Ginkgo  Generated from pipelines/2837190956 branch based on develop. Ginkgo version 2.0.0
A numerical linear algebra library targeting many-core architectures
ir.hpp
1 // SPDX-FileCopyrightText: 2017 - 2026 The Ginkgo authors
2 //
3 // SPDX-License-Identifier: BSD-3-Clause
4 
5 #ifndef GKO_PUBLIC_CORE_SOLVER_IR_HPP_
6 #define GKO_PUBLIC_CORE_SOLVER_IR_HPP_
7 
8 
9 #include <vector>
10 
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>
22 
23 
24 namespace gko {
25 namespace solver {
26 
27 
91 template <typename ValueType = default_precision>
92 class Ir : public LinOp,
93  public EnableSolverBase<Ir<ValueType>>,
94  public EnableIterativeBase<Ir<ValueType>>,
95  public EnableApplyWithInitialGuess<Ir<ValueType>>,
96  public Transposable {
97  friend class EnableApplyWithInitialGuess<Ir>;
98  GKO_ASSERT_SUPPORTED_VALUE_TYPE;
99 
100 public:
101  using value_type = ValueType;
103 
104  std::unique_ptr<LinOp> transpose() const override;
105 
106  std::unique_ptr<LinOp> conj_transpose() const override;
107 
113  bool apply_uses_initial_guess() const override
114  {
115  return this->get_default_initial_guess() ==
117  }
118 
124  std::shared_ptr<const LinOp> get_solver() const { return solver_; }
125 
131  void set_solver(std::shared_ptr<const LinOp> new_solver);
132 
139  Ir& operator=(const Ir&);
140 
148  Ir& operator=(Ir&&);
149 
154  Ir(const Ir&);
155 
161  Ir(Ir&&);
162 
163  class Factory;
164 
166  : enable_iterative_solver_factory_parameters<parameters_type, Factory> {
170  std::shared_ptr<const LinOpFactory> GKO_DEFERRED_FACTORY_PARAMETER(
172 
177  std::shared_ptr<const LinOp> GKO_FACTORY_PARAMETER_SCALAR(
178  generated_solver, nullptr);
179 
184  value_type{1});
185 
192  };
195 
209  static parameters_type parse(const config::pnode& config,
210  const config::registry& context,
211  const config::type_descriptor& td_for_child =
212  config::make_type_descriptor<ValueType>());
213 
214 protected:
215  void apply_impl(const LinOp* b, LinOp* x) const override;
216 
217  template <typename VectorType>
218  void apply_dense_impl(const VectorType* b, VectorType* x,
219  initial_guess_mode guess) const;
220 
221  void apply_impl(const LinOp* alpha, const LinOp* b, const LinOp* beta,
222  LinOp* x) const override;
223 
224  void apply_with_initial_guess_impl(const LinOp* b, LinOp* x,
225  initial_guess_mode guess) const override;
226 
227  void apply_with_initial_guess_impl(const LinOp* alpha, const LinOp* b,
228  const LinOp* beta, LinOp* x,
229  initial_guess_mode guess) const override;
230 
231  void set_relaxation_factor(
232  std::shared_ptr<const matrix::Dense<ValueType>> new_factor);
233 
234  explicit Ir(std::shared_ptr<const Executor> exec) : LinOp(std::move(exec))
235  {}
236 
237  explicit Ir(const Factory* factory,
238  std::shared_ptr<const LinOp> system_matrix)
239  : LinOp(factory->get_executor(),
240  gko::transpose(system_matrix->get_size())),
241  EnableSolverBase<Ir>{std::move(system_matrix)},
243  stop::combine(factory->get_parameters().criteria)},
244  parameters_{factory->get_parameters()}
245  {
246  if (parameters_.generated_solver) {
247  this->set_solver(parameters_.generated_solver);
248  } else if (parameters_.solver) {
249  this->set_solver(
250  parameters_.solver->generate(this->get_system_matrix()));
251  } else {
253  this->get_executor(), this->get_size()[0]));
254  }
255  this->set_default_initial_guess(parameters_.default_initial_guess);
256  relaxation_factor_ = gko::initialize<matrix::Dense<ValueType>>(
