|
Ginkgo
Generated from pipelines/1330831941 branch based on master. Ginkgo version 1.8.0
A numerical linear algebra library targeting many-core architectures
|
5 #ifndef GKO_PUBLIC_CORE_BASE_LIN_OP_HPP_
6 #define GKO_PUBLIC_CORE_BASE_LIN_OP_HPP_
10 #include <type_traits>
14 #include <ginkgo/core/base/abstract_factory.hpp>
15 #include <ginkgo/core/base/device_matrix_data.hpp>
16 #include <ginkgo/core/base/dim.hpp>
17 #include <ginkgo/core/base/exception_helpers.hpp>
18 #include <ginkgo/core/base/math.hpp>
19 #include <ginkgo/core/base/matrix_assembly_data.hpp>
20 #include <ginkgo/core/base/matrix_data.hpp>
21 #include <ginkgo/core/base/polymorphic_object.hpp>
22 #include <ginkgo/core/base/types.hpp>
23 #include <ginkgo/core/base/utils.hpp>
24 #include <ginkgo/core/log/logger.hpp>
31 template <
typename ValueType>
132 this->
template log<log::Logger::linop_apply_started>(
this, b.
get(),
134 this->validate_application_parameters(b.
get(), x.
get());
138 this->
template log<log::Logger::linop_apply_completed>(
this, b.
get(),
148 this->
template log<log::Logger::linop_apply_started>(
this, b.
get(),
150 this->validate_application_parameters(b.
get(), x.
get());
154 this->
template log<log::Logger::linop_apply_completed>(
this, b.
get(),
172 this->
template log<log::Logger::linop_advanced_apply_started>(
174 this->validate_application_parameters(alpha.
get(), b.
get(), beta.
get(),
181 this->
template log<log::Logger::linop_advanced_apply_completed>(
192 this->
template log<log::Logger::linop_advanced_apply_started>(
194 this->validate_application_parameters(alpha.
get(), b.
get(), beta.
get(),
201 this->
template log<log::Logger::linop_advanced_apply_completed>(
232 if (
this != &other) {
234 this->set_size(other.get_size());
249 size_{std::exchange(other.size_,
dim<2>{})}
259 explicit LinOp(std::shared_ptr<const Executor> exec,
260 const dim<2>& size = dim<2>{})
261 : EnableAbstractPolymorphicObject<LinOp>(exec), size_{size}
269 void set_size(
const dim<2>& value) noexcept { size_ = value; }
280 virtual void apply_impl(
const LinOp* b,
LinOp* x)
const = 0;
291 virtual void apply_impl(
const LinOp* alpha,
const LinOp* b,
301 void validate_application_parameters(
const LinOp* b,
const LinOp* x)
const
303 GKO_ASSERT_CONFORMANT(
this, b);
304 GKO_ASSERT_EQUAL_ROWS(
this, x);
305 GKO_ASSERT_EQUAL_COLS(b, x);
317 void validate_application_parameters(
const LinOp* alpha,
const LinOp* b,
319 const LinOp* x)
const
321 this->validate_application_parameters(b, x);
322 GKO_ASSERT_EQUAL_DIMENSIONS(alpha, dim<2>(1, 1));
323 GKO_ASSERT_EQUAL_DIMENSIONS(beta, dim<2>(1, 1));
390 std::unique_ptr<LinOp> generate(std::shared_ptr<const LinOp> input)
const
392 this->
template log<log::Logger::linop_factory_generate_started>(
394 const auto exec = this->get_executor();
395 std::unique_ptr<LinOp> generated;
396 if (input->get_executor() == exec) {
402 this->
template log<log::Logger::linop_factory_generate_completed>(
403 this, input.get(), generated.get());
443 virtual std::unique_ptr<LinOp>
transpose()
const = 0;
451 virtual std::unique_ptr<LinOp> conj_transpose()
const = 0;
484 template <
typename IndexType>
506 return as<Permutable>(this->row_permute(permutation_indices))
507 ->column_permute(permutation_indices);
527 return as<Permutable>(this->inverse_row_permute(permutation_indices))
528 ->inverse_column_permute(permutation_indices);
544 virtual std::unique_ptr<LinOp> row_permute(
561 virtual std::unique_ptr<LinOp> column_permute(
577 virtual std::unique_ptr<LinOp> inverse_row_permute(
594 virtual std::unique_ptr<LinOp> inverse_column_permute(
605 template <
typename ValueType,
typename IndexType>
608 using value_type = ValueType;
609 using index_type = IndexType;
648 this->
read(data.copy_to_host());
660 template <
typename ValueType,
typename IndexType>
663 using value_type = ValueType;
664 using index_type = IndexType;
694 return preconditioner_;
705 preconditioner_ = new_precond;
709 std::shared_ptr<const LinOp> preconditioner_{};
732 virtual std::unique_ptr<LinOp> extract_diagonal_linop()
const = 0;
743 template <
typename ValueType>
746 using value_type = ValueType;
750 std::unique_ptr<LinOp> extract_diagonal_linop()
const override;
