas bias_batch_sum operation.

Parameters

b	The batch dimension of the matrix
n	The size of the output vector
w	The inner first dimension of the input matrix
h	The inner first dimension of the input matrix
A	The memory of the vector a
B	The memory of the vector b

bias_batch_sum4() [2/2]

void etl::impl::egblas::bias_batch_sum4 ( [[maybe_unused] ] size_t  b, [[maybe_unused] ] size_t  n, [[maybe_unused] ] size_t  w, [[maybe_unused] ] size_t  h, [[maybe_unused] ] double *  A, [[maybe_unused] ] double *  B  )

inline

Wrappers for single-precision egblas bias_batch_sum operation.

Parameters

b	The batch dimension of the matrix
n	The size of the output vector
w	The inner first dimension of the input matrix
h	The inner first dimension of the input matrix
A	The memory of the vector a
B	The memory of the vector b

bias_batch_var() [1/2]

void etl::impl::egblas::bias_batch_var ( [[maybe_unused] ] size_t  b, [[maybe_unused] ] size_t  n, [[maybe_unused] ] float *  A, [[maybe_unused] ] size_t  lda, [[maybe_unused] ] float *  B, [[maybe_unused] ] size_t  ldb, [[maybe_unused] ] float *  Y, [[maybe_unused] ] size_t  ldy  )

inline

Wrappers for single-precision egblas bias_batch_var operation.

Parameters

b	The batch dimension of the matrix
n	The size of the output vector
A	The memory of the vector a
lda	The leading dimension of a
B	The memory of the vector b
ldb	The leading dimension of b

bias_batch_var() [2/2]

void etl::impl::egblas::bias_batch_var ( [[maybe_unused] ] size_t  b, [[maybe_unused] ] size_t  n, [[maybe_unused] ] double *  A, [[maybe_unused] ] size_t  lda, [[maybe_unused] ] double *  B, [[maybe_unused] ] size_t  ldb, [[maybe_unused] ] double *  Y, [[maybe_unused] ] size_t  ldy  )

inline

Wrappers for double-precision egblas bias_batch_var operation.

Parameters

b	The batch dimension of the matrix
n	The size of the output vector
A	The memory of the vector a
lda	The leading dimension of a
B	The memory of the vector b
ldb	The leading dimension of b

bias_batch_var4() [1/2]

void etl::impl::egblas::bias_batch_var4 ( [[maybe_unused] ] size_t  b, [[maybe_unused] ] size_t  n, [[maybe_unused] ] size_t  w, [[maybe_unused] ] size_t  h, [[maybe_unused] ] float *  A, [[maybe_unused] ] float *  B, [[maybe_unused] ] float *  Y  )

inline

Wrappers for single-precision egblas bias_batch_var operation.

Parameters

b	The batch dimension of the matrix
n	The size of the output vector
w	The inner first dimension of the input matrix
h	The inner first dimension of the input matrix
A	The memory of the vector a
B	The memory of the vector b

bias_batch_var4() [2/2]

void etl::impl::egblas::bias_batch_var4 ( [[maybe_unused] ] size_t  b, [[maybe_unused] ] size_t  n, [[maybe_unused] ] size_t  w, [[maybe_unused] ] size_t  h, [[maybe_unused] ] double *  A, [[maybe_unused] ] double *  B, [[maybe_unused] ] double *  Y  )

inline

Wrappers for single-precision egblas bias_batch_var operation.

Parameters

b	The batch dimension of the matrix
n	The size of the output vector
w	The inner first dimension of the input matrix
h	The inner first dimension of the input matrix
A	The memory of the vector a
B	The memory of the vector b