PLearn 0.1
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#include <VarElementVariable.h>
Public Member Functions | |
VarElementVariable () | |
Default constructor. | |
VarElementVariable (Variable *input1, Variable *input2, bool call_build_=true) | |
Convenience constructor. | |
virtual string | classname () const |
virtual OptionList & | getOptionList () const |
virtual OptionMap & | getOptionMap () const |
virtual RemoteMethodMap & | getRemoteMethodMap () const |
virtual VarElementVariable * | 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 | 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_ () |
VarElementVariable. | |
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_ |
Private Types | |
typedef BinaryVariable | inherited |
Private Member Functions | |
void | build_ () |
This does the actual building. |
Definition at line 52 of file VarElementVariable.h.
typedef BinaryVariable PLearn::VarElementVariable::inherited [private] |
Reimplemented from PLearn::BinaryVariable.
Definition at line 54 of file VarElementVariable.h.
PLearn::VarElementVariable::VarElementVariable | ( | ) | [inline] |
string PLearn::VarElementVariable::_classname_ | ( | ) | [static] |
Reimplemented from PLearn::BinaryVariable.
Definition at line 59 of file VarElementVariable.cc.
OptionList & PLearn::VarElementVariable::_getOptionList_ | ( | ) | [static] |
Reimplemented from PLearn::BinaryVariable.
Definition at line 59 of file VarElementVariable.cc.
RemoteMethodMap & PLearn::VarElementVariable::_getRemoteMethodMap_ | ( | ) | [static] |
Reimplemented from PLearn::BinaryVariable.
Definition at line 59 of file VarElementVariable.cc.
Reimplemented from PLearn::BinaryVariable.
Definition at line 59 of file VarElementVariable.cc.
Object * PLearn::VarElementVariable::_new_instance_for_typemap_ | ( | ) | [static] |
Reimplemented from PLearn::Object.
Definition at line 59 of file VarElementVariable.cc.
StaticInitializer VarElementVariable::_static_initializer_ & PLearn::VarElementVariable::_static_initialize_ | ( | ) | [static] |
Reimplemented from PLearn::BinaryVariable.
Definition at line 59 of file VarElementVariable.cc.
void PLearn::VarElementVariable::bprop | ( | ) | [virtual] |
Implements PLearn::Variable.
Definition at line 118 of file VarElementVariable.cc.
References PLearn::Variable::gradientdata, i, PLearn::BinaryVariable::input1, PLearn::BinaryVariable::input2, j, and PLearn::Var::width().
{ if(input2->isScalar()) // scalar position index k { int k = int(input2->valuedata[0]); input1->gradientdata[k] += gradientdata[0]; } else // (i,j) position index { int i = int(input2->valuedata[0]); int j = int(input2->valuedata[1]); input1->gradientdata[i*input1->width()+j] += gradientdata[0]; } }
void PLearn::VarElementVariable::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 75 of file VarElementVariable.cc.
References PLearn::BinaryVariable::build(), and build_().
{ inherited::build(); build_(); }
void PLearn::VarElementVariable::build_ | ( | ) | [private] |
This does the actual building.
Reimplemented from PLearn::BinaryVariable.
Definition at line 84 of file VarElementVariable.cc.
References PLearn::BinaryVariable::input2, and PLERROR.
Referenced by build(), and VarElementVariable().
{ if (input2 && input2->nelems() > 2) PLERROR("IN VarElementVariable(Variable* input1, Variable* input2) input2 must have 1 (a k position index) or 2 elements (an i,j position index)"); }
string PLearn::VarElementVariable::classname | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 59 of file VarElementVariable.cc.
static const PPath& PLearn::VarElementVariable::declaringFile | ( | ) | [inline, static] |
VarElementVariable * PLearn::VarElementVariable::deepCopy | ( | CopiesMap & | copies | ) | const [virtual] |
Reimplemented from PLearn::BinaryVariable.
Definition at line 59 of file VarElementVariable.cc.
void PLearn::VarElementVariable::fprop | ( | ) | [virtual] |
compute output given input
Implements PLearn::Variable.
Definition at line 93 of file VarElementVariable.cc.
References i, PLearn::BinaryVariable::input1, PLearn::BinaryVariable::input2, j, PLearn::Var::length(), PLERROR, PLearn::Variable::valuedata, and PLearn::Var::width().
{ if(input2->isScalar()) // scalar position index k { int k = int(input2->valuedata[0]); #ifdef BOUNDCHECK if (k >= input1->length() && k>= input1->width()) // we want to allow acces both to row vectors and column vectors. PLERROR("VarElementVariable::fprop() - k = %d is out of range (size is %d)", k, input1->length()); #endif valuedata[0] = input1->valuedata[k]; } else // (i,j) position index { int i = int(input2->valuedata[0]); int j = int(input2->valuedata[1]); #ifdef BOUNDCHECK if ((i * input1->width() + j) >= input1->width() * input1->length()) PLERROR("VarElementVariable::fprop() - (%d, %d) out of range" "(size is %d)", i, j, input1->length() * input1->width()); #endif valuedata[0] = input1->valuedata[i*input1->width()+j]; } }
OptionList & PLearn::VarElementVariable::getOptionList | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 59 of file VarElementVariable.cc.
OptionMap & PLearn::VarElementVariable::getOptionMap | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 59 of file VarElementVariable.cc.
RemoteMethodMap & PLearn::VarElementVariable::getRemoteMethodMap | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 59 of file VarElementVariable.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 90 of file VarElementVariable.cc.
{ l=1; w=1; }
void PLearn::VarElementVariable::rfprop | ( | ) | [virtual] |
Reimplemented from PLearn::Variable.
Definition at line 140 of file VarElementVariable.cc.
References i, PLearn::BinaryVariable::input1, PLearn::BinaryVariable::input2, j, PLearn::TVec< T >::length(), PLearn::BinaryVariable::resizeRValue(), PLearn::Variable::rValue, PLearn::Variable::rvaluedata, and PLearn::Var::width().
{ if (rValue.length()==0) resizeRValue(); if(input2->isScalar()) // scalar position index k { int k = int(input2->valuedata[0]); rvaluedata[0] = input1->rvaluedata[k]; } else // (i,j) position index { int i = int(input2->valuedata[0]); int j = int(input2->valuedata[1]); rvaluedata[0] = input1->rvaluedata[i*input1->width()+j]; } }
void PLearn::VarElementVariable::symbolicBprop | ( | ) | [virtual] |
compute a piece of new Var graph that represents the symbolic derivative of this Var
Reimplemented from PLearn::Variable.
Definition at line 134 of file VarElementVariable.cc.
References PLearn::Variable::g, PLearn::BinaryVariable::input1, PLearn::BinaryVariable::input2, PLearn::Var::length(), and PLearn::Var::width().
Reimplemented from PLearn::BinaryVariable.
Definition at line 65 of file VarElementVariable.h.