Neuralnet is constructed by creating a graph with each node representing one layer at first. More...

#include <graph.h>

Public Member Functions
const std::vector< Node * > &	nodes () const

Node *	node (const std::string &name) const

void	AddNode (Node *node)

Node *	AddNode (const std::string &name)

void	AddEdge (Node srcnode, Node dstnode)

void	AddEdge (const std::string &src, const std::string &dst)

void	RemoveEdge (Node src, Node dst)

void	RemoveEdge (const std::string &src, const std::string &dst)

std::string	ToJson () const
	Dump the graph into json string which can be used to draw a picture by graphviz.

std::string	ToJson (const std::map< std::string, std::string > &info) const
	ToJson() More...

void	Sort ()
	Do topology sort for all nodes of the graph.

Detailed Description

Neuralnet is constructed by creating a graph with each node representing one layer at first.

After topology sort for graph nodes, layers are created and connected.

Member Function Documentation

Node* singa::Graph::node ( const std::string & name ) const

inline

Parameters

name node name

const std::vector<Node*>& singa::Graph::nodes ( ) const

inline

std::string singa::Graph::ToJson ( const std::map< std::string, std::string > & info ) const

Parameters

info	info associated with each node

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/utils/graph.h