Ginkgo  Generated from pipelines/1556235455 branch based on develop. Ginkgo version 1.9.0
A numerical linear algebra library targeting many-core architectures
idr.hpp
1 // SPDX-FileCopyrightText: 2017 - 2024 The Ginkgo authors
2 //
3 // SPDX-License-Identifier: BSD-3-Clause
4 
5 #ifndef GKO_PUBLIC_CORE_SOLVER_IDR_HPP_
6 #define GKO_PUBLIC_CORE_SOLVER_IDR_HPP_
7 
8 
9 #include <random>
10 #include <typeinfo>
11 #include <vector>
12 
13 #include <ginkgo/core/base/array.hpp>
14 #include <ginkgo/core/base/exception_helpers.hpp>
15 #include <ginkgo/core/base/lin_op.hpp>
16 #include <ginkgo/core/base/math.hpp>
17 #include <ginkgo/core/base/types.hpp>
18 #include <ginkgo/core/config/config.hpp>
19 #include <ginkgo/core/config/registry.hpp>
20 #include <ginkgo/core/log/logger.hpp>
21 #include <ginkgo/core/matrix/dense.hpp>
22 #include <ginkgo/core/matrix/identity.hpp>
23 #include <ginkgo/core/solver/solver_base.hpp>
24 #include <ginkgo/core/stop/combined.hpp>
25 #include <ginkgo/core/stop/criterion.hpp>
26 
27 
28 namespace gko {
34 namespace solver {
35 
36 
55 template <typename ValueType = default_precision>
56 class Idr
57  : public EnableLinOp<Idr<ValueType>>,
58  public EnablePreconditionedIterativeSolver<ValueType, Idr<ValueType>>,
59  public Transposable {
60  friend class EnableLinOp<Idr>;
61  friend class EnablePolymorphicObject<Idr, LinOp>;
62 
63 public:
64  using value_type = ValueType;
66 
67  std::unique_ptr<LinOp> transpose() const override;
68 
69  std::unique_ptr<LinOp> conj_transpose() const override;
70 
76  bool apply_uses_initial_guess() const override { return true; }
77 
82  size_type get_subspace_dim() const { return parameters_.subspace_dim; }
83 
88  void set_subspace_dim(const size_type other)
89  {
90  parameters_.subspace_dim = other;
91  }
92 
98  remove_complex<ValueType> get_kappa() const { return parameters_.kappa; }
99 
106  {
107  parameters_.kappa = other;
108  }
109 
115  bool get_deterministic() const { return parameters_.deterministic; }
116 
122  void set_deterministic(const bool other)
123  {
124  parameters_.deterministic = other;
125  }
126 
132  bool get_complex_subspace() const { return parameters_.complex_subspace; }
133 
140  GKO_DEPRECATED("Use set_complex_subspace instead")
141  void set_complex_subpsace(const bool other)
142  {
143  this->set_complex_subspace(other);
144  }
145 
151  void set_complex_subspace(const bool other)
152  {
153  parameters_.complex_subspace = other;
154  }
155 
156  class Factory;
157 
160  parameters_type, Factory> {
166 
174 
185 
194  };
197 
211  static parameters_type parse(const config::pnode& config,
212  const config::registry& context,
213  const config::type_descriptor& td_for_child =
214  config::make_type_descriptor<ValueType>());
215 
216 protected:
217  void apply_impl(const LinOp* b, LinOp* x) const override;
218 
219  void apply_impl(const LinOp* alpha, const LinOp* b, const LinOp* beta,
220  LinOp* x) const override;
221 
222  template <typename VectorType>
223  void iterate(const VectorType* dense_b, VectorType* dense_x) const;
224 
225  explicit Idr(std::shared_ptr<const Executor> exec)
226  : EnableLinOp<Idr>(std::move(exec))
227  {}
228 
229  explicit Idr(const Factory* factory,
230  std::shared_ptr<const LinOp> system_matrix)
231  : EnableLinOp<Idr>(factory->get_executor(),
232  gko::transpose(system_matrix->get_size())),
233  EnablePreconditionedIterativeSolver<ValueType, Idr<ValueType>>{
234  std::move(system_matrix), factory->get_parameters()},
235  parameters_{factory->get_parameters()}
236  {}
237 };
238 
239 
240 template <typename ValueType>
241 struct workspace_traits<Idr<ValueType>> {
242  using Solver = Idr<ValueType>;
243  // number of vectors used by this workspace
244  static int num_vectors(const Solver&);
245  // number of arrays used by this workspace
246  static int num_arrays(const Solver&);
247  // array containing the num_vectors names for the workspace vectors
248  static std::vector<std::string> op_names(const Solver&);
249  // array containing the num_arrays names for the workspace vectors
250  static std::vector<std::string> array_names(const Solver&);
251  // array containing all varying scalar vectors (independent of problem size)
252  static std::vector<int> scalars(const Solver&);
253  // array containing all varying vectors (dependent on problem size)
254  static std::vector<int> vectors(const Solver&);
255 
256  // residual vector
257  constexpr static int residual = 0;
258  // v vector
259  constexpr static int v = 1;
260  // t vector
261  constexpr static int t = 2;
262  // helper vector
263  constexpr static int helper = 3;
264  // m multivector
265  constexpr static int m = 4;
266  // g multivector
267  constexpr static int g = 5;
268  // u multivector
269  constexpr static int u = 6;
270  // subspace multivector
271  constexpr static int subspace = 7;
272  // f "multiscalar"
273  constexpr static int f = 8;
274  // c "multiscalar"
275  constexpr static int c = 9;
276  // omega scalar
277  constexpr static int omega = 10;
278  // residual norm scalar
279  constexpr static int residual_norm = 11;
280  // T^H*T scalar
281  constexpr static int tht = 12;
282  // alpha "multiscalar"
283  constexpr static int alpha = 13;
284  // constant 1.0 scalar
285  constexpr static int one = 14;
286  // constant -1.0 scalar
287  constexpr static int minus_one = 15;
288  // constant -1.0 scalar
289  constexpr static int subspace_minus_one = 16;
290 
291  // stopping status array
292  constexpr static int stop = 0;
293  // reduction tmp array
294  constexpr static int tmp = 1;
295 };
296 
297 
298 } // namespace solver
299 } // namespace gko
300 
301 
302 #endif // GKO_PUBLIC_CORE_SOLVER_IDR_HPP_
gko::solver::Idr::parameters_type
Definition: idr.hpp:158
gko::solver::Idr::set_kappa
void set_kappa(const remove_complex< ValueType > other)
Sets the kappa parameter of the solver.
