Class Subsampling1DLayer
- java.lang.Object
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- org.deeplearning4j.nn.conf.layers.Layer
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- org.deeplearning4j.nn.conf.layers.NoParamLayer
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- org.deeplearning4j.nn.conf.layers.SubsamplingLayer
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- org.deeplearning4j.nn.conf.layers.Subsampling1DLayer
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- All Implemented Interfaces:
Serializable
,Cloneable
,TrainingConfig
- Direct Known Subclasses:
Pooling1D
public class Subsampling1DLayer extends SubsamplingLayer
- See Also:
- Serialized Form
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Nested Class Summary
Nested Classes Modifier and Type Class Description static class
Subsampling1DLayer.Builder
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Nested classes/interfaces inherited from class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
SubsamplingLayer.BaseSubsamplingBuilder<T extends SubsamplingLayer.BaseSubsamplingBuilder<T>>, SubsamplingLayer.PoolingType
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Field Summary
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Fields inherited from class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
avgPoolIncludePadInDivisor, cnn2dDataFormat, convolutionMode, cudnnAllowFallback, DEFAULT_FORMAT, dilation, eps, kernelSize, padding, pnorm, poolingType, stride
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Fields inherited from class org.deeplearning4j.nn.conf.layers.Layer
constraints, iDropout, layerName
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description Subsampling1DLayer
clone()
InputType
getOutputType(int layerIndex, InputType inputType)
For a given type of input to this layer, what is the type of the output?InputPreProcessor
getPreProcessorForInputType(InputType inputType)
For the given type of input to this layer, what preprocessor (if any) is required?
Returns null if no preprocessor is required, otherwise returns an appropriateInputPreProcessor
for this layer, such as aCnnToFeedForwardPreProcessor
Layer
instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
void
setNIn(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.SubsamplingLayer
getEps, getMemoryReport, getPnorm, initializer, isPretrainParam
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Methods inherited from class org.deeplearning4j.nn.conf.layers.NoParamLayer
getGradientNormalization, getGradientNormalizationThreshold, getRegularizationByParam
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Methods inherited from class org.deeplearning4j.nn.conf.layers.Layer
getUpdaterByParam, initializeConstraints, resetLayerDefaultConfig, 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
getLayerName
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Method Detail
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instantiate
public Layer instantiate(NeuralNetConfiguration conf, Collection<TrainingListener> trainingListeners, int layerIndex, INDArray layerParamsView, boolean initializeParams, DataType networkDataType)
- Overrides:
instantiate
in classSubsamplingLayer
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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 classSubsamplingLayer
- 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:Layer
Set the nIn value (number of inputs, or input channels for CNNs) based on the given input type- Overrides:
setNIn
in classSubsamplingLayer
- 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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getPreProcessorForInputType
public InputPreProcessor getPreProcessorForInputType(InputType inputType)
Description copied from class:Layer
For the given type of input to this layer, what preprocessor (if any) is required?
Returns null if no preprocessor is required, otherwise returns an appropriateInputPreProcessor
for this layer, such as aCnnToFeedForwardPreProcessor
- Overrides:
getPreProcessorForInputType
in classSubsamplingLayer
- Parameters:
inputType
- InputType to this layer- Returns:
- Null if no preprocessor is required, otherwise the type of preprocessor necessary for this layer/input combination
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clone
public Subsampling1DLayer clone()
- Overrides:
clone
in classSubsamplingLayer
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