13template <MutableRankedMdspecLike<2> A>
14 requires HostWritableMdspec<A> && mpfr_detail::RuntimeScalar<typename A::value_type>
22template <MutableRankedMdspecLike<2> A>
28 detail::require_lu_shape(a, pivots.size());
29 detail::require_solve_options(options);
31 auto s = access.mdspan();
33 if (!detail::solve_matrix_is_finite(s))
38 auto work = mpfr_detail::pack(s,
p);
39 if (!detail::solve_matrix_is_finite(work.mdspan()))
44 detail::capture_lu_norms(work.mdspan(), norms,
mpreal(0,
p));
45 auto scale = detail::lu_input_scale(work.mdspan(),
mpreal(0,
p));
47 std::vector<std::size_t> provider_pivots;
49 mpfr_detail::unpack(work, s);
50 std::copy(provider_pivots.begin(), provider_pivots.end(), pivots.begin());
51 if (!detail::solve_matrix_is_finite(work.mdspan()))
56 detail::check_lu_diagonal(work.mdspan(),
scale, tolerance, info);
61template <RankedMdspecLike<2> A, MutableRankedMdspecLike<2> B>
63 std::same_as<typename A::value_type, typename B::value_type>
72template <RankedMdspecLike<2> A, MutableRankedMdspecLike<2> B>
74 std::same_as<typename A::value_type, typename B::value_type>
79 detail::require_lu_solve_shape(a, pivots, b);
84 auto as = aa.mdspan();
85 auto bs = ba.mdspan();
86 if (!detail::solve_matrix_is_finite(bs))
91 auto av = mpfr_detail::pack(as,
p);
92 auto bv = mpfr_detail::pack(bs,
p);
93 if (!detail::solve_matrix_is_finite(bv.mdspan()))
98 mplapack::getrs(pivots.size(), b.extent(1), mpfr_detail::values(std::as_const(av)), pivots, mpfr_detail::values(bv),
100 mpfr_detail::unpack(bv, bs);
RAII leases that resolve device descriptors and tensor views to mdspans.
Synchronous packed-array boundary to the serial MPFR/MPC provider.
Exact arithmetic or an explicit binary working precision.
Definition core/precision.hpp:13
Owning exact rational or finite-precision MPFR real, with eager arithmetic.
Definition mpreal.hpp:74
Mdspec metadata supporting host read acquisition.
Definition access.hpp:688
Mutable mdspec metadata supporting host write acquisition.
Definition access.hpp:694
Operation-tag backend dispatch over tensor-view operands.
Definition linalg/async.hpp:28
KernelAttempt try_kernel(BlasBackend, gemm_op const &, C &c, S const &alpha, A &a, B &b, S const &beta)
Pack logical host values and execute GEMM through value-preserving provider conversion.
Definition linalg/backends/blas/binary80.hpp:30
KernelAttempt
Result of one runtime kernel backend attempt.
Definition kernel_attempt.hpp:27
@ nonfinite_input
An input coefficient or RHS component was nonfinite; both workspaces are preserved.
@ singular
An exactly zero elimination pivot was found.
@ nonfinite_result
A factor, solution, reduction, or required magnitude became nonfinite.
consteval auto kernel_accepts_types(BlasBackend, gemm_op const &, C &, S const &, A &, B &, S const &)
Accept host-readable native binary80 operands, including transforming accessors.
Definition linalg/backends/blas/binary80.hpp:19
constexpr KernelAcceptance< KernelTypeAcceptance::yes > kernel_types_yes
Report that a backend accepts every instance of the argument types.
Definition dispatch_error.hpp:40
std::size_t getrf(std::size_t n, std::span< float80 > a, std::vector< std::size_t > &pivots)
Factor a square binary80 matrix, returning zero or a one-based singular pivot.
Definition binary80.cpp:203
void getrs(std::size_t n, std::size_t nrhs, std::span< float80 const > a, std::span< std::size_t const > pivots, std::span< float80 > b)
Solve from read-only binary80 LU factors and zero-based pivots.
Definition binary80.cpp:213
Definition data_table.cpp:8
auto acquire_host_read_access_sync(Mdspan const &mdspan)
Acquire a directly host-accessible read-only mdspan.
Definition access.hpp:616
auto acquire_host_write_access_sync(Mdspan &mdspan)
Acquire a directly host-accessible writable mdspan.
Definition access.hpp:626
Backend family for configured dense LAPACK kernels, including MPLAPACK scalar adapters.
Definition backend_selector.hpp:20
Original matrix norms after conversion to factor precision.
Definition lu_info.hpp:20
Diagnostics written by a completed numerical attempt, independent of dispatch.
Definition solve_info.hpp:41
Real-scalar pivot policy for a square linear solve.
Definition solve_info.hpp:62
Real relative_pivot_tolerance
Reject nonzero pivots at or below this fraction of the original maximum entry magnitude.
Definition solve_info.hpp:64
Fixed-output packed LU factorization with zero-based row-swap pivots.
Definition operation_tags.hpp:165
Solve using read-only packed LU factors, overwriting an existing RHS.
Definition operation_tags.hpp:171
Multiply one element value by a retained scalar factor.
Definition elementwise_functions.hpp:68