hipblaszherkstridedbatched Interface Reference#
hipfort_hipblas::hipblaszherkstridedbatched Interface Reference
BLAS Level 3 API. More...
Public Member Functions | |
| integer(kind(hipblas_status_success)) function | hipblaszherkstridedbatched_ (handle, uplo, transA, n, k, alpha, A, lda, strideA, beta, C, ldc, strideC, batchCount) |
| integer(kind(hipblas_status_success)) function | hipblaszherkstridedbatched_full_rank (handle, uplo, transA, n, k, alpha, A, lda, strideA, beta, C, ldc, strideC, batchCount) |
| integer(kind(hipblas_status_success)) function | hipblaszherkstridedbatched_rank_0 (handle, uplo, transA, n, k, alpha, A, lda, strideA, beta, C, ldc, strideC, batchCount) |
| integer(kind(hipblas_status_success)) function | hipblaszherkstridedbatched_rank_1 (handle, uplo, transA, n, k, alpha, A, lda, strideA, beta, C, ldc, strideC, batchCount) |
Detailed Description
BLAS Level 3 API.
herkStridedBatched 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 == HIPBLAS_OP_N op( A_i ) = A_i^H and A_i is k by n if transA == 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] transA [hipblasOperation_t] HIPBLAS_OP_C: op(A) = A^H HIPBLAS_OP_N: op(A) = A [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 transA is HIPBLAS_OP_N, otherwise of dimension (lda, n) [in] lda [int] lda specifies the first dimension of A_i. if transA = 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] 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.
Member Function/Subroutine Documentation
◆ hipblaszherkstridedbatched_()
| integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszherkstridedbatched::hipblaszherkstridedbatched_ | ( | 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, | ||
| real(c_double) | alpha, | ||
| type(c_ptr), value | A, | ||
| integer(c_int), value | lda, | ||
| integer(c_int64_t), value | strideA, | ||
| 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 | ||
| ) |
◆ hipblaszherkstridedbatched_full_rank()
| integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszherkstridedbatched::hipblaszherkstridedbatched_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, | ||
| real(c_double) | alpha, | ||
| complex(c_double_complex), dimension(:,:), target | A, | ||
| integer(c_int) | lda, | ||
| integer(c_int64_t) | strideA, | ||
| real(c_double) | beta, | ||
| complex(c_double_complex), dimension(:,:), target | C, | ||
| integer(c_int) | ldc, | ||
| integer(c_int64_t) | strideC, | ||
| integer(c_int) | batchCount | ||
| ) |
◆ hipblaszherkstridedbatched_rank_0()
| integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszherkstridedbatched::hipblaszherkstridedbatched_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, | ||
| real(c_double) | alpha, | ||
| complex(c_double_complex), target | A, | ||
| integer(c_int) | lda, | ||
| integer(c_int64_t) | strideA, | ||
| real(c_double) | beta, | ||
| complex(c_double_complex), target | C, | ||
| integer(c_int) | ldc, | ||
| integer(c_int64_t) | strideC, | ||
| integer(c_int) | batchCount | ||
| ) |
◆ hipblaszherkstridedbatched_rank_1()
| integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszherkstridedbatched::hipblaszherkstridedbatched_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, | ||
| real(c_double) | alpha, | ||
| complex(c_double_complex), dimension(:), target | A, | ||
| integer(c_int) | lda, | ||
| integer(c_int64_t) | strideA, | ||
| 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: