Boundary (common high-level functionality). More...

#include </home/runner/work/iganet/iganet/include/iganet/splines/boundary.hpp>

Inheritance diagram for iganet::BoundaryCommon< BoundaryCore >:

Public Member Functions
torch::Tensor	as_tensor () const
	Returns all coefficients of all spline objects as a single tensor.

int64_t	as_tensor_size () const
	Returns the size of the single tensor representation of all spline objects.

BoundaryCommon	clone () const
	Returns a clone of the boundary object.

auto	device () const noexcept
	Auto-generated functions.

auto	device_index () const noexcept
	Returns the `device_index` property of all splines.

auto	dtype () const noexcept
	Returns the `dtype` property of all splines.

template<bool memory_optimized = false, typename... Indices>
auto	find_coeff_indices (const std::tuple< Indices... > &indices) const
	Returns the indices of the spline objects' coefficients corresponding to the knot indices `indices`.

template<typename... Xi>
auto	find_knot_indices (const std::tuple< Xi... > &xi) const
	Returns the knot indices of knot spans containing `xi`.

auto &	from_tensor (const torch::Tensor &tensor)
	Sets the coefficients of all spline objects from a single tensor.

BoundaryCommon &	from_xml (const pugi::xml_document &doc, int id=0, const std::string &label="", int index=-1)
	Updates the boundary object from XML object.

BoundaryCommon &	from_xml (const pugi::xml_node &root, int id=0, const std::string &label="", int index=-1)
	Updates the boundary object from XML node.

auto	is_nonuniform () const noexcept
	Returns whether each B-spline is non-uniform.

auto	is_sparse () const noexcept
	Returns whether the layout of each spline is sparse.

auto	is_uniform () const noexcept
	Returns whether each B-spline is uniform.

template<typename BoundaryCore_ >
bool	isclose (const BoundaryCommon< BoundaryCore_ > &other, BoundaryCore::spline_type::value_type rtol=typename BoundaryCore::spline_type::value_type{1e-5}, BoundaryCore::spline_type::value_type atol=typename BoundaryCore::spline_type::value_type{1e-8}) const
	Returns true if both boundary objects are close up to the given tolerances.

auto	layout () const noexcept
	Returns the `layout` property of all splines.

void	load (const std::string &filename, const std::string &key="boundary")
	Loads the boundary spline object from file.

template<typename BoundaryCore_ >
bool	operator!= (const BoundaryCommon< BoundaryCore_ > &other) const
	Returns true if both boundary objects are different.

template<typename BoundaryCore_ >
bool	operator== (const BoundaryCommon< BoundaryCore_ > &other) const
	Returns true if both boundary objects are the same.

auto	pinned_memory () const noexcept
	Returns the `pinned_memory` property of all splines.

torch::serialize::InputArchive &	read (torch::serialize::InputArchive &archive, const std::string &key="boundary")
	Loads the boundary spline object from a torch::serialize::InputArchive object.

auto	requires_grad () const noexcept
	Returns the `requires_grad` property of all splines.

void	save (const std::string &filename, const std::string &key="boundary") const
	Saves the boundary spline to file.

BoundaryCommon &	set_requires_grad (bool requires_grad)
	Sets the boundary object's `requires_grad` property.

template<typename real_t >
auto	to () const
	Returns a copy of the boundary object with real_t type.

template<typename real_t >
auto	to (Options< real_t > options) const
	Returns a copy of the boundary object with settings from options.

auto	to (torch::Device device) const
	Returns a copy of the boundary object with settings from device.

pugi::xml_document	to_xml (int id=0, const std::string &label="", int index=-1) const
	Returns the boundary object as XML object.

pugi::xml_node &	to_xml (pugi::xml_node &root, int id=0, const std::string &label="", int index=-1) const
	Returns the boundary object as XML node.

auto &	uniform_refine (int numRefine=1, int dim=-1)
	Returns the spline objects with uniformly refined knot and coefficient vectors.

torch::serialize::OutputArchive &	write (torch::serialize::OutputArchive &archive, const std::string &key="boundary") const
	Writes the boundary spline object into a torch::serialize::OutputArchive object.

