Inheritance diagram for iCub::optimization::ff2LayNNTrainNLP:

Public Member Functions
	ff2LayNNTrainNLP (ff2LayNNTrain &_net, const Property &_bounds, const bool _randomInit, const deque< Vector > &_in, const deque< Vector > &_out, deque< Vector > &_pred)

virtual double	get_error () const

bool	get_nlp_info (Ipopt::Index &n, Ipopt::Index &m, Ipopt::Index &nnz_jac_g, Ipopt::Index &nnz_h_lag, IndexStyleEnum &index_style)

bool	get_bounds_info (Ipopt::Index n, Ipopt::Number x_l, Ipopt::Number x_u, Ipopt::Index m, Ipopt::Number g_l, Ipopt::Number g_u)

bool	get_starting_point (Ipopt::Index n, bool init_x, Ipopt::Number x, bool init_z, Ipopt::Number z_L, Ipopt::Number z_U, Ipopt::Index m, bool init_lambda, Ipopt::Number lambda)

bool	eval_f (Ipopt::Index n, const Ipopt::Number *x, bool new_x, Ipopt::Number &obj_value)

bool	eval_grad_f (Ipopt::Index n, const Ipopt::Number x, bool new_x, Ipopt::Number grad_f)

bool	eval_g (Ipopt::Index n, const Ipopt::Number x, bool new_x, Ipopt::Index m, Ipopt::Number g)

bool	eval_jac_g (Ipopt::Index n, const Ipopt::Number x, bool new_x, Ipopt::Index m, Ipopt::Index nele_jac, Ipopt::Index iRow, Ipopt::Index jCol, Ipopt::Number values)

bool	eval_h (Ipopt::Index n, const Ipopt::Number x, bool new_x, Ipopt::Number obj_factor, Ipopt::Index m, const Ipopt::Number lambda, bool new_lambda, Ipopt::Index nele_hess, Ipopt::Index iRow, Ipopt::Index jCol, Ipopt::Number *values)

void	finalize_solution (Ipopt::SolverReturn status, Ipopt::Index n, const Ipopt::Number x, const Ipopt::Number z_L, const Ipopt::Number z_U, Ipopt::Index m, const Ipopt::Number g, const Ipopt::Number lambda, Ipopt::Number obj_value, const Ipopt::IpoptData ip_data, Ipopt::IpoptCalculatedQuantities *ip_cq)

Protected Member Functions
bool	getBounds (const string &tag, double &min, double &max)

void	fillNet (const Ipopt::Number *x)

void	fillVar (Ipopt::Number x, const Ipopt::Number x_l, const Ipopt::Number *x_u)

Protected Attributes
Property	bounds

bool	randomInit

ff2LayNNTrain &	net

deque< Vector > &	IW

deque< Vector > &	LW

Vector &	b1

Vector &	b2

const deque< Vector > &	in

const deque< Vector > &	out

deque< Vector > &	pred

double	error

Detailed Description

Definition at line 46 of file neuralNetworks.cpp.

Constructor & Destructor Documentation

◆ ff2LayNNTrainNLP()

iCub::optimization::ff2LayNNTrainNLP::ff2LayNNTrainNLP	(	ff2LayNNTrain &	_net,
		const Property &	_bounds,
		const bool	_randomInit,
		const deque< Vector > &	_in,
		const deque< Vector > &	_out,
		deque< Vector > &	_pred
	)

inline

Definition at line 120 of file neuralNetworks.cpp.

Member Function Documentation

◆ eval_f()

bool iCub::optimization::ff2LayNNTrainNLP::eval_f	(	Ipopt::Index	n,
		const Ipopt::Number *	x,
		bool	new_x,
		Ipopt::Number &	obj_value
	)

inline

Definition at line 221 of file neuralNetworks.cpp.

◆ eval_g()

bool iCub::optimization::ff2LayNNTrainNLP::eval_g	(	Ipopt::Index	n,
		const Ipopt::Number *	x,
		bool	new_x,
		Ipopt::Index	m,
		Ipopt::Number *	g
	)

inline

Definition at line 245 of file neuralNetworks.cpp.

◆ eval_grad_f()

bool iCub::optimization::ff2LayNNTrainNLP::eval_grad_f	(	Ipopt::Index	n,
		const Ipopt::Number *	x,
		bool	new_x,
		Ipopt::Number *	grad_f
	)

inline

Definition at line 238 of file neuralNetworks.cpp.

◆ eval_h()

bool iCub::optimization::ff2LayNNTrainNLP::eval_h	(	Ipopt::Index	n,
		const Ipopt::Number *	x,
		bool	new_x,
		Ipopt::Number	obj_factor,
		Ipopt::Index	m,
		const Ipopt::Number *	lambda,
		bool	new_lambda,
		Ipopt::Index	nele_hess,
		Ipopt::Index *	iRow,
		Ipopt::Index *	jCol,
		Ipopt::Number *	values
	)

inline

Definition at line 260 of file neuralNetworks.cpp.

◆ eval_jac_g()

bool iCub::optimization::ff2LayNNTrainNLP::eval_jac_g	(	Ipopt::Index	n,
		const Ipopt::Number *	x,
		bool	new_x,
		Ipopt::Index	m,
		Ipopt::Index	nele_jac,
		Ipopt::Index *	iRow,
		Ipopt::Index *	jCol,
		Ipopt::Number *	values
	)

inline

Definition at line 252 of file neuralNetworks.cpp.

