Ginkgo  Generated from pipelines/1556235455 branch based on develop. Ginkgo version 1.9.0
A numerical linear algebra library targeting many-core architectures
cg.hpp
1 // SPDX-FileCopyrightText: 2017 - 2024 The Ginkgo authors
2 //
3 // SPDX-License-Identifier: BSD-3-Clause
4 
5 #ifndef GKO_PUBLIC_CORE_SOLVER_CG_HPP_
6 #define GKO_PUBLIC_CORE_SOLVER_CG_HPP_
7 
8 
9 #include <vector>
10 
11 #include <ginkgo/core/base/array.hpp>
12 #include <ginkgo/core/base/exception_helpers.hpp>
13 #include <ginkgo/core/base/lin_op.hpp>
14 #include <ginkgo/core/base/math.hpp>
15 #include <ginkgo/core/base/types.hpp>
16 #include <ginkgo/core/config/config.hpp>
17 #include <ginkgo/core/config/registry.hpp>
18 #include <ginkgo/core/config/type_descriptor.hpp>
19 #include <ginkgo/core/log/logger.hpp>
20 #include <ginkgo/core/matrix/dense.hpp>
21 #include <ginkgo/core/matrix/identity.hpp>
22 #include <ginkgo/core/solver/solver_base.hpp>
23 #include <ginkgo/core/stop/combined.hpp>
24 #include <ginkgo/core/stop/criterion.hpp>
25 
26 
27 namespace gko {
28 namespace solver {
29 
30 
47 template <typename ValueType = default_precision>
48 class Cg : public EnableLinOp<Cg<ValueType>>,
49  public EnablePreconditionedIterativeSolver<ValueType, Cg<ValueType>>,
50  public Transposable {
51  friend class EnableLinOp<Cg>;
52  friend class EnablePolymorphicObject<Cg, LinOp>;
53 
54 public:
55  using value_type = ValueType;
57 
58  std::unique_ptr<LinOp> transpose() const override;
59 
60  std::unique_ptr<LinOp> conj_transpose() const override;
61 
67  bool apply_uses_initial_guess() const override { return true; }
68 
69  class Factory;
70 
73  parameters_type, Factory> {};
74 
77 
91  static parameters_type parse(const config::pnode& config,
92  const config::registry& context,
93  const config::type_descriptor& td_for_child =
94  config::make_type_descriptor<ValueType>());
95 
96 protected:
97  void apply_impl(const LinOp* b, LinOp* x) const override;
98 
99  template <typename VectorType>
100  void apply_dense_impl(const VectorType* b, VectorType* x) const;
101 
102  void apply_impl(const LinOp* alpha, const LinOp* b, const LinOp* beta,
103  LinOp* x) const override;
104 
105  explicit Cg(std::shared_ptr<const Executor> exec)
106  : EnableLinOp<Cg>(std::move(exec))
107  {}
108 
109  explicit Cg(const Factory* factory,
110  std::shared_ptr<const LinOp> system_matrix)
111  : EnableLinOp<Cg>(factory->get_executor(),
112  gko::transpose(system_matrix->get_size())),
113  EnablePreconditionedIterativeSolver<ValueType, Cg<ValueType>>{
114  std::move(system_matrix), factory->get_parameters()},
115  parameters_{factory->get_parameters()}
116  {}
117 };
118 
119 
120 template <typename ValueType>
121 struct workspace_traits<Cg<ValueType>> {
122  using Solver = Cg<ValueType>;
123  // number of vectors used by this workspace
124  static int num_vectors(const Solver&);
125  // number of arrays used by this workspace
126  static int num_arrays(const Solver&);
127  // array containing the num_vectors names for the workspace vectors
128  static std::vector<std::string> op_names(const Solver&);
129  // array containing the num_arrays names for the workspace vectors
130  static std::vector<std::string> array_names(const Solver&);
131  // array containing all varying scalar vectors (independent of problem size)
132  static std::vector<int> scalars(const Solver&);
133  // array containing all varying vectors (dependent on problem size)
134  static std::vector<int> vectors(const Solver&);
135 
136  // residual vector
137  constexpr static int r = 0;
138  // preconditioned residual vector
139  constexpr static int z = 1;
140  // p vector
141  constexpr static int p = 2;
142  // q vector
143  constexpr static int q = 3;
144  // beta scalar
145  constexpr static int beta = 4;
146  // previous rho scalar
147  constexpr static int prev_rho = 5;
148  // current rho scalar
149  constexpr static int rho = 6;
150  // constant 1.0 scalar
151  constexpr static int one = 7;
152  // constant -1.0 scalar
153  constexpr static int minus_one = 8;
154 
155  // stopping status array
156  constexpr static int stop = 0;
157  // reduction tmp array
158  constexpr static int tmp = 1;
159 };
160 
161 
162 } // namespace solver
163 } // namespace gko
164 
165 
166 #endif // GKO_PUBLIC_CORE_SOLVER_CG_HPP_
gko::solver::Cg::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: cg.hpp:67
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::Transposable
Linear operators which support transposition should implement the Transposable interface.
Definition: lin_op.hpp:433
gko::solver::Cg::transpose
std::unique_ptr< LinOp > transpose() const override
Returns a LinOp representing the transpose of the Transposable object.
gko::solver::enable_preconditioned_iterative_solver_factory_parameters
Definition: solver_base.hpp:839
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::solver::Cg::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
The Ginkgo namespace.
Definition: abstract_factory.hpp:20
gko::solver::Cg::parameters_type
Definition: cg.hpp:71
gko::solver::Cg::conj_transpose
std::unique_ptr< LinOp > conj_transpose() const override
Returns a LinOp representing the conjugate transpose of the Transposable object.
gko::solver::Cg
CG or the conjugate gradient method is an iterative type Krylov subspace method which is suitable for...
Definition: cg.hpp:48
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::config::registry
This class stores additional context for creating Ginkgo objects from configuration files.
Definition: registry.hpp:167
gko::solver::Cg::Factory
Definition: cg.hpp:75
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::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::one
constexpr T one()
Returns the multiplicative identity for T.
Definition: math.hpp:652
gko::EnablePolymorphicObject
This mixin inherits from (a subclass of) PolymorphicObject and provides a base implementation of a ne...
Definition: polymorphic_object.hpp:661