truncated_svd.hpp File Reference

Async Tensor wrappers for truncated dense singular value decompositions. More...

#include <uni20/async/async.hpp>
#include <uni20/async/debug_scheduler.hpp>
#include <uni20/linalg/async/svd.hpp>
#include <uni20/linalg/ops/truncated_svd.hpp>
#include <type_traits>
#include <utility>

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Namespaces
namespace	uni20
namespace	uni20::linalg

Functions
template<RankedTensorView< 2 > Matrix>
auto	uni20::linalg::truncated_svd (async::Async< Matrix > &&matrix, Precision p, SvdTruncationPolicy< make_real_t< tensor_element_t< Matrix > > > policy={})
	Compute and truncate at explicit working precision; cutoff scalars retain their precision rules.
template<RankedTensorView< 2 > Matrix>
auto	uni20::linalg::truncated_svd (async::Async< Matrix > const &matrix, Precision p, SvdTruncationPolicy< make_real_t< tensor_element_t< Matrix > > > policy={})
	Compute and truncate at explicit working precision; cutoff scalars retain their precision rules.
template<class MatrixTensor > requires uni20::OwningTensor<MatrixTensor> && uni20::MutableRankedTensorView<MatrixTensor, 2>
auto	uni20::linalg::truncated_svd (async::Async< MatrixTensor > &&matrix, detail::svd_truncation_policy_t< MatrixTensor > policy={}, std::optional< Precision > requested={})
	Schedule a consuming truncated SVD using the static Tensor selector.
template<uni20::RankedTensorView< 2 > MatrixTensor>
auto	uni20::linalg::truncated_svd (async::Async< MatrixTensor > const &matrix, detail::svd_truncation_policy_t< MatrixTensor > policy={}, std::optional< Precision > requested={})
	Schedule a preserving truncated SVD using the static Tensor selector.
template<KernelBackendSelector BackendSelector, class MatrixTensor > requires uni20::OwningTensor<MatrixTensor> && uni20::MutableRankedTensorView<MatrixTensor, 2>
auto	uni20::linalg::truncated_svd (BackendSelector selector, async::Async< MatrixTensor > &&matrix, detail::svd_truncation_policy_t< MatrixTensor > policy={}, std::optional< Precision > requested={})
	Schedule a consuming truncated SVD through an explicit selector.
template<KernelBackendSelector BackendSelector, uni20::RankedTensorView< 2 > MatrixTensor>
auto	uni20::linalg::truncated_svd (BackendSelector selector, async::Async< MatrixTensor > const &matrix, detail::svd_truncation_policy_t< MatrixTensor > policy={}, std::optional< Precision > requested={})
	Schedule a preserving truncated SVD through an explicit selector.
template<KernelBackendSelector Selector, RankedTensorView< 2 > Matrix>
auto	uni20::linalg::truncated_svd (Selector &&selector, async::Async< Matrix > &&matrix, Precision p, SvdTruncationPolicy< make_real_t< tensor_element_t< Matrix > > > policy={})
	Compute and truncate at explicit working precision; cutoff scalars retain their precision rules.
template<KernelBackendSelector Selector, RankedTensorView< 2 > Matrix>
auto	uni20::linalg::truncated_svd (Selector &&selector, async::Async< Matrix > const &matrix, Precision p, SvdTruncationPolicy< make_real_t< tensor_element_t< Matrix > > > policy={})
	Compute and truncate at explicit working precision; cutoff scalars retain their precision rules.

Detailed Description

Async Tensor wrappers for truncated dense singular value decompositions.

Precision may be inferred from the input matrix or supplied explicitly. Fixed results require their native precision; runtime decompositions require finite precision. Owning results record the selected default. Inference occurs only after the input epoch is readable.