Visible to Intel only — GUID: GUID-D6A9BBE8-10E4-4412-A126-4E8E821A43BE
Visible to Intel only — GUID: GUID-D6A9BBE8-10E4-4412-A126-4E8E821A43BE
getri
Computes the inverse of an LU-factored general matrix determined by getrf. This routine belongs to the oneapi::mkl::lapack namespace.
Description
The routine computes the inverse inv(A) of a general matrix A. Before calling this routine, call getrf to factorize A.
API
Syntax
namespace oneapi::mkl::lapack { void getri(sycl::queue &queue, std::int64_t n, sycl::buffer<T> &a, std::int64_t lda, sycl::buffer<T> &ipiv, sycl::buffer<T> &scratchpad, std::int64_t scratchpad_size) }
getri supports the following precisions and devices:
T |
Devices supported |
---|---|
float |
CPU and GPU |
double |
CPU and GPU |
std::complex<float> |
CPU and GPU |
std::complex<double> |
CPU and GPU |
Input Parameters
- queue
-
Device queue where calculations will be performed.
- n
-
The order of the matrix A(0 ≤ n).
- a
-
The buffer returned by getrf. Must be of size at least lda*max(1,n).
- lda
-
The leading dimension of a(n ≤ lda).
- ipiv
-
Buffer holding the array as returned by getrf. The dimension of the array must be at least max(1, n).
- scratchpad
-
Pointer to scratchpad memory to be used by the 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 the getri_scratchpad_size function.
Output Parameters
- a
-
Overwritten by the n-by-n matrix A.
Exceptions
Exception |
Description |
---|---|
mkl::lapack::exception |
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 info = -i, the i-th parameter had an illegal value. If info is equal to the value passed as scratchpad size, and detail() returns non zero, then the passed scratchpad has an insufficient size, and the required size should not be less than the value returned by the detail() method of the exception object. |
Known Limitations
GPU support is for only real precisions.
For GPU support, errors are reported through the info parameter, but computation does not halt for an algorithmic error.