All Superinterfaces:

Serializable, Trainable

All Known Implementing Classes:

BaseGraphVertex, BaseWrapperVertex, DuplicateToTimeSeriesVertex, ElementWiseVertex, FrozenVertex, InputVertex, L2NormalizeVertex, L2Vertex, LastTimeStepVertex, LayerVertex, MergeVertex, PoolHelperVertex, PreprocessorVertex, ReshapeVertex, ReverseTimeSeriesVertex, SameDiffGraphVertex, ScaleVertex, ShiftVertex, StackVertex, SubsetVertex, UnstackVertex
```
public interface GraphVertex
extends Trainable, Serializable
```

Method Summary

All Methods Instance Methods Abstract 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
`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)`
`INDArray`	`getEpsilon()`	Get the epsilon/error (i.e., dL/dOutput) array previously set for this GraphVertex
`INDArray[]`	`getInputs()`	Get the array of inputs previously set for this GraphVertex
`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 connection (see `getNumOutputConnections()` of vertex Y is the Xth input to this vertex
`Layer`	`getLayer()`	Get the Layer (if any).
`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`	`hasLayer()`	Whether the GraphVertex contains a `Layer` object or not
`boolean`	`isInputVertex()`	Whether the GraphVertex is an input vertex
`boolean`	`isOutputVertex()`	Whether the GraphVertex is an output vertex
`Map<String,INDArray>`	`paramTable(boolean backpropOnly)`	Get the parameter table for the vertex
`void`	`setBackpropGradientsViewArray(INDArray backpropGradientsViewArray)`	See `Model.setBackpropGradientsViewArray(INDArray)`
`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`	`setInputs(INDArray... inputs)`	Set all inputs for this GraphVertex
`void`	`setInputVertices(VertexIndices[] inputVertices)`	Sets the input vertices.
`void`	`setLayerAsFrozen()`	Only applies to layer vertices.
`void`	`setOutputVertex(boolean outputVertex)`	Set the GraphVertex to be an output vertex
`void`	`setOutputVertices(VertexIndices[] outputVertices)`	set the output vertices.

Methods inherited from interface org.deeplearning4j.nn.api.Trainable
getConfig, getGradientsViewArray, numParams, params, updaterDivideByMinibatch

- Method Detail
  - getVertexName
```
String getVertexName()
```
    Get the name/label of the GraphVertex
  - getVertexIndex
```
int getVertexIndex()
```
    Get the index of the GraphVertex
  - getNumInputArrays
```
int getNumInputArrays()
```
    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)
  - getNumOutputConnections
```
int getNumOutputConnections()
```
    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.
  - getInputVertices
```
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 connection (see getNumOutputConnections() of vertex Y is the Xth input to this vertex
  - setInputVertices
```
void setInputVertices(VertexIndices[] inputVertices)
```
    Sets the input vertices.
    
    See Also:
    
    getInputVertices()
  - getOutputVertices
```
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
  - setOutputVertices
```
void setOutputVertices(VertexIndices[] outputVertices)
```
    set the output vertices.
    
    See Also:
    
    getOutputVertices()
  - hasLayer
```
boolean hasLayer()
```
    Whether the GraphVertex contains a Layer object or not
  - isInputVertex
```
boolean isInputVertex()
```
    Whether the GraphVertex is an input vertex
  - isOutputVertex
```
boolean isOutputVertex()
```
    Whether the GraphVertex is an output vertex
  - setOutputVertex
```
void setOutputVertex(boolean outputVertex)
```
    Set the GraphVertex to be an output vertex
  - getLayer
```
Layer getLayer()
```
    Get the Layer (if any). Returns null if hasLayer() == false
  - setInput
```
void setInput(int inputNumber,
              INDArray input,
              LayerWorkspaceMgr workspaceMgr)
```
    Set the input activations.
    
    Parameters:
    
    inputNumber - Must be in range 0 to getNumInputArrays()-1
    
    input - The input array
    
    workspaceMgr -
  - setEpsilon
```
void setEpsilon(INDArray epsilon)
```
    Set the errors (epsilon - aka dL/dActivation) for this GraphVertex
  - clear
```
void clear()
```
    Clear the internal state (if any) of the GraphVertex. For example, any stored inputs/errors
  - canDoForward
```
boolean canDoForward()
```
    Whether the GraphVertex can do forward pass. Typically, this is just whether all inputs are set.
  - canDoBackward
```
boolean canDoBackward()
```
    Whether the GraphVertex can do backward pass. Typically, this is just whether all errors/epsilons are set
  - doForward
```
INDArray doForward(boolean training,
                   LayerWorkspaceMgr workspaceMgr)
```
    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
```
Pair<Gradient,INDArray[]> doBackward(boolean tbptt,
                                           LayerWorkspaceMgr workspaceMgr)
```
    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
  - getInputs
```
INDArray[] getInputs()
```
    Get the array of inputs previously set for this GraphVertex
  - getEpsilon
```
INDArray getEpsilon()
```
    Get the epsilon/error (i.e., dL/dOutput) array previously set for this GraphVertex
  - setInputs
```
void setInputs(INDArray... inputs)
```
    Set all inputs for this GraphVertex
    
    See Also:
    
    setInput(int, INDArray, LayerWorkspaceMgr)
  - setBackpropGradientsViewArray
```
void setBackpropGradientsViewArray(INDArray backpropGradientsViewArray)
```
    See Model.setBackpropGradientsViewArray(INDArray)
    
    Parameters:
    
    backpropGradientsViewArray -
  - feedForwardMaskArrays
```
Pair<INDArray,MaskState> feedForwardMaskArrays(INDArray[] maskArrays,
                                                     MaskState currentMaskState,
                                                     int minibatchSize)
```
  - setLayerAsFrozen
```
void setLayerAsFrozen()
```
    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
  - clearVertex
```
void clearVertex()
```
    This method clears inpjut for this vertex
  - paramTable
```
Map<String,INDArray> paramTable(boolean backpropOnly)
```
    Get the parameter table for the vertex
    
    Specified by:
    
    paramTable in interface Trainable
    
    Parameters:
    
    backpropOnly - If true: exclude unsupervised training parameters
    
    Returns:
    
    Parameter table

Interface GraphVertex

Method Summary

Methods inherited from interface org.deeplearning4j.nn.api.Trainable

Method Detail

getVertexName

getVertexIndex

getNumInputArrays

getNumOutputConnections

getInputVertices

setInputVertices

getOutputVertices

setOutputVertices

hasLayer

isInputVertex

isOutputVertex

setOutputVertex

getLayer

setInput

setEpsilon

clear

canDoForward

canDoBackward

doForward

doBackward

getInputs

getEpsilon

setInputs

setBackpropGradientsViewArray

feedForwardMaskArrays

setLayerAsFrozen

clearVertex

paramTable