rocblas_stpmv_strided_batched Interface Reference

rocblas_stpmv_strided_batched Interface Reference#

HIPFORT API Reference: hipfort_rocblas::rocblas_stpmv_strided_batched Interface Reference

BLAS Level 2 API. More...

Public Member Functions
integer(kind(rocblas_status_success)) function	rocblas_stpmv_strided_batched_ (handle, uplo, transa, diag, n, a, stride_a, x, incx, stride_x, batch_count)

integer(kind(rocblas_status_success)) function	rocblas_stpmv_strided_batched_rank_0 (handle, uplo, transa, diag, n, a, stride_a, x, incx, stride_x, batch_count)

integer(kind(rocblas_status_success)) function	rocblas_stpmv_strided_batched_rank_1 (handle, uplo, transa, diag, n, a, stride_a, x, incx, stride_x, batch_count)

Detailed Description

BLAS Level 2 API.

The tpmv_strided_batched functions perform one of the matrix-vector operations:

x_i = A_i*x_i or
x_i = A_i**T*x_i or
x_i = A_i**H*x_i, 0 < i < batch_count

where x_i is an n -element vector and A_i is an n by n (unit, or non-unit, upper or lower triangular) matrix with strides specifying how to retrieve $x_i$ (resp. $A_i$) from $x_{i-1}$ (resp. $A_i$ ). The vectors x_i are overwritten.

Parameters

[in]	handle	- [rocblas_handle] handle to the rocBLAS library context queue.
[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]	transA	- [rocblas_operation] rocblas_operation_none: op(A) = A. rocblas_operation_transpose: op(A) = A^T rocblas_operation_conjugate_transpose: op(A) = A^H
[in]	diag	- [rocblas_diagonal] rocblas_diagonal_unit: A_i is assumed to be unit triangular. rocblas_diagonal_non_unit: A_i is not assumed to be unit triangular.
[in]	n	- [rocblas_int] n specifies the number of rows of matrices A_i. n >= 0.
[in]	A	- device pointer to the matrix A_1 of the batch, of dimension ( lda, n ). If uplo == rocblas_fill_upper, the upper triangular part of the leading n-by-n array contains the matrix A_i. Otherwise, the lower triangular part of the leading n-by-n array contains the matrix A_i.
[in]	stride_A	- [rocblas_stride] stride from the start of one A_i matrix to the next A_{i + 1}.
[in,out]	x	- device pointer to the vector x_1 of the batch. On exit, each x_i is overwritten with the transformed vector x_i.
[in]	incx	- [rocblas_int] specifies the increment for the elements of one vector x.
[in]	stride_x	- [rocblas_stride] stride from the start of one x_i vector to the next x_{i + 1}.
[in]	batch_count	- [rocblas_int] The number of batched matrices/vectors.

Member Function/Subroutine Documentation

◆ rocblas_stpmv_strided_batched_()

integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_stpmv_strided_batched::rocblas_stpmv_strided_batched_	(	type(c_ptr), value	handle,
		integer(kind(rocblas_fill_upper)), value	uplo,
		integer(kind(rocblas_operation_none)), value	transa,
		integer(kind(rocblas_diagonal_non_unit)), value	diag,
		integer(c_int), value	n,
		type(c_ptr), value	a,
		integer(c_int64_t), value	stride_a,
		type(c_ptr), value	x,
		integer(c_int), value	incx,
		integer(c_int64_t), value	stride_x,
		integer(c_int), value	batch_count
	)

◆ rocblas_stpmv_strided_batched_rank_0()

integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_stpmv_strided_batched::rocblas_stpmv_strided_batched_rank_0	(	type(c_ptr)	handle,
		integer(kind(rocblas_fill_upper))	uplo,
		integer(kind(rocblas_operation_none))	transa,
		integer(kind(rocblas_diagonal_non_unit))	diag,
		integer(c_int)	n,
		real(c_float), target	a,
		integer(c_int64_t)	stride_a,
		real(c_float), target	x,
		integer(c_int)	incx,
		integer(c_int64_t)	stride_x,
		integer(c_int)	batch_count
	)

◆ rocblas_stpmv_strided_batched_rank_1()

integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_stpmv_strided_batched::rocblas_stpmv_strided_batched_rank_1	(	type(c_ptr)	handle,
		integer(kind(rocblas_fill_upper))	uplo,
		integer(kind(rocblas_operation_none))	transa,
		integer(kind(rocblas_diagonal_non_unit))	diag,
		integer(c_int)	n,
		real(c_float), dimension(:), target	a,
		integer(c_int64_t)	stride_a,
		real(c_float), dimension(:), target	x,
		integer(c_int)	incx,
		integer(c_int64_t)	stride_x,
		integer(c_int)	batch_count
	)

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

hipfort_rocblas.F90