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hipblaszgercstridedbatched Interface Reference

hipblaszgercstridedbatched Interface Reference#

HIPFORT API Reference: hipfort_hipblas::hipblaszgercstridedbatched Interface Reference
hipfort_hipblas::hipblaszgercstridedbatched Interface Reference

BLAS Level 2 API. More...

Public Member Functions

integer(kind(hipblas_status_success)) function hipblaszgercstridedbatched_ (handle, m, n, alpha, x, incx, stridex, y, incy, stridey, A, lda, strideA, batchCount)
 
integer(kind(hipblas_status_success)) function hipblaszgercstridedbatched_full_rank (handle, m, n, alpha, x, incx, stridex, y, incy, stridey, A, lda, strideA, batchCount)
 
integer(kind(hipblas_status_success)) function hipblaszgercstridedbatched_rank_0 (handle, m, n, alpha, x, incx, stridex, y, incy, stridey, A, lda, strideA, batchCount)
 
integer(kind(hipblas_status_success)) function hipblaszgercstridedbatched_rank_1 (handle, m, n, alpha, x, incx, stridex, y, incy, stridey, A, lda, strideA, batchCount)
 

Detailed Description

BLAS Level 2 API.

gerStridedBatched,geruStridedBatched,gercStridedBatched performs the matrix-vector operations

A_i := A_i + alpha*x_i*y_i**T, OR
A_i := A_i + alpha*x_i*y_i**H  for gerc

where (A_i, x_i, y_i) is the i-th instance of the batch. alpha is a scalar, 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]m[int] the number of rows of each matrix A_i.
[in]n[int] the number of columns of each matrix A_i.
[in]alphadevice pointer or host pointer to scalar alpha.
[in]xdevice pointer to the first vector (x_1) in the batch.
[in]incx[int] specifies the increments for the elements of each vector 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, for a typical case this means stridex >= m * incx.
[in,out]ydevice pointer to the first vector (y_1) in the batch.
[in]incy[int] specifies the increment for the elements of each vector 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, for a typical case this means stridey >= n * incy.
[in,out]Adevice pointer to the first matrix (A_1) in the batch.
[in]lda[int] specifies the leading dimension of each A_i.
[in]strideA[hipblasStride] stride from the start of one matrix (A_i) and the next one (A_i+1)
[in]batchCount[int] number of instances in the batch

Member Function/Subroutine Documentation

◆ hipblaszgercstridedbatched_()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszgercstridedbatched::hipblaszgercstridedbatched_ ( type(c_ptr), value  handle,
integer(c_int), value  m,
integer(c_int), value  n,
complex(c_double_complex)  alpha,
type(c_ptr), value  x,
integer(c_int), value  incx,
integer(c_int64_t), value  stridex,
type(c_ptr), value  y,
integer(c_int), value  incy,
integer(c_int64_t), value  stridey,
type(c_ptr), value  A,
integer(c_int), value  lda,
integer(c_int64_t), value  strideA,
integer(c_int), value  batchCount 
)

◆ hipblaszgercstridedbatched_full_rank()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszgercstridedbatched::hipblaszgercstridedbatched_full_rank ( type(c_ptr)  handle,
integer(c_int)  m,
integer(c_int)  n,
complex(c_double_complex)  alpha,
complex(c_double_complex), dimension(:), target  x,
integer(c_int)  incx,
integer(c_int64_t)  stridex,
complex(c_double_complex), dimension(:), target  y,
integer(c_int)  incy,
integer(c_int64_t)  stridey,
complex(c_double_complex), dimension(:,:), target  A,
integer(c_int)  lda,
integer(c_int64_t)  strideA,
integer(c_int)  batchCount 
)

◆ hipblaszgercstridedbatched_rank_0()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszgercstridedbatched::hipblaszgercstridedbatched_rank_0 ( type(c_ptr)  handle,
integer(c_int)  m,
integer(c_int)  n,
complex(c_double_complex)  alpha,
complex(c_double_complex), target  x,
integer(c_int)  incx,
integer(c_int64_t)  stridex,
complex(c_double_complex), target  y,
integer(c_int)  incy,
integer(c_int64_t)  stridey,
complex(c_double_complex), target  A,
integer(c_int)  lda,
integer(c_int64_t)  strideA,
integer(c_int)  batchCount 
)

◆ hipblaszgercstridedbatched_rank_1()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszgercstridedbatched::hipblaszgercstridedbatched_rank_1 ( type(c_ptr)  handle,
integer(c_int)  m,
integer(c_int)  n,
complex(c_double_complex)  alpha,
complex(c_double_complex), dimension(:), target  x,
integer(c_int)  incx,
integer(c_int64_t)  stridex,
complex(c_double_complex), dimension(:), target  y,
integer(c_int)  incy,
integer(c_int64_t)  stridey,
complex(c_double_complex), dimension(:), target  A,
integer(c_int)  lda,
integer(c_int64_t)  strideA,
integer(c_int)  batchCount 
)

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