java.lang.Object
- org.deeplearning4j.nn.graph.vertex.BaseGraphVertex

All Implemented Interfaces:

Serializable, Trainable, GraphVertex

Direct Known Subclasses:

DuplicateToTimeSeriesVertex, ElementWiseVertex, InputVertex, L2NormalizeVertex, L2Vertex, LastTimeStepVertex, LayerVertex, MergeVertex, PoolHelperVertex, PreprocessorVertex, ReshapeVertex, ReverseTimeSeriesVertex, SameDiffGraphVertex, ScaleVertex, ShiftVertex, StackVertex, SubsetVertex, UnstackVertex
```
public abstract class BaseGraphVertex
extends Object
implements GraphVertex
```
See Also:

Serialized Form

Field Summary

Fields
Modifier and Type	Field	Description
`protected DataType`	`dataType`
`protected INDArray`	`epsilon`
`protected ComputationGraph`	`graph`
`protected INDArray[]`	`inputs`
`protected VertexIndices[]`	`inputVertices`	A representation of the vertices that are inputs to this vertex (inputs during forward pass) Specifically, if inputVertices[X].getVertexIndex() = Y, and inputVertices[X].getVertexEdgeNumber() = Z then the Zth output of vertex Y is the Xth input to this vertex
`protected boolean`	`outputVertex`
`protected VertexIndices[]`	`outputVertices`	A representation of the vertices that this vertex is connected to (outputs duing forward pass) Specifically, if outputVertices[X].getVertexIndex() = Y, and outputVertices[X].getVertexEdgeNumber() = Z then the output of this vertex (there is only one output) is connected to the Zth input of vertex Y
`protected int`	`vertexIndex`	The index of this vertex
`protected String`	`vertexName`

Constructor Summary

Constructors
Modifier	Constructor	Description
`protected`	`BaseGraphVertex(ComputationGraph graph, String name, int vertexIndex, VertexIndices[] inputVertices, VertexIndices[] outputVertices, DataType dataType)`

Method Summary

All Methods Instance Methods Abstract Methods Concrete Methods
Modifier and Type	Method	Description
`boolean`	`canDoBackward()`	Whether the GraphVertex can do backward pass.
`boolean`	`canDoForward()`	Whether the GraphVertex can do forward pass.
`void`	`clear()`	Clear the internal state (if any) of the GraphVertex.
`void`	`clearVertex()`	This method clears inpjut for this vertex
`TrainingConfig`	`getConfig()`
`INDArray`	`getEpsilon()`	Get the epsilon/error (i.e., dL/dOutput) array previously set for this GraphVertex
`INDArray`	`getGradientsViewArray()`
`VertexIndices[]`	`getInputVertices()`	A representation of the vertices that are inputs to this vertex (inputs duing forward pass) Specifically, if inputVertices[X].getVertexIndex() = Y, and inputVertices[X].getVertexEdgeNumber() = Z then the Zth output of vertex Y is the Xth input to this vertex
`int`	`getNumInputArrays()`	Get the number of input arrays.
`int`	`getNumOutputConnections()`	Get the number of outgoing connections from this GraphVertex.
`VertexIndices[]`	`getOutputVertices()`	A representation of the vertices that this vertex is connected to (outputs duing forward pass) Specifically, if outputVertices[X].getVertexIndex() = Y, and outputVertices[X].getVertexEdgeNumber() = Z then the Xth output of this vertex is connected to the Zth input of vertex Y
`int`	`getVertexIndex()`	Get the index of the GraphVertex
`String`	`getVertexName()`	Get the name/label of the GraphVertex
`boolean`	`isInputVertex()`	Whether the GraphVertex is an input vertex
`long`	`numParams()`
`INDArray`	`params()`
`Map<String,INDArray>`	`paramTable(boolean backpropOnly)`	Get the parameter table for the vertex
`void`	`setEpsilon(INDArray epsilon)`	Set the errors (epsilon - aka dL/dActivation) for this GraphVertex
`void`	`setInput(int inputNumber, INDArray input, LayerWorkspaceMgr workspaceMgr)`	Set the input activations.
`void`	`setInputVertices(VertexIndices[] inputVertices)`	Sets the input vertices.
`void`	`setLayerAsFrozen()`	Only applies to layer vertices.
`void`	`setOutputVertices(VertexIndices[] outputVertices)`	set the output vertices.
`abstract String`	`toString()`
`boolean`	`updaterDivideByMinibatch(String paramName)`	DL4J layers typically produce the sum of the gradients during the backward pass for each layer, and if required (if minibatch=true) then divide by the minibatch size. However, there are some exceptions, such as the batch norm mean/variance estimate parameters: these "gradients" are actually not gradients, but are updates to be applied directly to the parameter vector.

