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Ginkgo
Generated from pipelines/2969282958 branch based on develop. Ginkgo version 2.0.0
A numerical linear algebra library targeting many-core architectures
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5 #ifndef GKO_PUBLIC_CORE_SOLVER_IR_HPP_
6 #define GKO_PUBLIC_CORE_SOLVER_IR_HPP_
11 #include <ginkgo/core/base/exception_helpers.hpp>
12 #include <ginkgo/core/base/lin_op.hpp>
13 #include <ginkgo/core/base/types.hpp>
14 #include <ginkgo/core/config/config.hpp>
15 #include <ginkgo/core/config/registry.hpp>
16 #include <ginkgo/core/matrix/dense.hpp>
17 #include <ginkgo/core/matrix/identity.hpp>
18 #include <ginkgo/core/solver/solver_base.hpp>
19 #include <ginkgo/core/stop/combined.hpp>
20 #include <ginkgo/core/stop/criterion.hpp>
21 #include <ginkgo/core/stop/iteration.hpp>
91 template <
typename ValueType = default_precision>
98 GKO_ASSERT_SUPPORTED_VALUE_TYPE;
101 using value_type = ValueType;
104 std::unique_ptr<LinOp>
transpose()
const override;
115 return this->get_default_initial_guess() ==
124 std::shared_ptr<const LinOp>
get_solver()
const {
return solver_; }
131 void set_solver(std::shared_ptr<const LinOp> new_solver);
170 std::shared_ptr<const LinOpFactory> GKO_DEFERRED_FACTORY_PARAMETER(
224 config::make_type_descriptor<ValueType>());
227 void apply_impl(
const LinOp* b,
LinOp* x)
const override;
229 template <
typename VectorType>
230 void apply_dense_impl(
const VectorType* b, VectorType* x,
234 LinOp* x)
const override;
236 void apply_with_initial_guess_impl(
const LinOp* b,
LinOp* x,
239 void apply_with_initial_guess_impl(
const LinOp* alpha,
const LinOp* b,
243 void set_relaxation_factor(
246 explicit Ir(std::shared_ptr<const Executor> exec) :
LinOp(std::move(exec))
250 std::shared_ptr<const LinOp> system_matrix)
256 parameters_{factory->get_parameters()}
260 "inner_initial_guess must be initial_guess_mode::zero or "
261 "initial_guess_mode::rhs");
265 }
else if (parameters_.
solver) {
267 parameters_.
solver->generate(this->get_system_matrix()));
273 relaxation_factor_ = gko::initialize<matrix::Dense<ValueType>>(
278 std::shared_ptr<const LinOp> solver_{};
279 std::shared_ptr<const matrix::Dense<ValueType>> relaxation_factor_{};
283 template <
typename ValueType = default_precision>
284 using Richardson = Ir<ValueType>;
287 template <
typename ValueType>
291 static int num_vectors(
const Solver&);
293 static int num_arrays(
const Solver&);
295 static std::vector<std::string> op_names(
const Solver&);
297 static std::vector<std::string> array_names(
const Solver&);
299 static std::vector<int> scalars(
const Solver&);
301 static std::vector<int> vectors(
const Solver&);
304 constexpr
static int residual = 0;
306 constexpr
static int inner_solution = 1;
308 constexpr
static int one = 2;
310 constexpr
static int minus_one = 3;
313 constexpr
static int stop = 0;
327 template <
typename ValueType>
329 size_type iteration = 1, ValueType relaxation_factor = 0.9)
331 auto exec = factory->get_executor();
333 .with_solver(factory)
334 .with_relaxation_factor(relaxation_factor)
335 .with_criteria(gko::stop::Iteration::build().with_max_iters(iteration))
351 template <
typename ValueType>
353 size_type iteration = 1, ValueType relaxation_factor = 0.9)
355 auto exec = solver->get_executor();
357 .with_generated_solver(solver)
358 .with_relaxation_factor(relaxation_factor)
359 .with_criteria(gko::stop::Iteration::build().with_max_iters(iteration))
368 #endif // GKO_PUBLIC_CORE_SOLVER_IR_HPP_
EnableApplyWithInitialGuess providing default operation for ApplyWithInitialGuess with correct valida...
Definition: solver_base.hpp:170
Ir & operator=(const Ir &)
Copy-assigns an IR solver.
pnode describes a tree of properties.