Private Member Functions
template<std::size_t... Is>
torch::Tensor	as_tensor_ (std::index_sequence< Is... >) const
	Returns all coefficients of all spline objects as a single tensor.

template<std::size_t... Is>
int64_t	as_tensor_size_ (std::index_sequence< Is... >) const
	Returns the size of the single tensor representation of all spline objects.

template<bool memory_optimized = false, size_t... Is, typename... Indices>
auto	find_coeff_indices_ (std::index_sequence< Is... >, const std::tuple< Indices... > &indices) const
	Returns the indices of the boundary spline object's coefficients corresponding to the knot indices `indices`.

template<size_t... Is, typename... Xi>
auto	find_knot_indices_ (std::index_sequence< Is... >, const std::tuple< Xi... > &xi) const
	Returns the knot indices of the boundary spline object knot spans containing `xi`.

template<std::size_t... Is>
auto &	from_tensor_ (std::index_sequence< Is... >, const torch::Tensor &tensor)
	Sets the coefficients of all spline objects from a single tensor.

template<typename BoundaryCore_ , size_t... Is>
bool	isclose_ (std::index_sequence< Is... >, const BoundaryCommon< BoundaryCore_ > &other, BoundaryCore::spline_type::value_type rtol, BoundaryCore::spline_type::value_type atol) const
	Returns true if both boundary spline objects are close up to the given tolerances.

template<typename BoundaryCore_ , size_t... Is>
bool	isequal_ (std::index_sequence< Is... >, const BoundaryCommon< BoundaryCore_ > &other) const
	Returns true if both boundary spline objects are the same.

template<size_t... Is>
torch::serialize::InputArchive &	read_ (std::index_sequence< Is... >, torch::serialize::InputArchive &archive, const std::string &key="boundary")
	Loads the function space object from a torch::serialize::InputArchive object.

template<size_t... Is>
auto &	uniform_refine_ (std::index_sequence< Is... >, int numRefine=1, int dim=-1)
	Returns the boundary spline object with uniformly refined knot and coefficient vectors.

template<size_t... Is>
torch::serialize::OutputArchive &	write_ (std::index_sequence< Is... >, torch::serialize::OutputArchive &archive, const std::string &key="boundary") const
	Writes the boundary spline object into a torch::serialize::OutputArchive object.

Detailed Description

template<typename BoundaryCore>
class iganet::BoundaryCommon< BoundaryCore >

Boundary (common high-level functionality).

Member Function Documentation

◆ as_tensor()

template<typename BoundaryCore >

torch::Tensor iganet::BoundaryCommon< BoundaryCore >::as_tensor ( ) const

inline

Returns all coefficients of all spline objects as a single tensor.

Returns: Tensor of coefficients.

◆ as_tensor_()

template<typename BoundaryCore >

template<std::size_t... Is>

torch::Tensor iganet::BoundaryCommon< BoundaryCore >::as_tensor_ ( std::index_sequence< Is... > ) const

inlineprivate

Returns all coefficients of all spline objects as a single tensor.

Returns: Tensor of coefficients.

◆ as_tensor_size()

template<typename BoundaryCore >

int64_t iganet::BoundaryCommon< BoundaryCore >::as_tensor_size ( ) const

inline

Returns the size of the single tensor representation of all spline objects.

Returns: Size of the tensor.

◆ as_tensor_size_()

template<typename BoundaryCore >

template<std::size_t... Is>

int64_t iganet::BoundaryCommon< BoundaryCore >::as_tensor_size_ ( std::index_sequence< Is... > ) const

inlineprivate

Returns the size of the single tensor representation of all spline objects.

Returns: Size of the tensor.

◆ clone()

template<typename BoundaryCore >

BoundaryCommon iganet::BoundaryCommon< BoundaryCore >::clone ( ) const

inline

Returns a clone of the boundary object.

Returns: Result of the operation.

◆ device()

template<typename BoundaryCore >

auto iganet::BoundaryCommon< BoundaryCore >::device ( ) const

inlinenoexcept

Auto-generated functions.

Returns the device property of all splines.

Returns: Result of the operation.

◆ device_index()

template<typename BoundaryCore >

auto iganet::BoundaryCommon< BoundaryCore >::device_index ( ) const

inlinenoexcept

Returns the device_index property of all splines.

Returns: Result of the operation.

◆ dtype()

template<typename BoundaryCore >

auto iganet::BoundaryCommon< BoundaryCore >::dtype ( ) const

inlinenoexcept

Returns the dtype property of all splines.

Returns: Result of the operation.

