Class DepthwiseConvolution2D
- java.lang.Object
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- org.deeplearning4j.nn.conf.layers.Layer
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- org.deeplearning4j.nn.conf.layers.BaseLayer
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- org.deeplearning4j.nn.conf.layers.FeedForwardLayer
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- org.deeplearning4j.nn.conf.layers.ConvolutionLayer
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- org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D
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- All Implemented Interfaces:
Serializable,Cloneable,TrainingConfig
public class DepthwiseConvolution2D extends ConvolutionLayer
- See Also:
- Serialized Form
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Nested Class Summary
Nested Classes Modifier and Type Class Description static classDepthwiseConvolution2D.Builder-
Nested classes/interfaces inherited from class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
ConvolutionLayer.AlgoMode, ConvolutionLayer.BaseConvBuilder<T extends ConvolutionLayer.BaseConvBuilder<T>>, ConvolutionLayer.BwdDataAlgo, ConvolutionLayer.BwdFilterAlgo, ConvolutionLayer.FwdAlgo
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Field Summary
Fields Modifier and Type Field Description protected intdepthMultiplier-
Fields inherited from class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
cnn2dDataFormat, convolutionMode, cudnnAlgoMode, cudnnAllowFallback, cudnnBwdDataAlgo, cudnnBwdFilterAlgo, cudnnFwdAlgo, dilation, hasBias, kernelSize, padding, stride
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Fields inherited from class org.deeplearning4j.nn.conf.layers.FeedForwardLayer
nIn, nOut, timeDistributedFormat
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Fields inherited from class org.deeplearning4j.nn.conf.layers.BaseLayer
activationFn, biasInit, biasUpdater, gainInit, gradientNormalization, gradientNormalizationThreshold, iUpdater, regularization, regularizationBias, weightInitFn, weightNoise
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Fields inherited from class org.deeplearning4j.nn.conf.layers.Layer
constraints, iDropout, layerName
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Constructor Summary
Constructors Modifier Constructor Description protectedDepthwiseConvolution2D(DepthwiseConvolution2D.Builder builder)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description DepthwiseConvolution2Dclone()InputTypegetOutputType(int layerIndex, InputType inputType)For a given type of input to this layer, what is the type of the output?ParamInitializerinitializer()Layerinstantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)voidsetNIn(InputType inputType, boolean override)Set the nIn value (number of inputs, or input channels for CNNs) based on the given input type-
Methods inherited from class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
getMemoryReport, getPreProcessorForInputType, hasBias
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Methods inherited from class org.deeplearning4j.nn.conf.layers.FeedForwardLayer
isPretrainParam
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Methods inherited from class org.deeplearning4j.nn.conf.layers.BaseLayer
getGradientNormalization, getRegularizationByParam, getUpdaterByParam, resetLayerDefaultConfig
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Methods inherited from class org.deeplearning4j.nn.conf.layers.Layer
initializeConstraints, setDataType
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Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Methods inherited from interface org.deeplearning4j.nn.api.TrainingConfig
getGradientNormalizationThreshold, getLayerName
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Constructor Detail
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DepthwiseConvolution2D
protected DepthwiseConvolution2D(DepthwiseConvolution2D.Builder builder)
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Method Detail
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clone
public DepthwiseConvolution2D clone()
- Overrides:
clonein classConvolutionLayer
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instantiate
public Layer instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
- Overrides:
instantiatein classConvolutionLayer
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initializer
public ParamInitializer initializer()
- Overrides:
initializerin classConvolutionLayer- Returns:
- The parameter initializer for this model
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getOutputType
public InputType getOutputType(int layerIndex, InputType inputType)
Description copied from class:LayerFor a given type of input to this layer, what is the type of the output?- Overrides:
getOutputTypein classConvolutionLayer- Parameters:
layerIndex- Index of the layerinputType- Type of input for the layer- Returns:
- Type of output from the layer
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setNIn
public void setNIn(InputType inputType, boolean override)
Description copied from class:LayerSet the nIn value (number of inputs, or input channels for CNNs) based on the given input type- Overrides:
setNInin classConvolutionLayer- Parameters:
inputType- Input type for this layeroverride- If false: only set the nIn value if it's not already set. If true: set it regardless of whether it's already set or not.
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