hipblaszgemvstridedbatched Interface Reference

• hipfort_hipblas
• hipblaszgemvstridedbatched

Public Member Functions | List of all members

hipfort_hipblas::hipblaszgemvstridedbatched Interface Reference

BLAS Level 2 API. More...

Public Member Functions
integer(kind(hipblas_status_success)) function	hipblaszgemvstridedbatched_ (handle, trans, m, n, alpha, A, lda, strideA, x, incx, stridex, beta, y, incy, stridey, batchCount)
integer(kind(hipblas_status_success)) function	hipblaszgemvstridedbatched_full_rank (handle, trans, m, n, alpha, A, lda, strideA, x, incx, stridex, beta, y, incy, stridey, batchCount)
integer(kind(hipblas_status_success)) function	hipblaszgemvstridedbatched_rank_0 (handle, trans, m, n, alpha, A, lda, strideA, x, incx, stridex, beta, y, incy, stridey, batchCount)
integer(kind(hipblas_status_success)) function	hipblaszgemvstridedbatched_rank_1 (handle, trans, m, n, alpha, A, lda, strideA, x, incx, stridex, beta, y, incy, stridey, batchCount)

Detailed Description

BLAS Level 2 API.

gemvStridedBatched performs a batch of matrix-vector operations

y_i := alpha*A_i*x_i    + beta*y_i,   or
y_i := alpha*A_i**T*x_i + beta*y_i,   or
y_i := alpha*A_i**H*x_i + beta*y_i,

where (A_i, x_i, y_i) is the i-th instance of the batch. alpha and beta are scalars, x_i and y_i are vectors and A_i is an m by n matrix, for i = 1, ..., batchCount.

Parameters

[in]	handle	[hipblasHandle_t] handle to the hipblas library context queue.
[in]	transA	[hipblasOperation_t] indicates whether matrices A_i are tranposed (conjugated) or not
[in]	m	[int] number of rows of matrices A_i
[in]	n	[int] number of columns of matrices A_i
[in]	alpha	device pointer or host pointer to scalar alpha.
[in]	A	device pointer to the first matrix (A_1) in the batch.
[in]	lda	[int] specifies the leading dimension of matrices A_i.
[in]	strideA	[hipblasStride] stride from the start of one matrix (A_i) and the next one (A_i+1)
[in]	x	device pointer to the first vector (x_1) in the batch.
[in]	incx	[int] specifies the increment for the elements of vectors x_i.
[in]	stridex	[hipblasStride] stride from the start of one vector (x_i) and the next one (x_i+1). There are no restrictions placed on stridex, however the user should take care to ensure that stridex is of appropriate size. When trans equals HIPBLAS_OP_N this typically means stridex >= n * incx, otherwise stridex >= m * incx.
[in]	beta	device pointer or host pointer to scalar beta.
[in,out]	y	device pointer to the first vector (y_1) in the batch.
[in]	incy	[int] specifies the increment for the elements of vectors y_i.
[in]	stridey	[hipblasStride] stride from the start of one vector (y_i) and the next one (y_i+1). There are no restrictions placed on stridey, however the user should take care to ensure that stridey is of appropriate size. When trans equals HIPBLAS_OP_N this typically means stridey >= m * incy, otherwise stridey >= n * incy. stridey should be non zero.
[in]	batchCount	[int] number of instances in the batch

Member Function/Subroutine Documentation

◆ hipblaszgemvstridedbatched_()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszgemvstridedbatched::hipblaszgemvstridedbatched_	(	type(c_ptr), value	handle,
		integer(kind(hipblas_op_n)), value	trans,
		integer(c_int), value	m,
		integer(c_int), value	n,
		complex(c_double_complex)	alpha,
		type(c_ptr), value	A,
		integer(c_int), value	lda,
		integer(c_int64_t), value	strideA,
		type(c_ptr), value	x,
		integer(c_int), value	incx,
		integer(c_int64_t), value	stridex,
		complex(c_double_complex)	beta,
		type(c_ptr), value	y,
		integer(c_int), value	incy,
		integer(c_int64_t), value	stridey,
		integer(c_int), value	batchCount
	)

◆ hipblaszgemvstridedbatched_full_rank()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszgemvstridedbatched::hipblaszgemvstridedbatched_full_rank	(	type(c_ptr)	handle,
		integer(kind(hipblas_op_n))	trans,
		integer(c_int)	m,
		integer(c_int)	n,
		complex(c_double_complex)	alpha,
		complex(c_double_complex), dimension(:,:), target	A,
		integer(c_int)	lda,
		integer(c_int64_t)	strideA,
		complex(c_double_complex), dimension(:), target	x,
		integer(c_int)	incx,
		integer(c_int64_t)	stridex,
		complex(c_double_complex)	beta,
		complex(c_double_complex), dimension(:), target	y,
		integer(c_int)	incy,
		integer(c_int64_t)	stridey,
		integer(c_int)	batchCount
	)

◆ hipblaszgemvstridedbatched_rank_0()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszgemvstridedbatched::hipblaszgemvstridedbatched_rank_0	(	type(c_ptr)	handle,
		integer(kind(hipblas_op_n))	trans,
		integer(c_int)	m,
		integer(c_int)	n,
		complex(c_double_complex)	alpha,
		complex(c_double_complex), target	A,
		integer(c_int)	lda,
		integer(c_int64_t)	strideA,
		complex(c_double_complex), target	x,
		integer(c_int)	incx,
		integer(c_int64_t)	stridex,
		complex(c_double_complex)	beta,
		complex(c_double_complex), target	y,
		integer(c_int)	incy,
		integer(c_int64_t)	stridey,
		integer(c_int)	batchCount
	)

◆ hipblaszgemvstridedbatched_rank_1()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszgemvstridedbatched::hipblaszgemvstridedbatched_rank_1	(	type(c_ptr)	handle,
		integer(kind(hipblas_op_n))	trans,
		integer(c_int)	m,
		integer(c_int)	n,
		complex(c_double_complex)	alpha,
		complex(c_double_complex), dimension(:), target	A,
		integer(c_int)	lda,
		integer(c_int64_t)	strideA,
		complex(c_double_complex), dimension(:), target	x,
		integer(c_int)	incx,
		integer(c_int64_t)	stridex,
		complex(c_double_complex)	beta,
		complex(c_double_complex), dimension(:), target	y,
		integer(c_int)	incy,
		integer(c_int64_t)	stridey,
		integer(c_int)	batchCount
	)

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

• hipfort_hipblas.f