Specialization of the abstract IgANet class for function fitting. More...

Inheritance diagram for fitting< Optimizer, GeometryMap, Variable >:

Public Member Functions
auto const &	collPts () const
	Returns a constant reference to the collocation points.

auto const &	collPts () const
	Returns a constant reference to the collocation points.

auto const &	collPts () const
	Returns a constant reference to the collocation points.

auto const &	collPts () const
	Returns a constant reference to the collocation points.

auto const &	collPts () const
	Returns a constant reference to the collocation points.

bool	epoch (int64_t epoch) override
	Initializes the epoch.

bool	epoch (int64_t epoch) override
	Initializes the epoch.

bool	epoch (int64_t epoch) override
	Initializes the epoch.

bool	epoch (int64_t epoch) override
	Initializes the epoch.

bool	epoch (int64_t epoch) override
	Initializes the epoch.

torch::Tensor	loss (const torch::Tensor &outputs, int64_t epoch) override
	Computes the loss function.

torch::Tensor	loss (const torch::Tensor &outputs, int64_t epoch) override
	Computes the loss function.

torch::Tensor	loss (const torch::Tensor &outputs, int64_t epoch) override
	Computes the loss function.

torch::Tensor	loss (const torch::Tensor &outputs, int64_t epoch) override
	Computes the loss function.

torch::Tensor	loss (const torch::Tensor &outputs, int64_t epoch) override
	Computes the loss function.

Public Member Functions inherited from iganet::IgANet< Optimizer, GeometryMap, Variable, iganet::IgABaseNoRefData >
	IgANet (IgANetOptions defaults={}, iganet::Options< typename Base::value_type > options=iganet::Options< typename Base::value_type >{})
	Default constructor.

Private Types
using	Base = iganet::IgANet< Optimizer, GeometryMap, Variable, iganet::IgABaseNoRefData >
	Type of the base class.

using	Base = iganet::IgANet< Optimizer, GeometryMap, Variable, iganet::IgABaseNoRefData >
	Type of the base class.

using	Base = iganet::IgANet< Optimizer, GeometryMap, Variable, iganet::IgABaseNoRefData >
	Type of the base class.

using	Base = iganet::IgANet< Optimizer, GeometryMap, Variable, iganet::IgABaseNoRefData >
	Type of the base class.

using	Base = iganet::IgANet< Optimizer, GeometryMap, Variable, iganet::IgABaseNoRefData >
	Type of the base class.

using	Customizable = iganet::IgANetCustomizable< GeometryMap, Variable >
	Type of the customizable class.

using	Customizable = iganet::IgANetCustomizable< GeometryMap, Variable >
	Type of the customizable class.

using	Customizable = iganet::IgANetCustomizable< GeometryMap, Variable >
	Type of the customizable class.

Private Attributes
Customizable::variable_interior_coeff_indices_type	coeff_indices_
	Coefficient indices.

Base::variable_collPts_type	collPts_
	Collocation points.

Customizable::variable_interior_knot_indices_type	knot_indices_
	Knot indices.

Additional Inherited Members
Public Types inherited from iganet::IgANet< Optimizer, GeometryMap, Variable, iganet::IgABaseNoRefData >
using	Base = iganet::IgABaseNoRefData< GeometryMap, Variable >
	Base type.

using	optimizer_type = Optimizer
	Type of the optimizer.

Public Types inherited from iganet::IgANetCustomizable< GeometryMap, Variable >
using	geometryMap_boundary_coeff_indices_type = decltype(std::declval< GeometryMap >() .template find_coeff_indices< functionspace::boundary >(std::declval< typename GeometryMap::boundary_eval_type >()))
	Type of the coefficient indices of geometry type at the boundary.

using	geometryMap_boundary_knot_indices_type = decltype(std::declval< GeometryMap >() .template find_knot_indices< functionspace::boundary >(std::declval< typename GeometryMap::boundary_eval_type >()))
	Type of the knot indices of the geometry map at the boundary.