◆ eval() [1/3]

template<typename BoundaryCore >

template<deriv deriv = deriv::func, bool memory_optimized = false, typename... Xi>

auto iganet::BoundaryCommon< BoundaryCore >::eval ( const std::tuple< Xi... > & xi ) const

inline

Returns the values of the spline objects in the points xi

Parameters

xi	Parametric coordinates.

Returns: Result of the operation.

◆ eval() [2/3]

template<typename BoundaryCore >

template<deriv deriv = deriv::func, bool memory_optimized = false, typename... Xi, typename... Indices>

auto iganet::BoundaryCommon< BoundaryCore >::eval	(	const std::tuple< Xi... > &	xi,
		const std::tuple< Indices... > &	indices
	)		const

inline

Provides the eval operation.

Parameters

xi	Parametric coordinates.
indices	Value of `indices`.

Returns: Result of the operation.

◆ eval() [3/3]

template<typename BoundaryCore >

template<deriv deriv = deriv::func, bool memory_optimized = false, typename... Xi, typename... Indices, typename... Coeff_Indices>

auto iganet::BoundaryCommon< BoundaryCore >::eval	(	const std::tuple< Xi... > &	xi,
		const std::tuple< Indices... > &	indices,
		const std::tuple< Coeff_Indices... > &	coeff_indices
	)		const

inline

Provides the eval operation.

Parameters

xi	Parametric coordinates.
indices	Value of `indices`.
coeff_indices	Value of `coeff_indices`.

Returns: Result of the operation.

◆ eval_() [1/3]

template<typename BoundaryCore >

template<deriv deriv = deriv::func, bool memory_optimized = false, size_t... Is, typename... Xi>

auto iganet::BoundaryCommon< BoundaryCore >::eval_	(	std::index_sequence< Is... >	,
		const std::tuple< Xi... > &	xi
	)		const

inlineprivate

Returns the values of the boundary spline objects in the points xi

◆ eval_() [2/3]

template<typename BoundaryCore >

template<deriv deriv = deriv::func, bool memory_optimized = false, size_t... Is, typename... Xi, typename... Indices>

auto iganet::BoundaryCommon< BoundaryCore >::eval_	(	std::index_sequence< Is... >	,
		const std::tuple< Xi... > &	xi,
		const std::tuple< Indices... > &	indices
	)		const

inlineprivate

Returns the values of the boundary spline objects in the points xi

◆ eval_() [3/3]

template<typename BoundaryCore >

template<deriv deriv = deriv::func, bool memory_optimized = false, size_t... Is, typename... Xi, typename... Indices, typename... Coeff_Indices>

auto iganet::BoundaryCommon< BoundaryCore >::eval_	(	std::index_sequence< Is... >	,
		const std::tuple< Xi... > &	xi,
		const std::tuple< Indices... > &	indices,
		const std::tuple< Coeff_Indices... > &	coeff_indices
	)		const

inlineprivate

Returns the values of the boundary spline objects in the points xi

◆ eval_basfunc() [1/2]

template<typename BoundaryCore >

template<deriv deriv = deriv::func, bool memory_optimized = false, typename... Xi>

auto iganet::BoundaryCommon< BoundaryCore >::eval_basfunc ( const std::tuple< Xi... > & xi ) const

inline

Returns the values of the spline objects' basis functions in the points xi

Parameters

xi	Parametric coordinates.

Returns: Result of the operation.

◆ eval_basfunc() [2/2]

template<typename BoundaryCore >

template<deriv deriv = deriv::func, bool memory_optimized = false, typename... Xi, typename... Indices>

auto iganet::BoundaryCommon< BoundaryCore >::eval_basfunc	(	const std::tuple< Xi... > &	xi,
		const std::tuple< Indices... > &	indices
	)		const

inline

Provides the eval_basfunc operation.

Parameters

xi	Parametric coordinates.
indices	Value of `indices`.

Returns: Result of the operation.

