PLearn::VarArray Class Reference

#include <VarArray.h>

Inheritance diagram for PLearn::VarArray:

[legend]Collaboration diagram for PLearn::VarArray:

[legend]List of all members.


Public Types
typedef Var *	iterator
Public Member Functions
	VarArray ()
	VarArray (int n, int n_extra=10)
	VarArray (int n, int initial_length, int n_extra)
	VarArray (int n, int initial_length, int initial_width, int n_extra)
	VarArray (const Array< Var > &va)
	VarArray (Array< Var > &va)
	VarArray (const VarArray &va)
	VarArray (const Var &v)
	VarArray (const Var &v1, const Var &v2)
	VarArray (Variable *v)
	VarArray (Variable v1, Variable v2)
void	makeDeepCopyFromShallowCopy (map< const void , void > &copies)
	Deep copy of an array is not the same as for a TVec, because the shallow copy automatically creates a new storage.
	operator Var ()
VarArray &	operator &= (const Var &v)
VarArray &	operator &= (const VarArray &va)
VarArray	operator & (const Var &v) const
VarArray	operator & (const VarArray &va) const
int	nelems () const
int	sumOfLengths () const
int	sumOfWidths () const
int	maxWidth () const
int	maxLength () const
VarArray	nonNull () const
	returns a VarArray containing all the Var's that are non-null
VarArray &	subVarArray (int start, int len) const
void	copyFrom (int start, int len, const VarArray &from)
void	copyFrom (int start, const VarArray &from)
void	copyFrom (const Vec &datavec)
void	copyValuesFrom (const VarArray &from)
void	copyTo (const Vec &datavec) const
void	accumulateTo (const Vec &datavec) const
void	copyGradientFrom (const Vec &datavec)
void	copyGradientFrom (const Array< Vec > &datavec)
void	accumulateGradientFrom (const Vec &datavec)
void	copyGradientTo (const Vec &datavec)
void	copyGradientTo (const Array< Vec > &datavec)
void	accumulateGradientTo (const Vec &datavec)
void	copyTo (real *x, int n) const
	UNSAFE: x must point to at least n floats!
void	accumulateTo (real *x, int n) const
void	copyFrom (const real *x, int n)
void	makeSharedValue (real *x, int n)
	like copyTo but also makes value's point to x
void	makeSharedGradient (real *x, int n)
	like copyGradientTo but also makes value's point to x
void	makeSharedValue (PP< Storage< real > > storage, int offset_=0)
	make value and matValue point into this storage
void	makeSharedValue (Vec &v, int offset_=0)
void	makeSharedGradient (Vec &v, int offset_=0)
void	makeSharedGradient (PP< Storage< real > > storage, int offset_=0)
void	copyGradientTo (real *x, int n)
void	copyGradientFrom (const real *x, int n)
void	accumulateGradientFrom (const real *x, int n)
void	accumulateGradientTo (real *x, int n)
void	copyMinValueTo (const Vec &minv)
void	copyMaxValueTo (const Vec &maxv)
void	copyMinValueTo (real *x, int n)
void	copyMaxValueTo (real *x, int n)
void	makeSharedRValue (Vec &v, int offset_=0)
void	makeSharedRValue (PP< Storage< real > > storage, int offset_=0)
void	copyRValueTo (const Vec &datavec)
void	copyRValueFrom (const Vec &datavec)
void	copyRValueTo (real *x, int n)
void	copyRValueFrom (const real *x, int n)
void	resizeRValue ()
void	setMark () const
void	clearMark () const
void	markPath () const
void	buildPath (VarArray &fpath) const
void	setDontBpropHere (bool val)
void	fprop ()
void	sizeprop ()
void	sizefprop ()
void	bprop ()
void	bbprop ()
void	rfprop ()
void	fbprop ()
void	fbbprop ()
void	fillGradient (real value)
void	clearGradient ()
void	clearDiagHessian ()
VarArray	sources () const
VarArray	ancestors () const
void	unmarkAncestors () const
VarArray	parents () const
	returns the set of all the direct parents of the Var in this array (previously marked parents are NOT included)
void	symbolicBprop ()
	computes symbolicBprop on a propagation path
VarArray	symbolicGradient ()
	returns a VarArray of all the ->g members of the Vars in this array.
void	clearSymbolicGradient ()
	clears the symbolic gradient in all vars of this array
bool	update (real step_size, Vec direction, real coeff=1.0, real b=0.0)
bool	update (Vec step_sizes, Vec direction, real coeff=1.0, real b=0.0)
	Update the variables in the VarArray with different step sizes, and an optional scaling coefficient + constant coefficient step_sizes and direction must have the same length As with the update with a fixed step size, there is a possible scaling down, and the return value indicates contraints have been hit.
bool	update (Vec step_sizes, Vec direction, Vec coeff)
	Same as update(Vec step_sizes, Vec direction, real coeff) except there can be 1 different coeff for each variable.
real	maxUpdate (Vec direction)
bool	update (real step_size)
void	updateAndClear ()
	value += step_size*gradient; gradient.clear();
bool	update (Vec new_value)
void	read (istream &in)
void	write (ostream &out) const
void	printNames () const
void	printInfo (bool print_gradient=false)
Var	operator[] (Var index)
Var &	operator[] (int i)
const Var &	operator[] (int i) const

