rocblas_zgeam_strided_batched Interface Reference

rocblas_zgeam_strided_batched Interface Reference#

HIPFORT API Reference: hipfort_rocblas::rocblas_zgeam_strided_batched Interface Reference
hipfort_rocblas::rocblas_zgeam_strided_batched Interface Reference

BLAS Level 3 API. More...

Public Member Functions

integer(kind(rocblas_status_success)) function rocblas_zgeam_strided_batched_ (handle, transA, transB, m, n, alpha, A, lda, stride_a, beta, B, ldb, stride_b, C, ldc, stride_c, batch_count)
 
integer(kind(rocblas_status_success)) function rocblas_zgeam_strided_batched_full_rank (handle, transA, transB, m, n, alpha, A, lda, stride_a, beta, B, ldb, stride_b, C, ldc, stride_c, batch_count)
 
integer(kind(rocblas_status_success)) function rocblas_zgeam_strided_batched_rank_0 (handle, transA, transB, m, n, alpha, A, lda, stride_a, beta, B, ldb, stride_b, C, ldc, stride_c, batch_count)
 
integer(kind(rocblas_status_success)) function rocblas_zgeam_strided_batched_rank_1 (handle, transA, transB, m, n, alpha, A, lda, stride_a, beta, B, ldb, stride_b, C, ldc, stride_c, batch_count)
 

Detailed Description

BLAS Level 3 API.

geam_strided_batched performs one of the batched matrix-matrix operations

C_i = alpha*op( A_i ) + beta*op( B_i )  for i = 0, 1, ... batch_count - 1

where alpha and beta are scalars, and op(A_i), op(B_i) and C_i are m by n matrices and op( X ) is one of

op( X ) = X      or
op( X ) = X**T
Parameters
[in]handle[rocblas_handle] handle to the rocblas library context queue.
[in]transA[rocblas_operation] specifies the form of op( A )
[in]transB[rocblas_operation] specifies the form of op( B )
[in]m[rocblas_int] matrix dimension m.
[in]n[rocblas_int] matrix dimension n.
[in]alphadevice pointer or host pointer specifying the scalar alpha.
[in]Adevice pointer to the first matrix A_0 on the GPU. Each A_i is of dimension ( lda, k ), where k is m when transA == rocblas_operation_none and is n when transA == rocblas_operation_transpose.
[in]lda[rocblas_int] specifies the leading dimension of A.
[in]stride_A[rocblas_stride] stride from the start of one matrix (A_i) and the next one (A_i+1)
[in]betadevice pointer or host pointer specifying the scalar beta.
[in]Bpointer to the first matrix B_0 on the GPU. Each B_i is of dimension ( ldb, k ), where k is m when transB == rocblas_operation_none and is n when transB == rocblas_operation_transpose.
[in]ldb[rocblas_int] specifies the leading dimension of B.
[in]stride_B[rocblas_stride] stride from the start of one matrix (B_i) and the next one (B_i+1)
[in,out]Cpointer to the first matrix C_0 on the GPU. Each C_i is of dimension ( ldc, n ).
[in]ldc[rocblas_int] specifies the leading dimension of C.
[in]stride_C[rocblas_stride] stride from the start of one matrix (C_i) and the next one (C_i+1)
[in]batch_count[rocblas_int] number of instances i in the batch.

Member Function/Subroutine Documentation

◆ rocblas_zgeam_strided_batched_()

integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_zgeam_strided_batched::rocblas_zgeam_strided_batched_ ( type(c_ptr), value  handle,
integer(kind(rocblas_operation_none)), value  transA,
integer(kind(rocblas_operation_none)), value  transB,
integer(c_int), value  m,
integer(c_int), value  n,
complex(c_double_complex)  alpha,
type(c_ptr), value  A,
integer(c_int), value  lda,
integer(c_int64_t), value  stride_a,
complex(c_double_complex)  beta,
type(c_ptr), value  B,
integer(c_int), value  ldb,
integer(c_int64_t), value  stride_b,
type(c_ptr), value  C,
integer(c_int), value  ldc,
integer(c_int64_t), value  stride_c,
integer(c_int), value  batch_count 
)

◆ rocblas_zgeam_strided_batched_full_rank()

integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_zgeam_strided_batched::rocblas_zgeam_strided_batched_full_rank ( type(c_ptr)  handle,
integer(kind(rocblas_operation_none))  transA,
integer(kind(rocblas_operation_none))  transB,
integer(c_int)  m,
integer(c_int)  n,
complex(c_double_complex)  alpha,
complex(c_double_complex), dimension(:,:), target  A,
integer(c_int)  lda,
integer(c_int64_t)  stride_a,
complex(c_double_complex)  beta,
complex(c_double_complex), dimension(:,:), target  B,
integer(c_int)  ldb,
integer(c_int64_t)  stride_b,
complex(c_double_complex), dimension(:,:), target  C,
integer(c_int)  ldc,
integer(c_int64_t)  stride_c,
integer(c_int)  batch_count 
)

◆ rocblas_zgeam_strided_batched_rank_0()

integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_zgeam_strided_batched::rocblas_zgeam_strided_batched_rank_0 ( type(c_ptr)  handle,
integer(kind(rocblas_operation_none))  transA,
integer(kind(rocblas_operation_none))  transB,
integer(c_int)  m,
integer(c_int)  n,
complex(c_double_complex)  alpha,
complex(c_double_complex), target  A,
integer(c_int)  lda,
integer(c_int64_t)  stride_a,
complex(c_double_complex)  beta,
complex(c_double_complex), target  B,
integer(c_int)  ldb,
integer(c_int64_t)  stride_b,
complex(c_double_complex), target  C,
integer(c_int)  ldc,
integer(c_int64_t)  stride_c,
integer(c_int)  batch_count 
)

◆ rocblas_zgeam_strided_batched_rank_1()

integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_zgeam_strided_batched::rocblas_zgeam_strided_batched_rank_1 ( type(c_ptr)  handle,
integer(kind(rocblas_operation_none))  transA,
integer(kind(rocblas_operation_none))  transB,
integer(c_int)  m,
integer(c_int)  n,
complex(c_double_complex)  alpha,
complex(c_double_complex), dimension(:), target  A,
integer(c_int)  lda,
integer(c_int64_t)  stride_a,
complex(c_double_complex)  beta,
complex(c_double_complex), dimension(:), target  B,
integer(c_int)  ldb,
integer(c_int64_t)  stride_b,
complex(c_double_complex), dimension(:), target  C,
integer(c_int)  ldc,
integer(c_int64_t)  stride_c,
integer(c_int)  batch_count 
)

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