using	geometryMap_interior_coeff_indices_type = decltype(std::declval< GeometryMap >() .template find_coeff_indices< functionspace::interior >(std::declval< typename GeometryMap::eval_type >()))
	Type of the coefficient indices of geometry type in the interior.

using	geometryMap_interior_knot_indices_type = decltype(std::declval< GeometryMap >() .template find_knot_indices< functionspace::interior >(std::declval< typename GeometryMap::eval_type >()))
	Type of the knot indices of the geometry map in the interior.

using	variable_boundary_coeff_indices_type = decltype(std::declval< Variable >() .template find_coeff_indices< functionspace::boundary >(std::declval< typename Variable::boundary_eval_type >()))
	Type of the coefficient indices of variable type at the boundary.

using	variable_boundary_knot_indices_type = decltype(std::declval< Variable >() .template find_knot_indices< functionspace::boundary >(std::declval< typename Variable::boundary_eval_type >()))
	Type of the knot indices of boundary_eval_type type at the boundary.

using	variable_interior_coeff_indices_type = decltype(std::declval< Variable >() .template find_coeff_indices< functionspace::interior >(std::declval< typename Variable::eval_type >()))
	Type of the coefficient indices of variable type in the interior.

using	variable_interior_knot_indices_type = decltype(std::declval< Variable >() .template find_knot_indices< functionspace::interior >(std::declval< typename Variable::eval_type >()))
	Type of the knot indices of the variables in the interior.

Protected Attributes inherited from iganet::IgANet< Optimizer, GeometryMap, Variable, iganet::IgABaseNoRefData >
IgANetGenerator< typename Base::value_type >	net_
	IgANet generator.

Optimizer	opt_
	Optimizer.

IgANetOptions	options_
	Options.

Detailed Description

template<typename Optimizer, typename GeometryMap, typename Variable>
class fitting< Optimizer, GeometryMap, Variable >

Specialization of the abstract IgANet class for function fitting.

Member Typedef Documentation

◆ Base [1/5]

template<typename Optimizer , typename GeometryMap , typename Variable >

using fitting< Optimizer, GeometryMap, Variable >::Base = iganet::IgANet<Optimizer, GeometryMap, Variable, iganet::IgABaseNoRefData>

private

Type of the base class.

◆ Base [2/5]

template<typename Optimizer , typename GeometryMap , typename Variable >

using fitting< Optimizer, GeometryMap, Variable >::Base = iganet::IgANet<Optimizer, GeometryMap, Variable, iganet::IgABaseNoRefData>

private

Type of the base class.

◆ Base [3/5]

template<typename Optimizer , typename GeometryMap , typename Variable >

using fitting< Optimizer, GeometryMap, Variable >::Base = iganet::IgANet<Optimizer, GeometryMap, Variable, iganet::IgABaseNoRefData>

private

Type of the base class.

◆ Base [4/5]

template<typename Optimizer , typename GeometryMap , typename Variable >

using fitting< Optimizer, GeometryMap, Variable >::Base = iganet::IgANet<Optimizer, GeometryMap, Variable, iganet::IgABaseNoRefData>

private

Type of the base class.

◆ Base [5/5]

template<typename Optimizer , typename GeometryMap , typename Variable >

using fitting< Optimizer, GeometryMap, Variable >::Base = iganet::IgANet<Optimizer, GeometryMap, Variable, iganet::IgABaseNoRefData>

private

Type of the base class.

◆ Customizable [1/3]

template<typename Optimizer , typename GeometryMap , typename Variable >

using fitting< Optimizer, GeometryMap, Variable >::Customizable = iganet::IgANetCustomizable<GeometryMap, Variable>

private

Type of the customizable class.

◆ Customizable [2/3]

template<typename Optimizer , typename GeometryMap , typename Variable >

using fitting< Optimizer, GeometryMap, Variable >::Customizable = iganet::IgANetCustomizable<GeometryMap, Variable>

private

Type of the customizable class.

