org.deeplearning4j.nn.modelimport.keras.layers.convolutional

Class KerasSeparableConvolution2D

java.lang.Object

org.deeplearning4j.nn.modelimport.keras.KerasLayer

org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolution

org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasSeparableConvolution2D

public class KerasSeparableConvolution2D
extends KerasConvolution

Nested Class Summary

Nested classes/interfaces inherited from class org.deeplearning4j.nn.modelimport.keras.KerasLayer

KerasLayer.DimOrder

Field Summary

Fields inherited from class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolution

hasBias, numTrainableParams

Fields inherited from class org.deeplearning4j.nn.modelimport.keras.KerasLayer

className, conf, dimOrder, dropout, inboundLayerNames, inputShape, kerasMajorVersion, layer, layerName, originalLayerConfig, outboundLayerNames, vertex, weightL1Regularization, weightL2Regularization, weights

Constructor Summary

Constructors

Constructor and Description
KerasSeparableConvolution2D(Integer kerasVersion) Pass-through constructor from KerasLayer
KerasSeparableConvolution2D(Map<String,Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasSeparableConvolution2D(Map<String,Object> layerConfig, boolean enforceTrainingConfig) Constructor from parsed Keras layer configuration dictionary.

Method Summary

Modifier and Type	Method and Description
InputType	getOutputType(InputType... inputType) Get layer output type.
SeparableConvolution2D	getSeparableConvolution2DLayer() Get DL4J SeparableConvolution2D.
void	setWeights(Map<String,INDArray> weights) Set weights for layer.

Methods inherited from class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolution

getConvParameterValues, getNumParams

Methods inherited from class org.deeplearning4j.nn.modelimport.keras.KerasLayer

clearCustomLayers, clearLambdaLayers, copyWeightsToLayer, getClassName, getDimOrder, getInboundLayerNames, getInputPreprocessor, getInputShape, getKerasMajorVersion, getLayer, getLayerName, getNInFromConfig, getVertex, getWeights, isInputPreProcessor, isLayer, isValidInboundLayer, isVertex, registerCustomLayer, registerLambdaLayer, setInboundLayerNames, setLayer, usesRegularization

Methods inherited from class java.lang.Object

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

Constructor Detail

KerasSeparableConvolution2D

public KerasSeparableConvolution2D(Integer kerasVersion)
                            throws UnsupportedKerasConfigurationException

Pass-through constructor from KerasLayer

Parameters:

kerasVersion - major keras version

Throws:

UnsupportedKerasConfigurationException - Unsupported Keras configuration

KerasSeparableConvolution2D

public KerasSeparableConvolution2D(Map<String,Object> layerConfig)
                            throws InvalidKerasConfigurationException,
                                   UnsupportedKerasConfigurationException

Constructor from parsed Keras layer configuration dictionary.

Parameters:

layerConfig - dictionary containing Keras layer configuration

Throws:

InvalidKerasConfigurationException - Invalid Keras configuration

UnsupportedKerasConfigurationException - Unsupported Keras configuration

KerasSeparableConvolution2D

public KerasSeparableConvolution2D(Map<String,Object> layerConfig,
                                   boolean enforceTrainingConfig)
                            throws InvalidKerasConfigurationException,
                                   UnsupportedKerasConfigurationException

Constructor from parsed Keras layer configuration dictionary.

Parameters:

layerConfig - dictionary containing Keras layer configuration

enforceTrainingConfig - whether to enforce training-related configuration options

Throws:

InvalidKerasConfigurationException - Invalid Keras configuration

UnsupportedKerasConfigurationException - Unsupported Keras configuration

Method Detail

setWeights

public void setWeights(Map<String,INDArray> weights)
                throws InvalidKerasConfigurationException

Set weights for layer.

Overrides:

setWeights in class KerasConvolution

Parameters:

weights - Map of weights

Throws:

InvalidKerasConfigurationException

getSeparableConvolution2DLayer

public SeparableConvolution2D getSeparableConvolution2DLayer()

Get DL4J SeparableConvolution2D.

Returns:

SeparableConvolution2D

getOutputType

public InputType getOutputType(InputType... inputType)
                        throws InvalidKerasConfigurationException

Get layer output type.

Overrides:

getOutputType in class KerasLayer

Parameters:

inputType - Array of InputTypes

Returns:

output type as InputType

Throws:

InvalidKerasConfigurationException - Invalid Keras config