GClasses::GContextGRU Class Reference

Detailed Description

Context class for GRU blocks.

#include <GBlock.h>

Inheritance diagram for GClasses::GContextGRU:

Public Member Functions
	GContextGRU (GRand &rand, GBlockGRU &block)
virtual void	backProp (GContextRecurrentInstance *pPrev, const GVec &outBlame, GVec &inBlame) override
virtual void	clearBlame () override
virtual void	forwardProp (GContextRecurrentInstance *pPrev, const GVec &input, GVec &output) override
virtual void	resetState () override
	Resets the state of all recurrent blocks. (This is called whenever a recurrent neural network begins with a new sequence, either for training or testing.) More...
virtual void	updateGradient (GContextRecurrentInstance *prev, const GVec &input, GVec &gradient) const override
Public Member Functions inherited from GClasses::GContextRecurrentInstance
	GContextRecurrentInstance (GRand &rand)
virtual	~GContextRecurrentInstance ()
Public Member Functions inherited from GClasses::GContext
	GContext (GRand &rand)
virtual	~GContext ()

Public Attributes
GVec	m_blameh
GVec	m_blamer
GVec	m_blamet
GVec	m_blamez
const GBlockGRU &	m_block
GVec	m_buf1
GVec	m_buf2
GVec	m_h
GVec	m_r
GVec	m_t
GVec	m_z
Public Attributes inherited from GClasses::GContext
GRand &	m_rand

Constructor & Destructor Documentation

GClasses::GContextGRU::GContextGRU	(	GRand &	rand,
		GBlockGRU &	block
	)

Member Function Documentation

virtual void GClasses::GContextGRU::backProp ( GContextRecurrentInstance *  pPrev, const GVec &  outBlame, GVec &  inBlame  )

overridevirtual

Implements GClasses::GContextRecurrentInstance.

virtual void GClasses::GContextGRU::clearBlame ( )

overridevirtual

Implements GClasses::GContextRecurrentInstance.

virtual void GClasses::GContextGRU::forwardProp ( GContextRecurrentInstance *  pPrev, const GVec &  input, GVec &  output  )

overridevirtual

Implements GClasses::GContextRecurrentInstance.

virtual void GClasses::GContextGRU::resetState ( )

overridevirtual

Resets the state of all recurrent blocks. (This is called whenever a recurrent neural network begins with a new sequence, either for training or testing.)

Implements GClasses::GContext.

virtual void GClasses::GContextGRU::updateGradient ( GContextRecurrentInstance *  prev, const GVec &  input, GVec &  gradient  ) const

overridevirtual

Implements GClasses::GContextRecurrentInstance.

Member Data Documentation

GVec GClasses::GContextGRU::m_blameh

GVec GClasses::GContextGRU::m_blamer

GVec GClasses::GContextGRU::m_blamet

GVec GClasses::GContextGRU::m_blamez

const GBlockGRU& GClasses::GContextGRU::m_block

GVec GClasses::GContextGRU::m_buf1

GVec GClasses::GContextGRU::m_buf2

GVec GClasses::GContextGRU::m_h

GVec GClasses::GContextGRU::m_r

GVec GClasses::GContextGRU::m_t

GVec GClasses::GContextGRU::m_z