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hipblasztpsvstridedbatched Interface Reference

hipblasztpsvstridedbatched Interface Reference#

HIPFORT API Reference: hipfort_hipblas::hipblasztpsvstridedbatched Interface Reference
hipfort_hipblas::hipblasztpsvstridedbatched Interface Reference

BLAS Level 2 API. More...

Public Member Functions

integer(kind(hipblas_status_success)) function hipblasztpsvstridedbatched_ (handle, uplo, transA, diag, m, AP, strideAP, x, incx, stridex, batchCount)
 
integer(kind(hipblas_status_success)) function hipblasztpsvstridedbatched_rank_0 (handle, uplo, transA, diag, m, AP, strideAP, x, incx, stridex, batchCount)
 
integer(kind(hipblas_status_success)) function hipblasztpsvstridedbatched_rank_1 (handle, uplo, transA, diag, m, AP, strideAP, x, incx, stridex, batchCount)
 

Detailed Description

BLAS Level 2 API.

tpsvStridedBatched solves

 A_i*x_i = b_i or A_i**T*x_i = b_i, or A_i**H*x_i = b_i,

where x_i and b_i are vectors and A_i is a triangular matrix stored in the packed format, for i in [1, batchCount].

The input vectors b_i are overwritten by the output vectors x_i.

Parameters
[in]handle[hipblasHandle_t] handle to the hipblas library context queue.
[in]uplo[hipblasFillMode_t] HIPBLAS_FILL_MODE_UPPER: each A_i is an upper triangular matrix. HIPBLAS_FILL_MODE_LOWER: each A_i is a lower triangular matrix.
[in]transA[hipblasOperation_t] HIPBLAS_OP_N: Solves A*x = b HIPBLAS_OP_T: Solves A**T*x = b HIPBLAS_OP_C: Solves A**H*x = b
[in]diag[hipblasDiagType_t] HIPBLAS_DIAG_UNIT: each A_i is assumed to be unit triangular (i.e. the diagonal elements of each A_i are not used in computations). HIPBLAS_DIAG_NON_UNIT: each A_i is not assumed to be unit triangular.
[in]n[int] n specifies the number of rows of each b_i. n >= 0.
[in]APdevice pointer pointing to the first packed matrix A_1, of dimension >= (n * (n + 1) 2)
[in]strideA[hipblasStride] stride from the beginning of one packed matrix (AP_i) and the next (AP_i+1).
[in,out]xdevice pointer pointing to the first input vector b_1. Overwritten by each x_i on output.
[in]incx[int] specifies the increment for the elements of each x_i.
[in]stridex[hipblasStride] stride from the beginning of one vector (x_i) and the next (x_i+1).
[in]batchCount[int] specifies the number of instances in the batch.

Member Function/Subroutine Documentation

◆ hipblasztpsvstridedbatched_()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblasztpsvstridedbatched::hipblasztpsvstridedbatched_ ( 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  AP,
integer(c_int64_t), value  strideAP,
type(c_ptr), value  x,
integer(c_int), value  incx,
integer(c_int64_t), value  stridex,
integer(c_int), value  batchCount 
)

◆ hipblasztpsvstridedbatched_rank_0()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblasztpsvstridedbatched::hipblasztpsvstridedbatched_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,
type(c_ptr)  AP,
integer(c_int64_t)  strideAP,
complex(c_double_complex), target  x,
integer(c_int)  incx,
integer(c_int64_t)  stridex,
integer(c_int)  batchCount 
)

◆ hipblasztpsvstridedbatched_rank_1()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblasztpsvstridedbatched::hipblasztpsvstridedbatched_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,
type(c_ptr)  AP,
integer(c_int64_t)  strideAP,
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: