hipblasssbmvstridedbatched Interface Reference

• hipfort_hipblas
• hipblasssbmvstridedbatched

Public Member Functions | List of all members

hipfort_hipblas::hipblasssbmvstridedbatched Interface Reference

BLAS Level 2 API. More...

Public Member Functions
integer(kind(hipblas_status_success)) function	hipblasssbmvstridedbatched_ (handle, uplo, n, k, alpha, ap, lda, stridea, x, incx, stridex, beta, y, incy, stridey, batchcount)
integer(kind(hipblas_status_success)) function	hipblasssbmvstridedbatched_rank_0 (handle, uplo, n, k, alpha, ap, lda, stridea, x, incx, stridex, beta, y, incy, stridey, batchcount)
integer(kind(hipblas_status_success)) function	hipblasssbmvstridedbatched_rank_1 (handle, uplo, n, k, alpha, ap, lda, stridea, x, incx, stridex, beta, y, incy, stridey, batchcount)
integer(kind(hipblas_status_success)) function	hipblasssbmvstridedbatched_full_rank (handle, uplo, n, k, alpha, ap, lda, stridea, x, incx, stridex, beta, y, incy, stridey, batchcount)

Detailed Description

BLAS Level 2 API.

The sbmvStridedBatched functions perform the matrix-vector operation:

y_i := alpha*A_i*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 n by n symmetric banded matrix, for i = 1, ..., batchCount. A should contain an upper or lower triangular n by n symmetric banded matrix.

• Supported precisions in rocBLAS : s and d.
• Supported precisions in cuBLAS : No support.

Parameters

[in]	handle	- [hipblasHandle_t] handle to the hipBLAS library context queue.
[in]	uplo	- [hipblasFillMode_t] specifies either upper (HIPBLAS_FILL_MODE_UPPER) or lower (HIPBLAS_FILL_MODE_LOWER): If HIPBLAS_FILL_MODE_UPPER, the lower part of A is not referenced. If HIPBLAS_FILL_MODE_LOWER, the upper part of A is not referenced.
[in]	n	- [int] number of rows and columns of each matrix A_i.
[in]	k	- [int] specifies the number of sub- and super-diagonals.
[in]	alpha	device pointer or host pointer to scalar alpha.
[in]	AP	- device pointer to the first matrix A_1 on the GPU.
[in]	lda	- [int] specifies the leading dimension of each matrix A_i.
[in]	strideA	- [hipblasStride] stride from the start of one matrix (A_i) to the next one (A_i+1).
[in]	x	- device pointer to the first vector x_1 on the GPU.
[in]	incx	- [int] specifies the increment for the elements of each vector x_i.
[in]	stridex	- [hipblasStride] stride from the start of one vector (x_i) to the next one (x_i+1). There are no restrictions placed on stridex. However, the user should ensure that stridex is of an appropriate size. This typically means stridex >= n * incx. stridex should be non zero.
[in]	beta	- device pointer or host pointer to scalar beta.
[out]	y	- device pointer to the first vector y_1 on the GPU.
[in]	incy	- [int] specifies the increment for the elements of each vector y_i.
[in]	stridey	- [hipblasStride] stride from the start of one vector (y_i) to the next one (y_i+1). There are no restrictions placed on stridey. However, the user should ensure that stridey is of an appropriate size. This typically means stridey >= n * incy. stridey should be non zero.
[in]	batchCount	- [int] number of instances in the batch.

Member Function/Subroutine Documentation

◆ hipblasssbmvstridedbatched_()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblasssbmvstridedbatched::hipblasssbmvstridedbatched_	(	type(c_ptr), value	handle,
		integer(kind(hipblas_fill_mode_upper)), value	uplo,
		integer(c_int), value	n,
		integer(c_int), value	k,
		real(c_float)	alpha,
		type(c_ptr), value	ap,
		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,
		real(c_float)	beta,
		type(c_ptr), value	y,
		integer(c_int), value	incy,
		integer(c_int64_t), value	stridey,
		integer(c_int), value	batchcount
	)

◆ hipblasssbmvstridedbatched_full_rank()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblasssbmvstridedbatched::hipblasssbmvstridedbatched_full_rank	(	type(c_ptr)	handle,
		integer(kind(hipblas_fill_mode_upper))	uplo,
		integer(c_int)	n,
		integer(c_int)	k,
		real(c_float)	alpha,
		real(c_float), dimension(:,:), target	ap,
		integer(c_int)	lda,
		integer(c_int64_t)	stridea,
		real(c_float), dimension(:), target	x,
		integer(c_int)	incx,
		integer(c_int64_t)	stridex,
		real(c_float)	beta,
		real(c_float), dimension(:), target	y,
		integer(c_int)	incy,
		integer(c_int64_t)	stridey,
		integer(c_int)	batchcount
	)

◆ hipblasssbmvstridedbatched_rank_0()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblasssbmvstridedbatched::hipblasssbmvstridedbatched_rank_0	(	type(c_ptr)	handle,
		integer(kind(hipblas_fill_mode_upper))	uplo,
		integer(c_int)	n,
		integer(c_int)	k,
		real(c_float)	alpha,
		real(c_float), target	ap,
		integer(c_int)	lda,
		integer(c_int64_t)	stridea,
		real(c_float), target	x,
		integer(c_int)	incx,
		integer(c_int64_t)	stridex,
		real(c_float)	beta,
		real(c_float), target	y,
		integer(c_int)	incy,
		integer(c_int64_t)	stridey,
		integer(c_int)	batchcount
	)

◆ hipblasssbmvstridedbatched_rank_1()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblasssbmvstridedbatched::hipblasssbmvstridedbatched_rank_1	(	type(c_ptr)	handle,
		integer(kind(hipblas_fill_mode_upper))	uplo,
		integer(c_int)	n,
		integer(c_int)	k,
		real(c_float)	alpha,
		real(c_float), dimension(:), target	ap,
		integer(c_int)	lda,
		integer(c_int64_t)	stridea,
		real(c_float), dimension(:), target	x,
		integer(c_int)	incx,
		integer(c_int64_t)	stridex,
		real(c_float)	beta,
		real(c_float), 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.F90