rocblas_ztrmm_batched Interface Reference

rocblas_ztrmm_batched Interface Reference#

HIPFORT API Reference: hipfort_rocblas::rocblas_ztrmm_batched Interface Reference
hipfort_rocblas::rocblas_ztrmm_batched Interface Reference

BLAS Level 3 API. More...

Public Member Functions

integer(kind(rocblas_status_success)) function rocblas_ztrmm_batched_ (handle, side, uplo, transa, diag, m, n, alpha, a, lda, c, ldc, batch_count)
 

Detailed Description

BLAS Level 3 API.

trmm_batched performs one of the batched matrix-matrix operations

B_i := alpha*op( A_i )*B_i, or B_i := alpha*B_i*op( A_i ) for i = 0, 1, ... batch_count -1

where alpha is a scalar, B_i is an m by n matrix, A_i is a unit, or non-unit, upper or lower triangular matrix and op( A_i ) is one of

op( A_i ) = A_i   or   op( A_i ) = A_i^T   or   op( A_i ) = A_i^H.
Parameters
[in]handle[rocblas_handle] handle to the rocblas library context queue.
[in]side[rocblas_side] Specifies whether op(A_i) multiplies B_i from the left or right as follows: rocblas_side_left: B_i := alpha*op( A_i )*B_i. rocblas_side_right: B_i := alpha*B_i*op( A_i ).
[in]uplo[rocblas_fill] Specifies whether the matrix A is an upper or lower triangular matrix as follows: rocblas_fill_upper: A is an upper triangular matrix. rocblas_fill_lower: A is a lower triangular matrix.
[in]transA[rocblas_operation] Specifies the form of op(A_i) to be used in the matrix multiplication as follows: rocblas_operation_none: op(A_i) = A_i. rocblas_operation_transpose: op(A_i) = A_i^T. rocblas_operation_conjugate_transpose: op(A_i) = A_i^H.
[in]diag[rocblas_diagonal] Specifies whether or not A_i is unit triangular as follows: rocblas_diagonal_unit: A_i is assumed to be unit triangular. rocblas_diagonal_non_unit: A_i is not assumed to be unit triangular.
[in]m[rocblas_int] m specifies the number of rows of B_i. m >= 0.
[in]n[rocblas_int] n specifies the number of columns of B_i. n >= 0.
[in]alphaalpha specifies the scalar alpha. When alpha is zero then A_i is not referenced and B_i need not be set before entry.
[in]ADevice array of device pointers storing each matrix A_i on the GPU. Each A_i is of dimension ( lda, k ), where k is m when side == rocblas_side_left and is n when side == rocblas_side_right.

When uplo == rocblas_fill_upper the leading k by k upper triangular part of the array A must contain the upper triangular matrix and the strictly lower triangular part of A is not referenced.

When uplo == rocblas_fill_lower the leading k by k lower triangular part of the array A must contain the lower triangular matrix and the strictly upper triangular part of A is not referenced.

Note that when diag == rocblas_diagonal_unit the diagonal elements of A_i are not referenced either, but are assumed to be unity.

Parameters
[in]lda[rocblas_int] lda specifies the first dimension of A. if side == rocblas_side_left, lda >= max( 1, m ), if side == rocblas_side_right, lda >= max( 1, n ).
[in,out]Bdevice array of device pointers storing each matrix B_i on the GPU. On entry, the leading m by n part of the array B_i must contain the matrix B_i, and on exit is overwritten by the transformed matrix.
[in]ldb[rocblas_int] ldb specifies the first dimension of B_i. ldb >= max( 1, m ).
[in]batch_count[rocblas_int] number of instances i in the batch.

Member Function/Subroutine Documentation

◆ rocblas_ztrmm_batched_()

integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_ztrmm_batched::rocblas_ztrmm_batched_ ( type(c_ptr), value  handle,
integer(kind(rocblas_side_left)), value  side,
integer(kind(rocblas_fill_upper)), value  uplo,
integer(kind(rocblas_operation_none)), value  transa,
integer(kind(rocblas_diagonal_non_unit)), value  diag,
integer(c_int), value  m,
integer(c_int), value  n,
complex(c_double_complex)  alpha,
type(c_ptr)  a,
integer(c_int), value  lda,
type(c_ptr)  c,
integer(c_int), value  ldc,
integer(c_int), value  batch_count 
)

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