This page contains proposed changes for a future release of ROCm. Read the latest Linux release of ROCm documentation for your production environments.

hipblaszgeqrfstridedbatched Interface Reference

hipblaszgeqrfstridedbatched Interface Reference#

HIPFORT API Reference: hipfort_hipblas::hipblaszgeqrfstridedbatched Interface Reference
hipfort_hipblas::hipblaszgeqrfstridedbatched Interface Reference

SOLVER API. More...

Public Member Functions

integer(kind(hipblas_status_success)) function hipblaszgeqrfstridedbatched_ (handle, m, n, A, lda, strideA, ipiv, strideP, myInfo, batchCount)
 
integer(kind(hipblas_status_success)) function hipblaszgeqrfstridedbatched_full_rank (handle, m, n, A, lda, strideA, ipiv, strideP, myInfo, batchCount)
 
integer(kind(hipblas_status_success)) function hipblaszgeqrfstridedbatched_rank_0 (handle, m, n, A, lda, strideA, ipiv, strideP, myInfo, batchCount)
 
integer(kind(hipblas_status_success)) function hipblaszgeqrfstridedbatched_rank_1 (handle, m, n, A, lda, strideA, ipiv, strideP, myInfo, batchCount)
 

Detailed Description

SOLVER API.

geqrfStridedBatched computes the QR factorization of a batch of general m-by-n matrices.

The factorization of matrix \(A_i\) in the batch has the form

\[ A_i = Q_i\left[\begin{array}{c} R_i\newline 0 \end{array}\right] \]

where \(R_i\) is upper triangular (upper trapezoidal if m < n), and \(Q_i\) is a m-by-m orthogonal/unitary matrix represented as the product of Householder matrices

\[ Q_i = H_{i_1}H_{i_2}\cdots H_{i_k}, \quad \text{with} \: k = \text{min}(m,n) \]

Each Householder matrix \(H_{i_j}\) is given by

\[ H_{i_j} = I - \text{ipiv}_j[j] \cdot v_{i_j} v_{i_j}' \]

where the first j-1 elements of Householder vector \(v_{i_j}\) are zero, and \(v_{i_j}[j] = 1\).

Parameters
[in]handlehipblasHandle_t.
[in]mint. m >= 0.
The number of rows of all the matrices A_i in the batch.
[in]nint. n >= 0.
The number of columns of all the matrices A_i in the batch.
[in,out]Apointer to type. Array on the GPU (the size depends on the value of strideA).
On entry, the m-by-n matrices A_i to be factored. On exit, the elements on and above the diagonal contain the factor R_i. The elements below the diagonal are the last m - j elements of Householder vector v_(i_j).
[in]ldaint. lda >= m.
Specifies the leading dimension of matrices A_i.
[in]strideAhipblasStride.
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.
[out]ipivpointer to type. Array on the GPU (the size depends on the value of strideP).
Contains the vectors ipiv_i of corresponding Householder scalars.
[in]stridePhipblasStride.
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 is strideP >= min(m,n).
[out]infopointer to a int on the host.
If info = 0, successful exit. If info = k < 0, the k-th argument is invalid.
[in]batchCountint. batchCount >= 0.
Number of matrices in the batch.

Member Function/Subroutine Documentation

◆ hipblaszgeqrfstridedbatched_()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszgeqrfstridedbatched::hipblaszgeqrfstridedbatched_ ( type(c_ptr), value  handle,
integer(c_int), value  m,
integer(c_int), value  n,
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  myInfo,
integer(c_int), value  batchCount 
)

◆ hipblaszgeqrfstridedbatched_full_rank()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszgeqrfstridedbatched::hipblaszgeqrfstridedbatched_full_rank ( type(c_ptr)  handle,
integer(c_int)  m,
integer(c_int)  n,
complex(c_double_complex), dimension(:,:), target  A,
integer(c_int)  lda,
integer(c_int64_t)  strideA,
type(c_ptr)  ipiv,
integer(c_int64_t)  strideP,
type(c_ptr)  myInfo,
integer(c_int)  batchCount 
)

◆ hipblaszgeqrfstridedbatched_rank_0()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszgeqrfstridedbatched::hipblaszgeqrfstridedbatched_rank_0 ( type(c_ptr)  handle,
integer(c_int)  m,
integer(c_int)  n,
complex(c_double_complex), target  A,
integer(c_int)  lda,
integer(c_int64_t)  strideA,
type(c_ptr)  ipiv,
integer(c_int64_t)  strideP,
type(c_ptr)  myInfo,
integer(c_int)  batchCount 
)

◆ hipblaszgeqrfstridedbatched_rank_1()

integer(kind(hipblas_status_success)) function hipfort_hipblas::hipblaszgeqrfstridedbatched::hipblaszgeqrfstridedbatched_rank_1 ( type(c_ptr)  handle,
integer(c_int)  m,
integer(c_int)  n,
complex(c_double_complex), dimension(:), target  A,
integer(c_int)  lda,
integer(c_int64_t)  strideA,
type(c_ptr)  ipiv,
integer(c_int64_t)  strideP,
type(c_ptr)  myInfo,
integer(c_int)  batchCount 
)

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