parse the input records into Blobs. More...

#include <base_layer.h>

Inheritance diagram for singa::ParserLayer:

Public Member Functions
virtual void	Setup (const LayerProto &proto, const vector< SLayer > &srclayers)=0
	Setup layer properties. More...

virtual void	ParseRecords (bool training, const vector< Record > &records, Blob< float > *blob)=0
	Parse records from DataLayer into blob. More...

virtual bool	is_parserlayer () const

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

virtual void	ComputeGradient (const vector< SLayer > &srclayers)
	Dummy function. More...

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

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

virtual void	SetupAfterPartition (const LayerProto &proto, const vector< int > &shape, const vector< SLayer > &srclayers)
	Setup the layer properties except shape. More...

virtual PartitionType	partition_type () const

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

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

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

virtual void	ComputeFeature (bool training)

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

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 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_losslayer () const

virtual bool	is_bridgesrclayer () const

virtual bool	is_bridgedstlayer () const

Additional Inherited Members
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

parse the input records into Blobs.

Member Function Documentation

virtual void singa::ParserLayer::ComputeFeature	(	bool	training,
		const vector< SLayer > &	srclayers
	)

virtual

Compute features of this layer based on connected layers.

Implement forward propagation for BP. TODO(zhaojing) Implement both postive phase and negative phase for CD.

Parameters

training	true if in training phase
srclayers	layers connecting to this layer

Implements singa::Layer.

virtual void singa::ParserLayer::ComputeGradient ( const vector< SLayer > & srclayers )

inlinevirtual

Dummy function.

ParserLayer does not compute gradients.

Implements singa::Layer.

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

inlinevirtual

Returns: a pointer to storing neuron grads of this layer for BP

Reimplemented from singa::Layer.

virtual void singa::ParserLayer::ParseRecords	(	bool	training,
		const vector< Record > &	records,
		Blob< float > *	blob
	)

pure virtual

Parse records from DataLayer into blob.

This function is called by ComputeFeature(bool, const vector<SLayer>& srclayers) or Prefetch(bool).

Implemented in singa::RGBImageLayer, singa::MnistImageLayer, and singa::LabelLayer.

virtual PartitionType singa::ParserLayer::partition_type ( ) const

inlinevirtual

Returns: partition type of this layer, e.g., kNone, kLayer or kData.

Reimplemented from singa::Layer.

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

pure 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.

Implemented in singa::RGBImageLayer, singa::MnistImageLayer, and singa::LabelLayer.

virtual void singa::ParserLayer::Setup ( )

inlinevirtual

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

Reimplemented from singa::Layer.

virtual void singa::ParserLayer::SetupAfterPartition	(	const LayerProto &	proto,
		const vector< int > &	shape,
		const vector< SLayer > &	srclayers
	)

inlinevirtual

Setup the layer properties except shape.

The shape is already set and passed in to set other properties. properties are set according to shapes of itself and connected layers, and configuration. this should not change the current shape_( shape check is done outside the function).

Implements singa::Layer.

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

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

Public Member Functions

Additional Inherited Members

Detailed Description

Member Function Documentation