PLearn::MatrixSumOfVariable Class Reference

#include <MatrixSumOfVariable.h>

Inheritance diagram for PLearn::MatrixSumOfVariable:

[legend]Collaboration diagram for PLearn::MatrixSumOfVariable:

[legend]List of all members.


Public Member Functions
	MatrixSumOfVariable ()
	protected default constructor for persistence
	MatrixSumOfVariable (VMat the_distr, Func the_f, int the_nsamples=-1, int the_input_size=-1)
	Sum_{inputs distr} f(inputs).
	PLEARN_DECLARE_OBJECT (MatrixSumOfVariable)
virtual void	build ()
	Should call simply inherited::build(), then this class's build_().
virtual void	recomputeSize (int &l, int &w) const
	Recomputes the length l and width w that this variable should have, according to its parent variables.
virtual void	makeDeepCopyFromShallowCopy (map< const void , void > &copies)
virtual void	fprop ()
	compute output given input
virtual void	bprop ()
virtual void	fbprop ()
	do both fprop and bprop
virtual void	symbolicBprop ()
	compute a piece of new Var graph that represents the symbolic derivative of this Var
virtual void	rfprop ()
void	printInfo (bool print_gradient)
Static Public Member Functions
void	declareOptions (OptionList &ol)
	redefine this in subclasses: call declareOption(...) for each option, and then call inherited::declareOptions(options) ( see the declareOption function further down)
Public Attributes
VMat	distr
Func	f
int	nsamples
int	input_size
int	curpos
	current pos in VMat
Vec	input_value
Vec	input_gradient
Vec	output_value
Protected Member Functions
void	build_ ()
Private Types
typedef NaryVariable	inherited

Member Typedef Documentation

typedef NaryVariable PLearn::MatrixSumOfVariable::inherited [private]

Reimplemented from PLearn::NaryVariable.
Definition at line 54 of file MatrixSumOfVariable.h.
Referenced by MatrixSumOfVariable().

Constructor & Destructor Documentation

PLearn::MatrixSumOfVariable::MatrixSumOfVariable ( ) [inline]

protected default constructor for persistence

Definition at line 70 of file MatrixSumOfVariable.h.
References curpos, distr, f, input_size, and nsamples.

PLearn::MatrixSumOfVariable::MatrixSumOfVariable ( VMat the_distr,

Func the_f,

int the_nsamples = -1,

int the_input_size = -1

)

Sum_{inputs distr} f(inputs).

Definition at line 55 of file MatrixSumOfVariable.cc.
References build_(), inherited, and PLearn::nonInputParentsOfPath().

Member Function Documentation

void PLearn::MatrixSumOfVariable::bprop ( ) [virtual]

Implements PLearn::Variable.
Definition at line 137 of file MatrixSumOfVariable.cc.
References fbprop().

void PLearn::MatrixSumOfVariable::build ( ) [virtual]

Should call simply inherited::build(), then this class's build_().
This method should be callable again at later times, after modifying some option fields to change the "architecture" of the object.
Reimplemented from PLearn::Variable.
Definition at line 64 of file MatrixSumOfVariable.cc.
References build_().

void PLearn::MatrixSumOfVariable::build_ ( ) [protected]

This method should be redefined in subclasses and do the actual building of the object according to previously set option fields. Constructors can just set option fields, and then call build_. This method is NOT virtual, and will typically be called only from three places: a constructor, the public virtual build() method, and possibly the public virtual read method (which calls its parent's read). build_() can assume that it's parent's build_ has already been called.
Reimplemented from PLearn::Variable.
Definition at line 71 of file MatrixSumOfVariable.cc.
References curpos, distr, f, input_gradient, input_value, PLearn::VMat::length(), nsamples, output_value, PLERROR, PLearn::TVec< T >::resize(), and PLearn::VMat::width().
Referenced by build(), and MatrixSumOfVariable().

void PLearn::MatrixSumOfVariable::declareOptions ( OptionList & ol ) [static]

redefine this in subclasses: call declareOption(...) for each option, and then call inherited::declareOptions(options) ( see the declareOption function further down)
ex: static void declareOptions(OptionList& ol) { declareOption(ol, "inputsize", &MyObject::inputsize_, OptionBase::buildoption, "the size of the input\n it must be provided"); declareOption(ol, "weights", &MyObject::weights, OptionBase::learntoption, "the learnt model weights"); inherited::declareOptions(ol); }
Reimplemented from PLearn::NaryVariable.
Definition at line 89 of file MatrixSumOfVariable.cc.
References PLearn::declareOption(), and PLearn::OptionList.

void PLearn::MatrixSumOfVariable::fbprop ( ) [virtual]

do both fprop and bprop

Reimplemented from PLearn::Variable.
Definition at line 141 of file MatrixSumOfVariable.cc.
References curpos, distr, f, input_gradient, input_size, input_value, PLearn::VMat::length(), nsamples, and PLearn::VMat::width().
Referenced by bprop().

void PLearn::MatrixSumOfVariable::fprop ( ) [virtual]

compute output given input

Implements PLearn::Variable.
Definition at line 116 of file MatrixSumOfVariable.cc.
References curpos, distr, f, input_size, input_value, PLearn::VMat::length(), nsamples, and PLearn::VMat::width().

void PLearn::MatrixSumOfVariable::makeDeepCopyFromShallowCopy ( map< const void *, void * > & copies ) [virtual]

Reimplemented from PLearn::NaryVariable.
Definition at line 108 of file MatrixSumOfVariable.cc.
References PLearn::deepCopyField(), distr, and f.

PLearn::MatrixSumOfVariable::PLEARN_DECLARE_OBJECT ( MatrixSumOfVariable )

void PLearn::MatrixSumOfVariable::printInfo ( bool print_gradient ) [virtual]

Reimplemented from PLearn::NaryVariable.
Definition at line 174 of file MatrixSumOfVariable.cc.
References PLearn::TVec< T >::clear(), curpos, distr, PLearn::endl(), f, PLearn::Variable::getName(), PLearn::Object::info(), input_gradient, input_value, PLearn::VMat::length(), PLearn::Variable::nelems(), nsamples, output_value, PLERROR, and PLearn::VMat::width().

void PLearn::MatrixSumOfVariable::recomputeSize ( int & l,

int & w

) const [virtual]

Recomputes the length l and width w that this variable should have, according to its parent variables.
This is used for ex. by sizeprop() The default version stupidly returns the current dimensions, so make sure to overload it in subclasses if this is not appropriate.
Reimplemented from PLearn::Variable.
Definition at line 98 of file MatrixSumOfVariable.cc.
References f.

void PLearn::MatrixSumOfVariable::rfprop ( ) [virtual]

Reimplemented from PLearn::Variable.
Definition at line 168 of file MatrixSumOfVariable.cc.
References PLERROR.

void PLearn::MatrixSumOfVariable::symbolicBprop ( ) [virtual]

compute a piece of new Var graph that represents the symbolic derivative of this Var

Reimplemented from PLearn::Variable.
Definition at line 162 of file MatrixSumOfVariable.cc.
References PLERROR.