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

#include <DivVariable.h>

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List of all members.

Public Member Functions

 DivVariable ()
 Default constructor.
 DivVariable (Variable *input1, Variable *input2, bool call_build_=true)
 Convenience constructor.
virtual string classname () const
virtual OptionListgetOptionList () const
virtual OptionMapgetOptionMap () const
virtual RemoteMethodMapgetRemoteMethodMap () const
virtual DivVariabledeepCopy (CopiesMap &copies) const
virtual void build ()
 Post-constructor.
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 void symbolicBprop ()
 compute a piece of new Var graph that represents the symbolic derivative of this Var
virtual void rfprop ()

Static Public Member Functions

static string _classname_ ()
 DivVariable.
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_

Private Types

typedef BinaryVariable inherited

Private Member Functions

void build_ ()
 This does the actual building.

Detailed Description

Definition at line 52 of file DivVariable.h.


Member Typedef Documentation

Reimplemented from PLearn::BinaryVariable.

Definition at line 54 of file DivVariable.h.


Constructor & Destructor Documentation

PLearn::DivVariable::DivVariable ( ) [inline]

Default constructor.

Definition at line 59 of file DivVariable.h.

{}
PLearn::DivVariable::DivVariable ( Variable input1,
Variable input2,
bool  call_build_ = true 
)

Convenience constructor.

Definition at line 62 of file DivVariable.cc.

References build_().

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

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Member Function Documentation

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

DivVariable.

Reimplemented from PLearn::BinaryVariable.

Definition at line 57 of file DivVariable.cc.

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

Reimplemented from PLearn::BinaryVariable.

Definition at line 57 of file DivVariable.cc.

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

Reimplemented from PLearn::BinaryVariable.

Definition at line 57 of file DivVariable.cc.

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

Reimplemented from PLearn::BinaryVariable.

Definition at line 57 of file DivVariable.cc.

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

Reimplemented from PLearn::Object.

Definition at line 57 of file DivVariable.cc.

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

Reimplemented from PLearn::BinaryVariable.

Definition at line 57 of file DivVariable.cc.

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

Implements PLearn::Variable.

Definition at line 107 of file DivVariable.cc.

References PLearn::Variable::gradientdata, PLearn::BinaryVariable::input1, PLearn::BinaryVariable::input2, and PLearn::Variable::nelems().

{
    for(int k=0; k<nelems(); k++)
    {
        real iv2k = 1.0/input2->valuedata[k];
        input1->gradientdata[k] += gradientdata[k] * iv2k;
        input2->gradientdata[k] -= gradientdata[k] * 
            input1->valuedata[k] * iv2k * iv2k;
    }
}

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void PLearn::DivVariable::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 84 of file DivVariable.cc.

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

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

This does the actual building.

Reimplemented from PLearn::BinaryVariable.

Definition at line 93 of file DivVariable.cc.

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

Referenced by build(), and DivVariable().

{
    if (input1 && input2)
        if(input1->length() != input2->length() || input1->width() != input2->width())
            PLERROR("In DivVariable: input1 and input2 must have exactly the same shape");
}

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

Reimplemented from PLearn::Object.

Definition at line 57 of file DivVariable.cc.

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

Reimplemented from PLearn::BinaryVariable.

Definition at line 64 of file DivVariable.h.

:

DivVariable * PLearn::DivVariable::deepCopy ( CopiesMap copies) const [virtual]

Reimplemented from PLearn::BinaryVariable.

Definition at line 57 of file DivVariable.cc.

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

compute output given input

Implements PLearn::Variable.

Definition at line 100 of file DivVariable.cc.

References PLearn::BinaryVariable::input1, PLearn::BinaryVariable::input2, PLearn::Variable::nelems(), and PLearn::Variable::valuedata.

{
    for(int k=0; k<nelems(); k++)
        valuedata[k] = input1->valuedata[k]/input2->valuedata[k];
}

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

Reimplemented from PLearn::Object.

Definition at line 57 of file DivVariable.cc.

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

Reimplemented from PLearn::Object.

Definition at line 57 of file DivVariable.cc.

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

Reimplemented from PLearn::Object.

Definition at line 57 of file DivVariable.cc.

void PLearn::DivVariable::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 72 of file DivVariable.cc.

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

{
    if (input1) {
        l = input1->length();
        w = input1->width();
    } else
        l = w = 0;
}

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

Reimplemented from PLearn::Variable.

Definition at line 127 of file DivVariable.cc.

References PLearn::BinaryVariable::input1, PLearn::BinaryVariable::input2, PLearn::TVec< T >::length(), PLearn::Variable::nelems(), PLearn::BinaryVariable::resizeRValue(), PLearn::Variable::rValue, and PLearn::Variable::rvaluedata.

{
    if (rValue.length()==0) resizeRValue();
  
    for(int k=0; k<nelems(); k++)
    {
        real iv2k = 1.0/input2->valuedata[k];
        rvaluedata[k] = input1->rvaluedata[k] * iv2k - input2->rvaluedata[k] * input1->valuedata[k] * iv2k * iv2k;
    }
}

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

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

Reimplemented from PLearn::Variable.

Definition at line 119 of file DivVariable.cc.

References PLearn::Variable::g, PLearn::BinaryVariable::input1, PLearn::BinaryVariable::input2, PLearn::invertElements(), and PLearn::square().

{
    Var iv2 = invertElements(input2);
    input1->accg(g * iv2);
    input2->accg(-g * input1 * square(iv2));
}

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Member Data Documentation

Reimplemented from PLearn::BinaryVariable.

Definition at line 64 of file DivVariable.h.


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