rocblas_sgemmt Interface Reference

rocblas_sgemmt Interface Reference#

HIPFORT API Reference: hipfort_rocblas::rocblas_sgemmt Interface Reference
hipfort_rocblas::rocblas_sgemmt Interface Reference

BLAS Level 3 API. More...

Public Member Functions

integer(kind(rocblas_status_success)) function rocblas_sgemmt_ (handle, uplo, transa, transb, n, k, alpha, a, lda, b, ldb, beta, c, ldc)
 

Detailed Description

BLAS Level 3 API.

The gemmt functions perform matrix-matrix operations and update the upper or lower triangular part of the result matrix:

C = alpha*op( A )*op( B ) + beta*C,

where op( X ) is one of

op( X ) = X      or
op( X ) = X**T   or
op( X ) = X**H,

alpha and beta are scalars, A and B are general matrices, and C is either an upper or lower triangular matrix, with op( A ) an n by k matrix, op( B ) a k by n matrix, and C an n by n matrix.

Parameters
[in]handle- [rocblas_handle] handle to the rocBLAS library context queue.
[in]uplo- [rocblas_fill]
  • rocblas_fill_upper: C is an upper triangular matrix.
  • rocblas_fill_lower: C is a lower triangular matrix.
[in]transA- [rocblas_operation]
  • rocblas_operation_none: op(A) = A.
  • rocblas_operation_transpose: op(A) = A^T
  • rocblas_operation_conjugate_transpose: op(A) = A^H
[in]transB- [rocblas_operation]
  • rocblas_operation_none: op(B) = B.
  • rocblas_operation_transpose: op(B) = B^T
  • rocblas_operation_conjugate_transpose: op(B) = B^H
[in]n- [rocblas_int] number or rows of matrices op( A ), columns of op( B ), and (rows, columns) of C.
[in]k- [rocblas_int] number of rows of matrices op( B ) and columns of op( A ).
[in]alpha- device pointer or host pointer specifying the scalar alpha.
[in]A- device pointer storing matrix A. If transa = rocblas_operation_none, then the leading n-by-k part of the array contains the matrix A. Otherwise, the leading k-by-n part of the array contains the matrix A.
[in]lda- [rocblas_int] specifies the leading dimension of A. If transA == rocblas_operation_none, must have lda >= max(1, n). Otherwise, must have lda >= max(1, k).
[in]B- device pointer storing matrix B. If transB = rocblas_operation_none, then the leading k-by-n part of the array contains the matrix B. Otherwise, the leading n-by-k part of the array contains the matrix B.
[in]ldb- [rocblas_int] specifies the leading dimension of B. If transB == rocblas_operation_none, must have ldb >= max(1, k). Otherwise, must have ldb >= max(1, n).
[in]beta- device pointer or host pointer specifying the scalar beta.
[in,out]C- device pointer storing matrix C on the GPU. If uplo == rocblas_fill_upper, the upper triangular part of the leading n-by-n array contains the matrix C. Otherwise, the lower triangular part of the leading n-by-n array contains the matrix C.
[in]ldc- [rocblas_int] specifies the leading dimension of C. Must have ldc >= max(1, n).

Member Function/Subroutine Documentation

◆ rocblas_sgemmt_()

integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_sgemmt::rocblas_sgemmt_ ( type(c_ptr), value  handle,
integer(kind(rocblas_fill_upper)), value  uplo,
integer(kind(rocblas_operation_none)), value  transa,
integer(kind(rocblas_operation_none)), value  transb,
integer(c_int), value  n,
integer(c_int), value  k,
real(c_float)  alpha,
type(c_ptr), value  a,
integer(c_int), value  lda,
type(c_ptr), value  b,
integer(c_int), value  ldb,
real(c_float)  beta,
type(c_ptr), value  c,
integer(c_int), value  ldc 
)

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