257  {parameters_.relaxation_factor}, this->get_executor());
258  }
259 
260 private:
261  std::shared_ptr<const LinOp> solver_{};
262  std::shared_ptr<const matrix::Dense<ValueType>> relaxation_factor_{};
263 };
264 
265 
266 template <typename ValueType = default_precision>
267 using Richardson = Ir<ValueType>;
268 
269 
270 template <typename ValueType>
271 struct workspace_traits<Ir<ValueType>> {
272  using Solver = Ir<ValueType>;
273  // number of vectors used by this workspace
274  static int num_vectors(const Solver&);
275  // number of arrays used by this workspace
276  static int num_arrays(const Solver&);
277  // array containing the num_vectors names for the workspace vectors
278  static std::vector<std::string> op_names(const Solver&);
279  // array containing the num_arrays names for the workspace vectors
280  static std::vector<std::string> array_names(const Solver&);
281  // array containing all varying scalar vectors (independent of problem size)
282  static std::vector<int> scalars(const Solver&);
283  // array containing all varying vectors (dependent on problem size)
284  static std::vector<int> vectors(const Solver&);
285 
286  // residual vector
287  constexpr static int residual = 0;
288  // inner solution vector
289  constexpr static int inner_solution = 1;
290  // constant 1.0 scalar
291  constexpr static int one = 2;
292  // constant -1.0 scalar
293  constexpr static int minus_one = 3;
294 
295  // stopping status array
296  constexpr static int stop = 0;
297 };
298 
299 
310 template <typename ValueType>
311 auto build_smoother(std::shared_ptr<const LinOpFactory> factory,
312  size_type iteration = 1, ValueType relaxation_factor = 0.9)
313 {
314  auto exec = factory->get_executor();
315  return Ir<ValueType>::build()
316  .with_solver(factory)
317  .with_relaxation_factor(relaxation_factor)
318  .with_criteria(gko::stop::Iteration::build().with_max_iters(iteration))
319  .on(exec);
320 }
321 
334 template <typename ValueType>
335 auto build_smoother(std::shared_ptr<const LinOp> solver,
336  size_type iteration = 1, ValueType relaxation_factor = 0.9)
337 {
338  auto exec = solver->get_executor();
339  return Ir<ValueType>::build()
340  .with_generated_solver(solver)
341  .with_relaxation_factor(relaxation_factor)
342  .with_criteria(gko::stop::Iteration::build().with_max_iters(iteration))
343  .on(exec);
344 }
345 
346 
347 } // namespace solver
348 } // namespace gko
349 
350 
351 #endif // GKO_PUBLIC_CORE_SOLVER_IR_HPP_
gko::solver::Ir::Factory
Definition: ir.hpp:193
gko::solver::EnableApplyWithInitialGuess
EnableApplyWithInitialGuess providing default operation for ApplyWithInitialGuess with correct valida...
Definition: solver_base.hpp:161
gko::solver::Ir::operator=
Ir & operator=(const Ir &)
Copy-assigns an IR solver.
gko::config::pnode
pnode describes a tree of properties.
Definition: property_tree.hpp:28
gko::log::profile_event_category::solver
Solver events.
gko::solver::EnableIterativeBase
A LinOp deriving from this CRTP class stores a stopping criterion factory and allows applying with a ...
Definition: solver_base.hpp:718
gko::LinOp
Definition: lin_op.hpp:117
gko::matrix::Dense
Dense is a matrix format which explicitly stores all values of the matrix.
Definition: dense_cache.hpp:28
gko::solver::Ir::parse
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.
gko::solver::enable_iterative_solver_factory_parameters
Definition: solver_base.hpp:844
gko::solver::Ir
Iterative refinement (IR) is an iterative method that uses another coarse method to approximate the e...
