orgqr_batch_scratchpad_size#
Computes size of scratchpad memory required for the orgqr_batch function.
Description
orgqr_batch_scratchpad_size supports the following precisions.
T
float
double
Group API
Computes the number of elements of type T the scratchpad memory should able to hold to be passed to the Group API of the orgqr_batch function.
Syntax
namespace oneapi::mkl::lapack {
template <typename T>
std::int64_t orgqr_batch_scratchpad_size(sycl::queue &queue, std::int64_t *m, std::int64_t *n, std::int64_t *k, std::int64_t *lda, std::int64_t group_count, std::int64_t *group_sizes)
}
Input Parameters
- queue
Device queue where calculations will be performed.
- m
Array of
group_count\(m_g\) parameters.- n
Array of
group_count\(n_g\) parameters.- k
Array of
group_countkg parameters. The number of elementary reflectors whose product defines the matrices \(Q_i\) (\(0 \le k_g \le n_g\)).- lda
Array of leading dimensions of \(A_i\).
- group_count
Number of groups of parameters. Must be at least 0.
- group_sizes
Array of
group_countintegers. Array element with index \(g\) specifies the number of problems to solve for each of the groups of parameters \(g\). So the total number of problems to solve,batch_size, is a sum of all parameter group sizes.
Return Values
Number of elements of type T the scratchpad memory should able to hold to be passed to the Group API of the orgqr_batch function.
Strided API
Computes the number of elements of type T the scratchpad memory should able to hold to be passed to the Strided API of the orgqr_batch function.
Syntax
namespace oneapi::mkl::lapack {
template <typename T>
std::int64_t orgqr_batch_scratchpad_size(sycl::queue &queue, std::int64_t m, std::int64_t n, std::int64_t k, std::int64_t lda, std::int64_t stride_a, std::int64_t stride_tau, std::int64_t batch_size)
};
Input Parameters
- queue
Device queue where calculations will be performed.
- m
Number of rows in the matrices \(A_i\) (\(0 \le m\)).
- n
Number of columns in the matrices Ai (\(0 \le n\)).
- k
Number of elementary reflectors whose product defines the matrices \(Q_i\) (\(0 \le k \le n\)).
- lda
Leading dimension of \(A_i\) (\(\text{lda} \le m\)).
- stride_a
Stride between the beginnings of matrices \(A_i\) inside the batch array
a.- stride_tau
Stride between the beginnings of arrays \(tau_i\) inside the array
tau.- batch_size
Number of problems in a batch.
Return Values
Number of elements of type T the scratchpad memory should able to hold to be passed to the Strided API of the orgqr_batch function.
Parent topic: LAPACK-like Extensions Routines