orgbr¶
Generates the real orthogonal matrix \(Q\) or \(P^{T}\) determined by gebrd.
orgbr
supports the following precisions.
T
float
double
Description
The routine generates the whole or part of the orthogonal matrices \(Q\) and \(P^{T}\) formed by the routines gebrd. All valid combinations of arguments are described in Input parameters. In most cases you need the following:
To compute the whole \(m \times m\) matrix \(Q\):
orgbr(queue, generate::q, m, m, n, a, ...)
(note that the array a
must have at least \(m\) columns).
To form the \(n\) leading columns of \(Q\) if \(m > n\):
orgbr(queue, generate::q, m, n, n, a, ...)
To compute the whole \(n \times n\) matrix \(P^{T}\):
orgbr(queue, generate::p, n, n, m, a, ...)
(note that the array a
must have at least \(n\) rows).
To form the \(m\) leading rows of \(P^{T}\) if \(m < n\):
orgbr(queue, generate::p, m, n, m, a, ...)
orgbr (Buffer Version)¶
Syntax
namespace oneapi::mkl::lapack {
void orgbr(cl::sycl::queue &queue, onemkl::generate gen, std::int64_t m, std::int64_t n, std::int64_t k, cl::sycl::buffer<T,1> &a, std::int64_t lda, cl::sycl::buffer<T,1> &tau, cl::sycl::buffer<T,1> &scratchpad, std::int64_t scratchpad_size)
}
Input Parameters
- queue
The queue where the routine should be executed.
- gen
Must be
generate::q
orgenerate::p
.If
gen = generate::q
, the routine generates the matrix \(Q\).If
gen = generate::p
, the routine generates the matrix \(P^{T}\).- m
The number of rows in the matrix \(Q\) or \(P^{T}\) to be returned \((0 \le m)\).
If
gen = generate::q
, \(m \le n \le \min(m, k)\).If
gen = generate::p
, \(n \le m \le \min(n, k)\).- n
The number of rows in the matrix \(Q\) or \(P^{T}\) to be returned \((0 \le n)\). See m for constraints.
- k
If
gen = generate::q
, the number of columns in the original \(m \times k\) matrix reduced by gebrd.If
gen = generate::p
, the number of rows in the original \(k \times n\) matrix reduced by gebrd.- a
The buffer
a
as returned by gebrd.- lda
The leading dimension of
a
.- tau
Buffer, size \(\min(m,k)\) if
gen = generate::q
, size \(\min(n,k)\) ifgen = generate::p
. Scalar factor of the elementary reflectors, as returned by gebrd in the array tauq or taup.- 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 orgbr_scratchpad_size function.
Output Parameters
- a
Overwritten by n leading columns of the \(m \times m\) orthogonal matrix \(Q\) or \(P^{T}\) (or the leading rows or columns thereof) as specified by
gen
,m
, andn
.- scratchpad
Buffer holding scratchpad memory to be used by routine for storing intermediate results.
Throws
This routine shall throw the following exceptions if the associated condition is detected. An implementation may throw additional implementation-specific exception(s) in case of error conditions not covered here.
oneapi::mkl::unsupported_device
oneapi::mkl::lapack::invalid_argument
oneapi::mkl::lapack::computation_error
Exception is thrown in case of problems during calculations. The
info
code of the problem can be obtained by info() method of exception object:If \(\text{info}=-i\), the \(i\)-th parameter had an illegal value.
If
info
equals to value passed as scratchpad size, and detail() returns non zero, then passed scratchpad is of insufficient size, and required size should not be less than value return by detail() method of exception object.
orgbr (USM Version)¶
Syntax
namespace oneapi::mkl::lapack {
cl::sycl::event orgbr(cl::sycl::queue &queue, onemkl::generate gen, std::int64_t m, std::int64_t n, std::int64_t k, T *a, std::int64_t lda, T *tau, T *scratchpad, std::int64_t scratchpad_size, const cl::sycl::vector_class<cl::sycl::event> &events = {})
}
Input Parameters
- queue
The queue where the routine should be executed.
- gen
Must be
generate::q
orgenerate::p
.If
gen = generate::q
, the routine generates the matrix \(Q\).If
gen = generate::p
, the routine generates the matrix \(P^{T}\).- m
The number of rows in the matrix \(Q\) or \(P^{T}\) to be returned \((0 \le m)\).
If
gen = generate::q
, \(m \le n \le \min(m, k)\).If
gen = generate::p
, \(n \le m \le \min(n, k)\).- n
The number of rows in the matrix \(Q\) or \(P^{T}\) to be returned \((0 \le n)\). See m for constraints.
- k
If
gen = generate::q
, the number of columns in the original \(m \times k\) matrix reduced by gebrd.If
gen = generate::p
, the number of rows in the original \(k \times n\) matrix reduced by gebrd.- a
Pointer to array
a
as returned by gebrd.- lda
The leading dimension of
a
.- tau
Pointer to array of size \(\min(m,k)\) if
gen = generate::q
, size \(\min(n,k)\) ifgen = generate::p
. Scalar factor of the elementary reflectors, as returned by gebrd in the array tauq or taup.- 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 orgbr_scratchpad_size function.- events
List of events to wait for before starting computation. Defaults to empty list.
Output Parameters
- a
Overwritten by n leading columns of the \(m \times m\) orthogonal matrix \(Q\) or \(P^{T}\) (or the leading rows or columns thereof) as specified by
gen
,m
, andn
.- scratchpad
Pointer to scratchpad memory to be used by routine for storing intermediate results.
Throws
This routine shall throw the following exceptions if the associated condition is detected. An implementation may throw additional implementation-specific exception(s) in case of error conditions not covered here.
oneapi::mkl::unsupported_device
oneapi::mkl::lapack::invalid_argument
oneapi::mkl::lapack::computation_error
Exception is thrown in case of problems during calculations. The
info
code of the problem can be obtained by info() method of exception object:If \(\text{info}=-i\), the \(i\)-th parameter had an illegal value.
If
info
equals to value passed as scratchpad size, and detail() returns non zero, then passed scratchpad is of insufficient size, and required size should not be less than value return by detail() method of exception object.
Return Values
Output event to wait on to ensure computation is complete.
Parent topic: LAPACK Singular Value and Eigenvalue Problem Routines