PLearn 0.1
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#include <MinusScalarVariable.h>
Public Member Functions | |
MinusScalarVariable () | |
Default constructor for persistence. | |
MinusScalarVariable (Variable *input1, Variable *input2) | |
virtual string | classname () const |
virtual OptionList & | getOptionList () const |
virtual OptionMap & | getOptionMap () const |
virtual RemoteMethodMap & | getRemoteMethodMap () const |
virtual MinusScalarVariable * | deepCopy (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 PPath & | declaringFile () |
Static Public Attributes | |
static StaticInitializer | _static_initializer_ |
Protected Member Functions | |
void | build_ () |
This does the actual building. | |
Private Types | |
typedef BinaryVariable | inherited |
* Minus... *
Definition at line 54 of file MinusScalarVariable.h.
typedef BinaryVariable PLearn::MinusScalarVariable::inherited [private] |
Reimplemented from PLearn::BinaryVariable.
Definition at line 56 of file MinusScalarVariable.h.
PLearn::MinusScalarVariable::MinusScalarVariable | ( | ) | [inline] |
string PLearn::MinusScalarVariable::_classname_ | ( | ) | [static] |
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.
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]; } }
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]; } }
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_().
{ inherited::build(); build_(); }
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().
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; }
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.
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().
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; }
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().
Reimplemented from PLearn::BinaryVariable.
Definition at line 63 of file MinusScalarVariable.h.