rocblas_ssymm_strided_batched Interface Reference

• hipfort_rocblas
• rocblas_ssymm_strided_batched

Public Member Functions | List of all members

hipfort_rocblas::rocblas_ssymm_strided_batched Interface Reference

BLAS Level 3 API. More...

Public Member Functions
integer(kind(rocblas_status_success)) function	rocblas_ssymm_strided_batched_ (handle, side, uplo, m, n, alpha, a, lda, stride_a, b, ldb, stride_b, beta, c, ldc, stride_c, batch_count)
integer(kind(rocblas_status_success)) function	rocblas_ssymm_strided_batched_rank_0 (handle, side, uplo, m, n, alpha, a, lda, stride_a, b, ldb, stride_b, beta, c, ldc, stride_c, batch_count)
integer(kind(rocblas_status_success)) function	rocblas_ssymm_strided_batched_rank_1 (handle, side, uplo, m, n, alpha, a, lda, stride_a, b, ldb, stride_b, beta, c, ldc, stride_c, batch_count)
integer(kind(rocblas_status_success)) function	rocblas_ssymm_strided_batched_full_rank (handle, side, uplo, m, n, alpha, a, lda, stride_a, b, ldb, stride_b, beta, c, ldc, stride_c, batch_count)

Detailed Description

BLAS Level 3 API.

The symm_strided_batched functions perform a batch of the matrix-matrix operations:

C_i := alpha*A_i*B_i + beta*C_i if side == rocblas_side_left,
C_i := alpha*B_i*A_i + beta*C_i if side == rocblas_side_right,

where alpha and beta are scalars, B_i and C_i are m by n matrices, and A_i is a symmetric matrix stored as either upper or lower.

Parameters

[in]	handle	- [rocblas_handle] handle to the rocBLAS library context queue.
[in]	side	- [rocblas_side] rocblas_side_left: C_i := alpha*A_i*B_i + beta*C_i rocblas_side_right: C_i := alpha*B_i*A_i + beta*C_i
[in]	uplo	- [rocblas_fill] rocblas_fill_upper: A_i is an upper triangular matrix. rocblas_fill_lower: A_i is a lower triangular matrix.
[in]	m	- [rocblas_int] m specifies the number of rows of B_i and C_i. m >= 0.
[in]	n	- [rocblas_int] n specifies the number of columns of B_i and C_i. n >= 0.
[in]	alpha	alpha specifies the scalar alpha. When alpha is zero, A_i and B_i are not referenced.
[in]	A	- device pointer to first matrix A_1. A_i is m by m if side == rocblas_side_left. A_i is n by n if side == rocblas_side_right. Only the upper/lower triangular part is accessed.
[in]	lda	- [rocblas_int] lda specifies the first dimension of A_i. If side = rocblas_side_left, lda >= max( 1, m ). Otherwise, lda >= max( 1, n ).
[in]	stride_A	- [rocblas_stride] stride from the start of one matrix (A_i) to the next one (A_i+1).
[in]	B	- device pointer to first matrix B_1 of dimension (ldb, n) on the GPU.
[in]	ldb	- [rocblas_int] ldb specifies the first dimension of B_i. ldb >= max( 1, m ).
[in]	stride_B	- [rocblas_stride] stride from the start of one matrix (B_i) to the next one (B_i+1).
[in]	beta	beta specifies the scalar beta. When beta is zero, then C need not be set before entry.
[in]	C	- device pointer to first matrix C_1 of dimension (ldc, n) on the GPU.
[in]	ldc	- [rocblas_int] ldc specifies the first dimension of C. ldc >= max( 1, m ).
[in,out]	stride_C	- [rocblas_stride] stride from the start of one matrix (C_i) to the next one (C_i+1).
[in]	batch_count	- [rocblas_int] number of instances in the batch.

Member Function/Subroutine Documentation

◆ rocblas_ssymm_strided_batched_()

integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_ssymm_strided_batched::rocblas_ssymm_strided_batched_	(	type(c_ptr), value	handle,
		integer(kind(rocblas_side_left)), value	side,
		integer(kind(rocblas_fill_upper)), value	uplo,
		integer(c_int), value	m,
		integer(c_int), value	n,
		real(c_float)	alpha,
		type(c_ptr), value	a,
		integer(c_int), value	lda,
		integer(c_int64_t), value	stride_a,
		type(c_ptr), value	b,
		integer(c_int), value	ldb,
		integer(c_int64_t), value	stride_b,
		real(c_float)	beta,
		type(c_ptr), value	c,
		integer(c_int), value	ldc,
		integer(c_int64_t), value	stride_c,
		integer(c_int), value	batch_count
	)

◆ rocblas_ssymm_strided_batched_full_rank()

integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_ssymm_strided_batched::rocblas_ssymm_strided_batched_full_rank	(	type(c_ptr)	handle,
		integer(kind(rocblas_side_left))	side,
		integer(kind(rocblas_fill_upper))	uplo,
		integer(c_int)	m,
		integer(c_int)	n,
		real(c_float)	alpha,
		real(c_float), dimension(:,:), target	a,
		integer(c_int)	lda,
		integer(c_int64_t)	stride_a,
		real(c_float), dimension(:,:), target	b,
		integer(c_int)	ldb,
		integer(c_int64_t)	stride_b,
		real(c_float)	beta,
		real(c_float), dimension(:,:), target	c,
		integer(c_int)	ldc,
		integer(c_int64_t)	stride_c,
		integer(c_int)	batch_count
	)

◆ rocblas_ssymm_strided_batched_rank_0()

integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_ssymm_strided_batched::rocblas_ssymm_strided_batched_rank_0	(	type(c_ptr)	handle,
		integer(kind(rocblas_side_left))	side,
		integer(kind(rocblas_fill_upper))	uplo,
		integer(c_int)	m,
		integer(c_int)	n,
		real(c_float)	alpha,
		real(c_float), target	a,
		integer(c_int)	lda,
		integer(c_int64_t)	stride_a,
		real(c_float), target	b,
		integer(c_int)	ldb,
		integer(c_int64_t)	stride_b,
		real(c_float)	beta,
		real(c_float), target	c,
		integer(c_int)	ldc,
		integer(c_int64_t)	stride_c,
		integer(c_int)	batch_count
	)

◆ rocblas_ssymm_strided_batched_rank_1()

integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_ssymm_strided_batched::rocblas_ssymm_strided_batched_rank_1	(	type(c_ptr)	handle,
		integer(kind(rocblas_side_left))	side,
		integer(kind(rocblas_fill_upper))	uplo,
		integer(c_int)	m,
		integer(c_int)	n,
		real(c_float)	alpha,
		real(c_float), dimension(:), target	a,
		integer(c_int)	lda,
		integer(c_int64_t)	stride_a,
		real(c_float), dimension(:), target	b,
		integer(c_int)	ldb,
		integer(c_int64_t)	stride_b,
		real(c_float)	beta,
		real(c_float), dimension(:), target	c,
		integer(c_int)	ldc,
		integer(c_int64_t)	stride_c,
		integer(c_int)	batch_count
	)

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The documentation for this interface was generated from the following file:

• hipfort_rocblas.F90