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Ginkgo
Generated from pipelines/1330831941 branch based on master. Ginkgo version 1.8.0
A numerical linear algebra library targeting many-core architectures
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5 #ifndef GKO_PUBLIC_CORE_LOG_CONVERGENCE_HPP_
6 #define GKO_PUBLIC_CORE_LOG_CONVERGENCE_HPP_
12 #include <ginkgo/core/log/logger.hpp>
13 #include <ginkgo/core/matrix/dense.hpp>
14 #include <ginkgo/core/stop/criterion.hpp>
37 template <
typename ValueType = default_precision>
42 const LinOp* residual,
const LinOp* residual_norm,
43 const LinOp* solution,
const uint8& stopping_id,
45 const bool& one_changed,
const bool& all_stopped)
const override;
49 const LinOp* residual,
const LinOp* residual_norm,
50 const LinOp* implicit_sq_resnorm,
const LinOp* solution,
51 const uint8& stopping_id,
const bool& set_finalized,
53 const bool& all_stopped)
const override;
57 const LinOp* residual,
58 const LinOp* residual_norm,
59 const LinOp* implicit_resnorm_sq,
61 bool stopped)
const override;
73 GKO_DEPRECATED(
"use single-parameter create")
77 Logger::iteration_complete_mask)
79 return std::unique_ptr<Convergence>(
new Convergence(enabled_events));
91 static std::unique_ptr<Convergence>
create(
93 Logger::iteration_complete_mask)
95 return std::unique_ptr<Convergence>(
new Convergence(enabled_events));
117 return num_iterations_;
134 return residual_norm_.get();
144 return implicit_sq_resnorm_.get();
155 GKO_DEPRECATED(
"use single-parameter constructor")
159 Logger::iteration_complete_mask)
169 explicit Convergence(
171 Logger::iteration_complete_mask)
172 : Logger(enabled_events)
176 mutable bool convergence_status_{
false};
178 mutable std::unique_ptr<LinOp> residual_{};
179 mutable std::unique_ptr<LinOp> residual_norm_{};
180 mutable std::unique_ptr<LinOp> implicit_sq_resnorm_{};
188 #endif // GKO_PUBLIC_CORE_LOG_CONVERGENCE_HPP_
std::uint8_t uint8
8-bit unsigned integral type.
Definition: types.hpp:137
const LinOp * get_residual() const noexcept
Returns the residual.
Definition: convergence.hpp:125
static std::unique_ptr< Convergence > create(std::shared_ptr< const Executor >, const mask_type &enabled_events=Logger::criterion_events_mask|Logger::iteration_complete_mask)
Creates a convergence logger.
Definition: convergence.hpp:74
Definition: lin_op.hpp:118
const size_type & get_num_iterations() const noexcept
Returns the number of iterations.
Definition: convergence.hpp:115
void reset_convergence_status()
Resets the convergence status to false.
Definition: convergence.hpp:108
const LinOp * get_implicit_sq_resnorm() const noexcept
Returns the implicit squared residual norm.
Definition: convergence.hpp:142
Stopping criterion events.
std::size_t size_type
Integral type used for allocation quantities.
Definition: types.hpp:108
The Ginkgo namespace.
Definition: abstract_factory.hpp:20
An array is a container which encapsulates fixed-sized arrays, stored on the Executor tied to the arr...
Definition: array.hpp:27
static constexpr mask_type criterion_events_mask
Bitset Mask which activates all criterion events.
Definition: logger.hpp:636
Convergence is a Logger which logs data strictly from the criterion_check_completed event.
Definition: convergence.hpp:38
static std::unique_ptr< Convergence > create(const mask_type &enabled_events=Logger::criterion_events_mask|Logger::iteration_complete_mask)
Creates a convergence logger.
Definition: convergence.hpp:91
bool has_converged() const noexcept
Returns true if the solver has converged.
Definition: convergence.hpp:103
Definition: logger.hpp:76
void on_criterion_check_completed(const stop::Criterion *criterion, const size_type &num_iterations, const LinOp *residual, const LinOp *residual_norm, const LinOp *solution, const uint8 &stopping_id, const bool &set_finalized, const array< stopping_status > *status, const bool &one_changed, const bool &all_stopped) const override
stop::Criterion's check completed event.
The Criterion class is a base class for all stopping criteria.
Definition: criterion.hpp:36
The first step in using the Ginkgo library consists of creating an executor.
Definition: executor.hpp:616
const LinOp * get_residual_norm() const noexcept
Returns the residual norm.
Definition: convergence.hpp:132
void on_iteration_complete(const LinOp *solver, const LinOp *b, const LinOp *x, const size_type &num_iterations, const LinOp *residual, const LinOp *residual_norm, const LinOp *implicit_resnorm_sq, const array< stopping_status > *status, bool stopped) const override
Register the iteration_complete event which logs every completed iterations.