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
doBackward, doForward, feedForwardMaskArrays, getInputs, getLayer, hasLayer, isOutputVertex, setBackpropGradientsViewArray, setInputs, setOutputVertex

- Field Detail
  - graph
```
protected ComputationGraph graph
```
  - vertexName
```
protected String vertexName
```
  - vertexIndex
```
protected int vertexIndex
```
    The index of this vertex
  - inputVertices
```
protected VertexIndices[] inputVertices
```
    A representation of the vertices that are inputs to this vertex (inputs during forward pass) Specifically, if inputVertices[X].getVertexIndex() = Y, and inputVertices[X].getVertexEdgeNumber() = Z then the Zth output of vertex Y is the Xth input to this vertex
  - outputVertices
```
protected VertexIndices[] outputVertices
```
    A representation of the vertices that this vertex is connected to (outputs duing forward pass) Specifically, if outputVertices[X].getVertexIndex() = Y, and outputVertices[X].getVertexEdgeNumber() = Z then the output of this vertex (there is only one output) is connected to the Zth input of vertex Y
  - inputs
```
protected INDArray[] inputs
```
  - epsilon
```
protected INDArray epsilon
```
  - outputVertex
```
protected boolean outputVertex
```
  - dataType
```
protected DataType dataType
```
- Constructor Detail
  - BaseGraphVertex
```
protected BaseGraphVertex(ComputationGraph graph,
                          String name,
                          int vertexIndex,
                          VertexIndices[] inputVertices,
                          VertexIndices[] outputVertices,
                          DataType dataType)
```
- Method Detail
  - getVertexName
```
public String getVertexName()
```
    Description copied from interface: GraphVertex
    
    Get the name/label of the GraphVertex
    
    Specified by:
    
    getVertexName in interface GraphVertex
  - getVertexIndex
```
public int getVertexIndex()
```
    Description copied from interface: GraphVertex
    
    Get the index of the GraphVertex
    
    Specified by:
    
    getVertexIndex in interface GraphVertex
  - getNumInputArrays
```
public int getNumInputArrays()
```
    Description copied from interface: GraphVertex
    
    Get the number of input arrays. For example, a Layer may have only one input array, but in general a GraphVertex may have an arbtrary (>=1) number of input arrays (for example, from multiple other layers)
    
    Specified by:
    
    getNumInputArrays in interface GraphVertex
  - getNumOutputConnections
```
public int getNumOutputConnections()
```
    Description copied from interface: GraphVertex
    
    Get the number of outgoing connections from this GraphVertex. A GraphVertex may only have a single output (for example, the activations out of a layer), but this output may be used as the input to an arbitrary number of other GraphVertex instances. This method returns the number of GraphVertex instances the output of this GraphVertex is input for.
    
    Specified by:
    
    getNumOutputConnections in interface GraphVertex
  - getInputVertices
```
public VertexIndices[] getInputVertices()
```
    A representation of the vertices that are inputs to this vertex (inputs duing forward pass)
    Specifically, if inputVertices[X].getVertexIndex() = Y, and inputVertices[X].getVertexEdgeNumber() = Z then the Zth output of vertex Y is the Xth input to this vertex
    
    Specified by:
    
    getInputVertices in interface GraphVertex
  - setInputVertices
```
public void setInputVertices(VertexIndices[] inputVertices)
```
    Description copied from interface: GraphVertex
    
    Sets the input vertices.
    
    Specified by:
    
    setInputVertices in interface GraphVertex
    
    See Also:
    
    GraphVertex.getInputVertices()
  - getOutputVertices
```
public VertexIndices[] getOutputVertices()
```
    A representation of the vertices that this vertex is connected to (outputs duing forward pass) Specifically, if outputVertices[X].getVertexIndex() = Y, and outputVertices[X].getVertexEdgeNumber() = Z then the Xth output of this vertex is connected to the Zth input of vertex Y
    
    Specified by:
    
    getOutputVertices in interface GraphVertex
  - setOutputVertices
```
public void setOutputVertices(VertexIndices[] outputVertices)
```
    Description copied from interface: GraphVertex
    
    set the output vertices.
    
    Specified by:
    
    setOutputVertices in interface GraphVertex
    
    See Also:
    
    GraphVertex.getOutputVertices()
  - isInputVertex
```
public boolean isInputVertex()
```
    Description copied from interface: GraphVertex
    
    Whether the GraphVertex is an input vertex
    
    Specified by:
    
    isInputVertex in interface GraphVertex
  - setInput
```
public void setInput(int inputNumber,
                     INDArray input,
                     LayerWorkspaceMgr workspaceMgr)
```
    Description copied from interface: GraphVertex
    
    Set the input activations.
    