Member Typedef Documentation

typedef Var* PLearn::VarArray::iterator

Reimplemented from PLearn::Array< Var >.
Definition at line 60 of file VarArray.h.
Referenced by VarArray().

Constructor & Destructor Documentation

PLearn::VarArray::VarArray ( )

Definition at line 49 of file VarArray.cc.
Referenced by subVarArray().

PLearn::VarArray::VarArray ( int n,

int n_extra = 10

) [explicit]

Definition at line 53 of file VarArray.cc.

PLearn::VarArray::VarArray ( int n,

int initial_length,

int n_extra

)

Definition at line 57 of file VarArray.cc.
References PLearn::TVec< Var >::data(), and iterator.

PLearn::VarArray::VarArray ( int n,

int initial_length,

int initial_width,

int n_extra

)

Definition at line 65 of file VarArray.cc.
References PLearn::TVec< Var >::data().

PLearn::VarArray::VarArray ( const Array< Var > & va ) [inline]

Definition at line 66 of file VarArray.h.

PLearn::VarArray::VarArray ( Array< Var > & va ) [inline]

Definition at line 67 of file VarArray.h.

PLearn::VarArray::VarArray ( const VarArray & va ) [inline]

Definition at line 68 of file VarArray.h.

PLearn::VarArray::VarArray ( const Var & v )

Definition at line 73 of file VarArray.cc.

PLearn::VarArray::VarArray ( const Var & v1,

const Var & v2

)

Definition at line 77 of file VarArray.cc.

PLearn::VarArray::VarArray ( Variable * v )

Definition at line 84 of file VarArray.cc.

PLearn::VarArray::VarArray ( Variable * v1,

Variable * v2

)

Definition at line 88 of file VarArray.cc.

Member Function Documentation

void PLearn::VarArray::accumulateGradientFrom ( const real * x,

int n

)

Definition at line 364 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), PLERROR, and PLearn::TVec< Var >::size().

void PLearn::VarArray::accumulateGradientFrom ( const Vec & datavec )

Definition at line 337 of file VarArray.cc.
References accumulateGradientFrom(), PLearn::TVec< T >::data(), and PLearn::TVec< T >::length().
Referenced by accumulateGradientFrom().

void PLearn::VarArray::accumulateGradientTo ( real * x,

int n

)

Definition at line 418 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), PLERROR, and PLearn::TVec< Var >::size().

void PLearn::VarArray::accumulateGradientTo ( const Vec & datavec )