◆ eval_basfunc_() [1/2]

template<typename BoundaryCore >

template<deriv deriv = deriv::func, bool memory_optimized = false, size_t... Is, typename... Xi>

auto iganet::BoundaryCommon< BoundaryCore >::eval_basfunc_	(	std::index_sequence< Is... >	,
		const std::tuple< Xi... > &	xi
	)		const

inlineprivate

Returns the values of the boundary spline object's basis functions in the points xi

◆ eval_basfunc_() [2/2]

template<typename BoundaryCore >

template<deriv deriv = deriv::func, bool memory_optimized = false, size_t... Is, typename... Xi, typename... Indices>

auto iganet::BoundaryCommon< BoundaryCore >::eval_basfunc_	(	std::index_sequence< Is... >	,
		const std::tuple< Xi... > &	xi,
		const std::tuple< Indices... > &	indices
	)		const

inlineprivate

Returns the values of the boundary spline object's basis functions in the points xi

◆ eval_from_precomputed() [1/2]

template<typename BoundaryCore >

template<typename... Basfunc, typename... Coeff_Indices, typename... Numeval, typename... Sizes>

auto iganet::BoundaryCommon< BoundaryCore >::eval_from_precomputed	(	const std::tuple< Basfunc... > &	basfunc,
		const std::tuple< Coeff_Indices... > &	coeff_indices,
		const std::tuple< Numeval... > &	numeval,
		const std::tuple< Sizes... > &	sizes
	)		const

inline

Returns the value of the spline objects from precomputed basis function.

Parameters

basfunc	Value of `basfunc`.
coeff_indices	Value of `coeff_indices`.
numeval	Value of `numeval`.
sizes	Value of `sizes`.

Returns: Result of the operation.

◆ eval_from_precomputed() [2/2]

template<typename BoundaryCore >

template<typename... Basfunc, typename... Coeff_Indices, typename... Xi>

auto iganet::BoundaryCommon< BoundaryCore >::eval_from_precomputed	(	const std::tuple< Basfunc... > &	basfunc,
		const std::tuple< Coeff_Indices... > &	coeff_indices,
		const std::tuple< Xi... > &	xi
	)		const

inline

Provides the eval_from_precomputed operation.

Template Parameters

Basfunc	Template parameter `Basfunc`.
Coeff_Indices	Template parameter `Coeff_Indices`.
Xi	Template parameter `Xi`.

Parameters

basfunc	Value of `basfunc`.
coeff_indices	Value of `coeff_indices`.
xi	Parametric coordinates.

Returns: Result of the operation.

◆ eval_from_precomputed_() [1/2]

template<typename BoundaryCore >

template<size_t... Is, typename... Basfunc, typename... Coeff_Indices, typename... Numeval, typename... Sizes>

auto iganet::BoundaryCommon< BoundaryCore >::eval_from_precomputed_	(	std::index_sequence< Is... >	,
		const std::tuple< Basfunc... > &	basfunc,
		const std::tuple< Coeff_Indices... > &	coeff_indices,
		const std::tuple< Numeval... > &	numeval,
		const std::tuple< Sizes... > &	sizes
	)		const

inlineprivate

Returns the value of the boundary spline objects from precomputed basis function.

◆ eval_from_precomputed_() [2/2]

template<typename BoundaryCore >

template<size_t... Is, typename... Basfunc, typename... Coeff_Indices, typename... Xi>

auto iganet::BoundaryCommon< BoundaryCore >::eval_from_precomputed_	(	std::index_sequence< Is... >	,
		const std::tuple< Basfunc... > &	basfunc,
		const std::tuple< Coeff_Indices... > &	coeff_indices,
		const std::tuple< Xi... > &	xi
	)		const

inlineprivate

Returns the value of the boundary spline objects from precomputed basis function.

◆ find_coeff_indices()

template<typename BoundaryCore >

template<bool memory_optimized = false, typename... Indices>

auto iganet::BoundaryCommon< BoundaryCore >::find_coeff_indices ( const std::tuple< Indices... > & indices ) const

inline

Returns the indices of the spline objects' coefficients corresponding to the knot indices indices.

Template Parameters

memory_optimized	Template parameter `memory_optimized`.
Indices	Template parameter `Indices`.

Parameters

indices Value of indices.

Returns: Result of the operation.

◆ find_coeff_indices_()

template<typename BoundaryCore >

template<bool memory_optimized = false, size_t... Is, typename... Indices>

auto iganet::BoundaryCommon< BoundaryCore >::find_coeff_indices_	(	std::index_sequence< Is... >	,
		const std::tuple< Indices... > &	indices
	)		const

inlineprivate

Returns the indices of the boundary spline object's coefficients corresponding to the knot indices indices.

◆ find_knot_indices()

template<typename BoundaryCore >

template<typename... Xi>

auto iganet::BoundaryCommon< BoundaryCore >::find_knot_indices ( const std::tuple< Xi... > & xi ) const

inline

Returns the knot indices of knot spans containing xi.

Template Parameters

Xi	Template parameter `Xi`.

Parameters

xi	Parametric coordinates.

Returns: Result of the operation.

◆ find_knot_indices_()

template<typename BoundaryCore >

template<size_t... Is, typename... Xi>

auto iganet::BoundaryCommon< BoundaryCore >::find_knot_indices_	(	std::index_sequence< Is... >	,
		const std::tuple< Xi... > &	xi
	)		const

inlineprivate

Returns the knot indices of the boundary spline object knot spans containing xi.

◆ from_tensor()

template<typename BoundaryCore >

auto & iganet::BoundaryCommon< BoundaryCore >::from_tensor ( const torch::Tensor & tensor )

inline

Sets the coefficients of all spline objects from a single tensor.

Parameters

[in] tensor Tensor from which to extract the coefficients.

Returns: Updated spline objects.

◆ from_tensor_()

template<typename BoundaryCore >

template<std::size_t... Is>

auto & iganet::BoundaryCommon< BoundaryCore >::from_tensor_	(	std::index_sequence< Is... >	,
		const torch::Tensor &	tensor
	)

inlineprivate

Sets the coefficients of all spline objects from a single tensor.

Parameters

[in] tensor Tensor from which to extract the coefficients.

Returns: Updates spline object.

◆ from_xml() [1/2]

template<typename BoundaryCore >

BoundaryCommon & iganet::BoundaryCommon< BoundaryCore >::from_xml	(	const pugi::xml_document &	doc,
		int	id = `0`,
		const std::string &	label = `""`,
		int	index = `-1`
	)

inline

Updates the boundary object from XML object.

Parameters

doc	Value of `doc`.
id	Object identifier.
label	Object label.
index	Object index.

Returns: Result of the operation.

◆ from_xml() [2/2]

template<typename BoundaryCore >

BoundaryCommon & iganet::BoundaryCommon< BoundaryCore >::from_xml	(	const pugi::xml_node &	root,
		int	id = `0`,
		const std::string &	label = `""`,
		int	index = `-1`
	)

inline

Updates the boundary object from XML node.

Parameters

root	Root XML node.
id	Object identifier.
label	Object label.
index	Object index.

Returns: Result of the operation.

◆ is_nonuniform()

template<typename BoundaryCore >

auto iganet::BoundaryCommon< BoundaryCore >::is_nonuniform ( ) const

inlinenoexcept

Returns whether each B-spline is non-uniform.

Returns: Result of the operation.

◆ is_sparse()

template<typename BoundaryCore >

auto iganet::BoundaryCommon< BoundaryCore >::is_sparse ( ) const

inlinenoexcept

Returns whether the layout of each spline is sparse.

Returns: Result of the operation.

◆ is_uniform()

template<typename BoundaryCore >

auto iganet::BoundaryCommon< BoundaryCore >::is_uniform ( ) const

inlinenoexcept

Returns whether each B-spline is uniform.

Returns: Result of the operation.

◆ isclose()

template<typename BoundaryCore >

template<typename BoundaryCore_ >

bool iganet::BoundaryCommon< BoundaryCore >::isclose	(	const BoundaryCommon< BoundaryCore_ > &	other,
		BoundaryCore::spline_type::value_type	rtol = `typename BoundaryCore::spline_type::value_type{1e-5}`,
		BoundaryCore::spline_type::value_type	atol = `typename BoundaryCore::spline_type::value_type{1e-8}`
	)		const

inline

Returns true if both boundary objects are close up to the given tolerances.

Template Parameters

BoundaryCore_ Template parameter BoundaryCore_.

Parameters

other	Second input value.
rtol	Value of `rtol`.
atol	Value of `atol`.

Returns: Result of the operation.

◆ isclose_()

template<typename BoundaryCore >

template<typename BoundaryCore_ , size_t... Is>

bool iganet::BoundaryCommon< BoundaryCore >::isclose_	(	std::index_sequence< Is... >	,
		const BoundaryCommon< BoundaryCore_ > &	other,
		BoundaryCore::spline_type::value_type	rtol,
		BoundaryCore::spline_type::value_type	atol
	)		const

inlineprivate

Returns true if both boundary spline objects are close up to the given tolerances.

◆ isequal_()

template<typename BoundaryCore >

template<typename BoundaryCore_ , size_t... Is>

bool iganet::BoundaryCommon< BoundaryCore >::isequal_	(	std::index_sequence< Is... >	,
		const BoundaryCommon< BoundaryCore_ > &	other
	)		const

inlineprivate

Returns true if both boundary spline objects are the same.

◆ layout()

template<typename BoundaryCore >

auto iganet::BoundaryCommon< BoundaryCore >::layout ( ) const

inlinenoexcept

Returns the layout property of all splines.

Returns: Result of the operation.

◆ load()

template<typename BoundaryCore >

void iganet::BoundaryCommon< BoundaryCore >::load	(	const std::string &	filename,
		const std::string &	key = `"boundary"`
	)

inline

Loads the boundary spline object from file.

Parameters

filename	Path of the file to process.
key	Serialization key.

◆ operator!=()

template<typename BoundaryCore >

template<typename BoundaryCore_ >

bool iganet::BoundaryCommon< BoundaryCore >::operator!= ( const BoundaryCommon< BoundaryCore_ > & other ) const

inline

Returns true if both boundary objects are different.

Template Parameters

BoundaryCore_ Template parameter BoundaryCore_.

Parameters

other Second input value.

Returns: Result of the operation.

◆ operator==()

template<typename BoundaryCore >

template<typename BoundaryCore_ >

bool iganet::BoundaryCommon< BoundaryCore >::operator== ( const BoundaryCommon< BoundaryCore_ > & other ) const

inline

Returns true if both boundary objects are the same.

Template Parameters

BoundaryCore_ Template parameter BoundaryCore_.

Parameters

other Second input value.

Returns: Result of the operation.

◆ pinned_memory()

template<typename BoundaryCore >

auto iganet::BoundaryCommon< BoundaryCore >::pinned_memory ( ) const

inlinenoexcept

Returns the pinned_memory property of all splines.

Returns: Result of the operation.

◆ read()

template<typename BoundaryCore >

torch::serialize::InputArchive & iganet::BoundaryCommon< BoundaryCore >::read	(	torch::serialize::InputArchive &	archive,
		const std::string &	key = `"boundary"`
	)

inline

Loads the boundary spline object from a torch::serialize::InputArchive object.

Parameters

archive	Serialization archive.
key	Serialization key.

Returns: Result of the operation.

◆ read_()

template<typename BoundaryCore >

template<size_t... Is>

torch::serialize::InputArchive & iganet::BoundaryCommon< BoundaryCore >::read_	(	std::index_sequence< Is... >	,
		torch::serialize::InputArchive &	archive,
		const std::string &	key = `"boundary"`
	)

inlineprivate

Loads the function space object from a torch::serialize::InputArchive object.

◆ requires_grad()

template<typename BoundaryCore >

auto iganet::BoundaryCommon< BoundaryCore >::requires_grad ( ) const

inlinenoexcept

Returns the requires_grad property of all splines.

Returns: Result of the operation.

◆ save()

template<typename BoundaryCore >

void iganet::BoundaryCommon< BoundaryCore >::save	(	const std::string &	filename,
		const std::string &	key = `"boundary"`
	)		const

inline

Saves the boundary spline to file.

Parameters

filename	Path of the file to process.
key	Serialization key.

◆ set_requires_grad()

template<typename BoundaryCore >

BoundaryCommon & iganet::BoundaryCommon< BoundaryCore >::set_requires_grad ( bool requires_grad )

inline

Sets the boundary object's requires_grad property.

Parameters

requires_grad Value of requires_grad.

Returns: Result of the operation.

◆ to() [1/3]

template<typename BoundaryCore >

template<typename real_t >

auto iganet::BoundaryCommon< BoundaryCore >::to ( ) const

inline

Returns a copy of the boundary object with real_t type.

Template Parameters

real_t Template parameter real_t.

Returns: Result of the operation.

◆ to() [2/3]

template<typename BoundaryCore >

template<typename real_t >

auto iganet::BoundaryCommon< BoundaryCore >::to ( Options< real_t > options ) const

inline

Returns a copy of the boundary object with settings from options.

Template Parameters

real_t Template parameter real_t.

Parameters

options Configuration options.

Returns: Result of the operation.

