Convolution layer. More...

#include <layer.h>

Inheritance diagram for singa::ConvolutionLayer:

Public Member Functions
virtual void	Setup (const LayerProto &proto, const vector< SLayer > &srclayers)
	Setup layer properties. More...

virtual void	SetupAfterPartition (const LayerProto &proto, const vector< int > &shape, const vector< SLayer > &srclayers)
	need to reset some properties (e.g., weight matrix) according to shapes (after partition, e.g., partition is done against channel dimension)

virtual void	ComputeFeature (bool training, const vector< shared_ptr< Layer >> &srclayers)

virtual void	ComputeGradient (const vector< shared_ptr< Layer >> &srclayers)

virtual vector< shared_ptr < Param > >	GetParams ()
	Layers that have paramters must overload this function. More...

virtual ConnectionType	connection_type (int k) const
	Return connection type between two layers. More...

Public Member Functions inherited from singa::Layer
virtual void	Init (const LayerProto &proto)
	Layer initialization. More...

void	Init (const Layer &other, const vector< int > &shape)
	Copy layer configuration from the other Layer, and use the shape argument to as its data shape.

virtual void	ToProto (LayerProto *layer_proto, bool copyData)
	TODO(wangsheng) Marshal layer properties and data into google protobuf object (i.e., snapshot). More...

virtual void	Setup ()
	Setup layer properties. More...

virtual void	SetupAfterPartition ()
	Setup the layer properties except shape.

virtual void	ComputeFeature (bool training, const vector< SLayer > &srclayers)=0
	Compute features of this layer based on connected layers. More...

virtual void	ComputeFeature (bool training)

virtual void	ComputeGradient (const vector< SLayer > &srclayers)=0
	Compute gradients for parameters and connecting layers. More...

virtual void	ComputeGradient ()
	Compute gradients for parameters and connecting layers.

virtual int	partition_dimension () const
	Decide on which dimension to do the partitioning. More...

virtual PartitionType	partition_type () const

virtual void	set_partitionid (int id)
	partition id is the ID of the layer in the original layer.

virtual int	partitionid () const

virtual void	set_name (string name)

virtual const string	type () const

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

const std::string &	datablob () const

const vector< int > &	shape (const Layer *layer) const

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)

virtual const vector< SLayer >	srclayers () const
	return LayerS that connected to this layer

virtual const vector< SLayer >	dstlayers () const
	return LayerS that this layer connected to

virtual const int	srclayers_size () const

virtual const int	dstlayers_size () const

virtual void	ClearDstLayers ()

virtual void	ClearSrcLayers ()

virtual void	AddSrcLayer (SLayer src)

virtual void	AddDstLayer (SLayer dst)

virtual bool	is_datalayer () const

virtual bool	is_parserlayer () const

virtual bool	is_losslayer () const

virtual bool	is_bridgesrclayer () const

virtual bool	is_bridgedstlayer () const

Protected Attributes
int	kernel_

int	pad_

int	stride_

int	batchsize_

int	channels_

int	height_

int	width_

int	col_height_

int	col_width_

int	conv_height_

int	conv_width_

int	num_filters_

shared_ptr< Param >	weight_

shared_ptr< Param >	bias_

Blob< float >	col_data_

Blob< float >	col_grad_

Protected Attributes inherited from singa::Layer
string	name_

Blob< float >	data_

Blob< float >	grad_

LayerProto	layer_proto_

vector< SLayer >	srclayers_

vector< SLayer >	dstlayers_

Detailed Description

Convolution layer.

Member Function Documentation

virtual ConnectionType singa::ConvolutionLayer::connection_type ( int k ) const

inlinevirtual

Return connection type between two layers.

Currently support two connections: kOneToOne, and kOneToAll. kOneToOne indicates the dst neuron depends on only one neuron from src layer. kOneToAll indicates the dst neuron depends on all neurons from src layer. TODO support kOneToMany.

Reimplemented from singa::Layer.

virtual vector<shared_ptr<Param> > singa::ConvolutionLayer::GetParams ( )

inlinevirtual

Layers that have paramters must overload this function.

Returns: parameters associated with this layer

Reimplemented from singa::Layer.

virtual void singa::ConvolutionLayer::Setup	(	const LayerProto &	proto,
		const vector< SLayer > &	srclayers
	)

virtual

Setup layer properties.

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

Parameters

srclayers layers connecting to this layer

Implements singa::Layer.

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

/home/wangwei/program/asf/incubator-singa/include/neuralnet/layer.h

Public Member Functions

Protected Attributes

Detailed Description

Member Function Documentation