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Ginkgo
Generated from pipelines/1330831941 branch based on master. Ginkgo version 1.8.0
A numerical linear algebra library targeting many-core architectures
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8 #include <ginkgo/core/base/composition.hpp>
9 #include <ginkgo/core/base/lin_op.hpp>
10 #include <ginkgo/core/base/polymorphic_object.hpp>
11 #include <ginkgo/core/config/config.hpp>
12 #include <ginkgo/core/config/registry.hpp>
13 #include <ginkgo/core/factorization/factorization.hpp>
14 #include <ginkgo/core/matrix/csr.hpp>
15 #include <ginkgo/core/matrix/sparsity_csr.hpp>
19 namespace experimental {
20 namespace factorization {
33 template <
typename ValueType,
typename IndexType>
43 using value_type = ValueType;
44 using index_type = IndexType;
57 std::shared_ptr<const sparsity_pattern_type>
92 std::unique_ptr<factorization_type>
generate(
93 std::shared_ptr<const LinOp> system_matrix)
const;
111 static parameters_type
parse(
114 config::make_type_descriptor<ValueType, IndexType>());
117 explicit Cholesky(std::shared_ptr<const Executor> exec,
118 const parameters_type& params = {});
120 std::unique_ptr<LinOp> generate_impl(
121 std::shared_ptr<const LinOp> system_matrix)
const override;
124 parameters_type parameters_;
static parameters_type build()
Creates a new parameter_type to set up the factory.
Definition: cholesky.hpp:96
Represents a generic factorization consisting of two triangular factors (upper and lower) and an opti...
Definition: factorization.hpp:76
CSR is a matrix format which stores only the nonzero coefficients by compressing each row of the matr...
Definition: matrix.hpp:27
const parameters_type & get_parameters() const
Returns the parameters used to construct the factory.
Definition: cholesky.hpp:83
pnode describes a tree of properties.
Definition: property_tree.hpp:28
SparsityCsr is a matrix format which stores only the sparsity pattern of a sparse matrix by compressi...
Definition: csr.hpp:40
bool skip_sorting
The system_matrix, which will be given to this factory, must be sorted (first by row,...
Definition: cholesky.hpp:70
std::shared_ptr< const sparsity_pattern_type > symbolic_factorization
The combined sparsity pattern L + L^H of the factors L and L^H.
Definition: cholesky.hpp:58
This mixin is used to enable a default PolymorphicObject::copy_from() implementation for objects that...
Definition: polymorphic_object.hpp:724
#define GKO_FACTORY_PARAMETER_SCALAR(_name, _default)
Creates a scalar factory parameter in the factory parameters structure.
Definition: abstract_factory.hpp:445
This class describes the value and index types to be used when building a Ginkgo type from a configur...
Definition: type_descriptor.hpp:37
The Ginkgo namespace.
Definition: abstract_factory.hpp:20
std::unique_ptr< factorization_type > generate(std::shared_ptr< const LinOp > system_matrix) const
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.
Definition: cholesky.hpp:49
Computes a Cholesky factorization of a symmetric, positive-definite sparse matrix.
Definition: cholesky.hpp:34
This class stores additional context for creating Ginkgo objects from configuration files.
Definition: registry.hpp:168
A LinOpFactory represents a higher order mapping which transforms one linear operator into another.
Definition: lin_op.hpp:385
The enable_parameters_type mixin is used to create a base implementation of the factory parameters st...
Definition: abstract_factory.hpp:211
const parameters_type & get_parameters()
Returns the parameters used to construct the factory.
Definition: cholesky.hpp:78
This mixin inherits from (a subclass of) PolymorphicObject and provides a base implementation of a ne...
Definition: polymorphic_object.hpp:662