hipblaszgemvstridedbatched Interface Reference#
hipfort_hipblas::hipblaszgemvstridedbatched Interface Reference
BLAS Level 2 API. More...
Public Member Functions | |
integer(kind(hipblas_status_success)) function | hipblaszgemvstridedbatched_ (handle, trans, m, n, alpha, A, lda, strideA, x, incx, stridex, beta, y, incy, stridey, batchCount) |
integer(kind(hipblas_status_success)) function | hipblaszgemvstridedbatched_full_rank (handle, trans, m, n, alpha, A, lda, strideA, x, incx, stridex, beta, y, incy, stridey, batchCount) |
integer(kind(hipblas_status_success)) function | hipblaszgemvstridedbatched_rank_0 (handle, trans, m, n, alpha, A, lda, strideA, x, incx, stridex, beta, y, incy, stridey, batchCount) |
integer(kind(hipblas_status_success)) function | hipblaszgemvstridedbatched_rank_1 (handle, trans, m, n, alpha, A, lda, strideA, x, incx, stridex, beta, y, incy, stridey, batchCount) |
Detailed Description
BLAS Level 2 API.
gemvStridedBatched performs a batch of matrix-vector operations
y_i := alpha*A_i*x_i + beta*y_i, or y_i := alpha*A_i**T*x_i + beta*y_i, or y_i := alpha*A_i**H*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 m by n matrix, for i = 1, ..., batchCount.
- Parameters
-
[in] handle [hipblasHandle_t] handle to the hipblas library context queue. [in] transA [hipblasOperation_t] indicates whether matrices A_i are tranposed (conjugated) or not [in] m [int] number of rows of matrices A_i [in] n [int] number of columns of matrices A_i [in] alpha device pointer or host pointer to scalar alpha. [in] A device pointer to the first matrix (A_1) in the batch. [in] lda [int] specifies the leading dimension of matrices A_i. [in] strideA [hipblasStride] 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) in the batch. [in] incx [int] specifies the increment for the elements of vectors x_i. [in] stridex [hipblasStride] 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. When trans equals HIPBLAS_OP_N this typically means stridex >= n * incx, otherwise stridex >= m * incx. [in] beta device pointer or host pointer to scalar beta. [in,out] y device pointer to the first vector (y_1) in the batch. [in] incy [int] specifies the increment for the elements of vectors y_i. [in] stridey [hipblasStride] 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. When trans equals HIPBLAS_OP_N this typically means stridey >= m * incy, otherwise stridey >= n * incy. stridey should be non zero. [in] batchCount [int] number of instances in the batch
Member Function/Subroutine Documentation
◆ hipblaszgemvstridedbatched_()
integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszgemvstridedbatched::hipblaszgemvstridedbatched_ | ( | type(c_ptr), value | handle, |
integer(kind(hipblas_op_n)), value | trans, | ||
integer(c_int), value | m, | ||
integer(c_int), value | n, | ||
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 | x, | ||
integer(c_int), value | incx, | ||
integer(c_int64_t), value | stridex, | ||
complex(c_double_complex) | beta, | ||
type(c_ptr), value | y, | ||
integer(c_int), value | incy, | ||
integer(c_int64_t), value | stridey, | ||
integer(c_int), value | batchCount | ||
) |
◆ hipblaszgemvstridedbatched_full_rank()
integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszgemvstridedbatched::hipblaszgemvstridedbatched_full_rank | ( | type(c_ptr) | handle, |
integer(kind(hipblas_op_n)) | trans, | ||
integer(c_int) | m, | ||
integer(c_int) | n, | ||
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 | x, | ||
integer(c_int) | incx, | ||
integer(c_int64_t) | stridex, | ||
complex(c_double_complex) | beta, | ||
complex(c_double_complex), dimension(:), target | y, | ||
integer(c_int) | incy, | ||
integer(c_int64_t) | stridey, | ||
integer(c_int) | batchCount | ||
) |
◆ hipblaszgemvstridedbatched_rank_0()
integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszgemvstridedbatched::hipblaszgemvstridedbatched_rank_0 | ( | type(c_ptr) | handle, |
integer(kind(hipblas_op_n)) | trans, | ||
integer(c_int) | m, | ||
integer(c_int) | n, | ||
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 | x, | ||
integer(c_int) | incx, | ||
integer(c_int64_t) | stridex, | ||
complex(c_double_complex) | beta, | ||
complex(c_double_complex), target | y, | ||
integer(c_int) | incy, | ||
integer(c_int64_t) | stridey, | ||
integer(c_int) | batchCount | ||
) |
◆ hipblaszgemvstridedbatched_rank_1()
integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszgemvstridedbatched::hipblaszgemvstridedbatched_rank_1 | ( | type(c_ptr) | handle, |
integer(kind(hipblas_op_n)) | trans, | ||
integer(c_int) | m, | ||
integer(c_int) | n, | ||
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 | x, | ||
integer(c_int) | incx, | ||
integer(c_int64_t) | stridex, | ||
complex(c_double_complex) | beta, | ||
complex(c_double_complex), dimension(:), target | y, | ||
integer(c_int) | incy, | ||
integer(c_int64_t) | stridey, | ||
integer(c_int) | batchCount | ||
) |
The documentation for this interface was generated from the following file: