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/* ************************************************************************
* Copyright (C) 2016-2023 Advanced Micro Devices, Inc. All rights reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell cop-
* ies of the Software, and to permit persons to whom the Software is furnished
* to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IM-
* PLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
* FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
* COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
* IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNE-
* CTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
*
* ************************************************************************ */
#ifndef ROCBLAS_BETA_H
#define ROCBLAS_BETA_H
#include "rocblas-auxiliary.h"
#include "rocblas-export.h"
#include "rocblas-types.h"
/*!\file
* \brief rocblas_functions.h provides Basic Linear Algebra Subprograms of Level 1, 2 and 3,
* using HIP optimized for AMD HCC-based GPU hardware. This library can also run on CUDA-based
* NVIDIA GPUs.
* This file exposes C99 BLAS interface
*/
/*
* ===========================================================================
* README: Please follow the naming convention
* Big case for matrix, e.g. matrix A, B, C GEMM (C = A*B)
* Lower case for vector, e.g. vector x, y GEMV (y = A*x)
* ===========================================================================
*/
#ifdef __cplusplus
extern "C" {
#endif
ROCBLAS_DEPRECATED_MSG(
"rocblas_gemm_ex_get_solutions is a beta feature and is subject to change in future releases")
/*! @{
\brief <b> BLAS BETA API </b>
\details
gemm_ex_get_solutions gets the indices for all the solutions that can solve a corresponding
call to gemm_ex. Which solution is used by gemm_ex is controlled by the solution_index
parameter.
All parameters correspond to gemm_ex except for list_array and list_size, which are used as
input and output for getting the solution indices. If list_array is NULL, list_size is an
output and will be filled with the number of solutions that can solve the GEMM. If list_array
is not NULL, then it must be pointing to an array with at least list_size elements and will
be filled with the solution indices that can solve the GEMM: the number of elements filled is
min(list_size, # of solutions).
@param[in]
handle [rocblas_handle]
handle to the rocblas library context queue.
@param[in]
transA [rocblas_operation]
specifies the form of op( A ).
@param[in]
transB [rocblas_operation]
specifies the form of op( B ).
@param[in]
m [rocblas_int]
matrix dimension m.
@param[in]
n [rocblas_int]
matrix dimension n.
@param[in]
k [rocblas_int]
matrix dimension k.
@param[in]
alpha [const void *]
device pointer or host pointer specifying the scalar alpha. Same datatype as compute_type.
@param[in]
a [void *]
device pointer storing matrix A.
@param[in]
a_type [rocblas_datatype]
specifies the datatype of matrix A.
@param[in]
lda [rocblas_int]
specifies the leading dimension of A.
@param[in]
b [void *]
device pointer storing matrix B.
@param[in]
b_type [rocblas_datatype]
specifies the datatype of matrix B.
@param[in]
ldb [rocblas_int]
specifies the leading dimension of B.
@param[in]
beta [const void *]
device pointer or host pointer specifying the scalar beta. Same datatype as compute_type.
@param[in]
c [void *]
device pointer storing matrix C.
@param[in]
c_type [rocblas_datatype]
specifies the datatype of matrix C.
@param[in]
ldc [rocblas_int]
specifies the leading dimension of C.
@param[out]
d [void *]
device pointer storing matrix D.
If d and c pointers are to the same matrix then d_type must equal c_type and ldd must equal ldc
or the respective invalid status will be returned.
@param[in]
d_type [rocblas_datatype]
specifies the datatype of matrix D.
@param[in]
ldd [rocblas_int]
specifies the leading dimension of D.
@param[in]
compute_type
[rocblas_datatype]
specifies the datatype of computation.
@param[in]
algo [rocblas_gemm_algo]
enumerant specifying the algorithm type.
@param[in]
flags [uint32_t]
optional gemm flags.