◆ to() [3/3]

template<typename BoundaryCore >

auto iganet::BoundaryCommon< BoundaryCore >::to ( torch::Device device ) const

inline

Returns a copy of the boundary object with settings from device.

Parameters

device Target device.

Returns: Result of the operation.

◆ to_xml() [1/2]

template<typename BoundaryCore >

pugi::xml_document iganet::BoundaryCommon< BoundaryCore >::to_xml	(	int	id = `0`,
		const std::string &	label = `""`,
		int	index = `-1`
	)		const

inline

Returns the boundary object as XML object.

Parameters

id	Object identifier.
label	Object label.
index	Object index.

Returns: Result of the operation.

◆ to_xml() [2/2]

template<typename BoundaryCore >

pugi::xml_node & iganet::BoundaryCommon< BoundaryCore >::to_xml	(	pugi::xml_node &	root,
		int	id = `0`,
		const std::string &	label = `""`,
		int	index = `-1`
	)		const

inline

Returns the boundary object as XML node.

Parameters

root	Root XML node.
id	Object identifier.
label	Object label.
index	Object index.

Returns: Result of the operation.

◆ uniform_refine()

template<typename BoundaryCore >

auto & iganet::BoundaryCommon< BoundaryCore >::uniform_refine	(	int	numRefine = `1`,
		int	dim = `-1`
	)

inline

Returns the spline objects with uniformly refined knot and coefficient vectors.

Parameters

numRefine	Value of `numRefine`.
dim	Value of `dim`.

Returns: Result of the operation.

◆ uniform_refine_()

template<typename BoundaryCore >

template<size_t... Is>

auto & iganet::BoundaryCommon< BoundaryCore >::uniform_refine_	(	std::index_sequence< Is... >	,
		int	numRefine = `1`,
		int	dim = `-1`
	)

inlineprivate

Returns the boundary spline object with uniformly refined knot and coefficient vectors.

◆ write()

template<typename BoundaryCore >

torch::serialize::OutputArchive & iganet::BoundaryCommon< BoundaryCore >::write	(	torch::serialize::OutputArchive &	archive,
		const std::string &	key = `"boundary"`
	)		const

inline

Writes the boundary spline object into a torch::serialize::OutputArchive object.

Parameters

archive	Serialization archive.
key	Serialization key.

Returns: Result of the operation.

◆ write_()

template<typename BoundaryCore >

template<size_t... Is>

torch::serialize::OutputArchive & iganet::BoundaryCommon< BoundaryCore >::write_	(	std::index_sequence< Is... >	,
		torch::serialize::OutputArchive &	archive,
		const std::string &	key = `"boundary"`
	)		const

inlineprivate

Writes the boundary spline object into a torch::serialize::OutputArchive object.

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

include/iganet/splines/boundary.hpp

Public Member Functions

Private Member Functions

Detailed Description

Member Function Documentation

◆ as_tensor()

◆ as_tensor_()

◆ as_tensor_size()

◆ as_tensor_size_()

◆ clone()

◆ device()

◆ device_index()

◆ dtype()

◆ eval() [1/3]

◆ eval() [2/3]

◆ eval() [3/3]

◆ eval_() [1/3]

◆ eval_() [2/3]

◆ eval_() [3/3]

◆ eval_basfunc() [1/2]

◆ eval_basfunc() [2/2]

◆ eval_basfunc_() [1/2]

◆ eval_basfunc_() [2/2]

◆ eval_from_precomputed() [1/2]

◆ eval_from_precomputed() [2/2]

◆ eval_from_precomputed_() [1/2]

◆ eval_from_precomputed_() [2/2]

◆ find_coeff_indices()

◆ find_coeff_indices_()

◆ find_knot_indices()

◆ find_knot_indices_()

◆ from_tensor()

◆ from_tensor_()

◆ from_xml() [1/2]

◆ from_xml() [2/2]

◆ is_nonuniform()

◆ is_sparse()

◆ is_uniform()

◆ isclose()

◆ isclose_()

◆ isequal_()

◆ layout()

◆ load()

◆ operator!=()

◆ operator==()

◆ pinned_memory()

◆ read()

◆ read_()

◆ requires_grad()

◆ save()

◆ set_requires_grad()

◆ to() [1/3]

◆ to() [2/3]

◆ to() [3/3]

◆ to_xml() [1/2]

◆ to_xml() [2/2]

◆ uniform_refine()

◆ uniform_refine_()

◆ write()

◆ write_()