hipblaschemvstridedbatched Interface Reference

hipblaschemvstridedbatched Interface Reference#

HIPFORT API Reference: hipfort_hipblas::hipblaschemvstridedbatched Interface Reference
Public Member Functions | List of all members
hipfort_hipblas::hipblaschemvstridedbatched Interface Reference

BLAS Level 2 API. More...

Public Member Functions

integer(kind(hipblas_status_success)) function hipblaschemvstridedbatched_ (handle, uplo, n, alpha, ap, lda, stridea, x, incx, stridex, beta, y, incy, stridey, batchcount)
 
integer(kind(hipblas_status_success)) function hipblaschemvstridedbatched_rank_0 (handle, uplo, n, alpha, ap, lda, stridea, x, incx, stridex, beta, y, incy, stridey, batchcount)
 
integer(kind(hipblas_status_success)) function hipblaschemvstridedbatched_rank_1 (handle, uplo, n, alpha, ap, lda, stridea, x, incx, stridex, beta, y, incy, stridey, batchcount)
 
integer(kind(hipblas_status_success)) function hipblaschemvstridedbatched_full_rank (handle, uplo, n, alpha, ap, lda, stridea, x, incx, stridex, beta, y, incy, stridey, batchcount)
 

Detailed Description

BLAS Level 2 API.

The hemvStridedBatched functions perform one of the matrix-vector operations: 

y_i := alpha*A_i*x_i + beta*y_i

where alpha and beta are scalars, x_i and y_i are n -element vectors, and A_i is an n by n Hermitian matrix, for each batch in i = [1, batchCount].

  • Supported precisions in rocBLAS : c and z.
  • Supported precisions in cuBLAS : No support.
Parameters
[in]handle- [hipblasHandle_t] handle to the hipBLAS library context queue.
[in]uplo- [hipblasFillMode_t]
  • HIPBLAS_FILL_MODE_UPPER: the upper triangular part of the Hermitian matrix A is supplied.
  • HIPBLAS_FILL_MODE_LOWER: the lower triangular part of the Hermitian matrix A is supplied.
[in]n- [int] the order of each matrix A_i.
[in]alpha- device pointer or host pointer to scalar alpha.
[in]AP- device array of device pointers storing each matrix A_i of dimension (lda, n).
  • if uplo == HIPBLAS_FILL_MODE_UPPER: The upper triangular part of each A_i must contain the upper triangular part of a Hermitian matrix. The lower triangular part of each A_i will not be referenced.
  • if uplo == HIPBLAS_FILL_MODE_LOWER: The lower triangular part of each A_i must contain the lower triangular part of a Hermitian matrix. The upper triangular part of each A_i will not be referenced.
  • As a Hermitian matrix, the imaginary part of the main diagonal of each A_i will not be referenced and is assumed to be == 0.
[in]lda- [int] specifies the leading dimension of each A_i. Must be >= max(1, n).
[in]strideA- [hipblasStride] stride from the start of one (A_i) to the next (A_i+1).
[in]x- device array of device pointers storing each vector x_i.
[in]incx- [int] specifies the increment for the elements of each x_i.
[in]stridex- [hipblasStride] stride from the start of one vector (x_i) to the next one (x_i+1).
[in]beta- device pointer or host pointer to scalar beta.
[in,out]y- device array of device pointers storing each vector y_i.
[in]incy- [int] specifies the increment for the elements of y.
[in]stridey- [hipblasStride] stride from the start of one vector (y_i) to the next one (y_i+1).
[in]batchCount- [int] number of instances in the batch.

Member Function/Subroutine Documentation

◆ hipblaschemvstridedbatched_()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaschemvstridedbatched::hipblaschemvstridedbatched_ ( type(c_ptr), value  handle,
integer(kind(hipblas_fill_mode_upper)), value  uplo,
integer(c_int), value  n,
complex(c_float_complex)  alpha,
type(c_ptr), value  ap,
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_float_complex)  beta,
type(c_ptr), value  y,
integer(c_int), value  incy,
integer(c_int64_t), value  stridey,
integer(c_int), value  batchcount 
)

◆ hipblaschemvstridedbatched_full_rank()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaschemvstridedbatched::hipblaschemvstridedbatched_full_rank ( type(c_ptr)  handle,
integer(kind(hipblas_fill_mode_upper))  uplo,
integer(c_int)  n,
complex(c_float_complex)  alpha,
complex(c_float_complex), dimension(:,:), target  ap,
integer(c_int)  lda,
integer(c_int64_t)  stridea,
complex(c_float_complex), dimension(:), target  x,
integer(c_int)  incx,
integer(c_int64_t)  stridex,
complex(c_float_complex)  beta,
complex(c_float_complex), dimension(:), target  y,
integer(c_int)  incy,
integer(c_int64_t)  stridey,
integer(c_int)  batchcount 
)

◆ hipblaschemvstridedbatched_rank_0()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaschemvstridedbatched::hipblaschemvstridedbatched_rank_0 ( type(c_ptr)  handle,
integer(kind(hipblas_fill_mode_upper))  uplo,
integer(c_int)  n,
complex(c_float_complex)  alpha,
complex(c_float_complex), target  ap,
integer(c_int)  lda,
integer(c_int64_t)  stridea,
complex(c_float_complex), target  x,
integer(c_int)  incx,
integer(c_int64_t)  stridex,
complex(c_float_complex)  beta,
complex(c_float_complex), target  y,
integer(c_int)  incy,
integer(c_int64_t)  stridey,
integer(c_int)  batchcount 
)

◆ hipblaschemvstridedbatched_rank_1()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaschemvstridedbatched::hipblaschemvstridedbatched_rank_1 ( type(c_ptr)  handle,
integer(kind(hipblas_fill_mode_upper))  uplo,
integer(c_int)  n,
complex(c_float_complex)  alpha,
complex(c_float_complex), dimension(:), target  ap,
integer(c_int)  lda,
integer(c_int64_t)  stridea,
complex(c_float_complex), dimension(:), target  x,
integer(c_int)  incx,
integer(c_int64_t)  stridex,
complex(c_float_complex)  beta,
complex(c_float_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: