rocblas_sgeam_strided_batched Interface Reference#
hipfort_rocblas::rocblas_sgeam_strided_batched Interface Reference
BLAS Level 3 API. More...
Public Member Functions | |
| integer(kind(rocblas_status_success)) function | rocblas_sgeam_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_sgeam_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_sgeam_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) |
| integer(kind(rocblas_status_success)) function | rocblas_sgeam_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) |
Detailed Description
BLAS Level 3 API.
The geam_strided_batched functions perform 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, 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] alpha - device pointer or host pointer specifying the scalar alpha. [in] A - device 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) to the next one (A_i+1). [in] beta - device pointer or host pointer specifying the scalar beta. [in] B - pointer 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) to the next one (B_i+1). [in,out] C - pointer 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) to the next one (C_i+1). [in] batch_count - [rocblas_int] number of instances i in the batch.
Member Function/Subroutine Documentation
◆ rocblas_sgeam_strided_batched_()
| integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_sgeam_strided_batched::rocblas_sgeam_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, | ||
| real(c_float) | alpha, | ||
| type(c_ptr), value | a, | ||
| integer(c_int), value | lda, | ||
| integer(c_int64_t), value | stride_a, | ||
| real(c_float) | 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_sgeam_strided_batched_full_rank()
| integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_sgeam_strided_batched::rocblas_sgeam_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, | ||
| real(c_float) | alpha, | ||
| real(c_float), dimension(:,:), target | a, | ||
| integer(c_int) | lda, | ||
| integer(c_int64_t) | stride_a, | ||
| real(c_float) | beta, | ||
| real(c_float), dimension(:,:), target | b, | ||
| integer(c_int) | ldb, | ||
| integer(c_int64_t) | stride_b, | ||
| real(c_float), dimension(:,:), target | c, | ||
| integer(c_int) | ldc, | ||
| integer(c_int64_t) | stride_c, | ||
| integer(c_int) | batch_count | ||
| ) |
◆ rocblas_sgeam_strided_batched_rank_0()
| integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_sgeam_strided_batched::rocblas_sgeam_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, | ||
| real(c_float) | alpha, | ||
| real(c_float), target | a, | ||
| integer(c_int) | lda, | ||
| integer(c_int64_t) | stride_a, | ||
| real(c_float) | beta, | ||
| real(c_float), target | b, | ||
| integer(c_int) | ldb, | ||
| integer(c_int64_t) | stride_b, | ||
| real(c_float), target | c, | ||
| integer(c_int) | ldc, | ||
| integer(c_int64_t) | stride_c, | ||
| integer(c_int) | batch_count | ||
| ) |
◆ rocblas_sgeam_strided_batched_rank_1()
| integer(kind(rocblas_status_success)) function hipfort_rocblas::rocblas_sgeam_strided_batched::rocblas_sgeam_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, | ||
| real(c_float) | alpha, | ||
| real(c_float), dimension(:), target | a, | ||
| integer(c_int) | lda, | ||
| integer(c_int64_t) | stride_a, | ||
| real(c_float) | beta, | ||
| real(c_float), dimension(:), target | b, | ||
| integer(c_int) | ldb, | ||
| integer(c_int64_t) | stride_b, | ||
| real(c_float), 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: