Concrete definition of a variable. More...

Detailed Description

template<typename T>
class neml2::Variable< T >

Concrete definition of a variable.

#include <Variable.h>

Inheritance diagram for Variable< T >:

Public Member Functions
template<typename T2 = T, typename = typename std::enable_if_t<!std::is_same_v<Tensor, T2>>>
	Variable (VariableName name_in, Model *owner, TensorShapeRef list_shape)

template<typename T2 = T, typename = typename std::enable_if_t<std::is_same_v<Tensor, T2>>>
	Variable (VariableName name_in, Model *owner, TensorShapeRef list_shape, TensorShapeRef base_shape)

TensorType	type () const override
	Variable tensor type.

TensorShapeRef	base_sizes () const override
	Return the base shape.

std::unique_ptr< VariableBase >	clone (const VariableName &name={}, Model *owner=nullptr) const override
	Clone this variable.

void	ref (const VariableBase &var, bool ref_is_mutable=false) override
	Reference another variable.

const VariableBase *	ref () const override
	Get the referencing variable (returns this if this is a storing variable)

bool	owning () const override
	Check if this is an owning variable.

void	zero (const torch::TensorOptions &options) override
	Set the variable value to zero.

void	set (const Tensor &val) override
	Set the variable value.

Tensor	get () const override
	Get the variable value (with flattened base dimensions, i.e., for assembly purposes)

Tensor	tensor () const override
	Get the variable value.

void	requires_grad_ (bool req=true) override
	Mark this variable as a leaf variable in tracing function graph for AD.

void	operator= (const Tensor &val) override
	Assignment operator.

const T &	value () const
	Variable value.

T	operator- () const
	Negation.

	operator T () const
	Convert to the underlying tensor type.

template<typename T2 = T, typename = typename std::enable_if_t<!std::is_same_v<T2, Tensor>>>
	operator Tensor () const
	Convert to Tensor.

void	clear () override
	Clear the variable value and derivatives.

Public Member Functions inherited from VariableBase
	VariableBase ()=default

	VariableBase (const VariableBase &)=delete

	VariableBase (VariableBase &&)=delete

VariableBase &	operator= (const VariableBase &)=delete

VariableBase &	operator= (VariableBase &&)=delete

virtual	~VariableBase ()=default

	VariableBase (VariableName name_in, Model *owner, TensorShapeRef list_shape)

const VariableName &	name () const
	Name of this variable.

bool	requires_grad () const
	Check if this variable is part of the AD function graph.

Derivative	d (const VariableBase &var)
	Wrapper for assigning partial derivative.

Derivative	d (const VariableBase &var1, const VariableBase &var2)
	Wrapper for assigning second partial derivative.

const ValueMap &	derivatives () const
	Partial derivatives.

ValueMap &	derivatives ()

const DerivMap &	second_derivatives () const
	Partial second derivatives.

DerivMap &	second_derivatives ()

void	apply_chain_rule (const DependencyResolver< Model, VariableName > &)
	Apply first order chain rule.

void	apply_second_order_chain_rule (const DependencyResolver< Model, VariableName > &)
	Apply second order chain rule.

const Model &	owner () const

Model &	owner ()

bool	is_state () const

bool	is_old_state () const

bool	is_force () const

bool	is_old_force () const

bool	is_residual () const

bool	is_parameter () const

bool	is_solve_dependent () const

bool	is_dependent () const
	Check if the derivative with respect to this variable should be evaluated.

torch::TensorOptions	options () const

torch::Dtype	scalar_type () const
	Scalar type.

torch::Device	device () const
	Device.

Size	dim () const
	Number of tensor dimensions.

TensorShapeRef	sizes () const
	Tensor shape.

Size	size (Size dim) const
	Size of a dimension.

bool	batched () const
	Whether the tensor is batched.

Size	batch_dim () const
	Return the number of batch dimensions.

Size	list_dim () const
	Return the number of list dimensions.

Size	base_dim () const
	Return the number of base dimensions.

TraceableTensorShape	batch_sizes () const
	Return the batch shape.

TensorShapeRef	list_sizes () const
	Return the list shape.

TraceableSize	batch_size (Size dim) const
	Return the size of a batch axis.

Size	base_size (Size dim) const
	Return the size of a base axis.

Size	list_size (Size dim) const
	Return the size of a list axis.

Size	base_storage () const
	Base storage of the variable.

Size	assembly_storage () const
	Assembly storage of the variable.

void	request_AD (const VariableBase &u)

void	request_AD (const std::vector< const VariableBase * > &us)

void	request_AD (const VariableBase &u1, const VariableBase &u2)

void	request_AD (const std::vector< const VariableBase * > &u1s, const std::vector< const VariableBase * > &u2s)

Protected Attributes
const TensorShape	_base_sizes
	Base shape of the variable.

const Variable< T > *	_ref
	The variable referenced by this (nullptr if this is a storing variable)

bool	_ref_is_mutable
	Whether mutating the referenced variable is allowed.

