# rocblas_dspmv_strided_batched Interface Reference#

HIPFORT API Reference: hipfort_rocblas::rocblas_dspmv_strided_batched Interface Reference
hipfort_rocblas::rocblas_dspmv_strided_batched Interface Reference

BLAS Level 2 API. More...

## Public Member Functions

integer(kind(rocblas_status_success)) function rocblas_dspmv_strided_batched_ (handle, uplo, n, alpha, A, strideA, x, incx, stridex, beta, y, incy, stridey, batch_count)

integer(kind(rocblas_status_success)) function rocblas_dspmv_strided_batched_full_rank (handle, uplo, n, alpha, A, strideA, x, incx, stridex, beta, y, incy, stridey, batch_count)

integer(kind(rocblas_status_success)) function rocblas_dspmv_strided_batched_rank_0 (handle, uplo, n, alpha, A, strideA, x, incx, stridex, beta, y, incy, stridey, batch_count)

integer(kind(rocblas_status_success)) function rocblas_dspmv_strided_batched_rank_1 (handle, uplo, n, alpha, A, strideA, x, incx, stridex, beta, y, incy, stridey, batch_count)

## Detailed Description

BLAS Level 2 API.

spmv_strided_batched performs 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 matrix, for i = 1, ..., batch_count. A should contain an upper or lower triangular n by n packed symmetric matrix.

Parameters
 [in] handle [rocblas_handle] handle to the rocblas library context queue [in] uplo [rocblas_fill] specifies whether the upper 'rocblas_fill_upper' or lower 'rocblas_fill_lower' if rocblas_fill_upper, the lower part of A is not referenced if rocblas_fill_lower, the upper part of A is not referenced [in] n [rocblas_int] number of rows and columns of each matrix A_i [in] alpha device pointer or host pointer to scalar alpha [in] A Device pointer to the first matrix A_1 on the GPU [in] strideA [rocblas_stride] 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 on the GPU [in] incx [rocblas_int] specifies the increment for the elements of each vector x_i [in] stridex [rocblas_stride] 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. 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 [rocblas_int] specifies the increment for the elements of each vector y_i [in] stridey [rocblas_stride] 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. This typically means stridey >= n * incy. stridey should be non zero. [in] batch_count [rocblas_int] number of instances in the batch

## ◆ rocblas_dspmv_strided_batched_()

 integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_dspmv_strided_batched::rocblas_dspmv_strided_batched_ ( type(c_ptr), value handle, integer(kind(rocblas_fill_upper)), value uplo, integer(c_int), value n, real(c_double) alpha, type(c_ptr), value A, integer(c_int64_t), value strideA, type(c_ptr), value x, integer(c_int), value incx, integer(c_int64_t), value stridex, real(c_double) beta, type(c_ptr), value y, integer(c_int), value incy, integer(c_int64_t), value stridey, integer(c_int), value batch_count )

## ◆ rocblas_dspmv_strided_batched_full_rank()

 integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_dspmv_strided_batched::rocblas_dspmv_strided_batched_full_rank ( type(c_ptr) handle, integer(kind(rocblas_fill_upper)) uplo, integer(c_int) n, real(c_double) alpha, real(c_double), dimension(:,:), target A, integer(c_int64_t) strideA, real(c_double), dimension(:), target x, integer(c_int) incx, integer(c_int64_t) stridex, real(c_double) beta, real(c_double), dimension(:), target y, integer(c_int) incy, integer(c_int64_t) stridey, integer(c_int) batch_count )

## ◆ rocblas_dspmv_strided_batched_rank_0()

 integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_dspmv_strided_batched::rocblas_dspmv_strided_batched_rank_0 ( type(c_ptr) handle, integer(kind(rocblas_fill_upper)) uplo, integer(c_int) n, real(c_double) alpha, real(c_double), target A, integer(c_int64_t) strideA, real(c_double), target x, integer(c_int) incx, integer(c_int64_t) stridex, real(c_double) beta, real(c_double), target y, integer(c_int) incy, integer(c_int64_t) stridey, integer(c_int) batch_count )

## ◆ rocblas_dspmv_strided_batched_rank_1()

 integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_dspmv_strided_batched::rocblas_dspmv_strided_batched_rank_1 ( type(c_ptr) handle, integer(kind(rocblas_fill_upper)) uplo, integer(c_int) n, real(c_double) alpha, real(c_double), dimension(:), target A, integer(c_int64_t) strideA, real(c_double), dimension(:), target x, integer(c_int) incx, integer(c_int64_t) stridex, real(c_double) beta, real(c_double), dimension(:), target y, integer(c_int) incy, integer(c_int64_t) stridey, integer(c_int) batch_count )

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