Definition at line 413 of file VarArray.cc.
References accumulateGradientTo(), PLearn::TVec< T >::data(), and PLearn::TVec< T >::length().
Referenced by accumulateGradientTo().

void PLearn::VarArray::accumulateTo ( real * x,

int n

) const

Definition at line 268 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), PLERROR, and PLearn::TVec< Var >::size().

void PLearn::VarArray::accumulateTo ( const Vec & datavec ) const

Definition at line 241 of file VarArray.cc.
References accumulateTo(), PLearn::TVec< T >::data(), and PLearn::TVec< T >::length().
Referenced by accumulateTo(), and PLearn::Function::fbbpropAcc().

VarArray PLearn::VarArray::ancestors ( ) const

Definition at line 971 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().
Referenced by PLearn::NaryVariable::ancestors(), and PLearn::displayVarGraph().

void PLearn::VarArray::bbprop ( )

Definition at line 737 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().

void PLearn::VarArray::bprop ( )

Definition at line 729 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().
Referenced by PLearn::MatrixElementsVariable::bprop(), PLearn::ArgminOfVariable::bprop(), and PLearn::MatrixElementsVariable::fbprop().

void PLearn::VarArray::buildPath ( VarArray & fpath ) const

Definition at line 695 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().
Referenced by PLearn::NaryVariable::buildPath(), and PLearn::propagationPath().

void PLearn::VarArray::clearDiagHessian ( )

Definition at line 843 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().

void PLearn::VarArray::clearGradient ( )

Definition at line 835 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().
Referenced by PLearn::MatrixElementsVariable::bprop(), PLearn::ArgminOfVariable::bprop(), PLearn::AdaptGradientOptimizer::build_(), PLearn::ConjGradientOptimizer::computeCostAndDerivative(), PLearn::Optimizer::computeGradient(), PLearn::Optimizer::computeOppositeGradient(), PLearn::MatrixElementsVariable::fbprop(), PLearn::Function::fbprop(), PLearn::ScaledGradientOptimizer::optimize(), PLearn::GradientOptimizer::optimize(), PLearn::GradientOptimizer::optimizeN(), and PLearn::AdaptGradientOptimizer::optimizeN().

void PLearn::VarArray::clearMark ( ) const

Definition at line 677 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().
Referenced by PLearn::displayVarGraph(), PLearn::nonInputParentsOfPath(), PLearn::OldDisplayVarGraph(), parents(), and PLearn::propagationPath().

void PLearn::VarArray::clearSymbolicGradient ( )

clears the symbolic gradient in all vars of this array

Definition at line 819 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().
Referenced by PLearn::Function::differentiate().

void PLearn::VarArray::copyFrom ( const real * x,

int n

)

Definition at line 123 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), PLERROR, and PLearn::TVec< Var >::size().

void PLearn::VarArray::copyFrom ( const Vec & datavec )

Definition at line 118 of file VarArray.cc.
References copyFrom(), PLearn::TVec< T >::data(), PLearn::TVec< T >::length(), and PLearn::Vec.

void PLearn::VarArray::copyFrom ( int start,

const VarArray & from

) [inline]

Definition at line 98 of file VarArray.h.
References copyFrom().

void PLearn::VarArray::copyFrom ( int start,

int len,

const VarArray & from

)

Definition at line 659 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::TVec< Var >::isNull(), PLERROR, and PLearn::TVec< Var >::size().
Referenced by PLearn::ConjGradientOptimizer::computeCostAndDerivative(), PLearn::ConjGradientOptimizer::computeCostValue(), PLearn::ConjGradientOptimizer::computeDerivative(), copyFrom(), PLearn::ConjGradientOptimizer::gSearch(), PLearn::Function::operator()(), and PLearn::operator<<().

void PLearn::VarArray::copyGradientFrom ( const real * x,

int n

)

