Use book-keeping for BP following Caffe's pooling implementation. More...

#include <neuron_layer.h>

Inheritance diagram for singa::CPoolingLayer:

Public Member Functions
void	Setup (const LayerProto &proto, int npartitions)
	Setup layer properties. More...

void	ComputeFeature (int flag, Metric *perf) override
	Compute features of this layer based on connected layers. More...

void	ComputeGradient (int flag, Metric *perf) override
	Compute gradients for parameters and connected layers. More...

Public Member Functions inherited from singa::Layer
virtual const std::vector < Param * >	GetParams () const
	Layers that have paramters must override this function. More...

virtual ConnectionType	src_neuron_connection (int k) const
	Return the connection type between one neuron of this layer and its source layer. More...

virtual ConnectionType	dst_layer_connection () const
	Return the connection type of this layer and all dst layers. More...

virtual const std::string	DebugString (int step, int flag)
	For print debug info about each layer, e.g., norm of feature vector, norm of parameters. More...

int	partition_dim () const

int	partition_id () const

int	type () const

const std::string &	name () const
	Return name of this layer.

virtual const Blob< float > &	data (const Layer *from) const

virtual Blob< float > *	mutable_data (const Layer *from)

virtual const Blob< float > &	grad (const Layer *from) const

virtual Blob< float > *	mutable_grad (const Layer *from)

const std::vector< Layer * >	srclayers () const
	return LayerS that connected to this layer

const std::vector< Layer * >	dstlayers () const
	return LayerS that this layer connected to

int	srclayers_size () const

int	dstlayers_size () const

void	clear_dstlayers ()

void	clear_srclayers ()

void	add_srclayer (Layer *src)

void	add_dstlayer (Layer *dst)

Additional Inherited Members
Static Public Member Functions inherited from singa::Layer
static Layer *	Create (const LayerProto &proto)

Protected Attributes inherited from singa::PoolingLayer
int	kernel_

int	pad_

int	stride_

int	batchsize_

int	channels_

int	height_

int	width_

int	pooled_height_

int	pooled_width_

PoolingProto_PoolMethod	pool_

Protected Attributes inherited from singa::Layer
LayerProto	layer_proto_

Blob< float >	data_

Blob< float >	grad_

std::vector< Layer * >	srclayers_

std::vector< Layer * >	dstlayers_

Detailed Description

Use book-keeping for BP following Caffe's pooling implementation.

Member Function Documentation

void singa::CPoolingLayer::ComputeFeature	(	int	flag,
		Metric *	perf
	)

overridevirtual

Compute features of this layer based on connected layers.

Parameters

perf	pointer to Metric obj for collect and aggregate performance

Reimplemented from singa::PoolingLayer.

void singa::CPoolingLayer::ComputeGradient	(	int	flag,
		Metric *	perf
	)

overridevirtual

Compute gradients for parameters and connected layers.

Parameters

flag	used to get the calling phase, e.g., forward of training (kForward \| kTrain)
flag	used to get the calling phase, e.g., forward of training

Reimplemented from singa::PoolingLayer.

void singa::CPoolingLayer::Setup	(	const LayerProto &	proto,
		int	npartitions
	)

virtual

Setup layer properties.

Setup the shapes for data and parameters, also setup some properties based on the layer configuration and connected layers.

Parameters

proto	layer configuration.
npartitions	num of total partitions of the original layer. This layer should be setup as one partition.

Reimplemented from singa::PoolingLayer.

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

/home/wangwei/program/asf/release-0.1/apache-singa-incubating-0.1.0-RC1/include/neuralnet/neuron_layer.h

Public Member Functions

Additional Inherited Members

Detailed Description

Member Function Documentation