batch_k_scale.hpp File Reference

EGBLAS wrappers for the batch_k_scale operation. More...

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Functions
void	etl::impl::egblas::batch_k_scale ([[maybe_unused]] size_t b, [[maybe_unused]] size_t k, [[maybe_unused]] const float *A, [[maybe_unused]] const float *gamma, [[maybe_unused]] float *B)
	Wrappers for single-precision egblas batch_k_scale operation. More...
void	etl::impl::egblas::batch_k_scale ([[maybe_unused]] size_t b, [[maybe_unused]] size_t k, [[maybe_unused]] const double *A, [[maybe_unused]] const double *gamma, [[maybe_unused]] double *B)
	Wrappers for double-precision egblas batch_k_scale operation. More...
void	etl::impl::egblas::batch_k_scale ([[maybe_unused]] size_t b, [[maybe_unused]] size_t k, [[maybe_unused]] size_t m, [[maybe_unused]] size_t n, [[maybe_unused]] const float *A, [[maybe_unused]] const float *gamma, [[maybe_unused]] float *B)
	Wrappers for single-precision egblas batch_k_scale operation. More...
void	etl::impl::egblas::batch_k_scale ([[maybe_unused]] size_t b, [[maybe_unused]] size_t k, [[maybe_unused]] size_t m, [[maybe_unused]] size_t n, [[maybe_unused]] const double *A, [[maybe_unused]] const double *gamma, [[maybe_unused]] double *B)
	Wrappers for double-precision egblas batch_k_scale operation. More...
void	etl::impl::egblas::batch_k_scale_plus ([[maybe_unused]] size_t b, [[maybe_unused]] size_t k, [[maybe_unused]] const float *A, [[maybe_unused]] const float *gamma, [[maybe_unused]] const float *beta, [[maybe_unused]] float *B)
	Wrappers for single-precision egblas batch_k_scale_plus operation. More...
void	etl::impl::egblas::batch_k_scale_plus ([[maybe_unused]] size_t b, [[maybe_unused]] size_t k, [[maybe_unused]] const double *A, [[maybe_unused]] const double *gamma, [[maybe_unused]] const double *beta, [[maybe_unused]] double *B)
	Wrappers for double-precision egblas batch_k_scale_plus operation. More...
void	etl::impl::egblas::batch_k_scale_plus ([[maybe_unused]] size_t b, [[maybe_unused]] size_t k, [[maybe_unused]] size_t m, [[maybe_unused]] size_t n, [[maybe_unused]] const float *A, [[maybe_unused]] const float *gamma, [[maybe_unused]] const float *beta, [[maybe_unused]] float *B)
	Wrappers for single-precision egblas batch_k_scale_plus operation. More...
void	etl::impl::egblas::batch_k_scale_plus ([[maybe_unused]] size_t b, [[maybe_unused]] size_t k, [[maybe_unused]] size_t m, [[maybe_unused]] size_t n, [[maybe_unused]] const double *A, [[maybe_unused]] const double *gamma, [[maybe_unused]] const double *beta, [[maybe_unused]] double *B)
	Wrappers for double-precision egblas batch_k_scale_plus operation. More...
void	etl::impl::egblas::batch_k_minus_scale ([[maybe_unused]] size_t b, [[maybe_unused]] size_t k, [[maybe_unused]] const float *A, [[maybe_unused]] const float *gamma, [[maybe_unused]] const float *beta, [[maybe_unused]] float *B)
	Wrappers for single-precision egblas batch_k_minus_scale operation. More...
void	etl::impl::egblas::batch_k_minus_scale ([[maybe_unused]] size_t b, [[maybe_unused]] size_t k, [[maybe_unused]] const double *A, [[maybe_unused]] const double *gamma, [[maybe_unused]] const double *beta, [[maybe_unused]] double *B)
	Wrappers for double-precision egblas batch_k_minus_scale operation. More...
void	etl::impl::egblas::batch_k_minus_scale ([[maybe_unused]] size_t b, [[maybe_unused]] size_t k, [[maybe_unused]] size_t m, [[maybe_unused]] size_t n, [[maybe_unused]] const float *A, [[maybe_unused]] const float *gamma, [[maybe_unused]] const float *beta, [[maybe_unused]] float *B)
	Wrappers for single-precision egblas batch_k_minus_scale operation. More...
void	etl::impl::egblas::batch_k_minus_scale ([[maybe_unused]] size_t b, [[maybe_unused]] size_t k, [[maybe_unused]] size_t m, [[maybe_unused]] size_t n, [[maybe_unused]] const double *A, [[maybe_unused]] const double *gamma, [[maybe_unused]] const double *beta, [[maybe_unused]] double *B)
	Wrappers for double-precision egblas batch_k_minus_scale operation. More...

Detailed Description

EGBLAS wrappers for the batch_k_scale operation.

Function Documentation

batch_k_minus_scale() [1/4]

void etl::impl::egblas::batch_k_minus_scale ( [[maybe_unused] ] size_t  b, [[maybe_unused] ] size_t  k, [[maybe_unused] ] const float *  A, [[maybe_unused] ] const float *  gamma, [[maybe_unused] ] const float *  beta, [[maybe_unused] ] float *  B  )

inline

Wrappers for single-precision egblas batch_k_minus_scale operation.

