org.deeplearning4j.nn.layers.util

Class IdentityLayer

java.lang.Object

org.deeplearning4j.nn.conf.layers.Layer

org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer

org.deeplearning4j.nn.conf.layers.samediff.SameDiffLayer

org.deeplearning4j.nn.conf.layers.samediff.SameDiffLambdaLayer

org.deeplearning4j.nn.layers.util.IdentityLayer

All Implemented Interfaces:

Serializable, Cloneable, TrainingConfig

public class IdentityLayer
extends SameDiffLambdaLayer

Identity layer, passes data through unaltered. This is a pure utility layer needed to support Keras Masking layer import. To do so we wrap this identity layer into a MaskZeroLayer and apply masks accordingly.

Author:

Max Pumperla

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLayer

SameDiffLayer.Builder<T extends SameDiffLayer.Builder<T>>

Field Summary

Fields inherited from class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLayer

weightInit

Fields inherited from class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer

biasUpdater, gradientNormalization, gradientNormalizationThreshold, regularization, regularizationBias, updater

Fields inherited from class org.deeplearning4j.nn.conf.layers.Layer

constraints, iDropout, layerName

Constructor Summary

Constructors

Constructor and Description
IdentityLayer(String name)

Method Summary

Modifier and Type	Method and Description
SDVariable	defineLayer(SameDiff sameDiff, SDVariable layerInput) The defineLayer method is used to define the foward pass for the layer
InputType	getOutputType(int layerIndex, InputType inputType) For a given type of input to this layer, what is the type of the output?

Methods inherited from class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLambdaLayer

defineLayer, defineParameters, initializeParameters

Methods inherited from class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLayer

feedForwardMaskArray, instantiate, validateInput

Methods inherited from class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer

applyGlobalConfig, applyGlobalConfigToLayer, getLayerParams, getMemoryReport, getPreProcessorForInputType, getRegularizationByParam, getUpdaterByParam, initializer, initWeights, isPretrainParam, onesMaskForInput, paramReshapeOrder, setNIn

Methods inherited from class org.deeplearning4j.nn.conf.layers.Layer

clone, initializeConstraints, resetLayerDefaultConfig, setDataType

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

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

getGradientNormalization, getGradientNormalizationThreshold, getLayerName

Constructor Detail

IdentityLayer

public IdentityLayer(String name)

Method Detail

defineLayer

public SDVariable defineLayer(SameDiff sameDiff,
                              SDVariable layerInput)

Description copied from class: SameDiffLambdaLayer

The defineLayer method is used to define the foward pass for the layer

Specified by:

defineLayer in class SameDiffLambdaLayer

Parameters:

sameDiff - SameDiff instance to use to define the vertex

layerInput - Layer input variable

Returns:

The output variable (orresponding to the output activations for the layer)

getOutputType

public InputType getOutputType(int layerIndex,
                               InputType inputType)

Description copied from class: Layer

For a given type of input to this layer, what is the type of the output?

Overrides:

getOutputType in class SameDiffLambdaLayer

Parameters:

layerIndex - Index of the layer

inputType - Type of input for the layer

Returns:

Type of output from the layer