Definition: property_tree.hpp:28
A LinOp deriving from this CRTP class stores a stopping criterion factory and allows applying with a ...
Definition: solver_base.hpp:729
Definition: lin_op.hpp:117
Dense is a matrix format which explicitly stores all values of the matrix.
Definition: dense_cache.hpp:28
static parameters_type parse(const config::pnode &config, const config::registry &context, const config::type_descriptor &td_for_child=config::make_type_descriptor< ValueType >())
Create the parameters from the property_tree.
Definition: solver_base.hpp:1125
Iterative refinement (IR) is an iterative method that uses another coarse method to approximate the e...
Definition: ir.hpp:92
std::shared_ptr< const LinOp > generated_solver
Already generated solver.
Definition: ir.hpp:178
Linear operators which support transposition should implement the Transposable interface.
Definition: lin_op.hpp:492
Ir(const Ir &)
Copy-constructs an IR solver.
std::size_t size_type
Integral type used for allocation quantities.
Definition: types.hpp:101
std::unique_ptr< LinOp > transpose() const override
Returns a LinOp representing the transpose of the Transposable object.
std::shared_ptr< const LinOp > get_solver() const
Returns the solver operator used as the inner solver.
Definition: ir.hpp:124
#define GKO_FACTORY_PARAMETER_SCALAR(_name, _default)
Creates a scalar factory parameter in the factory parameters structure.
Definition: abstract_factory.hpp:469
This class describes the value and index types to be used when building a Ginkgo type from a configur...
Definition: type_descriptor.hpp:39
The Ginkgo namespace.
Definition: abstract_factory.hpp:19
initial_guess_mode inner_initial_guess
Initial guess of the inner solver for each correction A * d = residual, if the inner solver uses an i...
Definition: ir.hpp:203
std::unique_ptr< LinOp > conj_transpose() const override
Returns a LinOp representing the conjugate transpose of the Transposable object.
#define GKO_ENABLE_LIN_OP_FACTORY(_lin_op, _parameters_name, _factory_name)
This macro will generate a default implementation of a LinOpFactory for the LinOp subclass it is defi...
Definition: lin_op.hpp:1094
std::shared_ptr< const CriterionFactory > combine(FactoryContainer &&factories)
Combines multiple criterion factories into a single combined criterion factory.
Definition: combined.hpp:105
auto build_smoother(std::shared_ptr< const LinOpFactory > factory, size_type iteration=1, ValueType relaxation_factor=0.9)
build_smoother gives a shortcut to build a smoother by IR(Richardson) with limited stop criterion(ite...
Definition: ir.hpp:328
static std::unique_ptr< Identity > create(std::shared_ptr< const Executor > exec, dim< 2 > size)
Creates an Identity matrix of the specified size.
void set_solver(std::shared_ptr< const LinOp > new_solver)
Sets the solver operator used as the inner solver.
A LinOp deriving from this CRTP class stores a system matrix.
Definition: solver_base.hpp:565
initial_guess_mode default_initial_guess
Default initial guess mode.
Definition: ir.hpp:191
This class stores additional context for creating Ginkgo objects from configuration files.
Definition: registry.hpp:167
bool apply_uses_initial_guess() const override
Return true as iterative solvers use the data in x as an initial guess.
Definition: ir.hpp:113
#define GKO_ENABLE_BUILD_METHOD(_factory_name)
Defines a build method for the factory, simplifying its construction by removing the repetitive typin...
Definition: abstract_factory.hpp:418
initial_guess_mode
Give a initial guess mode about the input of the apply method.
Definition: solver_base.hpp:39
ValueType relaxation_factor
Relaxation factor for Richardson iteration.
Definition: ir.hpp:184
std::shared_ptr< const LinOpFactory > solver
Inner solver factory.
Definition: ir.hpp:171
std::shared_ptr< const Executor > get_executor() const noexcept
Returns the Executor of the object.
Definition: polymorphic_object.hpp:69
Traits class providing information on the type and location of workspace vectors inside a solver.
Definition: solver_base.hpp:247
const dim< 2 > & get_size() const noexcept
Returns the size of the operator.
Definition: lin_op.hpp:169
constexpr T one()
Returns the multiplicative identity for T.
Definition: math.hpp:653