757 virtual std::unique_ptr<matrix::Diagonal<ValueType>> extract_diagonal()
794 template <
typename AbsoluteLinOp>
797 using absolute_type = AbsoluteLinOp;
831 GKO_ASSERT_IS_SCALAR(a);
832 GKO_ASSERT_IS_SCALAR(b);
835 add_scaled_identity_impl(ae.get(), be.get());
839 virtual void add_scaled_identity_impl(
const LinOp* a,
const LinOp* b) = 0;
877 template <
typename ConcreteLinOp,
typename PolymorphicBase = LinOp>
888 PolymorphicBase::apply(b, x);
894 PolymorphicBase::apply(b, x);
903 PolymorphicBase::apply(alpha, b, beta, x);
910 PolymorphicBase::apply(alpha, b, beta, x);
915 GKO_ENABLE_SELF(ConcreteLinOp);
936 template <
typename ConcreteFactory,
typename ConcreteLinOp,
937 typename ParametersType,
typename PolymorphicBase =
LinOpFactory>
1018 #define GKO_ENABLE_LIN_OP_FACTORY(_lin_op, _parameters_name, _factory_name) \
1020 const _parameters_name##_type& get_##_parameters_name() const \
1022 return _parameters_name##_; \
1025 class _factory_name \
1026 : public ::gko::EnableDefaultLinOpFactory<_factory_name, _lin_op, \
1027 _parameters_name##_type> { \
1028 friend class ::gko::EnablePolymorphicObject<_factory_name, \
1029 ::gko::LinOpFactory>; \
1030 friend class ::gko::enable_parameters_type<_parameters_name##_type, \
1032 explicit _factory_name(std::shared_ptr<const ::gko::Executor> exec) \
1033 : ::gko::EnableDefaultLinOpFactory<_factory_name, _lin_op, \
1034 _parameters_name##_type>( \
1037 explicit _factory_name(std::shared_ptr<const ::gko::Executor> exec, \
1038 const _parameters_name##_type& parameters) \
1039 : ::gko::EnableDefaultLinOpFactory<_factory_name, _lin_op, \
1040 _parameters_name##_type>( \
1041 std::move(exec), parameters) \
1044 friend ::gko::EnableDefaultLinOpFactory<_factory_name, _lin_op, \
1045 _parameters_name##_type>; \
1049 _parameters_name##_type _parameters_name##_; \
1052 static_assert(true, \
1053 "This assert is used to counter the false positive extra " \
1054 "semi-colon warnings")
1060 #endif // GKO_PUBLIC_CORE_BASE_LIN_OP_HPP_
host_type copy_to_host() const
Copies the device_matrix_data entries to the host to return a regular matrix_data object with the sam...
std::unique_ptr< MatrixType > read(StreamType &&is, MatrixArgs &&... args)
Reads a matrix stored in matrix market format from an input stream.
Definition: mtx_io.hpp:160
void add_scaled_identity(ptr_param< const LinOp > const a, ptr_param< const LinOp > const b)
Scales this and adds another scalar times the identity to it.
Definition: lin_op.hpp:828
Definition: lin_op.hpp:118
A LinOp implementing this interface can be preconditioned.
Definition: lin_op.hpp:683
The AbstractFactory is a generic interface template that enables easy implementation of the abstract ...
Definition: abstract_factory.hpp:45
const LinOp * apply(ptr_param< const LinOp > b, ptr_param< LinOp > x) const
Definition: lin_op.hpp:146
LinOp(LinOp &&other)
Move-constructs a LinOp.
Definition: lin_op.hpp:247
std::unique_ptr< abstract_product_type > generate(Args &&... args) const
Creates a new product from the given components.
Definition: abstract_factory.hpp:67
virtual std::unique_ptr< LinOp > permute(const array< IndexType > *permutation_indices) const
Returns a LinOp representing the symmetric row and column permutation of the Permutable object.
Definition: lin_op.hpp:503
This mixin inherits from (a subclass of) PolymorphicObject and provides a base implementation of a ne...
Definition: polymorphic_object.hpp:346
Linear operators which support transposition should implement the Transposable interface.
Definition: lin_op.hpp:434
The AbsoluteComputable is an interface that allows to get the component wise absolute of a LinOp.
Definition: lin_op.hpp:767
LinOp * apply(ptr_param< const LinOp > alpha, ptr_param< const LinOp > b, ptr_param< const LinOp > beta, ptr_param< LinOp > x)
Performs the operation x = alpha * op(b) + beta * x.
Definition: lin_op.hpp:169
T * get() const
Definition: utils_helper.hpp:77
virtual std::unique_ptr< LinOp > compute_absolute_linop() const =0
Gets the absolute LinOp.
This mixin provides a default implementation of a concrete factory.
Definition: abstract_factory.hpp:124
This mixin is used to enable a default PolymorphicObject::copy_from() implementation for objects that...