◆ fillNet()

void iCub::optimization::ff2LayNNTrainNLP::fillNet ( const Ipopt::Number * x )

inlineprotected

Definition at line 81 of file neuralNetworks.cpp.

◆ fillVar()

void iCub::optimization::ff2LayNNTrainNLP::fillVar	(	Ipopt::Number *	x,
		const Ipopt::Number *	x_l,
		const Ipopt::Number *	x_u
	)

inlineprotected

Definition at line 100 of file neuralNetworks.cpp.

◆ finalize_solution()

void iCub::optimization::ff2LayNNTrainNLP::finalize_solution	(	Ipopt::SolverReturn	status,
		Ipopt::Index	n,
		const Ipopt::Number *	x,
		const Ipopt::Number *	z_L,
		const Ipopt::Number *	z_U,
		Ipopt::Index	m,
		const Ipopt::Number *	g,
		const Ipopt::Number *	lambda,
		Ipopt::Number	obj_value,
		const Ipopt::IpoptData *	ip_data,
		Ipopt::IpoptCalculatedQuantities *	ip_cq
	)

inline

Definition at line 269 of file neuralNetworks.cpp.

◆ get_bounds_info()

bool iCub::optimization::ff2LayNNTrainNLP::get_bounds_info	(	Ipopt::Index	n,
		Ipopt::Number *	x_l,
		Ipopt::Number *	x_u,
		Ipopt::Index	m,
		Ipopt::Number *	g_l,
		Ipopt::Number *	g_u
	)

inline

Definition at line 150 of file neuralNetworks.cpp.

◆ get_error()

virtual double iCub::optimization::ff2LayNNTrainNLP::get_error ( ) const

inlinevirtual

Definition at line 133 of file neuralNetworks.cpp.

◆ get_nlp_info()

bool iCub::optimization::ff2LayNNTrainNLP::get_nlp_info	(	Ipopt::Index &	n,
		Ipopt::Index &	m,
		Ipopt::Index &	nnz_jac_g,
		Ipopt::Index &	nnz_h_lag,
		IndexStyleEnum &	index_style
	)

inline

Definition at line 139 of file neuralNetworks.cpp.

◆ get_starting_point()

bool iCub::optimization::ff2LayNNTrainNLP::get_starting_point	(	Ipopt::Index	n,
		bool	init_x,
		Ipopt::Number *	x,
		bool	init_z,
		Ipopt::Number *	z_L,
		Ipopt::Number *	z_U,
		Ipopt::Index	m,
		bool	init_lambda,
		Ipopt::Number *	lambda
	)

inline

Definition at line 193 of file neuralNetworks.cpp.

◆ getBounds()

bool iCub::optimization::ff2LayNNTrainNLP::getBounds	(	const string &	tag,
		double &	min,
		double &	max
	)

inlineprotected

Definition at line 64 of file neuralNetworks.cpp.

Member Data Documentation

◆ b1

Vector& iCub::optimization::ff2LayNNTrainNLP::b1

protected

Definition at line 55 of file neuralNetworks.cpp.

◆ b2

Vector& iCub::optimization::ff2LayNNTrainNLP::b2

protected

Definition at line 56 of file neuralNetworks.cpp.

◆ bounds

Property iCub::optimization::ff2LayNNTrainNLP::bounds

protected

Definition at line 49 of file neuralNetworks.cpp.

◆ error

double iCub::optimization::ff2LayNNTrainNLP::error

protected

Definition at line 61 of file neuralNetworks.cpp.

◆ in

const deque<Vector>& iCub::optimization::ff2LayNNTrainNLP::in

protected

Definition at line 58 of file neuralNetworks.cpp.

◆ IW

deque<Vector>& iCub::optimization::ff2LayNNTrainNLP::IW

protected

Definition at line 53 of file neuralNetworks.cpp.

◆ LW

deque<Vector>& iCub::optimization::ff2LayNNTrainNLP::LW

protected

Definition at line 54 of file neuralNetworks.cpp.

◆ net

ff2LayNNTrain& iCub::optimization::ff2LayNNTrainNLP::net

protected

Definition at line 52 of file neuralNetworks.cpp.

◆ out

const deque<Vector>& iCub::optimization::ff2LayNNTrainNLP::out

protected

Definition at line 59 of file neuralNetworks.cpp.

◆ pred

deque<Vector>& iCub::optimization::ff2LayNNTrainNLP::pred

protected

Definition at line 60 of file neuralNetworks.cpp.

◆ randomInit

bool iCub::optimization::ff2LayNNTrainNLP::randomInit

protected

Definition at line 50 of file neuralNetworks.cpp.

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

icub-main/src/libraries/optimization/src/neuralNetworks.cpp

Public Member Functions

Protected Member Functions

Protected Attributes

Detailed Description

Constructor & Destructor Documentation

◆ ff2LayNNTrainNLP()

Member Function Documentation

◆ eval_f()

◆ eval_g()

◆ eval_grad_f()

◆ eval_h()

◆ eval_jac_g()

◆ fillNet()

◆ fillVar()

◆ finalize_solution()

◆ get_bounds_info()

◆ get_error()

◆ get_nlp_info()

◆ get_starting_point()

◆ getBounds()

Member Data Documentation

◆ b1

◆ b2

◆ bounds

◆ error

◆ in

◆ IW

◆ LW

◆ net

◆ out

◆ pred

◆ randomInit