PLearn 0.1
Public Member Functions | Static Public Member Functions | Static Public Attributes | Static Protected Member Functions | Private Types | Private Member Functions
PLearn::LogSoftSoftMaxVariable Class Reference

Log of SoftSoftMaxVariable (see SoftSoftMaxVariable for more details) More...

#include <LogSoftSoftMaxVariable.h>

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List of all members.

Public Member Functions

 LogSoftSoftMaxVariable ()
 ### declare public option fields (such as build options) here Start your comments with Doxygen-compatible comments such as //!
 LogSoftSoftMaxVariable (Variable *input1, Variable *input2)
 Constructor initializing from two input variables.
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 fprop ()
 compute output given input
virtual void bprop ()
virtual string classname () const
virtual OptionListgetOptionList () const
virtual OptionMapgetOptionMap () const
virtual RemoteMethodMapgetRemoteMethodMap () const
virtual LogSoftSoftMaxVariabledeepCopy (CopiesMap &copies) const
virtual void build ()
 Post-constructor.
virtual void makeDeepCopyFromShallowCopy (CopiesMap &copies)
 Transforms a shallow copy into a deep copy.

Static Public Member Functions

static string _classname_ ()
 LogSoftSoftMaxVariable.
static OptionList_getOptionList_ ()
static RemoteMethodMap_getRemoteMethodMap_ ()
static Object_new_instance_for_typemap_ ()
static bool _isa_ (const Object *o)
static void _static_initialize_ ()
static const PPathdeclaringFile ()

Static Public Attributes

static StaticInitializer _static_initializer_

Static Protected Member Functions

static void declareOptions (OptionList &ol)
 Declares the class options.

Private Types

typedef BinaryVariable inherited

Private Member Functions

void build_ ()
 This does the actual building.

Detailed Description

Log of SoftSoftMaxVariable (see SoftSoftMaxVariable for more details)

* LogSoftSoftMaxVariable *

Todo:
Write class to-do's here if there are any.
Deprecated:
Write deprecated stuff here if there is any. Indicate what else should be used instead.

Definition at line 58 of file LogSoftSoftMaxVariable.h.


Member Typedef Documentation

Reimplemented from PLearn::BinaryVariable.

Definition at line 60 of file LogSoftSoftMaxVariable.h.


Constructor & Destructor Documentation

PLearn::LogSoftSoftMaxVariable::LogSoftSoftMaxVariable ( ) [inline]

### declare public option fields (such as build options) here Start your comments with Doxygen-compatible comments such as //!

Default constructor, usually does nothing

Definition at line 72 of file LogSoftSoftMaxVariable.h.

{}
PLearn::LogSoftSoftMaxVariable::LogSoftSoftMaxVariable ( Variable input1,
Variable input2 
)

Constructor initializing from two input variables.

Definition at line 55 of file LogSoftSoftMaxVariable.cc.

References build_().

    : inherited(input1, input2, input1->length(), input1->width())
{
    build_();
}

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Member Function Documentation

string PLearn::LogSoftSoftMaxVariable::_classname_ ( ) [static]

LogSoftSoftMaxVariable.

Reimplemented from PLearn::BinaryVariable.

Definition at line 51 of file LogSoftSoftMaxVariable.cc.

OptionList & PLearn::LogSoftSoftMaxVariable::_getOptionList_ ( ) [static]

Reimplemented from PLearn::BinaryVariable.

Definition at line 51 of file LogSoftSoftMaxVariable.cc.

RemoteMethodMap & PLearn::LogSoftSoftMaxVariable::_getRemoteMethodMap_ ( ) [static]

Reimplemented from PLearn::BinaryVariable.

Definition at line 51 of file LogSoftSoftMaxVariable.cc.

bool PLearn::LogSoftSoftMaxVariable::_isa_ ( const Object o) [static]

Reimplemented from PLearn::BinaryVariable.

