geqrf#
Computes the QR factorization of a general \(m \times n\) matrix.
Description
geqrf
supports the following precisions:
T |
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The routine forms the QR factorization of a general \(m \times n\) matrix \(A\). No pivoting is performed.
The routine does not form the matrix \(Q\) explicitly. Instead, \(Q\) is represented as a product of \(\min(m, n)\) elementary reflectors. Routines are provided to work with \(Q\) in this representation.
geqrf (Buffer Version)#
Syntax
namespace oneapi::mkl::lapack {
void geqrf(cl::sycl::queue &queue, std::int64_t m, std::int64_t n, 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.
- m
The number of rows in the matrix \(A\) (\(0 \le m\)).
- n
The number of columns in \(A\) (\(0 \le n\)).
- a
Buffer holding input matrix \(A\). Must have size at least \(\text{lda} \cdot n\).
- lda
The leading dimension of \(A\); at least \(\max(1, m)\).
- 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_scratchpad_size function.
Output Parameters
- a
Output buffer, overwritten by the factorization data as follows:
The elements on and above the diagonal of the array contain the \(\min(m,n) \times n\) upper trapezoidal matrix \(R\) (\(R\) is upper triangular if \(m \ge n\)); the elements below the diagonal, with the array tau, represent the orthogonal matrix \(Q\) as a product of \(\min(m,n)\) elementary reflectors.
- tau
Output buffer, size at least \(\max(1, \min(m, n))\). Contains scalars that define elementary reflectors for the matrix \(Q\) in its decomposition in a product of elementary reflectors.
- 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
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.
geqrf (USM Version)#
Syntax
namespace oneapi::mkl::lapack {
cl::sycl::event geqrf(cl::sycl::queue &queue, std::int64_t m, std::int64_t n, T *a, std::int64_t lda, T *tau, T *scratchpad, std::int64_t scratchpad_size, const std::vector<cl::sycl::event> &events = {})
}
Input Parameters
- queue
The queue where the routine should be executed.
- m
The number of rows in the matrix \(A\) (\(0 \le m\)).
- n
The number of columns in \(A\) (\(0 \le n\)).
- a
Pointer to memory holding input matrix \(A\). Must have size at least \(\text{lda} \cdot n\).
- lda
The leading dimension of \(A\); at least \(\max(1, m)\).
- 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_scratchpad_size function.- 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 \(\min(m,n) \times n\) upper trapezoidal matrix \(R\) (\(R\) is upper triangular if \(m \ge n\)); the elements below the diagonal, with the array tau, represent the orthogonal matrix \(Q\) as a product of \(\min(m,n)\) elementary reflectors.
- tau
Array, size at least \(\max(1, \min(m, n))\). Contains scalars that define elementary reflectors for the matrix \(Q\) in its decomposition in a product of elementary reflectors.
- 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
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 Linear Equation Routines