# rocblas_zgerc_strided_batched Interface Reference#

HIPFORT API Reference: hipfort_rocblas::rocblas_zgerc_strided_batched Interface Reference
hipfort_rocblas::rocblas_zgerc_strided_batched Interface Reference

BLAS Level 2 API. More...

## Public Member Functions

integer(kind(rocblas_status_success)) function rocblas_zgerc_strided_batched_ (handle, m, n, alpha, x, incx, stridex, y, incy, stridey, A, lda, strideA, batch_count)

integer(kind(rocblas_status_success)) function rocblas_zgerc_strided_batched_full_rank (handle, m, n, alpha, x, incx, stridex, y, incy, stridey, A, lda, strideA, batch_count)

integer(kind(rocblas_status_success)) function rocblas_zgerc_strided_batched_rank_0 (handle, m, n, alpha, x, incx, stridex, y, incy, stridey, A, lda, strideA, batch_count)

integer(kind(rocblas_status_success)) function rocblas_zgerc_strided_batched_rank_1 (handle, m, n, alpha, x, incx, stridex, y, incy, stridey, A, lda, strideA, batch_count)

## Detailed Description

BLAS Level 2 API.

ger_strided_batched,geru_strided_batched,gerc_strided_batched 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, ..., batch_count.

Parameters
 [in] handle [rocblas_handle] handle to the rocblas library context queue. [in] m [rocblas_int] the number of rows of each matrix A_i. [in] n [rocblas_int] the number of columns of each matrix A_i. [in] alpha device pointer or host pointer to scalar alpha. [in] x device pointer to the first vector (x_1) in the batch. [in] incx [rocblas_int] specifies the increments for the elements of each vector x_i. [in] stridex [rocblas_stride] stride from the start of one vector (x_i) and the next one (x_i+1). There are no restrictions placed on stride_x, however the user should take care to ensure that stride_x is of appropriate size, for a typical case this means stride_x >= m * incx. [in,out] y device pointer to the first vector (y_1) in the batch. [in] incy [rocblas_int] specifies the increment for the elements of each vector y_i. [in] stridey [rocblas_stride] stride from the start of one vector (y_i) and the next one (y_i+1). There are no restrictions placed on stride_y, however the user should take care to ensure that stride_y is of appropriate size, for a typical case this means stride_y >= n * incy. [in,out] A device pointer to the first matrix (A_1) in the batch. [in] lda [rocblas_int] specifies the leading dimension of each A_i. [in] strideA [rocblas_stride] stride from the start of one matrix (A_i) and the next one (A_i+1) [in] batch_count [rocblas_int] number of instances in the batch

## ◆ rocblas_zgerc_strided_batched_()

 integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_zgerc_strided_batched::rocblas_zgerc_strided_batched_ ( 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 batch_count )

## ◆ rocblas_zgerc_strided_batched_full_rank()

 integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_zgerc_strided_batched::rocblas_zgerc_strided_batched_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) batch_count )

## ◆ rocblas_zgerc_strided_batched_rank_0()

 integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_zgerc_strided_batched::rocblas_zgerc_strided_batched_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) batch_count )

## ◆ rocblas_zgerc_strided_batched_rank_1()

 integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_zgerc_strided_batched::rocblas_zgerc_strided_batched_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) batch_count )

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