Definition at line 51 of file LogSoftSoftMaxVariable.cc.

Object * PLearn::LogSoftSoftMaxVariable::_new_instance_for_typemap_ ( ) [static]

Reimplemented from PLearn::Object.

Definition at line 51 of file LogSoftSoftMaxVariable.cc.

StaticInitializer LogSoftSoftMaxVariable::_static_initializer_ & PLearn::LogSoftSoftMaxVariable::_static_initialize_ ( ) [static]

Reimplemented from PLearn::BinaryVariable.

Definition at line 51 of file LogSoftSoftMaxVariable.cc.

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

Implements PLearn::Variable.

Definition at line 90 of file LogSoftSoftMaxVariable.cc.

References PLearn::BinaryVariable::input1, PLearn::BinaryVariable::input2, j, PLearn::TMat< T >::length(), PLearn::Variable::matGradient, PLearn::Variable::matValue, n, PLearn::safeexp(), and PLearn::TMat< T >::width().

{
    Mat X = input1->matValue,
        A = input2->matValue,
        grad_X = input1->matGradient,
        grad_A = input2->matGradient;

    real temp;

    //chacun des exemples de X
    for (int n=0; n<X.length(); n++)
        //chaque coordonné dun exemple //correspond au gradient
        for (int k=0; k<X.width(); k++)
            //même exemple, coordonnée aussi // correspond à un exemple
            for (int j=0; j<X.width(); j++)
            {
                temp = matGradient(n,j)*safeexp(matValue(n,j) + X(n,k) + A(j,k) - X(n,j));

                if(k==j)
                    grad_X(n,k) += matGradient(n,j)*(1.-safeexp(matValue(n,k)));
                else
                    grad_X(n,k) -= temp;                    
                                                                                            
                grad_A(j,k) -= temp;
            }
}

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

Post-constructor.

The normal implementation 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::BinaryVariable.

Definition at line 124 of file LogSoftSoftMaxVariable.cc.

References PLearn::BinaryVariable::build(), and build_().

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void PLearn::LogSoftSoftMaxVariable::build_ ( ) [private]

This does the actual building.

Reimplemented from PLearn::BinaryVariable.

Definition at line 167 of file LogSoftSoftMaxVariable.cc.

References PLearn::BinaryVariable::input1, PLearn::BinaryVariable::input2, PLearn::Var::length(), PLERROR, and PLearn::Var::width().

Referenced by build(), and LogSoftSoftMaxVariable().

{
    // ### This method should do the real building of the object,
    // ### according to set 'options', in *any* situation.
    // ### Typical situations include:
    // ###  - Initial building of an object from a few user-specified options
    // ###  - Building of a "reloaded" object: i.e. from the complete set of
    // ###    all serialised options.
    // ###  - Updating or "re-building" of an object after a few "tuning"
    // ###    options have been modified.
    // ### You should assume that the parent class' build_() has already been
    // ### called.

    if (input2.length() != input1.width() || input2.width() != input1.width())
        PLERROR("Length and width of input2 must be equal to width of input1 in LogSoftSoftMaxVariable");
}

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string PLearn::LogSoftSoftMaxVariable::classname ( ) const [virtual]

Reimplemented from PLearn::Object.

Definition at line 51 of file LogSoftSoftMaxVariable.cc.

void PLearn::LogSoftSoftMaxVariable::declareOptions ( OptionList ol) [static, protected]

Declares the class options.

Reimplemented from PLearn::BinaryVariable.

Definition at line 147 of file LogSoftSoftMaxVariable.cc.

References PLearn::BinaryVariable::declareOptions().

{
    // ### Declare all of this object's options here.
    // ### For the "flags" of each option, you should typically specify
    // ### one of OptionBase::buildoption, OptionBase::learntoption or
    // ### OptionBase::tuningoption. If you don't provide one of these three,
    // ### this option will be ignored when loading values from a script.
    // ### You can also combine flags, for example with OptionBase::nosave:
    // ### (OptionBase::buildoption | OptionBase::nosave)

    // ### ex:
    // declareOption(ol, "myoption", &LogSoftSoftMaxVariable::myoption,
    //               OptionBase::buildoption,
    //               "Help text describing this option");
    // ...