Definition at line 342 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), PLERROR, and PLearn::TVec< Var >::size().

void PLearn::VarArray::copyGradientFrom ( const Array< Vec > & datavec )

Definition at line 295 of file VarArray.cc.
References PLearn::TVec< T >::data(), PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), PLERROR, PLearn::TVec< T >::size(), and PLearn::TVec< Var >::size().

void PLearn::VarArray::copyGradientFrom ( const Vec & datavec )

Definition at line 290 of file VarArray.cc.
References copyGradientFrom(), PLearn::TVec< T >::data(), and PLearn::TVec< T >::length().
Referenced by copyGradientFrom(), PLearn::Function::fbprop(), and PLearn::ScaledGradientOptimizer::optimize().

void PLearn::VarArray::copyGradientTo ( real * x,

int n

)

Definition at line 391 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), PLERROR, and PLearn::TVec< Var >::size().

void PLearn::VarArray::copyGradientTo ( const Array< Vec > & datavec )

Definition at line 317 of file VarArray.cc.
References PLearn::TVec< T >::data(), PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), PLERROR, and PLearn::TVec< Var >::size().

void PLearn::VarArray::copyGradientTo ( const Vec & datavec )

Definition at line 386 of file VarArray.cc.
References copyGradientTo(), PLearn::TVec< T >::data(), and PLearn::TVec< T >::length().
Referenced by PLearn::ConjGradientOptimizer::computeCostAndDerivative(), PLearn::Optimizer::computeGradient(), PLearn::Optimizer::computeOppositeGradient(), copyGradientTo(), PLearn::Function::fbprop(), PLearn::ScaledGradientOptimizer::optimize(), and PLearn::AdaptGradientOptimizer::optimizeN().

void PLearn::VarArray::copyMaxValueTo ( real * x,

int n

)

Definition at line 472 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), PLERROR, and PLearn::TVec< Var >::size().

void PLearn::VarArray::copyMaxValueTo ( const Vec & maxv )

Definition at line 467 of file VarArray.cc.
References copyMaxValueTo(), PLearn::TVec< T >::data(), and PLearn::TVec< T >::length().
Referenced by copyMaxValueTo().

void PLearn::VarArray::copyMinValueTo ( real * x,

int n

)

Definition at line 445 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), PLERROR, and PLearn::TVec< Var >::size().

void PLearn::VarArray::copyMinValueTo ( const Vec & minv )

Definition at line 440 of file VarArray.cc.
References copyMinValueTo(), PLearn::TVec< T >::data(), and PLearn::TVec< T >::length().
Referenced by copyMinValueTo().

void PLearn::VarArray::copyRValueFrom ( const real * x,

int n

)

Definition at line 535 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), PLERROR, and PLearn::TVec< Var >::size().

void PLearn::VarArray::copyRValueFrom ( const Vec & datavec )

Definition at line 563 of file VarArray.cc.
References copyRValueFrom(), PLearn::TVec< T >::data(), and PLearn::TVec< T >::length().
Referenced by copyRValueFrom(), and PLearn::Function::rfprop().

void PLearn::VarArray::copyRValueTo ( real * x,

int n

)

Definition at line 511 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), PLERROR, and PLearn::TVec< Var >::size().

void PLearn::VarArray::copyRValueTo ( const Vec & datavec )

Definition at line 558 of file VarArray.cc.
References copyRValueTo(), PLearn::TVec< T >::data(), and PLearn::TVec< T >::length().
Referenced by copyRValueTo(), and PLearn::Function::rfprop().

void PLearn::VarArray::copyTo ( real * x,

int n

) const

UNSAFE: x must point to at least n floats!