Definition: idr.hpp:105
gko::solver::Idr::parameters_type::complex_subspace
bool complex_subspace
If set to true, IDR will use a complex subspace S also for real problems, allowing for faster converg...
Definition: idr.hpp:193
gko::solver::Idr::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: idr.hpp:76
gko::config::pnode
pnode describes a tree of properties.
Definition: property_tree.hpp:28
gko::log::profile_event_category::solver
Solver events.
gko::LinOp
Definition: lin_op.hpp:117
gko::solver::Idr::set_complex_subspace
void set_complex_subspace(const bool other)
Sets the complex_subspace parameter of the solver.
Definition: idr.hpp:151
gko::solver::Idr::set_subspace_dim
void set_subspace_dim(const size_type other)
Sets the subspace dimension of the solver.
Definition: idr.hpp:88
gko::Transposable
Linear operators which support transposition should implement the Transposable interface.
Definition: lin_op.hpp:433
gko::solver::Idr::get_deterministic
bool get_deterministic() const
Gets the deterministic parameter of the solver.
Definition: idr.hpp:115
gko::size_type
std::size_t size_type
Integral type used for allocation quantities.
Definition: types.hpp:86
gko::solver::enable_preconditioned_iterative_solver_factory_parameters
Definition: solver_base.hpp:839
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:445
gko::solver::Idr::parameters_type::deterministic
bool deterministic
If set to true, the vectors spanning the subspace S are chosen deterministically.
Definition: idr.hpp:184
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:20
gko::solver::Idr::Factory
Definition: idr.hpp:195
gko::solver::Idr::conj_transpose
std::unique_ptr< LinOp > conj_transpose() const override
Returns a LinOp representing the conjugate transpose of the Transposable object.
gko::solver::Idr::set_deterministic
void set_deterministic(const bool other)
Sets the deterministic parameter of the solver.
Definition: idr.hpp:122
gko::solver::Idr::set_complex_subpsace
void set_complex_subpsace(const bool other)
Sets the complex_subspace parameter of the solver.
Definition: idr.hpp:141
gko::solver::Idr
IDR(s) is an efficient method for solving large nonsymmetric systems of linear equations.
Definition: idr.hpp:56
gko::solver::Idr::get_subspace_dim
size_type get_subspace_dim() const
Gets the subspace dimension of the solver.
Definition: idr.hpp:82
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:1017
gko::solver::Idr::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::Idr::parameters_type::kappa
remove_complex< ValueType > kappa
Threshold to determine if Av_n and v_n are too close to being perpendicular.
Definition: idr.hpp:173
gko::solver::Idr::get_complex_subspace
bool get_complex_subspace() const
Gets the complex_subspace parameter of the solver.
Definition: idr.hpp:132
gko::solver::Idr::transpose
std::unique_ptr< LinOp > transpose() const override
Returns a LinOp representing the transpose of the Transposable object.
gko::config::registry
This class stores additional context for creating Ginkgo objects from configuration files.
Definition: registry.hpp:167
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:394
gko::PolymorphicObject::get_executor
std::shared_ptr< const Executor > get_executor() const noexcept
Returns the Executor of the object.
Definition: polymorphic_object.hpp:234
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:210
gko::remove_complex
typename detail::remove_complex_s< T >::type remove_complex
Obtain the type which removed the complex of complex/scalar type or the template parameter of class b...
Definition: math.hpp:325
gko::EnableLinOp
The EnableLinOp mixin can be used to provide sensible default implementations of the majority of the ...
Definition: lin_op.hpp:877
gko::solver::EnablePreconditionedIterativeSolver
A LinOp implementing this interface stores a system matrix and stopping criterion factory.
Definition: solver_base.hpp:784
gko::solver::Idr::parameters_type::subspace_dim
size_type subspace_dim
Dimension of the subspace S.
Definition: idr.hpp:165
gko::one
constexpr T one()
Returns the multiplicative identity for T.
Definition: math.hpp:652
gko::solver::Idr::get_kappa
remove_complex< ValueType > get_kappa() const
Gets the kappa parameter of the solver.
Definition: idr.hpp:98
gko::EnablePolymorphicObject
This mixin inherits from (a subclass of) PolymorphicObject and provides a base implementation of a ne...
Definition: polymorphic_object.hpp:661