hipblasztrmvstridedbatched Interface Reference

hipblasztrmvstridedbatched Interface Reference#

HIPFORT API Reference: hipfort_hipblas::hipblasztrmvstridedbatched Interface Reference
hipfort_hipblas::hipblasztrmvstridedbatched Interface Reference

BLAS Level 2 API. More...

Public Member Functions

integer(kind(hipblas_status_success)) function hipblasztrmvstridedbatched_ (handle, uplo, transA, diag, m, A, lda, strideA, x, incx, stridex, batchCount)
 
integer(kind(hipblas_status_success)) function hipblasztrmvstridedbatched_full_rank (handle, uplo, transA, diag, m, A, lda, strideA, x, incx, stridex, batchCount)
 
integer(kind(hipblas_status_success)) function hipblasztrmvstridedbatched_rank_0 (handle, uplo, transA, diag, m, A, lda, strideA, x, incx, stridex, batchCount)
 
integer(kind(hipblas_status_success)) function hipblasztrmvstridedbatched_rank_1 (handle, uplo, transA, diag, m, A, lda, strideA, x, incx, stridex, batchCount)
 

Detailed Description

BLAS Level 2 API.

trmvStridedBatched performs one of the matrix-vector operations

 x_i = A_i*x_i or x_i = A**T*x_i, 0 \le i < batchCount

where x_i is an n element vector and A_i is an n by n (unit, or non-unit, upper or lower triangular matrix) with strides specifying how to retrieve $x_i$ (resp. $A_i$) from $x_{i-1}$ (resp. $A_i$).

The vectors x_i are overwritten.

Parameters
[in]handle[hipblasHandle_t] handle to the hipblas library context queue.
[in]uplo[hipblasFillMode_t] HIPBLAS_FILL_MODE_UPPER: A_i is an upper triangular matrix. HIPBLAS_FILL_MODE_LOWER: A_i is a lower triangular matrix.
[in]transA[hipblasOperation_t]
[in]diag[hipblasDiagType_t] HIPBLAS_DIAG_UNIT: A_i is assumed to be unit triangular. HIPBLAS_DIAG_NON_UNIT: A_i is not assumed to be unit triangular.
[in]m[int] m specifies the number of rows of matrices A_i. m >= 0.
[in]Adevice pointer of the matrix A_0, of dimension ( lda, m )
[in]lda[int] specifies the leading dimension of A_i. lda >= max( 1, m ).
[in]strideA[hipblasStride] stride from the start of one A_i matrix to the next A_{i + 1}
[in]xdevice pointer storing the vector x_0.
[in]incx[int] specifies the increment for the elements of one vector x.
[in]stridex[hipblasStride] stride from the start of one x_i vector to the next x_{i + 1}
[in]batchCount[int] The number of batched matrices/vectors.

Member Function/Subroutine Documentation

◆ hipblasztrmvstridedbatched_()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblasztrmvstridedbatched::hipblasztrmvstridedbatched_ ( type(c_ptr), value  handle,
integer(kind(hipblas_fill_mode_upper)), value  uplo,
integer(kind(hipblas_op_n)), value  transA,
integer(kind(hipblas_diag_non_unit)), value  diag,
integer(c_int), value  m,
type(c_ptr), value  A,
integer(c_int), value  lda,
integer(c_int64_t), value  strideA,
type(c_ptr), value  x,
integer(c_int), value  incx,
integer(c_int64_t), value  stridex,
integer(c_int), value  batchCount 
)

◆ hipblasztrmvstridedbatched_full_rank()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblasztrmvstridedbatched::hipblasztrmvstridedbatched_full_rank ( type(c_ptr)  handle,
integer(kind(hipblas_fill_mode_upper))  uplo,
integer(kind(hipblas_op_n))  transA,
integer(kind(hipblas_diag_non_unit))  diag,
integer(c_int)  m,
complex(c_double_complex), dimension(:,:), target  A,
integer(c_int)  lda,
integer(c_int64_t)  strideA,
complex(c_double_complex), dimension(:), target  x,
integer(c_int)  incx,
integer(c_int64_t)  stridex,
integer(c_int)  batchCount 
)

◆ hipblasztrmvstridedbatched_rank_0()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblasztrmvstridedbatched::hipblasztrmvstridedbatched_rank_0 ( type(c_ptr)  handle,
integer(kind(hipblas_fill_mode_upper))  uplo,
integer(kind(hipblas_op_n))  transA,
integer(kind(hipblas_diag_non_unit))  diag,
integer(c_int)  m,
complex(c_double_complex), target  A,
integer(c_int)  lda,
integer(c_int64_t)  strideA,
complex(c_double_complex), target  x,
integer(c_int)  incx,
integer(c_int64_t)  stridex,
integer(c_int)  batchCount 
)

◆ hipblasztrmvstridedbatched_rank_1()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblasztrmvstridedbatched::hipblasztrmvstridedbatched_rank_1 ( type(c_ptr)  handle,
integer(kind(hipblas_fill_mode_upper))  uplo,
integer(kind(hipblas_op_n))  transA,
integer(kind(hipblas_diag_non_unit))  diag,
integer(c_int)  m,
complex(c_double_complex), dimension(:), target  A,
integer(c_int)  lda,
integer(c_int64_t)  strideA,
complex(c_double_complex), dimension(:), target  x,
integer(c_int)  incx,
integer(c_int64_t)  stridex,
integer(c_int)  batchCount 
)

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