Implements a Max-pool edge. More...

#include <maxpool_edge.h>

Inheritance diagram for MaxPoolEdge:

Public Member Functions
	MaxPoolEdge (const config::Edge &edge_config)

virtual void	SetTiedTo (Edge *e)
	Sets the edge to be tied to another edge. More...

virtual void	AllocateMemory (bool fprop_only)
	Allocate memory for the model. More...

virtual void	ComputeUp (Matrix &input, Matrix &output, bool overwrite)
	Computes the output layer state given the input. More...

virtual void	ComputeDown (Matrix &deriv_output, Matrix &input, Matrix &output, Matrix &deriv_input, bool overwrite)
	Computes the derivative w.r.t the inputs of this edge given the derivative w.r.t the outputs of this edge. More...

virtual int	GetNumModules () const
	Returns the number of modules. More...

virtual bool	RequiresMemoryForDeriv () const

virtual void	SetImageSize (int image_size)
	Set the spatial size of the input to this edge. More...

int	GetKernelSize () const

int	GetStride () const

int	GetPadding () const

Public Member Functions inherited from Edge
	Edge (const config::Edge &edge_config)
	Instatntiate an Edge from the config. More...

virtual void	Initialize ()
	Initialize the weights and biases. More...

virtual void	SaveParameters (hid_t file)
	Write the weights and biases in an hdf5 file. More...

virtual void	LoadParameters (hid_t file)
	Load the weights and biases from an hdf5 file. More...

virtual void	InsertPolyak ()

virtual void	BackupCurrent ()

virtual void	LoadCurrentOnGPU ()

virtual void	LoadPolyakOnGPU ()

virtual float	GetRMSWeight ()
	Returns the root mean square weight value. More...

virtual void	ReduceLearningRate (float factor)
	Reduce the learning rate by factor. More...

virtual bool	HasNoParameters () const
	Returns whether the edge has any parameters. More...

virtual void	DisplayWeights ()
	Displays the weights. More...

virtual void	DisplayWeightStats ()
	Displays the statistics of the weights. More...

virtual void	ComputeOuter (Matrix &input, Matrix &deriv_output)
	Computes the gradient for the weights and biases. More...

virtual void	UpdateWeights ()
	Update the weights. More...

bool	IsBackPropBlocked () const
	Returns whether back prop is blocked through this edge. More...

void	SetSource (Layer *source)

void	SetDest (Layer *dest)

Layer *	GetSource ()

Layer *	GetDest ()

const string &	GetSourceName ()

const string &	GetDestName ()

const string &	GetName ()

void	SetInputChannels (int a)
	Set the number of input channels. More...

void	SetOutputChannels (int a)
	Set the number of output channels. More...

void	SetMark ()

bool	HasMark ()

string	GetTiedEdgeName ()

bool	IsTied ()

int	GetGPUId () const

void	ComputeStart (Matrix &mat)

void	ComputeEnd (Matrix &mat)

Additional Inherited Members
Static Public Member Functions inherited from Edge
static Edge *	ChooseEdgeClass (const config::Edge &edge_config)
	Selects the appropriate derived class for the edge config. More...

Protected Attributes inherited from Edge
Layer *	source_

Layer *	dest_
	The source layer for this edge. More...

const string	source_node_
	The destination layer for this edge. More...

const string	dest_node_

const string	name_

const string	tied_edge_name_

Edge *	tied_edge_

int	num_input_channels_

int	num_output_channels_

int	image_size_

int	num_modules_

bool	mark_

const bool	block_backprop_
	A marker. More...

const bool	is_tied_

ImageDisplayer *	img_display_

const int	gpu_id_

Detailed Description

Implements a Max-pool edge.

Member Function Documentation

void MaxPoolEdge::AllocateMemory ( bool fprop_only )

virtual

Allocate memory for the model.

Parameters

fprop_only If true, does not allocate memory needed for optimization.

Reimplemented from Edge.

void MaxPoolEdge::ComputeDown	(	Matrix &	deriv_output,
		Matrix &	input,
		Matrix &	output,
		Matrix &	deriv_input,
		bool	overwrite
	)

virtual

Computes the derivative w.r.t the inputs of this edge given the derivative w.r.t the outputs of this edge.

Parameters

deriv_output	Derivative w.r.t outputs of this edge.(In)
input	The input to this edge.(In)
output	The output of this edge.(In)
deriv_input	Derivative w.r.t inputs of this edge.(Out)

Implements Edge.

void MaxPoolEdge::ComputeUp	(	Matrix &	input,
		Matrix &	output,
		bool	overwrite
	)

virtual

Computes the output layer state given the input.

Applies the weights and adds bias.

Implements Edge.

virtual int MaxPoolEdge::GetNumModules ( ) const

inlinevirtual

Returns the number of modules.

This is relevant for convolution-like edges.

Reimplemented from Edge.

void MaxPoolEdge::SetImageSize ( int image_size )

virtual

Set the spatial size of the input to this edge.

Reimplemented from Edge.

void MaxPoolEdge::SetTiedTo ( Edge * e )

virtual

Sets the edge to be tied to another edge.

Reimplemented from Edge.

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

src/maxpool_edge.h
src/maxpool_edge.cc

Public Member Functions

Additional Inherited Members

Detailed Description

Member Function Documentation