Definition at line 246 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), PLERROR, and PLearn::TVec< Var >::size().

void PLearn::VarArray::copyTo ( const Vec & datavec ) const

Definition at line 236 of file VarArray.cc.
References copyTo(), PLearn::TVec< T >::data(), and PLearn::TVec< T >::length().
Referenced by PLearn::AdaptGradientOptimizer::build_(), PLearn::ConjGradientOptimizer::computeCostAndDerivative(), PLearn::ConjGradientOptimizer::computeCostValue(), PLearn::ConjGradientOptimizer::computeDerivative(), copyTo(), PLearn::ConjGradientOptimizer::gSearch(), PLearn::operator>>(), and PLearn::AdaptGradientOptimizer::optimizeN().

void PLearn::VarArray::copyValuesFrom ( const VarArray & from )

Definition at line 107 of file VarArray.cc.
References PLERROR, and PLearn::TVec< Var >::size().

void PLearn::VarArray::fbbprop ( )

Definition at line 781 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), PLearn::TVec< Var >::last(), and PLearn::TVec< Var >::size().

void PLearn::VarArray::fbprop ( )

Definition at line 755 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), PLearn::TVec< Var >::last(), PLERROR, and PLearn::TVec< Var >::size().
Referenced by PLearn::ConjGradientOptimizer::computeCostAndDerivative(), PLearn::Optimizer::computeGradient(), PLearn::Optimizer::computeOppositeGradient(), PLearn::Function::fbprop(), PLearn::ScaledGradientOptimizer::optimize(), PLearn::GradientOptimizer::optimize(), PLearn::GradientOptimizer::optimizeN(), PLearn::AdaptGradientOptimizer::optimizeN(), and PLearn::printInfo().

void PLearn::VarArray::fillGradient ( real value )

Definition at line 827 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().

void PLearn::VarArray::fprop ( )

Definition at line 703 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().
Referenced by PLearn::MatrixElementsVariable::bprop(), PLearn::Optimizer::build_(), PLearn::AddCostToLearner::computeCostsFromOutputs(), PLearn::ConjGradientOptimizer::computeCostValue(), PLearn::RandomVariable::epoch(), PLearn::Function::fbbprop(), PLearn::Function::fbbpropAcc(), PLearn::MatrixElementsVariable::fbprop(), PLearn::MatrixElementsVariable::fprop(), PLearn::Function::fprop(), PLearn::ArgminOfVariable::fprop(), PLearn::Variable::fprop_from_all_sources(), PLearn::Function::operator()(), PLearn::printInfo(), PLearn::Function::recomputeParents(), PLearn::RandomVarVMatrix::sample(), PLearn::sample(), and PLearn::Optimizer::setToOptimize().

void PLearn::VarArray::makeDeepCopyFromShallowCopy ( map< const void *, void * > & copies )

Deep copy of an array is not the same as for a TVec, because the shallow copy automatically creates a new storage.

Reimplemented from PLearn::Array< Var >.
Definition at line 100 of file VarArray.cc.
References PLearn::TVec< Var >::size(), and PLearn::varDeepCopyField().
Referenced by PLearn::deepCopyField(), and PLearn::Function::operator()().

void PLearn::VarArray::makeSharedGradient ( PP< Storage< real > > storage,

int offset_ = 0

)

Definition at line 192 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().

void PLearn::VarArray::makeSharedGradient ( Vec & v,

int offset_ = 0

)

Definition at line 182 of file VarArray.cc.
References makeSharedGradient(), PLearn::TVec< T >::offset_, and PLearn::TVec< T >::storage.

void PLearn::VarArray::makeSharedGradient ( real * x,

int n

)

like copyGradientTo but also makes value's point to x

Definition at line 216 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), PLERROR, and PLearn::TVec< Var >::size().
Referenced by makeSharedGradient().

void PLearn::VarArray::makeSharedRValue ( PP< Storage< real > > storage,

int offset_ = 0

)

Definition at line 494 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().

void PLearn::VarArray::makeSharedRValue ( Vec & v,

int offset_ = 0

)