◆ Customizable [3/3]

template<typename Optimizer , typename GeometryMap , typename Variable >

using fitting< Optimizer, GeometryMap, Variable >::Customizable = iganet::IgANetCustomizable<GeometryMap, Variable>

private

Type of the customizable class.

Member Function Documentation

◆ collPts() [1/5]

template<typename Optimizer , typename GeometryMap , typename Variable >

auto const & fitting< Optimizer, GeometryMap, Variable >::collPts ( ) const

inline

Returns a constant reference to the collocation points.

◆ collPts() [2/5]

template<typename Optimizer , typename GeometryMap , typename Variable >

auto const & fitting< Optimizer, GeometryMap, Variable >::collPts ( ) const

inline

Returns a constant reference to the collocation points.

◆ collPts() [3/5]

template<typename Optimizer , typename GeometryMap , typename Variable >

auto const & fitting< Optimizer, GeometryMap, Variable >::collPts ( ) const

inline

Returns a constant reference to the collocation points.

◆ collPts() [4/5]

template<typename Optimizer , typename GeometryMap , typename Variable >

auto const & fitting< Optimizer, GeometryMap, Variable >::collPts ( ) const

inline

Returns a constant reference to the collocation points.

◆ collPts() [5/5]

template<typename Optimizer , typename GeometryMap , typename Variable >

auto const & fitting< Optimizer, GeometryMap, Variable >::collPts ( ) const

inline

Returns a constant reference to the collocation points.

◆ epoch() [1/5]

template<typename Optimizer , typename GeometryMap , typename Variable >

bool fitting< Optimizer, GeometryMap, Variable >::epoch ( int64_t epoch )

inlineoverridevirtual

Initializes the epoch.

Parameters

[in] epoch Epoch number

Implements iganet::IgANet< Optimizer, GeometryMap, Variable, iganet::IgABaseNoRefData >.

◆ epoch() [2/5]

template<typename Optimizer , typename GeometryMap , typename Variable >

bool fitting< Optimizer, GeometryMap, Variable >::epoch ( int64_t epoch )

inlineoverridevirtual

Initializes the epoch.

Parameters

[in] epoch Epoch number

Implements iganet::IgANet< Optimizer, GeometryMap, Variable, iganet::IgABaseNoRefData >.

◆ epoch() [3/5]

template<typename Optimizer , typename GeometryMap , typename Variable >

bool fitting< Optimizer, GeometryMap, Variable >::epoch ( int64_t epoch )

inlineoverridevirtual

Initializes the epoch.

Parameters

[in] epoch Epoch number

Implements iganet::IgANet< Optimizer, GeometryMap, Variable, iganet::IgABaseNoRefData >.

◆ epoch() [4/5]

template<typename Optimizer , typename GeometryMap , typename Variable >

bool fitting< Optimizer, GeometryMap, Variable >::epoch ( int64_t epoch )

inlineoverridevirtual

Initializes the epoch.

Parameters

[in] epoch Epoch number

Implements iganet::IgANet< Optimizer, GeometryMap, Variable, iganet::IgABaseNoRefData >.

◆ epoch() [5/5]

template<typename Optimizer , typename GeometryMap , typename Variable >

bool fitting< Optimizer, GeometryMap, Variable >::epoch ( int64_t epoch )

inlineoverridevirtual

Initializes the epoch.

Parameters

[in] epoch Epoch number

Implements iganet::IgANet< Optimizer, GeometryMap, Variable, iganet::IgABaseNoRefData >.

◆ loss() [1/5]

template<typename Optimizer , typename GeometryMap , typename Variable >

torch::Tensor fitting< Optimizer, GeometryMap, Variable >::loss	(	const torch::Tensor &	outputs,
		int64_t	epoch
	)

inlineoverridevirtual

Computes the loss function.

Parameters

[in]	outputs	Output of the network
[in]	epoch	Epoch number

Implements iganet::IgANet< Optimizer, GeometryMap, Variable, iganet::IgABaseNoRefData >.

