Package org.deeplearning4j.nn.graph.vertex.impl

Class L2Vertex

java.lang.Object

org.deeplearning4j.nn.graph.vertex.BaseGraphVertex

org.deeplearning4j.nn.graph.vertex.impl.L2Vertex

All Implemented Interfaces:

Serializable, Trainable, GraphVertex

public class L2Vertex
extends BaseGraphVertex

See Also:

Serialized Form

Field Summary

Fields inherited from class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex

dataType, epsilon, graph, inputs, inputVertices, outputVertex, outputVertices, vertexIndex, vertexName

Constructor Summary

Constructors

Constructor	Description
L2Vertex(ComputationGraph graph, String name, int vertexIndex, double eps, DataType dataType)
L2Vertex(ComputationGraph graph, String name, int vertexIndex, VertexIndices[] inputVertices, VertexIndices[] outputVertices, double eps, DataType dataType)

Method Summary

Modifier and Type	Method	Description
Pair<Gradient,INDArray[]>	doBackward(boolean tbptt, LayerWorkspaceMgr workspaceMgr)	Do backward pass
INDArray	doForward(boolean training, LayerWorkspaceMgr workspaceMgr)	Do forward pass using the stored inputs
Pair<INDArray,MaskState>	feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
Layer	getLayer()	Get the Layer (if any).
boolean	hasLayer()	Whether the GraphVertex contains a Layer object or not
void	setBackpropGradientsViewArray(INDArray backpropGradientsViewArray)	See Model.setBackpropGradientsViewArray(INDArray)
String	toString()

Methods inherited from class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex

canDoBackward, canDoForward, clear, clearVertex, getConfig, getEpsilon, getGradientsViewArray, getInputVertices, getNumInputArrays, getNumOutputConnections, getOutputVertices, getVertexIndex, getVertexName, isInputVertex, numParams, params, paramTable, setEpsilon, setInput, setInputVertices, setLayerAsFrozen, setOutputVertices, updaterDivideByMinibatch

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface org.deeplearning4j.nn.graph.vertex.GraphVertex

getInputs, isOutputVertex, setInputs, setOutputVertex

Constructor Detail

L2Vertex

public L2Vertex(ComputationGraph graph,
                String name,
                int vertexIndex,
                double eps,
                DataType dataType)

L2Vertex

public L2Vertex(ComputationGraph graph,
                String name,
                int vertexIndex,
                VertexIndices[] inputVertices,
                VertexIndices[] outputVertices,
                double eps,
                DataType dataType)

Method Detail

hasLayer

public boolean hasLayer()

Description copied from interface: GraphVertex

Whether the GraphVertex contains a Layer object or not

getLayer

public Layer getLayer()

Description copied from interface: GraphVertex

Get the Layer (if any). Returns null if GraphVertex.hasLayer() == false

doForward

public INDArray doForward(boolean training,
                          LayerWorkspaceMgr workspaceMgr)

Description copied from interface: GraphVertex

Do forward pass using the stored inputs

Parameters:

training - if true: forward pass at training time. If false: forward pass at test time

Returns:

The output (for example, activations) of the GraphVertex

doBackward

public Pair<Gradient,INDArray[]> doBackward(boolean tbptt,
                                                  LayerWorkspaceMgr workspaceMgr)

Description copied from interface: GraphVertex

Do backward pass

Parameters:

tbptt - If true: do backprop using truncated BPTT

Returns:

The gradients (may be null), and the errors/epsilons for all inputs to this GraphVertex

setBackpropGradientsViewArray

public void setBackpropGradientsViewArray(INDArray backpropGradientsViewArray)

Description copied from interface: GraphVertex

See Model.setBackpropGradientsViewArray(INDArray)

toString

public String toString()

Specified by:

toString in class BaseGraphVertex

feedForwardMaskArrays

public Pair<INDArray,MaskState> feedForwardMaskArrays(INDArray[] maskArrays,
                                                            MaskState currentMaskState,
                                                            int minibatchSize)