Definition: ir.hpp:92
gko::solver::Ir::parameters_type::generated_solver
std::shared_ptr< const LinOp > generated_solver
Already generated solver.
Definition: ir.hpp:178
gko::Transposable
Linear operators which support transposition should implement the Transposable interface.
Definition: lin_op.hpp:392
gko::solver::Ir::Ir
Ir(const Ir &)
Copy-constructs an IR solver.
gko::size_type
std::size_t size_type
Integral type used for allocation quantities.
Definition: types.hpp:101
gko::solver::Ir::transpose
std::unique_ptr< LinOp > transpose() const override
Returns a LinOp representing the transpose of the Transposable object.
gko::solver::Ir::get_solver
std::shared_ptr< const LinOp > get_solver() const
Returns the solver operator used as the inner solver.
Definition: ir.hpp:124
GKO_FACTORY_PARAMETER_SCALAR
#define GKO_FACTORY_PARAMETER_SCALAR(_name, _default)
Creates a scalar factory parameter in the factory parameters structure.
Definition: abstract_factory.hpp:469
gko::config::type_descriptor
This class describes the value and index types to be used when building a Ginkgo type from a configur...
Definition: type_descriptor.hpp:39
gko
The Ginkgo namespace.
Definition: abstract_factory.hpp:19
gko::solver::Ir::conj_transpose
std::unique_ptr< LinOp > conj_transpose() const override
Returns a LinOp representing the conjugate transpose of the Transposable object.
GKO_ENABLE_LIN_OP_FACTORY
#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:899
gko::stop::combine
std::shared_ptr< const CriterionFactory > combine(FactoryContainer &&factories)
Combines multiple criterion factories into a single combined criterion factory.
Definition: combined.hpp:105
gko::solver::build_smoother
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:311
gko::matrix::Identity::create
static std::unique_ptr< Identity > create(std::shared_ptr< const Executor > exec, dim< 2 > size)
Creates an Identity matrix of the specified size.
gko::solver::Ir::set_solver
void set_solver(std::shared_ptr< const LinOp > new_solver)
Sets the solver operator used as the inner solver.
gko::solver::EnableSolverBase
A LinOp deriving from this CRTP class stores a system matrix.
Definition: solver_base.hpp:556
gko::solver::Ir::parameters_type::default_initial_guess
initial_guess_mode default_initial_guess
Default initial guess mode.
Definition: ir.hpp:191
gko::config::registry
This class stores additional context for creating Ginkgo objects from configuration files.
Definition: registry.hpp:167
gko::solver::Ir::apply_uses_initial_guess
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
GKO_ENABLE_BUILD_METHOD
#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
gko::solver::initial_guess_mode
initial_guess_mode
Give a initial guess mode about the input of the apply method.
Definition: solver_base.hpp:33
gko::solver::Ir::parameters_type
Definition: ir.hpp:165
gko::solver::Ir::parameters_type::relaxation_factor
ValueType relaxation_factor
Relaxation factor for Richardson iteration.
Definition: ir.hpp:184
gko::solver::initial_guess_mode::provided
the input is provided
gko::solver::Ir::parameters_type::solver
std::shared_ptr< const LinOpFactory > solver
Inner solver factory.
Definition: ir.hpp:171
gko::PolymorphicObject::get_executor
std::shared_ptr< const Executor > get_executor() const noexcept
Returns the Executor of the object.
Definition: polymorphic_object.hpp:69
gko::solver::workspace_traits
Traits class providing information on the type and location of workspace vectors inside a solver.
Definition: solver_base.hpp:238
gko::LinOp::get_size
const dim< 2 > & get_size() const noexcept
Returns the size of the operator.
Definition: lin_op.hpp:169
gko::one
constexpr T one()
Returns the multiplicative identity for T.
Definition: math.hpp:653