◆ loss() [2/5]

template<typename Optimizer , typename GeometryMap , typename Variable >

torch::Tensor fitting< Optimizer, GeometryMap, Variable >::loss	(	const torch::Tensor &	outputs,
		int64_t	epoch
	)

inlineoverridevirtual

Computes the loss function.

Parameters

[in]	outputs	Output of the network
[in]	epoch	Epoch number

Implements iganet::IgANet< Optimizer, GeometryMap, Variable, iganet::IgABaseNoRefData >.

◆ loss() [3/5]

template<typename Optimizer , typename GeometryMap , typename Variable >

torch::Tensor fitting< Optimizer, GeometryMap, Variable >::loss	(	const torch::Tensor &	outputs,
		int64_t	epoch
	)

inlineoverridevirtual

Computes the loss function.

Parameters

[in]	outputs	Output of the network
[in]	epoch	Epoch number

Implements iganet::IgANet< Optimizer, GeometryMap, Variable, iganet::IgABaseNoRefData >.

◆ loss() [4/5]

template<typename Optimizer , typename GeometryMap , typename Variable >

torch::Tensor fitting< Optimizer, GeometryMap, Variable >::loss	(	const torch::Tensor &	outputs,
		int64_t	epoch
	)

inlineoverridevirtual

Computes the loss function.

Parameters

[in]	outputs	Output of the network
[in]	epoch	Epoch number

Implements iganet::IgANet< Optimizer, GeometryMap, Variable, iganet::IgABaseNoRefData >.

◆ loss() [5/5]

template<typename Optimizer , typename GeometryMap , typename Variable >

torch::Tensor fitting< Optimizer, GeometryMap, Variable >::loss	(	const torch::Tensor &	outputs,
		int64_t	epoch
	)

inlineoverridevirtual

Computes the loss function.

Parameters

[in]	outputs	Output of the network
[in]	epoch	Epoch number

Implements iganet::IgANet< Optimizer, GeometryMap, Variable, iganet::IgABaseNoRefData >.

Member Data Documentation

◆ coeff_indices_

template<typename Optimizer , typename GeometryMap , typename Variable >

Customizable::variable_interior_coeff_indices_type fitting< Optimizer, GeometryMap, Variable >::coeff_indices_

private

Coefficient indices.

◆ collPts_

template<typename Optimizer , typename GeometryMap , typename Variable >

Base::variable_collPts_type fitting< Optimizer, GeometryMap, Variable >::collPts_

private

Collocation points.

◆ knot_indices_

template<typename Optimizer , typename GeometryMap , typename Variable >

Customizable::variable_interior_knot_indices_type fitting< Optimizer, GeometryMap, Variable >::knot_indices_

private

Knot indices.

The documentation for this class was generated from the following files:

examples/iganet_fitting.cxx
examples/iganet_fitting_geometry.cxx
examples/iganet_fitting_geometry_dataloader.cxx
examples/iganet_fitting_geometry_simple.cxx
examples/iganet_fitting_simple.cxx

Public Member Functions

Private Types

Private Attributes

Additional Inherited Members

Detailed Description

Member Typedef Documentation

◆ Base [1/5]

◆ Base [2/5]

◆ Base [3/5]

◆ Base [4/5]

◆ Base [5/5]

◆ Customizable [1/3]

◆ Customizable [2/3]

◆ Customizable [3/3]

Member Function Documentation

◆ collPts() [1/5]

◆ collPts() [2/5]

◆ collPts() [3/5]

◆ collPts() [4/5]

◆ collPts() [5/5]

◆ epoch() [1/5]

◆ epoch() [2/5]

◆ epoch() [3/5]

◆ epoch() [4/5]

◆ epoch() [5/5]

◆ loss() [1/5]

◆ loss() [2/5]

◆ loss() [3/5]

◆ loss() [4/5]

◆ loss() [5/5]

Member Data Documentation

◆ coeff_indices_

◆ collPts_

◆ knot_indices_