    // Now call the parent class' declareOptions
    inherited::declareOptions(ol);
}

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static const PPath& PLearn::LogSoftSoftMaxVariable::declaringFile ( ) [inline, static]

Reimplemented from PLearn::BinaryVariable.

Definition at line 96 of file LogSoftSoftMaxVariable.h.

:
    //#####  Protected Options  ###############################################
LogSoftSoftMaxVariable * PLearn::LogSoftSoftMaxVariable::deepCopy ( CopiesMap copies) const [virtual]

Reimplemented from PLearn::BinaryVariable.

Definition at line 51 of file LogSoftSoftMaxVariable.cc.

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

compute output given input

Implements PLearn::Variable.

Definition at line 72 of file LogSoftSoftMaxVariable.cc.

References i, PLearn::BinaryVariable::input1, PLearn::BinaryVariable::input2, PLearn::TMat< T >::length(), PLearn::Variable::matValue, n, PLearn::safeexp(), PLearn::safelog(), PLearn::sum(), and PLearn::TMat< T >::width().

{
    Mat X = input1->matValue,
        A = input2->matValue;

    real sum;

    for (int n=0; n<X.length(); n++)    
        for (int k=0; k<X.width(); k++)
        {
            sum=0;
            for (int i=0; i<X.width(); i++)
                sum += safeexp(X(n,i) + A(k,i));
            matValue(n,k) = X(n,k) - safelog(sum);
        }    
}

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OptionList & PLearn::LogSoftSoftMaxVariable::getOptionList ( ) const [virtual]

Reimplemented from PLearn::Object.

Definition at line 51 of file LogSoftSoftMaxVariable.cc.

OptionMap & PLearn::LogSoftSoftMaxVariable::getOptionMap ( ) const [virtual]

Reimplemented from PLearn::Object.

Definition at line 51 of file LogSoftSoftMaxVariable.cc.

RemoteMethodMap & PLearn::LogSoftSoftMaxVariable::getRemoteMethodMap ( ) const [virtual]

Reimplemented from PLearn::Object.

Definition at line 51 of file LogSoftSoftMaxVariable.cc.

void PLearn::LogSoftSoftMaxVariable::makeDeepCopyFromShallowCopy ( CopiesMap copies) [virtual]

Transforms a shallow copy into a deep copy.

Reimplemented from PLearn::BinaryVariable.

Definition at line 130 of file LogSoftSoftMaxVariable.cc.

References PLearn::BinaryVariable::makeDeepCopyFromShallowCopy(), and PLERROR.

{
    inherited::makeDeepCopyFromShallowCopy(copies);

    // ### Call deepCopyField on all "pointer-like" fields
    // ### that you wish to be deepCopied rather than
    // ### shallow-copied.
    // ### ex:
    // deepCopyField(trainvec, copies);

    // ### If you want to deepCopy a Var field:
    // varDeepCopyField(somevariable, copies);

    // ### Remove this line when you have fully implemented this method.
    PLERROR("LogSoftSoftMaxVariable::makeDeepCopyFromShallowCopy not fully (correctly) implemented yet!");
}

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void PLearn::LogSoftSoftMaxVariable::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 62 of file LogSoftSoftMaxVariable.cc.

References PLearn::BinaryVariable::input1, PLearn::Var::length(), and PLearn::Var::width().

{
        if (input1) {
            l = input1->length(); // the computed length of this Var
            w = input1->width(); // the computed width
        } else
            l = w = 0;
}

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Member Data Documentation

Reimplemented from PLearn::BinaryVariable.

Definition at line 96 of file LogSoftSoftMaxVariable.h.


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