org.deeplearning4j.nn.conf.graph.rnn

Class DuplicateToTimeSeriesVertex

java.lang.Object

org.deeplearning4j.nn.conf.graph.GraphVertex

org.deeplearning4j.nn.conf.graph.rnn.DuplicateToTimeSeriesVertex

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable

public class DuplicateToTimeSeriesVertex
extends GraphVertex

DuplicateToTimeSeriesVertex is a vertex that goes from 2d activations to a 3d time series activations, by means of duplication. That is, given a 2d input with shape [numExamples,nIn] duplicate each row to give output of [numExamples,nIn,timeSeriesLength], where the activations are the same for all time steps.
This method is used for example in sequence to sequence models.
Note: The length of the output time series (number of time steps) is determined by means of referencing one of the inputs in the ComputationGraph. That is: Because the length of the time series may differ at runtime, we generally want the number of time steps to match some other input; here, we are specifying the length of the output time series to be the same as one of the input time series

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
DuplicateToTimeSeriesVertex(java.lang.String inputName)

Method Summary

Modifier and Type	Method and Description
GraphVertex	clone()
boolean	equals(java.lang.Object o)
InputType	getOutputType(int layerIndex, InputType... vertexInputs) Determine the type of output for this GraphVertex, given the specified inputs.
int	hashCode()
GraphVertex	instantiate(ComputationGraph graph, java.lang.String name, int idx, org.nd4j.linalg.api.ndarray.INDArray paramsView, boolean initializeParams) Create a GraphVertex instance, for the given computation graph, given the configuration instance.
int	numParams(boolean backprop)

Methods inherited from class java.lang.Object

finalize, getClass, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

DuplicateToTimeSeriesVertex

public DuplicateToTimeSeriesVertex(java.lang.String inputName)

Parameters:

inputName - Name of the input in the ComputationGraph network to use, to determine how long the output time series should be. This input should (a) exist, and (b) be a time series input

Method Detail

clone

public GraphVertex clone()

Specified by:

clone in class GraphVertex

equals

public boolean equals(java.lang.Object o)

Specified by:

equals in class GraphVertex

hashCode

public int hashCode()

Specified by:

hashCode in class GraphVertex

numParams

public int numParams(boolean backprop)

Specified by:

numParams in class GraphVertex

instantiate

public GraphVertex instantiate(ComputationGraph graph,
                               java.lang.String name,
                               int idx,
                               org.nd4j.linalg.api.ndarray.INDArray paramsView,
                               boolean initializeParams)

Description copied from class: GraphVertex

Create a GraphVertex instance, for the given computation graph, given the configuration instance.

Specified by:

instantiate in class GraphVertex

Parameters:

graph - The computation graph that this GraphVertex is to be part of

name - The name of the GraphVertex object

idx - The index of the GraphVertex

paramsView - A view of the full parameters array

initializeParams - If true: initialize the parameters. If false: make no change to the values in the paramsView array

Returns:

The implementation GraphVertex object (i.e., implementation, no the configuration)

getOutputType

public InputType getOutputType(int layerIndex,
                               InputType... vertexInputs)
                        throws InvalidInputTypeException

Description copied from class: GraphVertex

Determine the type of output for this GraphVertex, given the specified inputs. Given that a GraphVertex may do arbitrary processing or modifications of the inputs, the output types can be quite different to the input type(s).
This is generally used to determine when to add preprocessors, as well as the input sizes etc for layers

Specified by:

getOutputType in class GraphVertex

Parameters:

layerIndex - The index of the layer (if appropriate/necessary).

vertexInputs - The inputs to this vertex

Returns:

The type of output for this vertex

Throws:

InvalidInputTypeException - If the input type is invalid for this type of GraphVertex