Ginkgo  Generated from pipelines/1330831941 branch based on master. Ginkgo version 1.8.0
A numerical linear algebra library targeting many-core architectures
scaled_reordered.hpp
1 // SPDX-FileCopyrightText: 2017 - 2024 The Ginkgo authors
2 //
3 // SPDX-License-Identifier: BSD-3-Clause
4 
5 #ifndef GKO_PUBLIC_CORE_REORDER_SCALED_REORDERED_HPP_
6 #define GKO_PUBLIC_CORE_REORDER_SCALED_REORDERED_HPP_
7 
8 
9 #include <ginkgo/core/base/abstract_factory.hpp>
10 #include <ginkgo/core/base/executor.hpp>
11 #include <ginkgo/core/base/lin_op.hpp>
12 #include <ginkgo/core/base/types.hpp>
13 #include <ginkgo/core/matrix/dense.hpp>
14 #include <ginkgo/core/matrix/diagonal.hpp>
15 #include <ginkgo/core/matrix/identity.hpp>
16 #include <ginkgo/core/matrix/permutation.hpp>
17 #include <ginkgo/core/reorder/reordering_base.hpp>
18 
19 
20 namespace gko {
21 namespace experimental {
22 namespace reorder {
23 
24 
43 template <typename ValueType = default_precision, typename IndexType = int32>
45  : public EnableLinOp<ScaledReordered<ValueType, IndexType>> {
46  friend class EnableLinOp<ScaledReordered, LinOp>;
48 
49 public:
50  using value_type = ValueType;
51  using index_type = IndexType;
52  using ReorderingBaseFactory =
55 
56  std::shared_ptr<const LinOp> get_system_matrix() const
57  {
58  return system_matrix_;
59  }
60 
61  std::shared_ptr<const LinOp> get_inner_operator() const
62  {
63  return inner_operator_;
64  }
65 
67  {
72  std::shared_ptr<const LinOpFactory> GKO_FACTORY_PARAMETER_SCALAR(
73  inner_operator, nullptr);
74 
80  std::shared_ptr<const ReorderingBaseFactory>
81  GKO_FACTORY_PARAMETER_SCALAR(reordering, nullptr);
82 
86  std::shared_ptr<const matrix::Diagonal<value_type>>
87  GKO_FACTORY_PARAMETER_SCALAR(row_scaling, nullptr);
88 
92  std::shared_ptr<const matrix::Diagonal<value_type>>
93  GKO_FACTORY_PARAMETER_SCALAR(col_scaling, nullptr);
94  };
97 
98 protected:
102  explicit ScaledReordered(std::shared_ptr<const Executor> exec)
103  : EnableLinOp<ScaledReordered>(std::move(exec)),
104  permutation_array_{exec}
105  {}
106 
107  explicit ScaledReordered(const Factory* factory,
108  std::shared_ptr<const LinOp> system_matrix)
110  system_matrix->get_size()),
111  parameters_{factory->get_parameters()},
112  permutation_array_{factory->get_executor()}
113  {
114  // For now only support square matrices.
115  GKO_ASSERT_IS_SQUARE_MATRIX(system_matrix);
116 
117  auto exec = this->get_executor();
118 
119  system_matrix_ = gko::clone(exec, system_matrix);
120 
121  // Scale the system matrix if scaling coefficients are provided
122  if (parameters_.row_scaling) {
123  GKO_ASSERT_EQUAL_DIMENSIONS(parameters_.row_scaling,
124  system_matrix_);
125  row_scaling_ = parameters_.row_scaling;
126  row_scaling_->apply(system_matrix_, system_matrix_);
127  }
128  if (parameters_.col_scaling) {
129  GKO_ASSERT_EQUAL_DIMENSIONS(parameters_.col_scaling,
130  system_matrix_);
131  col_scaling_ = parameters_.col_scaling;
132  col_scaling_->rapply(system_matrix_, system_matrix_);
133  }
134 
135  // If a reordering factory is provided, generate the reordering and
136  // permute the system matrix accordingly.
137  if (parameters_.reordering) {
138  auto reordering = parameters_.reordering->generate(system_matrix_);
139  permutation_array_ = reordering->get_permutation_array();
140  system_matrix_ = as<Permutable<index_type>>(system_matrix_)
141  ->permute(&permutation_array_);
142  }
143 
144  // Generate the inner operator with the scaled and reordered system
145  // matrix. If none is provided, use the Identity.
