Ginkgo  Generated from pipelines/2969282958 branch based on develop. Ginkgo version 2.0.0
A numerical linear algebra library targeting many-core architectures
cg.hpp
1 // SPDX-FileCopyrightText: 2017 - 2026 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 
69 template <typename ValueType = default_precision>
70 class Cg : public LinOp,
71  public EnablePreconditionedIterativeSolver<ValueType, Cg<ValueType>>,
72  public Transposable {
73  GKO_ASSERT_SUPPORTED_VALUE_TYPE;
74 
75 public:
76  using value_type = ValueType;
78 
79  std::unique_ptr<LinOp> transpose() const override;
80 
81  std::unique_ptr<LinOp> conj_transpose() const override;
82 
88  bool apply_uses_initial_guess() const override { return true; }
89 
90  class Factory;
91 
94  parameters_type, Factory> {};
95 
98 
112  static parameters_type parse(const config::pnode& config,
113  const config::registry& context,
114  const config::type_descriptor& td_for_child =
115  config::make_type_descriptor<ValueType>());
116 
117 protected:
118  void apply_impl(const LinOp* b, LinOp* x) const override;
119 
120  template <typename VectorType>
121  void apply_dense_impl(const VectorType* b, VectorType* x) const;
122 
123  void apply_impl(const LinOp* alpha, const LinOp* b, const LinOp* beta,
124  LinOp* x) const override;
125 
126  explicit Cg(std::shared_ptr<const Executor> exec) : LinOp(std::move(exec))
127  {}
128 
129  explicit Cg(const Factory* factory,
130  std::shared_ptr<const LinOp> system_matrix)
131  : LinOp(factory->get_executor(),
132  gko::transpose(system_matrix->get_size())),
133  EnablePreconditionedIterativeSolver<ValueType, Cg<ValueType>>{
134  std::move(system_matrix), factory->get_parameters()},
135  parameters_{factory->get_parameters()}
136  {}
137 };
138 
139 
140 template <typename ValueType>
141 struct nullspace_traits<Cg<ValueType>> {
142  static constexpr bool is_supported = true;
143  static constexpr bool requires_hermitian = true;
144  static constexpr bool two_sided_projection = false;
145 };
146 
147 
148 template <typename ValueType>
149 struct workspace_traits<Cg<ValueType>> {
150  using Solver = Cg<ValueType>;
151  // number of vectors used by this workspace
152  static int num_vectors(const Solver&);
153  // number of arrays used by this workspace
154  static int num_arrays(const Solver&);
155  // array containing the num_vectors names for the workspace vectors
156  static std::vector<std::string> op_names(const Solver&);
157  // array containing the num_arrays names for the workspace vectors
158  static std::vector<std::string> array_names(const Solver&);
159  // array containing all varying scalar vectors (independent of problem size)
160  static std::vector<int> scalars(const Solver&);
161  // array containing all varying vectors (dependent on problem size)
162  static std::vector<int> vectors(const Solver&);
163 
164  // residual vector
165  constexpr static int r = 0;
166  // preconditioned residual vector
167  constexpr static int z = 1;
168  // p vector
169  constexpr static int p = 2;
170  // q vector
171  constexpr static int q = 3;
172  // beta scalar
173  constexpr static int beta = 4;
174  // previous rho scalar
175  constexpr static int prev_rho = 5;
176  // current rho scalar
177  constexpr static int rho = 6;
178  // constant 1.0 scalar
179  constexpr static int one = 7;
180  // constant -1.0 scalar
181  constexpr static int minus_one = 8;
182  // right-hand side projected onto the range of the system matrix
183  constexpr static int proj_rhs = 9;
184 
185  // stopping status array
186  constexpr static int stop = 0;
187  // reduction tmp array
188  constexpr static int tmp = 1;
189 };
190 
191 
192 } // namespace solver
193 } // namespace gko
194 
195 
196 #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:88
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::nullspace_traits
Traits describing how an iterative solver handles the nullspaces given by the nullspace and left_null...
Definition: solver_base.hpp:808
gko::Transposable
Linear operators which support transposition should implement the Transposable interface.
Definition: lin_op.hpp:492
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:1136
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:19
gko::solver::Cg::parameters_type
Definition: cg.hpp:92
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:70
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:1094
gko::solver::nullspace_traits::requires_hermitian
static constexpr bool requires_hermitian
Whether the solver requires a Hermitian system matrix.
Definition: solver_base.hpp:819
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:96
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::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:247
gko::LinOp::get_size
const dim< 2 > & get_size() const noexcept
Returns the size of the operator.
Definition: lin_op.hpp:169
gko::solver::nullspace_traits::two_sided_projection
static constexpr bool two_sided_projection
Whether the solver needs the two-sided projection of its preconditioner , which is symmetric for sym...
Definition: solver_base.hpp:827
gko::solver::EnablePreconditionedIterativeSolver
A LinOp implementing this interface stores a system matrix and stopping criterion factory.
Definition: solver_base.hpp:842
gko::solver::nullspace_traits::is_supported
static constexpr bool is_supported
Whether the solver removes the nullspaces.
Definition: solver_base.hpp:813
gko::one
constexpr T one()
Returns the multiplicative identity for T.
Definition: math.hpp:653