# rocblas_zsyrkx_strided_batched Interface Reference#

HIPFORT API Reference: hipfort_rocblas::rocblas_zsyrkx_strided_batched Interface Reference
hipfort_rocblas::rocblas_zsyrkx_strided_batched Interface Reference

BLAS Level 3 API. More...

## Public Member Functions

integer(kind(rocblas_status_success)) function rocblas_zsyrkx_strided_batched_ (handle, uplo, trans, n, k, alpha, A, lda, stride_A, B, ldb, stride_B, beta, C, ldc, stride_C, batch_count)

integer(kind(rocblas_status_success)) function rocblas_zsyrkx_strided_batched_full_rank (handle, uplo, trans, n, k, alpha, A, lda, stride_A, B, ldb, stride_B, beta, C, ldc, stride_C, batch_count)

integer(kind(rocblas_status_success)) function rocblas_zsyrkx_strided_batched_rank_0 (handle, uplo, trans, n, k, alpha, A, lda, stride_A, B, ldb, stride_B, beta, C, ldc, stride_C, batch_count)

integer(kind(rocblas_status_success)) function rocblas_zsyrkx_strided_batched_rank_1 (handle, uplo, trans, n, k, alpha, A, lda, stride_A, B, ldb, stride_B, beta, C, ldc, stride_C, batch_count)

## Detailed Description

BLAS Level 3 API.

syrkx_strided_batched performs a batch of the matrix-matrix operations for a symmetric rank-k update

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

where alpha and beta are scalars, op(A_i) and op(B_i) are n by k matrix, and C_i is a symmetric n x n matrix stored as either upper or lower. This routine should only be used when the caller can guarantee that the result of op( A_i )*op( B_i )^T will be symmetric.

op( A_i ) = A_i, op( B_i ) = B_i, and A_i and B_i are n by k if trans == rocblas_operation_none
op( A_i ) = A_i^T, op( B_i ) = B_i^T,  and A_i and B_i are k by n if trans == rocblas_operation_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] trans [rocblas_operation] rocblas_operation_transpose: op( A_i ) = A_i^T, op( B_i ) = B_i^T rocblas_operation_none: op( A_i ) = A_i, op( B_i ) = B_i [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 trans is rocblas_operation_none, otherwise of dimension (lda, n) [in] lda [rocblas_int] lda specifies the first dimension of A_i. if trans = 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] B Device pointer to the first matrix B_1 on the GPU of dimension (ldb, k) when trans is rocblas_operation_none, otherwise of dimension (ldb, n) [in] ldb [rocblas_int] ldb specifies the first dimension of B_i. if trans = rocblas_operation_none, ldb >= max( 1, n ), otherwise ldb >= max( 1, k ). [in] stride_B [rocblas_stride] stride from the start of one matrix (B_i) and the next one (B_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. [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_zsyrkx_strided_batched_()

 integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_zsyrkx_strided_batched::rocblas_zsyrkx_strided_batched_ ( type(c_ptr), value handle, integer(kind(rocblas_fill_upper)), value uplo, integer(kind(rocblas_operation_none)), value trans, integer(c_int), value n, integer(c_int), value k, complex(c_double_complex) alpha, type(c_ptr), value A, integer(c_int), value lda, integer(c_int64_t), value stride_A, type(c_ptr), value B, integer(c_int), value ldb, integer(c_int64_t), value stride_B, complex(c_double_complex) 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_zsyrkx_strided_batched_full_rank()

 integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_zsyrkx_strided_batched::rocblas_zsyrkx_strided_batched_full_rank ( type(c_ptr) handle, integer(kind(rocblas_fill_upper)) uplo, integer(kind(rocblas_operation_none)) trans, integer(c_int) n, integer(c_int) k, complex(c_double_complex) alpha, complex(c_double_complex), dimension(:,:), target A, integer(c_int) lda, integer(c_int64_t) stride_A, complex(c_double_complex), dimension(:,:), target B, integer(c_int) ldb, integer(c_int64_t) stride_B, complex(c_double_complex) beta, complex(c_double_complex), dimension(:,:), target C, integer(c_int) ldc, integer(c_int64_t) stride_C, integer(c_int) batch_count )

## ◆ rocblas_zsyrkx_strided_batched_rank_0()

 integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_zsyrkx_strided_batched::rocblas_zsyrkx_strided_batched_rank_0 ( type(c_ptr) handle, integer(kind(rocblas_fill_upper)) uplo, integer(kind(rocblas_operation_none)) trans, integer(c_int) n, integer(c_int) k, complex(c_double_complex) alpha, complex(c_double_complex), target A, integer(c_int) lda, integer(c_int64_t) stride_A, complex(c_double_complex), target B, integer(c_int) ldb, integer(c_int64_t) stride_B, complex(c_double_complex) beta, complex(c_double_complex), target C, integer(c_int) ldc, integer(c_int64_t) stride_C, integer(c_int) batch_count )

## ◆ rocblas_zsyrkx_strided_batched_rank_1()

 integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_zsyrkx_strided_batched::rocblas_zsyrkx_strided_batched_rank_1 ( type(c_ptr) handle, integer(kind(rocblas_fill_upper)) uplo, integer(kind(rocblas_operation_none)) trans, integer(c_int) n, integer(c_int) k, complex(c_double_complex) alpha, complex(c_double_complex), dimension(:), target A, integer(c_int) lda, integer(c_int64_t) stride_A, complex(c_double_complex), dimension(:), target B, integer(c_int) ldb, integer(c_int64_t) stride_B, complex(c_double_complex) 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: