Ginkgo  Generated from pipelines/1589998975 branch based on develop. Ginkgo version 1.10.0
A numerical linear algebra library targeting many-core architectures
ilu.hpp
1 // SPDX-FileCopyrightText: 2017 - 2024 The Ginkgo authors
2 //
3 // SPDX-License-Identifier: BSD-3-Clause
4 
5 #ifndef GKO_PUBLIC_CORE_FACTORIZATION_ILU_HPP_
6 #define GKO_PUBLIC_CORE_FACTORIZATION_ILU_HPP_
7 
8 
9 #include <memory>
10 
11 #include <ginkgo/core/base/composition.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/factorization/incomplete_factorization.hpp>
17 #include <ginkgo/core/matrix/csr.hpp>
18 
19 
20 namespace gko {
26 namespace factorization {
27 
28 
43 template <typename ValueType = gko::default_precision,
44  typename IndexType = gko::int32>
45 class Ilu : public Composition<ValueType> {
46 public:
47  using value_type = ValueType;
48  using index_type = IndexType;
50 
51  std::shared_ptr<const matrix_type> get_l_factor() const
52  {
53  // Can be `static_cast` since the type is guaranteed in this class
54  return std::static_pointer_cast<const matrix_type>(
55  this->get_operators()[0]);
56  }
57 
58  std::shared_ptr<const matrix_type> get_u_factor() const
59  {
60  // Can be `static_cast` since the type is guaranteed in this class
61  return std::static_pointer_cast<const matrix_type>(
62  this->get_operators()[1]);
63  }
64 
65  // Remove the possibility of calling `create`, which was enabled by
66  // `Composition`
67  template <typename... Args>
68  static std::unique_ptr<Composition<ValueType>> create(Args&&... args) =
69  delete;
70 
72  {
77  std::shared_ptr<typename matrix_type::strategy_type>
78  GKO_FACTORY_PARAMETER_SCALAR(l_strategy, nullptr);
79 
84  std::shared_ptr<typename matrix_type::strategy_type>
85  GKO_FACTORY_PARAMETER_SCALAR(u_strategy, nullptr);
86 
97  bool GKO_FACTORY_PARAMETER_SCALAR(skip_sorting, false);
98 
107  algorithm, incomplete_algorithm::sparselib);
108  };
111 
125  static parameters_type parse(
126  const config::pnode& config, const config::registry& context,
127  const config::type_descriptor& td_for_child =
128  config::make_type_descriptor<ValueType, IndexType>());
129 
130 protected:
131  Ilu(const Factory* factory, std::shared_ptr<const gko::LinOp> system_matrix)
132  : Composition<ValueType>{factory->get_executor()},
133  parameters_{factory->get_parameters()}
134  {
135  if (parameters_.l_strategy == nullptr) {
136  parameters_.l_strategy =
137  std::make_shared<typename matrix_type::classical>();
138  }
139  if (parameters_.u_strategy == nullptr) {
140  parameters_.u_strategy =
141  std::make_shared<typename matrix_type::classical>();
142  }
143  generate_l_u(system_matrix, parameters_.skip_sorting)->move_to(this);
144  }
145 
161  std::unique_ptr<Composition<ValueType>> generate_l_u(
162  const std::shared_ptr<const LinOp>& system_matrix,
163  bool skip_sorting) const;
164 };
165 
166 
167 } // namespace factorization
168 } // namespace gko
169 
170 
171 #endif // GKO_PUBLIC_CORE_FACTORIZATION_ILU_HPP_
gko::matrix::Csr
CSR is a matrix format which stores only the nonzero coefficients by compressing each row of the matr...
Definition: matrix.hpp:28
gko::config::pnode
pnode describes a tree of properties.
Definition: property_tree.hpp:28
gko::factorization::Ilu::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, IndexType >())
Create the parameters from the property_tree.
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::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::factorization::Ilu::Factory
Definition: ilu.hpp:109
gko::Composition
The Composition class can be used to compose linear operators op1, op2, ..., opn and obtain the opera...
Definition: composition.hpp:39
gko::factorization::Ilu::parameters_type::u_strategy
std::shared_ptr< typename matrix_type::strategy_type > u_strategy
Strategy which will be used by the U matrix.
Definition: ilu.hpp:85
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::Composition::get_operators
const std::vector< std::shared_ptr< const LinOp > > & get_operators() const noexcept
Returns a list of operators of the composition.
Definition: composition.hpp:54
gko::default_precision
double default_precision
Precision used if no precision is explicitly specified.
Definition: types.hpp:171
gko::int32
std::int32_t int32
32-bit signed integral type.
Definition: types.hpp:106
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_CREATE_FACTORY_PARAMETERS
#define GKO_CREATE_FACTORY_PARAMETERS(_parameters_name, _factory_name)
This Macro will generate a new type containing the parameters for the factory _factory_name.
Definition: abstract_factory.hpp:280
gko::factorization::Ilu::parameters_type::l_strategy
std::shared_ptr< typename matrix_type::strategy_type > l_strategy
Strategy which will be used by the L matrix.
Definition: ilu.hpp:78
gko::factorization::Ilu::parameters_type::skip_sorting
bool skip_sorting
The system_matrix, which will be given to this factory, must be sorted (first by row,...
Definition: ilu.hpp:97
gko::factorization::incomplete_algorithm
incomplete_algorithm
An enum class for algorithm selection in the incomplete factorization.
Definition: incomplete_factorization.hpp:19
gko::factorization::Ilu
Represents an incomplete LU factorization – ILU(0) – of a sparse matrix.
Definition: ilu.hpp:45