Definition at line 187 of file VarArray.cc.
References makeSharedRValue(), PLearn::TVec< T >::offset_, and PLearn::TVec< T >::storage.
Referenced by makeSharedRValue().

void PLearn::VarArray::makeSharedValue ( Vec & v,

int offset_ = 0

)

Definition at line 208 of file VarArray.cc.
References PLearn::TVec< T >::length(), makeSharedValue(), nelems(), PLERROR, and PLearn::TVec< T >::storage.

void PLearn::VarArray::makeSharedValue ( PP< Storage< real > > storage,

int offset_ = 0

)

make value and matValue point into this storage

Definition at line 166 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().

void PLearn::VarArray::makeSharedValue ( real * x,

int n

)

like copyTo but also makes value's point to x

Definition at line 146 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), PLERROR, and PLearn::TVec< Var >::size().
Referenced by PLearn::NNet::build_(), PLearn::NeuralNet::build_(), PLearn::NeighborhoodSmoothnessNNet::build_(), PLearn::MultiInstanceNNet::build_(), PLearn::ConditionalDensityNet::build_(), and makeSharedValue().

void PLearn::VarArray::markPath ( ) const

Definition at line 685 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().
Referenced by PLearn::NaryVariable::markPath(), and PLearn::propagationPath().

int PLearn::VarArray::maxLength ( ) const

Definition at line 620 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), PLearn::Var::length(), and PLearn::TVec< Var >::size().
Referenced by PLearn::ConcatColumnsVariable::recomputeSize().

real PLearn::VarArray::maxUpdate ( Vec direction )

Using the box constraints on the values, return the maximum allowable step_size in the given direction i.e., argmax_{step_size} {new = value + step_size * direction, new in box}
Definition at line 906 of file VarArray.cc.
References PLearn::TVec< Var >::data(), maxUpdate(), MIN, PLearn::TVec< Var >::size(), and PLearn::TVec< T >::subVec().
Referenced by maxUpdate().

int PLearn::VarArray::maxWidth ( ) const

Definition at line 606 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), PLearn::TVec< Var >::size(), and PLearn::Var::width().
Referenced by PLearn::ConcatRowsVariable::recomputeSize().

int PLearn::VarArray::nelems ( ) const

Definition at line 568 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().
Referenced by PLearn::AdaptGradientOptimizer::adaptLearningRateALAP1(), PLearn::AdaptGradientOptimizer::adaptLearningRateVariance(), PLearn::SoftSlopeVariable::bprop(), PLearn::SoftSlopeIntegralVariable::bprop(), PLearn::HardSlopeVariable::bprop(), PLearn::TangentLearner::build_(), PLearn::Optimizer::build_(), PLearn::NNet::build_(), PLearn::NeuralNet::build_(), PLearn::NeighborhoodSmoothnessNNet::build_(), PLearn::MultiInstanceNNet::build_(), PLearn::GaussianContinuum::build_(), PLearn::Function::build_(), PLearn::ConjGradientOptimizer::build_(), PLearn::ConditionalDensityNet::build_(), PLearn::AdaptGradientOptimizer::build_(), PLearn::Function::differentiate(), PLearn::SoftSlopeVariable::fprop(), PLearn::SoftSlopeIntegralVariable::fprop(), PLearn::HardSlopeVariable::fprop(), makeSharedValue(), PLearn::AdaptGradientOptimizer::optimizeN(), update(), PLearn::Variable::verifyGradient(), and PLearn::Optimizer::verifyGradient().

VarArray PLearn::VarArray::nonNull ( ) const

returns a VarArray containing all the Var's that are non-null

Definition at line 634 of file VarArray.cc.
References PLearn::TVec< Var >::append(), PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().

VarArray PLearn::VarArray::operator & ( const VarArray & va ) const [inline]

Definition at line 86 of file VarArray.h.
References PLearn::operator &().

VarArray PLearn::VarArray::operator & ( const Var & v ) const [inline]

Definition at line 85 of file VarArray.h.
References PLearn::operator &().