Parameters

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

batch_k_minus_scale() [2/4]

void etl::impl::egblas::batch_k_minus_scale ( [[maybe_unused] ] size_t  b, [[maybe_unused] ] size_t  k, [[maybe_unused] ] const double *  A, [[maybe_unused] ] const double *  gamma, [[maybe_unused] ] const double *  beta, [[maybe_unused] ] double *  B  )

inline

Wrappers for double-precision egblas batch_k_minus_scale operation.

Parameters

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

batch_k_minus_scale() [3/4]

void etl::impl::egblas::batch_k_minus_scale ( [[maybe_unused] ] size_t  b, [[maybe_unused] ] size_t  k, [[maybe_unused] ] size_t  m, [[maybe_unused] ] size_t  n, [[maybe_unused] ] const float *  A, [[maybe_unused] ] const float *  gamma, [[maybe_unused] ] const float *  beta, [[maybe_unused] ] float *  B  )

inline

Wrappers for single-precision egblas batch_k_minus_scale 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

batch_k_minus_scale() [4/4]

void etl::impl::egblas::batch_k_minus_scale ( [[maybe_unused] ] size_t  b, [[maybe_unused] ] size_t  k, [[maybe_unused] ] size_t  m, [[maybe_unused] ] size_t  n, [[maybe_unused] ] const double *  A, [[maybe_unused] ] const double *  gamma, [[maybe_unused] ] const double *  beta, [[maybe_unused] ] double *  B  )

inline

Wrappers for double-precision egblas batch_k_minus_scale 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

batch_k_scale() [1/4]

void etl::impl::egblas::batch_k_scale ( [[maybe_unused] ] size_t  b, [[maybe_unused] ] size_t  k, [[maybe_unused] ] const float *  A, [[maybe_unused] ] const float *  gamma, [[maybe_unused] ] float *  B  )

inline

Wrappers for single-precision egblas batch_k_scale operation.

Parameters

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

batch_k_scale() [2/4]

void etl::impl::egblas::batch_k_scale ( [[maybe_unused] ] size_t  b, [[maybe_unused] ] size_t  k, [[maybe_unused] ] const double *  A, [[maybe_unused] ] const double *  gamma, [[maybe_unused] ] double *  B  )

inline

Wrappers for double-precision egblas batch_k_scale operation.

Parameters

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

batch_k_scale() [3/4]

void etl::impl::egblas::batch_k_scale ( [[maybe_unused] ] size_t  b, [[maybe_unused] ] size_t  k, [[maybe_unused] ] size_t  m, [[maybe_unused] ] size_t  n, [[maybe_unused] ] const float *  A, [[maybe_unused] ] const float *  gamma, [[maybe_unused] ] float *  B  )

inline

Wrappers for single-precision egblas batch_k_scale 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

batch_k_scale() [4/4]

void etl::impl::egblas::batch_k_scale ( [[maybe_unused] ] size_t  b, [[maybe_unused] ] size_t  k, [[maybe_unused] ] size_t  m, [[maybe_unused] ] size_t  n, [[maybe_unused] ] const double *  A, [[maybe_unused] ] const double *  gamma, [[maybe_unused] ] double *  B  )

inline

Wrappers for double-precision egblas batch_k_scale 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

batch_k_scale_plus() [1/4]

void etl::impl::egblas::batch_k_scale_plus ( [[maybe_unused] ] size_t  b, [[maybe_unused] ] size_t  k, [[maybe_unused] ] const float *  A, [[maybe_unused] ] const float *  gamma, [[maybe_unused] ] const float *  beta, [[maybe_unused] ] float *  B  )

inline

Wrappers for single-precision egblas batch_k_scale_plus operation.

Parameters

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

batch_k_scale_plus() [2/4]

void etl::impl::egblas::batch_k_scale_plus ( [[maybe_unused] ] size_t  b, [[maybe_unused] ] size_t  k, [[maybe_unused] ] const double *  A, [[maybe_unused] ] const double *  gamma, [[maybe_unused] ] const double *  beta, [[maybe_unused] ] double *  B  )

inline

Wrappers for double-precision egblas batch_k_scale_plus operation.

Parameters

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

batch_k_scale_plus() [3/4]

void etl::impl::egblas::batch_k_scale_plus ( [[maybe_unused] ] size_t  b, [[maybe_unused] ] size_t  k, [[maybe_unused] ] size_t  m, [[maybe_unused] ] size_t  n, [[maybe_unused] ] const float *  A, [[maybe_unused] ] const float *  gamma, [[maybe_unused] ] const float *  beta, [[maybe_unused] ] float *  B  )

inline

Wrappers for single-precision egblas batch_k_scale_plus 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

batch_k_scale_plus() [4/4]

void etl::impl::egblas::batch_k_scale_plus ( [[maybe_unused] ] size_t  b, [[maybe_unused] ] size_t  k, [[maybe_unused] ] size_t  m, [[maybe_unused] ] size_t  n, [[maybe_unused] ] const double *  A, [[maybe_unused] ] const double *  gamma, [[maybe_unused] ] const double *  beta, [[maybe_unused] ] double *  B  )

inline

Wrappers for double-precision egblas batch_k_scale_plus 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