hipblaszherkxstridedbatched Interface Reference#

HIPFORT API Reference: hipfort_hipblas::hipblaszherkxstridedbatched Interface Reference
hipfort_hipblas::hipblaszherkxstridedbatched Interface Reference

BLAS Level 3 API. More...

Public Member Functions

integer(kind(hipblas_status_success)) function hipblaszherkxstridedbatched_ (handle, uplo, transA, n, k, alpha, A, lda, strideA, B, ldb, strideB, beta, C, ldc, strideC, batchCount)

integer(kind(hipblas_status_success)) function hipblaszherkxstridedbatched_full_rank (handle, uplo, transA, n, k, alpha, A, lda, strideA, B, ldb, strideB, beta, C, ldc, strideC, batchCount)

integer(kind(hipblas_status_success)) function hipblaszherkxstridedbatched_rank_0 (handle, uplo, transA, n, k, alpha, A, lda, strideA, B, ldb, strideB, beta, C, ldc, strideC, batchCount)

integer(kind(hipblas_status_success)) function hipblaszherkxstridedbatched_rank_1 (handle, uplo, transA, n, k, alpha, A, lda, strideA, B, ldb, strideB, beta, C, ldc, strideC, batchCount)

Detailed Description

BLAS Level 3 API.

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

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

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

op( A_i ) = A_i, op( B_i ) = B_i, and A_i and B_i are n by k if trans == HIPBLAS_OP_N
op( A_i ) = A_i^H, op( B_i ) = B_i^H,  and A_i and B_i are k by n if trans == HIPBLAS_OP_C

Parameters
 [in] handle [hipblasHandle_t] handle to the hipblas library context queue. [in] uplo [hipblasFillMode_t] HIPBLAS_FILL_MODE_UPPER: C_i is an upper triangular matrix HIPBLAS_FILL_MODE_LOWER: C_i is a lower triangular matrix [in] trans [hipblasOperation_t] HIPBLAS_OP_C: op( A_i ) = A_i^H, op( B_i ) = B_i^H HIPBLAS_OP_N: op( A_i ) = A_i, op( B_i ) = B_i [in] n [int] n specifies the number of rows and columns of C_i. n >= 0. [in] k [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 HIPBLAS_OP_N, otherwise of dimension (lda, n) [in] lda [int] lda specifies the first dimension of A_i. if trans = HIPBLAS_OP_N, lda >= max( 1, n ), otherwise lda >= max( 1, k ). [in] strideA [hipblasStride] 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 HIPBLAS_OP_N, otherwise of dimension (ldb, n) [in] ldb [int] ldb specifies the first dimension of B_i. if trans = HIPBLAS_OP_N, ldb >= max( 1, n ), otherwise ldb >= max( 1, k ). [in] strideB [hipblasStride] 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. The imaginary component of the diagonal elements are not used but are set to zero unless quick return. [in] ldc [int] ldc specifies the first dimension of C. ldc >= max( 1, n ). [in,out] strideC [hipblasStride] stride from the start of one matrix (C_i) and the next one (C_i+1) [in] batchCount [int] number of instances in the batch.

◆ hipblaszherkxstridedbatched_()

 integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszherkxstridedbatched::hipblaszherkxstridedbatched_ ( type(c_ptr), value handle, integer(kind(hipblas_fill_mode_upper)), value uplo, integer(kind(hipblas_op_n)), value transA, 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 strideA, type(c_ptr), value B, integer(c_int), value ldb, integer(c_int64_t), value strideB, real(c_double) beta, type(c_ptr), value C, integer(c_int), value ldc, integer(c_int64_t), value strideC, integer(c_int), value batchCount )

◆ hipblaszherkxstridedbatched_full_rank()

 integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszherkxstridedbatched::hipblaszherkxstridedbatched_full_rank ( type(c_ptr) handle, integer(kind(hipblas_fill_mode_upper)) uplo, integer(kind(hipblas_op_n)) transA, 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) strideA, complex(c_double_complex), dimension(:,:), target B, integer(c_int) ldb, integer(c_int64_t) strideB, real(c_double) beta, complex(c_double_complex), dimension(:,:), target C, integer(c_int) ldc, integer(c_int64_t) strideC, integer(c_int) batchCount )

◆ hipblaszherkxstridedbatched_rank_0()

 integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszherkxstridedbatched::hipblaszherkxstridedbatched_rank_0 ( type(c_ptr) handle, integer(kind(hipblas_fill_mode_upper)) uplo, integer(kind(hipblas_op_n)) transA, 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) strideA, complex(c_double_complex), target B, integer(c_int) ldb, integer(c_int64_t) strideB, real(c_double) beta, complex(c_double_complex), target C, integer(c_int) ldc, integer(c_int64_t) strideC, integer(c_int) batchCount )

◆ hipblaszherkxstridedbatched_rank_1()

 integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszherkxstridedbatched::hipblaszherkxstridedbatched_rank_1 ( type(c_ptr) handle, integer(kind(hipblas_fill_mode_upper)) uplo, integer(kind(hipblas_op_n)) transA, 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) strideA, complex(c_double_complex), dimension(:), target B, integer(c_int) ldb, integer(c_int64_t) strideB, real(c_double) beta, complex(c_double_complex), dimension(:), target C, integer(c_int) ldc, integer(c_int64_t) strideC, integer(c_int) batchCount )

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