    Specified by:
    
    setInput in interface GraphVertex
    
    Parameters:
    
    inputNumber - Must be in range 0 to GraphVertex.getNumInputArrays()-1
    
    input - The input array
  - setEpsilon
```
public void setEpsilon(INDArray epsilon)
```
    Description copied from interface: GraphVertex
    
    Set the errors (epsilon - aka dL/dActivation) for this GraphVertex
    
    Specified by:
    
    setEpsilon in interface GraphVertex
  - clear
```
public void clear()
```
    Description copied from interface: GraphVertex
    
    Clear the internal state (if any) of the GraphVertex. For example, any stored inputs/errors
    
    Specified by:
    
    clear in interface GraphVertex
  - canDoForward
```
public boolean canDoForward()
```
    Description copied from interface: GraphVertex
    
    Whether the GraphVertex can do forward pass. Typically, this is just whether all inputs are set.
    
    Specified by:
    
    canDoForward in interface GraphVertex
  - canDoBackward
```
public boolean canDoBackward()
```
    Description copied from interface: GraphVertex
    
    Whether the GraphVertex can do backward pass. Typically, this is just whether all errors/epsilons are set
    
    Specified by:
    
    canDoBackward in interface GraphVertex
  - getEpsilon
```
public INDArray getEpsilon()
```
    Description copied from interface: GraphVertex
    
    Get the epsilon/error (i.e., dL/dOutput) array previously set for this GraphVertex
    
    Specified by:
    
    getEpsilon in interface GraphVertex
  - toString
```
public abstract String toString()
```
    Overrides:
    
    toString in class Object
  - setLayerAsFrozen
```
public void setLayerAsFrozen()
```
    Description copied from interface: GraphVertex
    
    Only applies to layer vertices. Will throw exceptions on others. If applied to a layer vertex it will treat the parameters of the layer within it as constant. Activations through these will be calculated as they would as test time regardless of training mode
    
    Specified by:
    
    setLayerAsFrozen in interface GraphVertex
  - clearVertex
```
public void clearVertex()
```
    Description copied from interface: GraphVertex
    
    This method clears inpjut for this vertex
    
    Specified by:
    
    clearVertex in interface GraphVertex
  - 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 GraphVertex
    
    Specified by:
    
    paramTable in interface Trainable
    
    Parameters:
    
    backpropOnly - If true: exclude unsupervised training parameters
    
    Returns:
    
    Parameter table
  - numParams
```
public long numParams()
```
    Specified by:
    
    numParams in interface Trainable
    
    Returns:
    
    Number of parameters
  - getConfig
```
public TrainingConfig getConfig()
```
    Specified by:
    
    getConfig in interface Trainable
    
    Returns:
    
    Training configuration
  - params
```
public INDArray params()
```
    Specified by:
    
    params in interface Trainable
    
    Returns:
    
    1d parameter vector
  - getGradientsViewArray
```
public INDArray getGradientsViewArray()
```
    Specified by:
    
    getGradientsViewArray in interface Trainable
    
    Returns:
    
    1D gradients view array
  - updaterDivideByMinibatch
```
public boolean updaterDivideByMinibatch(String paramName)
```
    Description copied from interface: Trainable
    
    DL4J layers typically produce the sum of the gradients during the backward pass for each layer, and if required (if minibatch=true) then divide by the minibatch size.
    However, there are some exceptions, such as the batch norm mean/variance estimate parameters: these "gradients" are actually not gradients, but are updates to be applied directly to the parameter vector. Put another way, most gradients should be divided by the minibatch to get the average; some "gradients" are actually final updates already, and should not be divided by the minibatch size.
    
    Specified by:
    
    updaterDivideByMinibatch in interface Trainable
    
    Parameters:
    
    paramName - Name of the parameter
    
    Returns:
    
    True if gradients should be divided by minibatch (most params); false otherwise (edge cases like batch norm mean/variance estimates)

Class BaseGraphVertex

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

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

Field Detail

graph

vertexName

vertexIndex

inputVertices

outputVertices

inputs

epsilon

outputVertex

dataType

Constructor Detail

BaseGraphVertex

Method Detail

getVertexName

getVertexIndex

getNumInputArrays

getNumOutputConnections

getInputVertices

setInputVertices

getOutputVertices

setOutputVertices

isInputVertex

setInput

setEpsilon

clear

canDoForward

canDoBackward

getEpsilon

toString

setLayerAsFrozen

clearVertex

paramTable

numParams

getConfig

params

getGradientsViewArray

updaterDivideByMinibatch