HIPFORT API Reference: hipfort_hipblas::hipblaszgetrsstridedbatched Interface Reference

SOLVER API. More...

## Public Member Functions

integer(kind(hipblas_status_success)) function hipblaszgetrsstridedbatched_ (handle, trans, n, nrhs, A, lda, strideA, ipiv, strideP, B, ldb, strideB, myInfo, batchCount)

integer(kind(hipblas_status_success)) function hipblaszgetrsstridedbatched_full_rank (handle, trans, n, nrhs, A, lda, strideA, ipiv, strideP, B, ldb, strideB, myInfo, batchCount)

integer(kind(hipblas_status_success)) function hipblaszgetrsstridedbatched_rank_0 (handle, trans, n, nrhs, A, lda, strideA, ipiv, strideP, B, ldb, strideB, myInfo, batchCount)

integer(kind(hipblas_status_success)) function hipblaszgetrsstridedbatched_rank_1 (handle, trans, n, nrhs, A, lda, strideA, ipiv, strideP, B, ldb, strideB, myInfo, batchCount)

## Detailed Description

SOLVER API.

getrsStridedBatched solves a batch of systems of n linear equations on n variables in its factorized forms.

For each instance i in the batch, it solves one of the following systems, depending on the value of trans:

$\begin{array}{cl} A_i X_i = B_i & \: \text{not transposed,} A_i^T X_i = B_i & \: \text{transposed, or} A_i^H X_i = B_i & \: \text{conjugate transposed.} \end{array}$

Matrix $$A_i$$ is defined by its triangular factors as returned by hipblasSgetrfStridedBatched "getrfStridedBatched".

Parameters
 [in] handle hipblasHandle_t. [in] trans hipblasOperation_t. Specifies the form of the system of equations of each instance in the batch. [in] n int. n >= 0. The order of the system, i.e. the number of columns and rows of all A_i matrices. [in] nrhs int. nrhs >= 0. The number of right hand sides, i.e., the number of columns of all the matrices B_i. [in] A pointer to type. Array on the GPU (the size depends on the value of strideA). The factors L_i and U_i of the factorization A_i = P_i*L_i*U_i returned by hipblasSgetrfStridedBatched "getrfStridedBatched". [in] lda int. lda >= n. The leading dimension of matrices A_i. [in] strideA hipblasStride. Stride from the start of one matrix A_i to the next one A_(i+1). There is no restriction for the value of strideA. Normal use case is strideA >= lda*n. [in] ipiv pointer to int. Array on the GPU (the size depends on the value of strideP). Contains the vectors ipiv_i of pivot indices returned by hipblasSgetrfStridedBatched "getrfStridedBatched". [in] strideP hipblasStride. Stride from the start of one vector ipiv_i to the next one ipiv_(i+1). There is no restriction for the value of strideP. Normal use case is strideP >= n. [in,out] B pointer to type. Array on the GPU (size depends on the value of strideB). On entry, the right hand side matrices B_i. On exit, the solution matrix X_i of each system in the batch. [in] ldb int. ldb >= n. The leading dimension of matrices B_i. [in] strideB hipblasStride. Stride from the start of one matrix B_i to the next one B_(i+1). There is no restriction for the value of strideB. Normal use case is strideB >= ldb*nrhs. [out] info pointer to a int on the host. If info = 0, successful exit. If info = j < 0, the j-th argument is invalid. [in] batchCount int. batchCount >= 0. Number of instances (systems) in the batch.

## Member Function/Subroutine Documentation

 integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszgetrsstridedbatched::hipblaszgetrsstridedbatched_ ( type(c_ptr), value handle, integer(kind(hipblas_op_n)), value trans, integer(c_int), value n, integer(c_int), value nrhs, type(c_ptr), value A, integer(c_int), value lda, integer(c_int64_t), value strideA, type(c_ptr), value ipiv, integer(c_int64_t), value strideP, type(c_ptr), value B, integer(c_int), value ldb, integer(c_int64_t), value strideB, type(c_ptr), value myInfo, integer(c_int), value batchCount )