org.deeplearning4j.nn.conf.graph

Class ReshapeVertex

java.lang.Object

org.deeplearning4j.nn.conf.graph.GraphVertex

org.deeplearning4j.nn.conf.graph.ReshapeVertex

All Implemented Interfaces:

Serializable, Cloneable

public class ReshapeVertex
extends GraphVertex

Adds the ability to reshape and flatten the tensor in the computation graph.
NOTE: This class should only be used if you know exactly what you are doing with reshaping activations. Use preprocessors such as CnnToFeedForwardPreProcessor and FeedForwardToRnnPreProcessor for most cases.

Author:

Justin Long (crockpotveggies)

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
static char	DEFAULT_RESHAPE_ORDER
protected int[]	maskShape
protected int[]	newShape
protected char	reshapeOrder

Constructor Summary

Constructors

Constructor and Description
ReshapeVertex(char reshapeOrder, int[] newShape, int[] maskShape)
ReshapeVertex(int... newShape)

Method Summary

Modifier and Type	Method and Description
ReshapeVertex	clone()
boolean	equals(Object o)
MemoryReport	getMemoryReport(InputType... inputTypes) This is a report of the estimated memory consumption for the given vertex
InputType	getOutputType(int layerIndex, InputType... vertexInputs) Determine the type of output for this GraphVertex, given the specified inputs.
int	hashCode()
GraphVertex	instantiate(ComputationGraph graph, 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	maxVertexInputs()
int	minVertexInputs()
int	numParams(boolean backprop)

Methods inherited from class java.lang.Object

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

Field Detail

DEFAULT_RESHAPE_ORDER

public static final char DEFAULT_RESHAPE_ORDER

See Also:

Constant Field Values

reshapeOrder

protected char reshapeOrder

newShape

protected int[] newShape

maskShape

protected int[] maskShape

Constructor Detail

ReshapeVertex

public ReshapeVertex(int... newShape)

ReshapeVertex

public ReshapeVertex(char reshapeOrder,
                     int[] newShape,
                     int[] maskShape)

Method Detail

clone

public ReshapeVertex clone()

Specified by:

clone in class GraphVertex

equals

public boolean equals(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

minVertexInputs

public int minVertexInputs()

Specified by:

minVertexInputs in class GraphVertex

Returns:

The Smallest valid number of inputs to this vertex

maxVertexInputs

public int maxVertexInputs()

Specified by:

maxVertexInputs in class GraphVertex

Returns:

The largest valid number of inputs to this vertex

instantiate

public GraphVertex instantiate(ComputationGraph graph,
                               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

getMemoryReport

public MemoryReport getMemoryReport(InputType... inputTypes)

Description copied from class: GraphVertex

This is a report of the estimated memory consumption for the given vertex

Specified by:

getMemoryReport in class GraphVertex

Parameters:

inputTypes - Input types to the vertex. Memory consumption is often a function of the input type

Returns:

Memory report for the vertex