@param[out]
list_array [rocblas_int *]
output array for solution indices or NULL if getting number of solutions
@param[in,out]
list_size [rocblas_int *]
size of list_array if getting solution indices or output with number of solutions
if list_array is NULL
********************************************************************/
ROCBLAS_EXPORT rocblas_status rocblas_gemm_ex_get_solutions(rocblas_handle handle,
rocblas_operation transA,
rocblas_operation transB,
rocblas_int m,
rocblas_int n,
rocblas_int k,
const void* alpha,
const void* a,
rocblas_datatype a_type,
rocblas_int lda,
const void* b,
rocblas_datatype b_type,
rocblas_int ldb,
const void* beta,
const void* c,
rocblas_datatype c_type,
rocblas_int ldc,
void* d,
rocblas_datatype d_type,
rocblas_int ldd,
rocblas_datatype compute_type,
rocblas_gemm_algo algo,
uint32_t flags,
rocblas_int* list_array,
rocblas_int* list_size);
ROCBLAS_DEPRECATED_MSG(
"rocblas_gemm_batched_ex_get_solutions is a beta feature and is subject to change "
"in future releases")
/*! @{
\brief <b> BLAS BETA API </b>
\details
rocblas_gemm_batched_ex_get_solutions gets the indices for all the solutions that can solve a
corresponding call to gemm_batched_ex. Which solution is used by gemm_batched_ex is
controlled by the solution_index parameter.
All parameters correspond to gemm_batched_ex except for list_array and list_size, which are
used as input and output for getting the solution indices. If list_array is NULL, list_size is
an output and will be filled with the number of solutions that can solve the GEMM. If
list_array is not NULL, then it must be pointing to an array with at least list_size elements
and will be filled with the solution indices that can solve the GEMM: the number of elements
filled is min(list_size, # of solutions).
@param[in]
handle [rocblas_handle]
handle to the rocblas library context queue.
@param[in]
transA [rocblas_operation]
specifies the form of op( A ).
@param[in]
transB [rocblas_operation]
specifies the form of op( B ).
@param[in]
m [rocblas_int]
matrix dimension m.
@param[in]
n [rocblas_int]
matrix dimension n.
@param[in]
k [rocblas_int]
matrix dimension k.
@param[in]
alpha [const void *]
device pointer or host pointer specifying the scalar alpha. Same datatype as compute_type.
@param[in]
a [void *]
device pointer storing array of pointers to each matrix A_i.
@param[in]
a_type [rocblas_datatype]
specifies the datatype of each matrix A_i.
@param[in]
lda [rocblas_int]
specifies the leading dimension of each A_i.
@param[in]
b [void *]
device pointer storing array of pointers to each matrix B_i.
@param[in]
b_type [rocblas_datatype]
specifies the datatype of each matrix B_i.
@param[in]
ldb [rocblas_int]
specifies the leading dimension of each B_i.
@param[in]
beta [const void *]
device pointer or host pointer specifying the scalar beta. Same datatype as compute_type.
@param[in]
c [void *]
device array of device pointers to each matrix C_i.
@param[in]
c_type [rocblas_datatype]
specifies the datatype of each matrix C_i.
@param[in]
ldc [rocblas_int]
specifies the leading dimension of each C_i.
@param[out]
d [void *]
device array of device pointers to each matrix D_i.
If d and c are the same array of matrix pointers then d_type must equal c_type and ldd must equal ldc
or the respective invalid status will be returned.
@param[in]
d_type [rocblas_datatype]
specifies the datatype of each matrix D_i.
@param[in]
ldd [rocblas_int]
specifies the leading dimension of each D_i.
@param[in]
batch_count
[rocblas_int]
number of gemm operations in the batch.
@param[in]
compute_type
[rocblas_datatype]
specifies the datatype of computation.
@param[in]
algo [rocblas_gemm_algo]
enumerant specifying the algorithm type.
@param[in]
flags [uint32_t]
optional gemm flags.
@param[out]
list_array [rocblas_int *]
output array for solution indices or NULL if getting number of solutions
@param[in,out]
list_size [rocblas_int *]
size of list_array if getting solution indices or output with number of solutions
if list_array is NULL
********************************************************************/
ROCBLAS_EXPORT rocblas_status rocblas_gemm_batched_ex_get_solutions(rocblas_handle handle,
rocblas_operation transA,
rocblas_operation transB,
rocblas_int m,
rocblas_int n,
rocblas_int k,
const void* alpha,
const void* a,
rocblas_datatype a_type,
rocblas_int lda,
const void* b,
rocblas_datatype b_type,
rocblas_int ldb,
const void* beta,
const void* c,
rocblas_datatype c_type,
rocblas_int ldc,
void* d,
rocblas_datatype d_type,
rocblas_int ldd,
rocblas_int batch_count,
rocblas_datatype compute_type,
rocblas_gemm_algo algo,
uint32_t flags,
rocblas_int* list_array,
rocblas_int* list_size);
ROCBLAS_DEPRECATED_MSG(
"rocblas_gemm_strided_batched_ex_get_solutions is a beta feature and is subject "
"to change in future releases")
/*! @{
\brief <b> BLAS BETA API </b>
\details
gemm_strided_batched_ex_get_solutions gets the indices for all the solutions that can solve a
corresponding call to gemm_strided_batched_ex. Which solution is used by
gemm_strided_batched_ex is controlled by the solution_index parameter.
