geqrf_batch (USM Strided Version)¶
Computes the batch of QR factorizations of a general m-by-n matrices.
This routine belongs to the oneapi::mkl::lapack
namespace.
Description¶
The routine forms the Q
iR
i factorizations
of a general m
-by-n
matrix A
i. No pivoting is
performed.
The routine does not form the matrix Q
i explicitly.
Instead, Q
i is represented as a product of min(m
,
n
) elementary reflectors. Routines are provided to work with
Q
i in this representation.
API¶
Syntax¶
namespace oneapi::mkl::lapack {
cl::sycl::event geqrf_batch(cl::sycl::queue &queue,
std::int64_t m,
std::int64_t n,
T *a,
std::int64_t lda,
std::int64_t stride_a,
T *tau,
std::int64_t stride_tau,
std::int64_t batch_size,
T *scratchpad,
std::int64_t scratchpad_size,
const std::vector<cl::sycl::event> &events = {})
}
Function supports the following precisions and devices.
T |
Devices supported |
---|---|
|
Host, CPU, and GPU |
|
Host, CPU, and GPU |
|
Host, CPU, and GPU |
|
Host, CPU, and GPU |
Input Parameters¶
- queue
Device queue where calculations will be performed.
- m
The number of rows in the matrices
A
i (0 ≤ m
).- n
The number of columns in the matrices
A
i (0 ≤ n
).- a
Array holding input matrices
A
i.- lda
The leading dimension of
A
i .- stride_a
The stride between the beginnings of matrices
A
i inside the batch arraya
.- stride_tau
The stride between the beginnings of arrays
tau
i inside the arraytau
.- batch_size
Specifies the number of problems in a batch.
- scratchpad
Scratchpad memory to be used by routine for storing intermediate results.
- scratchpad_size
Size of scratchpad memory as a number of floating point elements of type
T
. Size should not be less than the value returned by geqrf_batch_scratchpad_size (Strided Version).- events
List of events to wait for before starting computation. Defaults to empty list.
Output Parameters¶
- a
Overwritten by the factorization data as follows:
The elements on and above the diagonal of the array contain the
min(m,n)
-by-n
upper trapezoidal matricesR
i (R
i is upper triangular ifm≥n
); the elements below the diagonal, with the array taui
, present the orthogonal matrixQ
i as a product ofmin(m,n)
elementary reflectors.- tau
Array to store batch of
tau
i, each of sizemin(m,n)
, containing scalars that define elementary reflectors for the matricesQ
i in its decomposition in a product of elementary reflectors.
Exceptions¶
Exception |
Description |
---|---|
|
This exception is thrown when problems occur during calculations. You can obtain the info code of the problem using the info() method of the exception object: If If |
Return Values¶
Output event to wait on to ensure computation is complete.