hipblashgemmbatched Interface Reference

hipblashgemmbatched Interface Reference#

HIPFORT API Reference: hipfort_hipblas::hipblashgemmbatched Interface Reference

BLAS Level 3 API. More...

Public Member Functions
integer(kind(hipblas_status_success)) function	hipblashgemmbatched_ (handle, transa, transb, m, n, k, alpha, ap, lda, bp, ldb, beta, cp, ldc, batchcount)

Detailed Description

BLAS Level 3 API.

The gemmBatched functions perform one of the batched matrix-matrix operations:

 C_i = alpha*op( A_i )*op( B_i ) + beta*C_i, for i = 1, ..., batchCount.

where op( X ) is one of:

 op( X ) = X      or
 op( X ) = X**T   or
 op( X ) = X**H,

alpha and beta are scalars, and A, B , and C are strided batched matrices, with op( A ) an m by k by batchCount strided_batched matrix, op( B ) a k by n by batchCount strided_batched matrix, and C an m by n by batchCount strided_batched matrix.

Supported precisions in rocBLAS : h, s, d, c, and z.
Supported precisions in cuBLAS : h, s, d, c, and z.

Parameters

[in]	handle	- [hipblasHandle_t] handle to the hipBLAS library context queue.
[in]	transA	- [hipblasOperation_t] specifies the form of op( A ).
[in]	transB	- [hipblasOperation_t] specifies the form of op( B ).
[in]	m	- [int] matrix dimension m.
[in]	n	- [int] matrix dimension n.
[in]	k	- [int] matrix dimension k.
[in]	alpha	- device pointer or host pointer specifying the scalar alpha.
[in]	AP	- device array of device pointers storing each matrix A_i.
[in]	lda	- [int] specifies the leading dimension of each A_i.
[in]	BP	- device array of device pointers storing each matrix B_i.
[in]	ldb	- [int] specifies the leading dimension of each B_i.
[in]	beta	- device pointer or host pointer specifying the scalar beta.
[in,out]	CP	- device array of device pointers storing each matrix C_i.
[in]	ldc	- [int] specifies the leading dimension of each C_i.
[in]	batchCount	[int] number of gemm operations in the batch.

Member Function/Subroutine Documentation