All parameters correspond to gemm_strided_batched_ex except for list_array and list_size,
which are used as input and output for getting the solution indices. If list_array is NULL,
list_size is an output and will be filled with the number of solutions that can solve the
GEMM. If list_array is not NULL, then it must be pointing to an array with at least list_size
elements and will be filled with the solution indices that can solve the GEMM: the number of
elements filled is min(list_size, # of solutions).
@param[in]
handle [rocblas_handle]
handle to the rocblas library context queue.
@param[in]
transA [rocblas_operation]
specifies the form of op( A ).
@param[in]
transB [rocblas_operation]
specifies the form of op( B ).
@param[in]
m [rocblas_int]
matrix dimension m.
@param[in]
n [rocblas_int]
matrix dimension n.
@param[in]
k [rocblas_int]
matrix dimension k.
@param[in]
alpha [const void *]
device pointer or host pointer specifying the scalar alpha. Same datatype as compute_type.
@param[in]
a [void *]
device pointer pointing to first matrix A_1.
@param[in]
a_type [rocblas_datatype]
specifies the datatype of each matrix A_i.
@param[in]
lda [rocblas_int]
specifies the leading dimension of each A_i.
@param[in]
stride_a [rocblas_stride]
specifies stride from start of one A_i matrix to the next A_(i + 1).
@param[in]
b [void *]
device pointer pointing to first matrix B_1.
@param[in]
b_type [rocblas_datatype]
specifies the datatype of each matrix B_i.
@param[in]
ldb [rocblas_int]
specifies the leading dimension of each B_i.
@param[in]
stride_b [rocblas_stride]
specifies stride from start of one B_i matrix to the next B_(i + 1).
@param[in]
beta [const void *]
device pointer or host pointer specifying the scalar beta. Same datatype as compute_type.
@param[in]
c [void *]
device pointer pointing to first matrix C_1.
@param[in]
c_type [rocblas_datatype]
specifies the datatype of each matrix C_i.
@param[in]
ldc [rocblas_int]
specifies the leading dimension of each C_i.
@param[in]
stride_c [rocblas_stride]
specifies stride from start of one C_i matrix to the next C_(i + 1).
@param[out]
d [void *]
device pointer storing each matrix D_i.
If d and c pointers are to the same matrix then d_type must equal c_type and ldd must equal ldc
and stride_d must equal stride_c or the respective invalid status will be returned.
@param[in]
d_type [rocblas_datatype]
specifies the datatype of each matrix D_i.
@param[in]
ldd [rocblas_int]
specifies the leading dimension of each D_i.
@param[in]
stride_d [rocblas_stride]
specifies stride from start of one D_i matrix to the next D_(i + 1).
@param[in]
batch_count
[rocblas_int]
number of gemm operations in the batch.
@param[in]
compute_type
[rocblas_datatype]
specifies the datatype of computation.
@param[in]
algo [rocblas_gemm_algo]
enumerant specifying the algorithm type.
@param[in]
flags [uint32_t]
optional gemm flags.
@param[out]
list_array [rocblas_int *]
output array for solution indices or NULL if getting number of solutions
@param[in,out]
list_size [rocblas_int *]
size of list_array if getting solution indices or output with number of solutions
if list_array is NULL
********************************************************************/
ROCBLAS_EXPORT rocblas_status
rocblas_gemm_strided_batched_ex_get_solutions(rocblas_handle handle,
rocblas_operation transA,
rocblas_operation transB,
rocblas_int m,
rocblas_int n,
rocblas_int k,
const void* alpha,
const void* a,
rocblas_datatype a_type,
rocblas_int lda,
rocblas_stride stride_a,
const void* b,
rocblas_datatype b_type,
rocblas_int ldb,
rocblas_stride stride_b,
const void* beta,
const void* c,
rocblas_datatype c_type,
rocblas_int ldc,
rocblas_stride stride_c,
void* d,
rocblas_datatype d_type,
rocblas_int ldd,
rocblas_stride stride_d,
rocblas_int batch_count,
rocblas_datatype compute_type,
rocblas_gemm_algo algo,
uint32_t flags,
rocblas_int* list_array,
rocblas_int* list_size);
#ifdef __cplusplus
}
#endif
#endif /* ROCBLAS_BETA_H */
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