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

#include <MinusScalarVariable.h>

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List of all members.

Public Member Functions

 MinusScalarVariable ()
 Default constructor for persistence.
 MinusScalarVariable (Variable *input1, Variable *input2)
virtual string classname () const
virtual OptionListgetOptionList () const
virtual OptionMapgetOptionMap () const
virtual RemoteMethodMapgetRemoteMethodMap () const
virtual MinusScalarVariabledeepCopy (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 bbprop ()
 compute an approximation to diag(d^2/dinput^2) given diag(d^2/doutput^2), with diag(d^2/dinput^2) ~=~ (doutput/dinput)' diag(d^2/doutput^2) (doutput/dinput) In particular: if 'C' depends on 'y' and 'y' depends on x ...
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_ ()
 MinusScalarVariable.
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_

Protected Member Functions

void build_ ()
 This does the actual building.

Private Types

typedef BinaryVariable inherited

Detailed Description

* Minus... *

Definition at line 54 of file MinusScalarVariable.h.


Member Typedef Documentation

Reimplemented from PLearn::BinaryVariable.

Definition at line 56 of file MinusScalarVariable.h.


Constructor & Destructor Documentation

PLearn::MinusScalarVariable::MinusScalarVariable ( ) [inline]

Default constructor for persistence.

Definition at line 60 of file MinusScalarVariable.h.

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

Definition at line 58 of file MinusScalarVariable.cc.

References build_().

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

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Member Function Documentation

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

MinusScalarVariable.

Reimplemented from PLearn::BinaryVariable.

Definition at line 56 of file MinusScalarVariable.cc.

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

Reimplemented from PLearn::BinaryVariable.

Definition at line 56 of file MinusScalarVariable.cc.

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

Reimplemented from PLearn::BinaryVariable.

Definition at line 56 of file MinusScalarVariable.cc.

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

Reimplemented from PLearn::BinaryVariable.

Definition at line 56 of file MinusScalarVariable.cc.

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

Reimplemented from PLearn::Object.

Definition at line 56 of file MinusScalarVariable.cc.

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

Reimplemented from PLearn::BinaryVariable.

Definition at line 56 of file MinusScalarVariable.cc.

void PLearn::MinusScalarVariable::bbprop ( ) [virtual]

compute an approximation to diag(d^2/dinput^2) given diag(d^2/doutput^2), with diag(d^2/dinput^2) ~=~ (doutput/dinput)' diag(d^2/doutput^2) (doutput/dinput) In particular: if 'C' depends on 'y' and 'y' depends on x ...

d^2C/dx^2 = d^2C/dy^2 * (dy/dx)^2 + dC/dy * d^2y/dx^2 (diaghessian) (gradient)

Reimplemented from PLearn::Variable.

Definition at line 105 of file MinusScalarVariable.cc.

References PLearn::Variable::diaghessiandata, PLearn::BinaryVariable::input1, PLearn::BinaryVariable::input2, PLearn::Var::length(), and PLearn::Variable::nelems().

{
    if (input1->diaghessian.length()==0)
        input1->resizeDiagHessian();
    if (input2->diaghessian.length()==0)
        input2->resizeDiagHessian();
    for(int k=0; k<nelems(); k++)
    {
        input1->diaghessiandata[k] += diaghessiandata[k];
        input2->diaghessiandata[0] -= diaghessiandata[k];
    }
}

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

Implements PLearn::Variable.

Definition at line 95 of file MinusScalarVariable.cc.

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

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

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void PLearn::MinusScalarVariable::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 65 of file MinusScalarVariable.cc.

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

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

This does the actual building.

Reimplemented from PLearn::BinaryVariable.

Definition at line 72 of file MinusScalarVariable.cc.

References PLearn::BinaryVariable::input2, and PLERROR.

Referenced by build(), and MinusScalarVariable().

{
    if(input2 && !input2->isScalar())
        PLERROR("IN MinusScalarVariable: input2 is not a scalar");
}

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

Reimplemented from PLearn::Object.

Definition at line 56 of file MinusScalarVariable.cc.

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

Reimplemented from PLearn::BinaryVariable.

Definition at line 63 of file MinusScalarVariable.h.

:
    void build_();
MinusScalarVariable * PLearn::MinusScalarVariable::deepCopy ( CopiesMap copies) const [virtual]

Reimplemented from PLearn::BinaryVariable.

Definition at line 56 of file MinusScalarVariable.cc.

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

compute output given input

Implements PLearn::Variable.

Definition at line 87 of file MinusScalarVariable.cc.

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

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

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

Reimplemented from PLearn::Object.

Definition at line 56 of file MinusScalarVariable.cc.

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

Reimplemented from PLearn::Object.

Definition at line 56 of file MinusScalarVariable.cc.

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

Reimplemented from PLearn::Object.

Definition at line 56 of file MinusScalarVariable.cc.

void PLearn::MinusScalarVariable::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 78 of file MinusScalarVariable.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::MinusScalarVariable::rfprop ( ) [virtual]

Reimplemented from PLearn::Variable.

Definition at line 127 of file MinusScalarVariable.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();
    real rscal = input2->rvaluedata[0];
    for(int k=0; k<nelems(); k++)
        rvaluedata[k] = input1->rvaluedata[k] - rscal;
}

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void PLearn::MinusScalarVariable::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 MinusScalarVariable.cc.

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

{
    input1->accg(g);
    input2->accg(-sum(g));
}

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Member Data Documentation

Reimplemented from PLearn::BinaryVariable.

Definition at line 63 of file MinusScalarVariable.h.


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