T	_value
	Variable value (undefined if this is a referencing variable)

Additional Inherited Members
Public Attributes inherited from VariableBase
const VariableName	_name = {}
	Name of the variable.

Model *const	_owner = nullptr
	The model which declared this variable.

Constructor & Destructor Documentation

◆ Variable() [1/2]

template<typename T >

template<typename T2 = T, typename = typename std::enable_if_t<!std::is_same_v<Tensor, T2>>>

Variable	(	VariableName	name_in,
		Model *	owner,
		TensorShapeRef	list_shape )

inline

◆ Variable() [2/2]

template<typename T >

template<typename T2 = T, typename = typename std::enable_if_t<std::is_same_v<Tensor, T2>>>

Variable	(	VariableName	name_in,
		Model *	owner,
		TensorShapeRef	list_shape,
		TensorShapeRef	base_shape )

inline

Member Function Documentation

◆ base_sizes()

template<typename T >

TensorShapeRef base_sizes ( ) const

inlineoverridevirtual

Return the base shape.

Implements VariableBase.

◆ clear()

template<typename T >

void clear ( )

overridevirtual

Clear the variable value and derivatives.

Reimplemented from VariableBase.

◆ clone()

template<typename T >

std::unique_ptr< VariableBase > clone	(	const VariableName &	name = {},
		Model *	owner = nullptr ) const

overridevirtual

Clone this variable.

Implements VariableBase.

◆ get()

template<typename T >

Tensor get ( ) const

inlineoverridevirtual

Get the variable value (with flattened base dimensions, i.e., for assembly purposes)

Implements VariableBase.

◆ operator T()

template<typename T >

operator T ( ) const

inline

Convert to the underlying tensor type.

◆ operator Tensor()

template<typename T >

template<typename T2 = T, typename = typename std::enable_if_t<!std::is_same_v<T2, Tensor>>>

operator Tensor ( ) const

inline

Convert to Tensor.

◆ operator-()

template<typename T >

T operator- ( ) const

inline

Negation.

◆ operator=()

template<typename T >

void operator= ( const Tensor & val )

overridevirtual

Assignment operator.

Implements VariableBase.

◆ owning()

template<typename T >

bool owning ( ) const

inlineoverridevirtual

Check if this is an owning variable.

Implements VariableBase.

◆ ref() [1/2]

template<typename T >

const VariableBase * ref ( ) const

inlineoverridevirtual

Get the referencing variable (returns this if this is a storing variable)

Implements VariableBase.

◆ ref() [2/2]

template<typename T >

void ref	(	const VariableBase &	other,
		bool	ref_is_mutable = false )

overridevirtual

Reference another variable.

Implements VariableBase.

◆ requires_grad_()

template<typename T >

void requires_grad_ ( bool req = true )

overridevirtual

Mark this variable as a leaf variable in tracing function graph for AD.

Implements VariableBase.

◆ set()

template<typename T >

void set ( const Tensor & val )

overridevirtual

Set the variable value.

Implements VariableBase.

◆ tensor()

template<typename T >

Tensor tensor ( ) const

overridevirtual

Get the variable value.

Implements VariableBase.

◆ type()

template<typename T >

TensorType type ( ) const

overridevirtual

Variable tensor type.

Implements VariableBase.

◆ value()

template<typename T >

const T & value ( ) const

inline

Variable value.

◆ zero()

template<typename T >

void zero ( const torch::TensorOptions & options )

overridevirtual

Set the variable value to zero.

Implements VariableBase.

Member Data Documentation

◆ _base_sizes

template<typename T >

const TensorShape _base_sizes

protected

Base shape of the variable.

◆ _ref

template<typename T >

const Variable<T>* _ref

protected

The variable referenced by this (nullptr if this is a storing variable)

◆ _ref_is_mutable

template<typename T >

bool _ref_is_mutable

protected

Whether mutating the referenced variable is allowed.

◆ _value

template<typename T >

T _value

protected

Variable value (undefined if this is a referencing variable)

Detailed Description

Public Member Functions

Protected Attributes

Additional Inherited Members

Constructor & Destructor Documentation

◆ Variable() [1/2]

◆ Variable() [2/2]

Member Function Documentation

◆ base_sizes()

◆ clear()

◆ clone()

◆ get()

◆ operator T()

◆ operator Tensor()

◆ operator-()

◆ operator=()

◆ owning()

◆ ref() [1/2]

◆ ref() [2/2]

◆ requires_grad_()

◆ set()

◆ tensor()

◆ type()

◆ value()

◆ zero()

Member Data Documentation

◆ _base_sizes

◆ _ref

◆ _ref_is_mutable

◆ _value