Definition: polymorphic_object.hpp:724
detail::cloned_type< Pointer > clone(const Pointer &p)
Creates a unique clone of the object pointed to by p.
Definition: utils_helper.hpp:175
Linear operators which support permutation should implement the Permutable interface.
Definition: lin_op.hpp:485
LinOp & operator=(LinOp &&other)
Move-assigns a LinOp.
Definition: lin_op.hpp:230
virtual std::shared_ptr< const LinOp > get_preconditioner() const
Returns the preconditioner operator used by the Preconditionable.
Definition: lin_op.hpp:692
The Ginkgo namespace.
Definition: abstract_factory.hpp:20
virtual void read(const device_matrix_data< ValueType, IndexType > &data)
Reads a matrix from a device_matrix_data structure.
Definition: lin_op.hpp:635
LinOp * apply(ptr_param< const LinOp > b, ptr_param< LinOp > x)
Applies a linear operator to a vector (or a sequence of vectors).
Definition: lin_op.hpp:130
void read(const matrix_assembly_data< ValueType, IndexType > &data)
Reads a matrix from a matrix_assembly_data structure.
Definition: lin_op.hpp:625
This structure is used as an intermediate data type to store a sparse matrix.
Definition: matrix_data.hpp:127
virtual bool apply_uses_initial_guess() const
Returns true if the linear operator uses the data given in x as an initial guess.
Definition: lin_op.hpp:220
virtual std::unique_ptr< LinOp > inverse_permute(const array< IndexType > *permutation_indices) const
Returns a LinOp representing the symmetric inverse row and column permutation of the Permutable objec...
Definition: lin_op.hpp:524
void write(StreamType &&os, MatrixPtrType &&matrix, layout_type layout=detail::mtx_io_traits< std::remove_cv_t< detail::pointee< MatrixPtrType >>>::default_layout)
Writes a matrix into an output stream in matrix market format.
Definition: mtx_io.hpp:296
const LinOp * apply(ptr_param< const LinOp > alpha, ptr_param< const LinOp > b, ptr_param< const LinOp > beta, ptr_param< LinOp > x) const
Definition: lin_op.hpp:189
This class is a utility which efficiently implements the diagonal matrix (a linear operator which sca...
Definition: lin_op.hpp:32
matrix_data< ValueType, IndexType > get_ordered_data() const
Definition: matrix_assembly_data.hpp:141
virtual void set_preconditioner(std::shared_ptr< const LinOp > new_precond)
Sets the preconditioner operator used by the Preconditionable.
Definition: lin_op.hpp:703
This class is used for function parameters in the place of raw pointers.
Definition: utils_helper.hpp:43
virtual void compute_absolute_inplace()=0
Compute absolute inplace on each element.
virtual void read(device_matrix_data< ValueType, IndexType > &&data)
Reads a matrix from a device_matrix_data structure.
Definition: lin_op.hpp:646
A LinOp implementing this interface can read its data from a matrix_data structure.
Definition: lin_op.hpp:606
A LinOp implementing this interface can write its data to a matrix_data structure.
Definition: lin_op.hpp:661
LinOp & operator=(const LinOp &)=default
Copy-assigns a LinOp.
batch_dim< 2, DimensionType > transpose(const batch_dim< 2, DimensionType > &input)
Returns a batch_dim object with its dimensions swapped for batched operators.
Definition: batch_dim.hpp:120
Adds the operation M <- a I + b M for matrix M, identity operator I and scalars a and b,...
Definition: lin_op.hpp:819
This structure is used as an intermediate type to assemble a sparse matrix.
Definition: matrix_assembly_data.hpp:60
virtual std::unique_ptr< absolute_type > compute_absolute() const =0
Gets the AbsoluteLinOp.
detail::temporary_clone< detail::pointee< Ptr > > make_temporary_clone(std::shared_ptr< const Executor > exec, Ptr &&ptr)
Creates a temporary_clone.
Definition: temporary_clone.hpp:209
The EnableAbsoluteComputation mixin provides the default implementations of compute_absolute_linop an...
Definition: lin_op.hpp:795
A LinOpFactory represents a higher order mapping which transforms one linear operator into another.
Definition: lin_op.hpp:385
std::unique_ptr< LinOp > compute_absolute_linop() const override
Gets the absolute LinOp.
Definition: lin_op.hpp:801
std::shared_ptr< const Executor > get_executor() const noexcept
Returns the Executor of the object.
Definition: polymorphic_object.hpp:235
const dim< 2 > & get_size() const noexcept
Returns the size of the operator.
Definition: lin_op.hpp:211
This type is a device-side equivalent to matrix_data.
Definition: device_matrix_data.hpp:36
The EnableLinOp mixin can be used to provide sensible default implementations of the majority of the ...
Definition: lin_op.hpp:878
LinOp(const LinOp &)=default
Copy-constructs a LinOp.
This mixin inherits from (a subclass of) PolymorphicObject and provides a base implementation of a ne...
Definition: polymorphic_object.hpp:662