org.deeplearning4j.nn.layers.samediff

Class SameDiffGraphVertex

java.lang.Object

org.deeplearning4j.nn.graph.vertex.BaseGraphVertex

org.deeplearning4j.nn.layers.samediff.SameDiffGraphVertex

All Implemented Interfaces:

Serializable, Trainable, GraphVertex

public class SameDiffGraphVertex
extends BaseGraphVertex

Implementation of a SameDiff graph vertex. Note that users should not be extending this directly - instead, use SameDiffVertex

Author:

Alex Black

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected SameDiffVertex	config
protected ExternalErrorsFunction	fn
protected INDArray	gradients
protected Map<String,INDArray>	gradTable
protected Map<String,SDVariable>	inputVars
protected INDArray[]	maskArrays
protected String	outputKey
protected SDVariable	outputVar
protected INDArray	params
protected Map<String,INDArray>	paramTable
protected SameDiff	sameDiff

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

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

Constructor Summary

Constructors

Constructor and Description
SameDiffGraphVertex(SameDiffVertex config, ComputationGraph graph, String name, int vertexIndex, INDArray paramsView, boolean initParams, DataType dataType)

Method Summary

Modifier and Type	Method and Description
void	clearVertex() This method clears inpjut for this vertex
Pair<Gradient,INDArray[]>	doBackward(boolean tbptt, LayerWorkspaceMgr workspaceMgr) Do backward pass
INDArray	doForward(boolean training, LayerWorkspaceMgr workspaceMgr) Do forward pass using the stored inputs
protected void	doInit()
Pair<INDArray,MaskState>	feedForwardMaskArrays(INDArray[] maskArrays, MaskState currentMaskState, int minibatchSize)
TrainingConfig	getConfig()
INDArray	getGradientsViewArray()
Layer	getLayer() Get the Layer (if any).
boolean	hasLayer() Whether the GraphVertex contains a Layer object or not
INDArray	params()
Map<String,INDArray>	paramTable(boolean backpropOnly) Get the parameter table for the vertex
void	setBackpropGradientsViewArray(INDArray backpropGradientsViewArray) See Model.setBackpropGradientsViewArray(INDArray)
String	toString()

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

canDoBackward, canDoForward, clear, getEpsilon, getInputVertices, getNumInputArrays, getNumOutputConnections, getOutputVertices, getVertexIndex, getVertexName, isInputVertex, numParams, 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

Field Detail

config

protected SameDiffVertex config

sameDiff

protected SameDiff sameDiff

outputVar

protected SDVariable outputVar

fn

protected ExternalErrorsFunction fn

outputKey

protected String outputKey

inputVars

protected Map<String,SDVariable> inputVars

maskArrays

protected INDArray[] maskArrays

params

protected INDArray params

gradients

protected INDArray gradients

paramTable

protected Map<String,INDArray> paramTable

gradTable

protected Map<String,INDArray> gradTable

Constructor Detail

SameDiffGraphVertex

public SameDiffGraphVertex(SameDiffVertex config,
                           ComputationGraph graph,
                           String name,
                           int vertexIndex,
                           INDArray paramsView,
                           boolean initParams,
                           DataType dataType)

Method Detail

toString

public String toString()

Specified by:

toString in class BaseGraphVertex

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)

feedForwardMaskArrays

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

doInit

protected void doInit()

clearVertex

public void clearVertex()

Description copied from interface: GraphVertex

This method clears inpjut for this vertex

Specified by:

clearVertex in interface GraphVertex

Overrides:

clearVertex in class BaseGraphVertex

paramTable

public Map<String,INDArray> paramTable(boolean backpropOnly)

Description copied from interface: GraphVertex

Get the parameter table for the vertex

Specified by:

paramTable in interface Trainable

Specified by:

paramTable in interface GraphVertex

Overrides:

paramTable in class BaseGraphVertex

Parameters:

backpropOnly - If true: exclude unsupervised training parameters

Returns:

Parameter table

getConfig

public TrainingConfig getConfig()

Specified by:

getConfig in interface Trainable

Overrides:

getConfig in class BaseGraphVertex

Returns:

Training configuration

params

public INDArray params()

Specified by:

params in interface Trainable

Overrides:

params in class BaseGraphVertex

Returns:

1d parameter vector

getGradientsViewArray

public INDArray getGradientsViewArray()

Specified by:

getGradientsViewArray in interface Trainable

Overrides:

getGradientsViewArray in class BaseGraphVertex

Returns:

1D gradients view array