146  if (parameters_.inner_operator) {
147  inner_operator_ =
148  parameters_.inner_operator->generate(system_matrix_);
149  } else {
151  exec, this->get_size()[0]);
152  }
153  }
154 
155  void apply_impl(const LinOp* b, LinOp* x) const override;
156 
157  void apply_impl(const LinOp* alpha, const LinOp* b, const LinOp* beta,
158  LinOp* x) const override;
159 
171  void set_cache_to(const LinOp* b, const LinOp* x) const
172  {
173  if (cache_.inner_b == nullptr ||
174  cache_.inner_b->get_size() != b->get_size()) {
175  const auto size = b->get_size();
176  cache_.inner_b =
178  cache_.inner_x =
180  cache_.intermediate =
182  }
183  cache_.inner_b->copy_from(b);
184  if (inner_operator_->apply_uses_initial_guess()) {
185  cache_.inner_x->copy_from(x);
186  }
187  }
188 
189 private:
190  std::shared_ptr<LinOp> system_matrix_{};
191  std::shared_ptr<const LinOp> inner_operator_{};
192  std::shared_ptr<const matrix::Diagonal<value_type>> row_scaling_{};
193  std::shared_ptr<const matrix::Diagonal<value_type>> col_scaling_{};
194  array<index_type> permutation_array_{};
195 
206  mutable struct cache_struct {
207  cache_struct() = default;
208 
209  ~cache_struct() = default;
210 
211  cache_struct(const cache_struct&) {}
212 
213  cache_struct(cache_struct&&) {}
214 
215  cache_struct& operator=(const cache_struct&) { return *this; }
216 
217  cache_struct& operator=(cache_struct&&) { return *this; }
218 
219  std::unique_ptr<matrix::Dense<value_type>> inner_b{};
220  std::unique_ptr<matrix::Dense<value_type>> inner_x{};
221  std::unique_ptr<matrix::Dense<value_type>> intermediate{};
222  } cache_;
223 };
224 
225 
226 } // namespace reorder
227 } // namespace experimental
228 } // namespace gko
229 
230 
231 #endif // GKO_PUBLIC_CORE_REORDER_SCALED_REORDERED_HPP_
gko::LinOp
Definition: lin_op.hpp:118
gko::experimental::reorder::ScaledReordered::parameters_type::col_scaling
std::shared_ptr< const matrix::Diagonal< value_type > > col_scaling
The column scaling that is to be applied to the system matrix.
Definition: scaled_reordered.hpp:93
gko::AbstractFactory
The AbstractFactory is a generic interface template that enables easy implementation of the abstract ...
Definition: abstract_factory.hpp:45
gko::matrix::Dense::create
static std::unique_ptr< Dense > create(std::shared_ptr< const Executor > exec, const dim< 2 > &size={}, size_type stride=0)
Creates an uninitialized Dense matrix of the specified size.
gko::experimental::reorder::ScaledReordered::parameters_type::inner_operator
std::shared_ptr< const LinOpFactory > inner_operator
The inner operator factory that is to be generated on the scaled and reordered system matrix.
Definition: scaled_reordered.hpp:73
gko::experimental::reorder::ScaledReordered::parameters_type::row_scaling
std::shared_ptr< const matrix::Diagonal< value_type > > row_scaling
The row scaling that is to be applied to the system matrix.
Definition: scaled_reordered.hpp:87
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::clone
detail::cloned_type< Pointer > clone(const Pointer &p)
Creates a unique clone of the object pointed to by p.
Definition: utils_helper.hpp:175
gko
The Ginkgo namespace.
Definition: abstract_factory.hpp:20
gko::experimental::reorder::ScaledReordered
Provides an interface to wrap reorderings like Rcm and diagonal scaling like equilibration around a L...
Definition: scaled_reordered.hpp:44
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:1018
gko::LinOp::operator=
LinOp & operator=(const LinOp &)=default
Copy-assigns a LinOp.
gko::experimental::reorder::ScaledReordered::Factory
Definition: scaled_reordered.hpp:95
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::experimental::reorder::ScaledReordered::parameters_type::reordering
std::shared_ptr< const ReorderingBaseFactory > reordering
The reordering that is to be applied to the system matrix.
Definition: scaled_reordered.hpp:81
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::PolymorphicObject::get_executor
std::shared_ptr< const Executor > get_executor() const noexcept
Returns the Executor of the object.
Definition: polymorphic_object.hpp:235
gko::reorder::ReorderingBaseArgs
This struct is used to pass parameters to the EnableDefaultReorderingBaseFactory::generate() method.
Definition: reordering_base.hpp:66
gko::LinOp::get_size
const dim< 2 > & get_size() const noexcept
Returns the size of the operator.
Definition: lin_op.hpp:211
gko::EnableLinOp
The EnableLinOp mixin can be used to provide sensible default implementations of the majority of the ...
Definition: lin_op.hpp:878
gko::LinOp::LinOp
LinOp(const LinOp &)=default
Copy-constructs a LinOp.
gko::EnablePolymorphicObject
This mixin inherits from (a subclass of) PolymorphicObject and provides a base implementation of a ne...
Definition: polymorphic_object.hpp:662