# rocblas_zherk_strided_batched Interface Reference#

HIPFORT API Reference: hipfort_rocblas::rocblas_zherk_strided_batched Interface Reference
hipfort_rocblas::rocblas_zherk_strided_batched Interface Reference

BLAS Level 3 API. More...

## Public Member Functions

integer(kind(rocblas_status_success)) function rocblas_zherk_strided_batched_ (handle, uplo, transA, n, k, alpha, A, lda, stride_A, beta, C, ldc, stride_C, batch_count)

integer(kind(rocblas_status_success)) function rocblas_zherk_strided_batched_full_rank (handle, uplo, transA, n, k, alpha, A, lda, stride_A, beta, C, ldc, stride_C, batch_count)

integer(kind(rocblas_status_success)) function rocblas_zherk_strided_batched_rank_0 (handle, uplo, transA, n, k, alpha, A, lda, stride_A, beta, C, ldc, stride_C, batch_count)

integer(kind(rocblas_status_success)) function rocblas_zherk_strided_batched_rank_1 (handle, uplo, transA, n, k, alpha, A, lda, stride_A, beta, C, ldc, stride_C, batch_count)

## Detailed Description

BLAS Level 3 API.

herk_strided_batched performs a batch of the matrix-matrix operations for a Hermitian rank-k update

C_i := alpha*op( A_i )*op( A_i )^H + beta*C_i

where alpha and beta are scalars, op(A) is an n by k matrix, and C_i is a n x n Hermitian matrix stored as either upper or lower.

op( A_i ) = A_i, and A_i is n by k if transA == rocblas_operation_none
op( A_i ) = A_i^H and A_i is k by n if transA == rocblas_operation_conjugate_transpose

Parameters
 [in] handle [rocblas_handle] handle to the rocblas library context queue. [in] uplo [rocblas_fill] rocblas_fill_upper: C_i is an upper triangular matrix rocblas_fill_lower: C_i is a lower triangular matrix [in] transA [rocblas_operation] rocblas_operation_conjugate_transpose: op(A) = A^H rocblas_operation_none: op(A) = A [in] n [rocblas_int] n specifies the number of rows and columns of C_i. n >= 0. [in] k [rocblas_int] k specifies the number of columns of op(A). k >= 0. [in] alpha alpha specifies the scalar alpha. When alpha is zero then A is not referenced and A need not be set before entry. [in] A Device pointer to the first matrix A_1 on the GPU of dimension (lda, k) when transA is rocblas_operation_none, otherwise of dimension (lda, n) [in] lda [rocblas_int] lda specifies the first dimension of A_i. if transA = rocblas_operation_none, lda >= max( 1, n ), otherwise lda >= max( 1, k ). [in] stride_A [rocblas_stride] stride from the start of one matrix (A_i) and the next one (A_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 the first matrix C_1 on the GPU. The imaginary component of the diagonal elements are not used but are set to zero unless quick return. [in] ldc [rocblas_int] ldc specifies the first dimension of C. ldc >= max( 1, n ). [in,out] stride_C [rocblas_stride] stride from the start of one matrix (C_i) and the next one (C_i+1) [in] batch_count [rocblas_int] number of instances in the batch.

## ◆ rocblas_zherk_strided_batched_()

 integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_zherk_strided_batched::rocblas_zherk_strided_batched_ ( type(c_ptr), value handle, integer(kind(rocblas_fill_upper)), value uplo, integer(kind(rocblas_operation_none)), value transA, integer(c_int), value n, integer(c_int), value k, real(c_double) alpha, type(c_ptr), value A, integer(c_int), value lda, integer(c_int64_t), value stride_A, real(c_double) 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_zherk_strided_batched_full_rank()

 integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_zherk_strided_batched::rocblas_zherk_strided_batched_full_rank ( type(c_ptr) handle, integer(kind(rocblas_fill_upper)) uplo, integer(kind(rocblas_operation_none)) transA, integer(c_int) n, integer(c_int) k, real(c_double) alpha, complex(c_double_complex), dimension(:,:), target A, integer(c_int) lda, integer(c_int64_t) stride_A, real(c_double) beta, complex(c_double_complex), dimension(:,:), target C, integer(c_int) ldc, integer(c_int64_t) stride_C, integer(c_int) batch_count )

## ◆ rocblas_zherk_strided_batched_rank_0()

 integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_zherk_strided_batched::rocblas_zherk_strided_batched_rank_0 ( type(c_ptr) handle, integer(kind(rocblas_fill_upper)) uplo, integer(kind(rocblas_operation_none)) transA, integer(c_int) n, integer(c_int) k, real(c_double) alpha, complex(c_double_complex), target A, integer(c_int) lda, integer(c_int64_t) stride_A, real(c_double) beta, complex(c_double_complex), target C, integer(c_int) ldc, integer(c_int64_t) stride_C, integer(c_int) batch_count )

## ◆ rocblas_zherk_strided_batched_rank_1()

 integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_zherk_strided_batched::rocblas_zherk_strided_batched_rank_1 ( type(c_ptr) handle, integer(kind(rocblas_fill_upper)) uplo, integer(kind(rocblas_operation_none)) transA, integer(c_int) n, integer(c_int) k, real(c_double) alpha, complex(c_double_complex), dimension(:), target A, integer(c_int) lda, integer(c_int64_t) stride_A, real(c_double) beta, complex(c_double_complex), dimension(:), target C, integer(c_int) ldc, integer(c_int64_t) stride_C, integer(c_int) batch_count )

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