VarArray& PLearn::VarArray::operator &= ( const VarArray & va ) [inline]

Definition at line 84 of file VarArray.h.
References PLearn::operator &=().

VarArray& PLearn::VarArray::operator &= ( const Var & v ) [inline]

Definition at line 83 of file VarArray.h.
References PLearn::operator &=().

PLearn::VarArray::operator Var ( ) [inline]

Definition at line 76 of file VarArray.h.
References operator[](), PLERROR, and PLearn::TVec< Var >::size().

const Var& PLearn::VarArray::operator[] ( int i ) const [inline]

Reimplemented from PLearn::TVec< Var >.
Definition at line 223 of file VarArray.h.
References operator[]().

Var& PLearn::VarArray::operator[] ( int i ) [inline]

Definition at line 222 of file VarArray.h.
References operator[]().

Var PLearn::VarArray::operator[] ( Var index )

Definition at line 956 of file VarArray.cc.
Referenced by operator Var(), and operator[]().

VarArray PLearn::VarArray::parents ( ) const

returns the set of all the direct parents of the Var in this array (previously marked parents are NOT included)

Definition at line 989 of file VarArray.cc.
References PLearn::TVec< Var >::append(), clearMark(), PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), setMark(), and PLearn::TVec< Var >::size().
Referenced by PLearn::Function::differentiate(), PLearn::nonInputParentsOfPath(), and PLearn::OldDisplayVarGraph().

void PLearn::VarArray::printInfo ( bool print_gradient = false ) [inline]

Definition at line 213 of file VarArray.h.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().
Referenced by PLearn::RandomVariable::epoch(), PLearn::printInfo(), and PLearn::Variable::printInfos().

void PLearn::VarArray::printNames ( ) const

Definition at line 1009 of file VarArray.cc.
References PLearn::endl(), and PLearn::TVec< Var >::size().

void PLearn::VarArray::read ( istream & in )

Reimplemented from PLearn::Array< Var >.
Definition at line 940 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().

void PLearn::VarArray::resizeRValue ( )

Definition at line 578 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().
Referenced by PLearn::NaryVariable::resizeRValue().

void PLearn::VarArray::rfprop ( )

Definition at line 745 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().
Referenced by PLearn::Function::rfprop().

void PLearn::VarArray::setDontBpropHere ( bool val )

Definition at line 852 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), PLearn::TVec< Var >::size(), and val.

void PLearn::VarArray::setMark ( ) const

Definition at line 669 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().
Referenced by PLearn::displayVarGraph(), PLearn::nonInputParentsOfPath(), PLearn::nonInputSources(), PLearn::OldDisplayVarGraph(), parents(), PLearn::printInfo(), and PLearn::propagationPath().

void PLearn::VarArray::sizefprop ( )

Definition at line 721 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().

void PLearn::VarArray::sizeprop ( )

Definition at line 713 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().

VarArray PLearn::VarArray::sources ( ) const

Definition at line 961 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().
Referenced by PLearn::allSources(), PLearn::displayVarGraph(), PLearn::nonInputSources(), PLearn::OldDisplayVarGraph(), PLearn::propagationPath(), and PLearn::NaryVariable::sources().

VarArray & PLearn::VarArray::subVarArray ( int start,

int len

) const

Definition at line 645 of file VarArray.cc.
References PLearn::TVec< Var >::append(), PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), PLERROR, PLearn::TVec< Var >::size(), and VarArray().

int PLearn::VarArray::sumOfLengths ( ) const

Definition at line 586 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), PLearn::Var::length(), and PLearn::TVec< Var >::size().
Referenced by PLearn::ConcatRowsVariable::recomputeSize().

int PLearn::VarArray::sumOfWidths ( ) const

Definition at line 596 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), PLearn::TVec< Var >::size(), and PLearn::Var::width().
Referenced by PLearn::ConcatColumnsVariable::recomputeSize().

void PLearn::VarArray::symbolicBprop ( )

computes symbolicBprop on a propagation path

Definition at line 801 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().
Referenced by PLearn::Function::differentiate().

