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 matrixmatrix 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 nonunit, 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] alpha alpha specifies the scalar alpha. When alpha is zero then A_i is not referenced and B_i need not be set before entry. [in] A Device 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] B device 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: