matrix_norm.hpp File Reference

LAPACK backend for dense matrix norms. More...

#include "common.hpp"
#include <uni20/backend/lapack/lapack.hpp>
#include <uni20/core/scalar_concepts.hpp>
#include <uni20/core/scalar_traits.hpp>
#include <uni20/linalg/backends/reduction_output.hpp>
#include <uni20/linalg/blas/mdspan_matrix.hpp>
#include <uni20/linalg/dispatch.hpp>
#include <uni20/linalg/operation_tags.hpp>
#include <uni20/mdspan/concepts.hpp>
#include <uni20/tensor/access.hpp>
#include <uni20/tensor/concepts.hpp>
#include <algorithm>
#include <cstddef>
#include <type_traits>
#include <utility>
#include <vector>

Include dependency graph for backends/lapack/matrix_norm.hpp:

This graph shows which files directly or indirectly include this file:

Go to the source code of this file.

Namespaces
namespace	uni20
namespace	uni20::linalg
namespace	uni20::linalg::lapack_detail

Functions
template<class Output , uni20::RankedStridedMdspecLike< 2 > MatrixMdspec> requires reduction_detail::HostOutput<Output> && uni20::HostReadableMdspec<MatrixMdspec>
consteval auto	uni20::linalg::kernel_accepts_types (LapackBackend const &, matrix_norm_op const &, Output &, MatrixMdspec &)
	Report eligibility for a host-accessible LAPACK matrix norm.
char	uni20::linalg::lapack_detail::lapack_matrix_norm (MatrixNorm kind, bool transposed)
template<class Output , class MatrixMdspan >
consteval auto	uni20::linalg::lapack_detail::matrix_norm_acceptance ()
template<class Output , uni20::RankedStridedMdspecLike< 2 > MatrixMdspec> requires reduction_detail::HostOutput<Output> && uni20::HostReadableMdspec<MatrixMdspec>
KernelAttempt	uni20::linalg::try_kernel (LapackBackend, matrix_norm_op const &operation, Output &output, MatrixMdspec &matrix)
	Resolve host access and compute a matrix norm through LAPACK.
template<class Output , uni20::RankedStridedMdspanLike< 2 > MatrixMdspan>
KernelAttempt	uni20::linalg::lapack_detail::try_matrix_norm (matrix_norm_op const &operation, Output &output, MatrixMdspan &matrix)

Detailed Description

LAPACK backend for dense matrix norms.