VarArray PLearn::VarArray::symbolicGradient ( )

returns a VarArray of all the ->g members of the Vars in this array.

Definition at line 809 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().
Referenced by PLearn::Function::differentiate().

void PLearn::VarArray::unmarkAncestors ( ) const

Definition at line 981 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().
Referenced by PLearn::allSources(), PLearn::displayVarGraph(), PLearn::nonInputSources(), PLearn::OldDisplayVarGraph(), PLearn::propagationPath(), and PLearn::NaryVariable::unmarkAncestors().

bool PLearn::VarArray::update ( Vec new_value )

set value = new_value projected down in each direction independently in the subspace in which the box constraints are satisfied. return true if box constraints have been hit with the update
Definition at line 928 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::TVec< Var >::size(), and PLearn::TVec< T >::subVec().

bool PLearn::VarArray::update ( real step_size )

set value = value + step_size * gradient with step_size possibly scaled down s.t. box constraints are satisfied return true if box constraints have been hit with the update
Definition at line 918 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().

bool PLearn::VarArray::update ( Vec step_sizes,

Vec direction,

Vec coeff

)

Same as update(Vec step_sizes, Vec direction, real coeff) except there can be 1 different coeff for each variable.

Definition at line 872 of file VarArray.cc.
References PLearn::TVec< Var >::data(), nelems(), PLearn::TVec< Var >::size(), and PLearn::TVec< T >::subVec().

bool PLearn::VarArray::update ( Vec step_sizes,

Vec direction,

real coeff = 1.0,

real b = 0.0

)

Update the variables in the VarArray with different step sizes, and an optional scaling coefficient + constant coefficient step_sizes and direction must have the same length As with the update with a fixed step size, there is a possible scaling down, and the return value indicates contraints have been hit.

Definition at line 889 of file VarArray.cc.
References PLearn::TVec< Var >::data(), nelems(), PLearn::TVec< Var >::size(), and PLearn::TVec< T >::subVec().

bool PLearn::VarArray::update ( real step_size,

Vec direction,

real coeff = 1.0,

real b = 0.0

)

set value = value + (step_size * coeff + b) * direction with step_size possibly scaled down s.t. box constraints are satisfied return true if box constraints have been hit with the update
Definition at line 860 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::TVec< Var >::size(), and PLearn::TVec< T >::subVec().
Referenced by PLearn::ConjGradientOptimizer::computeCostAndDerivative(), PLearn::ConjGradientOptimizer::computeCostValue(), PLearn::ConjGradientOptimizer::computeDerivative(), PLearn::ConjGradientOptimizer::gSearch(), PLearn::ConjGradientOptimizer::lineSearch(), PLearn::ScaledGradientOptimizer::optimize(), and PLearn::AdaptGradientOptimizer::optimizeN().

void PLearn::VarArray::updateAndClear ( ) [inline]

value += step_size*gradient; gradient.clear();

Definition at line 227 of file VarArray.h.
References PLearn::TVec< Var >::data(), and PLearn::TVec< Var >::size().
Referenced by PLearn::GradientOptimizer::optimize(), PLearn::GradientOptimizer::optimizeN(), and PLearn::AdaptGradientOptimizer::optimizeN().

void PLearn::VarArray::write ( ostream & out ) const

Reimplemented from PLearn::Array< Var >.
Definition at line 948 of file VarArray.cc.
References PLearn::TVec< Var >::data(), PLearn::PP< Variable >::isNull(), and PLearn::TVec< Var >::size().

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

Generated on Tue Aug 17 16:25:53 2004 for PLearn by

1.3.7

PLearn::VarArray Class Reference

Public Types

Public Member Functions

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation