org.deeplearning4j.nn.modelimport.keras

Class KerasLayer

java.lang.Object

org.deeplearning4j.nn.modelimport.keras.KerasLayer

Direct Known Subclasses:

KerasActivation, KerasBatchNormalization, KerasConvolution, KerasDense, KerasDropout, KerasEmbedding, KerasFlatten, KerasGlobalPooling, KerasInput, KerasLoss, KerasLstm, KerasMerge, KerasPooling, KerasZeroPadding

public class KerasLayer
extends java.lang.Object

Build Layer from Keras layer configuration.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	KerasLayer.DimOrder

Field Summary

Fields

Modifier and Type	Field and Description
protected java.lang.String	className
static java.lang.String	DIM_ORDERING_TENSORFLOW
static java.lang.String	DIM_ORDERING_THEANO
protected KerasLayer.DimOrder	dimOrder
protected double	dropout
protected java.util.List<java.lang.String>	inboundLayerNames
static java.lang.String	INIT_GLOROT_NORMAL
static java.lang.String	INIT_GLOROT_UNIFORM
static java.lang.String	INIT_HE_NORMAL
static java.lang.String	INIT_HE_UNIFORM
static java.lang.String	INIT_IDENTITY
static java.lang.String	INIT_LECUN_UNIFORM
static java.lang.String	INIT_NORMAL
static java.lang.String	INIT_ORTHOGONAL
static java.lang.String	INIT_UNIFORM
static java.lang.String	INIT_ZERO
protected int[]	inputShape
static java.lang.String	KERAS_ACTIVATION_HARD_SIGMOID
static java.lang.String	KERAS_ACTIVATION_LINEAR
static java.lang.String	KERAS_ACTIVATION_RELU
static java.lang.String	KERAS_ACTIVATION_SIGMOID
static java.lang.String	KERAS_ACTIVATION_SOFTMAX
static java.lang.String	KERAS_ACTIVATION_SOFTPLUS
static java.lang.String	KERAS_ACTIVATION_SOFTSIGN
static java.lang.String	KERAS_ACTIVATION_TANH
static java.lang.String	KERAS_LOSS_BINARY_CROSSENTROPY
static java.lang.String	KERAS_LOSS_CATEGORICAL_CROSSENTROPY
static java.lang.String	KERAS_LOSS_COSINE_PROXIMITY
static java.lang.String	KERAS_LOSS_HINGE
static java.lang.String	KERAS_LOSS_KLD
static java.lang.String	KERAS_LOSS_KULLBACK_LEIBLER_DIVERGENCE
static java.lang.String	KERAS_LOSS_MAE
static java.lang.String	KERAS_LOSS_MAPE
static java.lang.String	KERAS_LOSS_MEAN_ABSOLUTE_ERROR
static java.lang.String	KERAS_LOSS_MEAN_ABSOLUTE_PERCENTAGE_ERROR
static java.lang.String	KERAS_LOSS_MEAN_SQUARED_ERROR
static java.lang.String	KERAS_LOSS_MEAN_SQUARED_LOGARITHMIC_ERROR
static java.lang.String	KERAS_LOSS_MSE
static java.lang.String	KERAS_LOSS_MSLE
static java.lang.String	KERAS_LOSS_POISSON
static java.lang.String	KERAS_LOSS_SPARSE_CATEGORICAL_CROSSENTROPY
static java.lang.String	KERAS_LOSS_SQUARED_HINGE
protected Layer	layer
static java.lang.String	LAYER_BORDER_MODE_FULL
static java.lang.String	LAYER_BORDER_MODE_SAME
static java.lang.String	LAYER_BORDER_MODE_VALID
static java.lang.String	LAYER_CLASS_NAME_ACTIVATION
static java.lang.String	LAYER_CLASS_NAME_AVERAGE_POOLING_1D
static java.lang.String	LAYER_CLASS_NAME_AVERAGE_POOLING_2D
static java.lang.String	LAYER_CLASS_NAME_BATCHNORMALIZATION
static java.lang.String	LAYER_CLASS_NAME_CONVOLUTION_1D
static java.lang.String	LAYER_CLASS_NAME_CONVOLUTION_2D
static java.lang.String	LAYER_CLASS_NAME_DENSE
static java.lang.String	LAYER_CLASS_NAME_DROPOUT
static java.lang.String	LAYER_CLASS_NAME_EMBEDDING
static java.lang.String	LAYER_CLASS_NAME_FLATTEN
static java.lang.String	LAYER_CLASS_NAME_GLOBAL_AVERAGE_POOLING_1D
static java.lang.String	LAYER_CLASS_NAME_GLOBAL_AVERAGE_POOLING_2D
static java.lang.String	LAYER_CLASS_NAME_GLOBAL_MAX_POOLING_1D
static java.lang.String	LAYER_CLASS_NAME_GLOBAL_MAX_POOLING_2D
static java.lang.String	LAYER_CLASS_NAME_INPUT
static java.lang.String	LAYER_CLASS_NAME_LSTM
static java.lang.String	LAYER_CLASS_NAME_MAX_POOLING_1D
static java.lang.String	LAYER_CLASS_NAME_MAX_POOLING_2D
static java.lang.String	LAYER_CLASS_NAME_MERGE
static java.lang.String	LAYER_CLASS_NAME_TIME_DISTRIBUTED
static java.lang.String	LAYER_CLASS_NAME_TIME_DISTRIBUTED_DENSE
static java.lang.String	LAYER_CLASS_NAME_ZERO_PADDING_1D
static java.lang.String	LAYER_CLASS_NAME_ZERO_PADDING_2D
static java.lang.String	LAYER_FIELD_ACTIVATION
static java.lang.String	LAYER_FIELD_B_REGULARIZER
static java.lang.String	LAYER_FIELD_BATCH_INPUT_SHAPE
static java.lang.String	LAYER_FIELD_BORDER_MODE
static java.lang.String	LAYER_FIELD_CLASS_NAME
static java.lang.String	LAYER_FIELD_CONFIG
static java.lang.String	LAYER_FIELD_DIM_ORDERING
static java.lang.String	LAYER_FIELD_DROPOUT
static java.lang.String	LAYER_FIELD_DROPOUT_W
static java.lang.String	LAYER_FIELD_INBOUND_NODES
static java.lang.String	LAYER_FIELD_INIT
static java.lang.String	LAYER_FIELD_LAYER
static java.lang.String	LAYER_FIELD_NAME
static java.lang.String	LAYER_FIELD_NB_COL
static java.lang.String	LAYER_FIELD_NB_FILTER
static java.lang.String	LAYER_FIELD_NB_ROW
static java.lang.String	LAYER_FIELD_OUTPUT_DIM
static java.lang.String	LAYER_FIELD_POOL_SIZE
static java.lang.String	LAYER_FIELD_STRIDES
static java.lang.String	LAYER_FIELD_SUBSAMPLE
static java.lang.String	LAYER_FIELD_W_REGULARIZER
protected java.lang.String	layerName
static java.lang.String	REGULARIZATION_TYPE_L1
static java.lang.String	REGULARIZATION_TYPE_L2
protected GraphVertex	vertex
protected double	weightL1Regularization
protected double	weightL2Regularization
protected java.util.Map<java.lang.String,org.nd4j.linalg.api.ndarray.INDArray>	weights

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	KerasLayer()
protected	KerasLayer(java.util.Map<java.lang.String,java.lang.Object> layerConfig) Constructor.
protected	KerasLayer(java.util.Map<java.lang.String,java.lang.Object> layerConfig, boolean enforceTrainingConfig) Constructor.

Method Summary

Modifier and Type	Method and Description
static void	checkForUnsupportedConfigurations(java.util.Map<java.lang.String,java.lang.Object> layerConfig, boolean enforceTrainingConfig) Checks whether layer config contains unsupported options.
void	copyWeightsToLayer(Layer layer) Copy Keras layer weights to DL4J Layer.
protected org.nd4j.linalg.activations.IActivation	getActivationFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig) Get activation function from Keras layer configuration.
static double	getBiasL1RegularizationFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig, boolean willBeTrained) Get L1 bias regularization (if any) from Keras bias regularization configuration.
java.lang.String	getClassName() Get Keras layer class name.
static java.lang.String	getClassNameFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig) Get Keras layer class name from Keras layer configuration.
static ConvolutionMode	getConvolutionModeFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig) Get convolution border mode from Keras layer configuration.
KerasLayer.DimOrder	getDimOrder() Get Keras layer backend dimension order.
protected double	getDropoutFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig) Get dropout from Keras layer configuration.
java.util.List<java.lang.String>	getInboundLayerNames() Get list of inbound layers.
static java.util.List<java.lang.String>	getInboundLayerNamesFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig) Get list of inbound layers from Keras layer configuration.
static java.util.Map<java.lang.String,java.lang.Object>	getInnerLayerConfigFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig) Get inner layer config from Keras layer configuration.
InputPreProcessor	getInputPreprocessor(InputType... inputType) Gets appropriate DL4J InputPreProcessor for given InputTypes.
int[]	getInputShape() Get layer input shape.
static KerasLayer	getKerasLayerFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig) Build KerasLayer from a Keras layer configuration.
static KerasLayer	getKerasLayerFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig, boolean enforceTrainingConfig) Build KerasLayer from a Keras layer configuration.
static int[]	getKernelSizeFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig) Get (convolution) kernel size from Keras layer configuration.
Layer	getLayer() Gets corresponding DL4J Layer, if any.
java.lang.String	getLayerName() Get Keras layer name.
protected java.lang.String	getLayerNameFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig) Get layer name from Keras layer configuration.
static int	getNOutFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig) Get number of outputs from Keras layer configuration.
int	getNumParams() Returns number of trainable parameters in layer.
InputType	getOutputType(InputType... inputType) Get layer output type.
int[]	getPaddingFromBorderModeConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig) Get (convolution) padding from Keras layer configuration.
static int[]	getStrideFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig) Get (convolution) stride from Keras layer configuration.
static java.util.Map<java.lang.String,java.lang.Object>	getTimeDistributedLayerConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig) Extract inner layer config from TimeDistributed configuration and merge it into the outer config.
GraphVertex	getVertex() Gets corresponding DL4J Vertex, if any.
protected WeightInit	getWeightInitFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig, boolean enforceTrainingConfig) Get weight initialization from Keras layer configuration.
static double	getWeightL1RegularizationFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig, boolean willBeTrained) Get L1 weight regularization (if any) from Keras weight regularization configuration.
static double	getWeightL2RegularizationFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig, boolean willBeTrained) Get L2 weight regularization (if any) from Keras weight regularization configuration.
boolean	isInputPreProcessor() Whether this Keras layer maps to a DL4J InputPreProcessor.
boolean	isLayer() Whether this Keras layer maps to a DL4J Layer.
boolean	isValidInboundLayer() Indicates whether this layer a valid inbound layer.
boolean	isVertex() Whether this Keras layer maps to a DL4J Vertex.
static org.nd4j.linalg.activations.IActivation	mapActivation(java.lang.String kerasActivation) Map Keras to DL4J activation functions.
static org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction	mapLossFunction(java.lang.String kerasLoss) Map Keras to DL4J loss functions.
static int[]	mapPoolingDimensions(java.lang.String className) Map Keras pooling layers to DL4J pooling dimensions.
static PoolingType	mapPoolingType(java.lang.String className) Map Keras pooling layers to DL4J pooling types.
static WeightInit	mapWeightInitialization(java.lang.String kerasInit) Map Keras to DL4J weight initialization functions.
void	setDimOrder(KerasLayer.DimOrder dimOrder) Set Keras layer backend dimension order.
void	setInboundLayerNames(java.util.List<java.lang.String> inboundLayerNames) Set list of inbound layers.
void	setWeights(java.util.Map<java.lang.String,org.nd4j.linalg.api.ndarray.INDArray> weights) Set weights for Keras layer.
boolean	usesRegularization() Indicates whether layer uses regularization.

Methods inherited from class java.lang.Object

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

Field Detail

LAYER_FIELD_CLASS_NAME

public static final java.lang.String LAYER_FIELD_CLASS_NAME

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Constant Field Values

LAYER_CLASS_NAME_ACTIVATION

public static final java.lang.String LAYER_CLASS_NAME_ACTIVATION

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Constant Field Values

LAYER_CLASS_NAME_INPUT

public static final java.lang.String LAYER_CLASS_NAME_INPUT

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Constant Field Values

LAYER_CLASS_NAME_DROPOUT

public static final java.lang.String LAYER_CLASS_NAME_DROPOUT

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Constant Field Values

LAYER_CLASS_NAME_DENSE

public static final java.lang.String LAYER_CLASS_NAME_DENSE

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Constant Field Values

LAYER_CLASS_NAME_TIME_DISTRIBUTED_DENSE

public static final java.lang.String LAYER_CLASS_NAME_TIME_DISTRIBUTED_DENSE

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Constant Field Values

LAYER_CLASS_NAME_LSTM

public static final java.lang.String LAYER_CLASS_NAME_LSTM

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Constant Field Values

LAYER_CLASS_NAME_CONVOLUTION_1D

public static final java.lang.String LAYER_CLASS_NAME_CONVOLUTION_1D

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Constant Field Values

LAYER_CLASS_NAME_CONVOLUTION_2D

public static final java.lang.String LAYER_CLASS_NAME_CONVOLUTION_2D

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Constant Field Values

LAYER_CLASS_NAME_MAX_POOLING_1D

public static final java.lang.String LAYER_CLASS_NAME_MAX_POOLING_1D

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Constant Field Values

LAYER_CLASS_NAME_MAX_POOLING_2D

public static final java.lang.String LAYER_CLASS_NAME_MAX_POOLING_2D

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Constant Field Values

LAYER_CLASS_NAME_AVERAGE_POOLING_1D

public static final java.lang.String LAYER_CLASS_NAME_AVERAGE_POOLING_1D

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Constant Field Values

LAYER_CLASS_NAME_AVERAGE_POOLING_2D

public static final java.lang.String LAYER_CLASS_NAME_AVERAGE_POOLING_2D

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Constant Field Values

LAYER_CLASS_NAME_ZERO_PADDING_1D

public static final java.lang.String LAYER_CLASS_NAME_ZERO_PADDING_1D

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Constant Field Values

LAYER_CLASS_NAME_ZERO_PADDING_2D

public static final java.lang.String LAYER_CLASS_NAME_ZERO_PADDING_2D

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Constant Field Values

LAYER_CLASS_NAME_FLATTEN

public static final java.lang.String LAYER_CLASS_NAME_FLATTEN

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Constant Field Values

LAYER_CLASS_NAME_MERGE

public static final java.lang.String LAYER_CLASS_NAME_MERGE

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Constant Field Values

LAYER_CLASS_NAME_BATCHNORMALIZATION

public static final java.lang.String LAYER_CLASS_NAME_BATCHNORMALIZATION

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Constant Field Values

LAYER_CLASS_NAME_TIME_DISTRIBUTED

public static final java.lang.String LAYER_CLASS_NAME_TIME_DISTRIBUTED

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Constant Field Values

LAYER_CLASS_NAME_EMBEDDING

public static final java.lang.String LAYER_CLASS_NAME_EMBEDDING

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Constant Field Values

LAYER_CLASS_NAME_GLOBAL_MAX_POOLING_1D

public static final java.lang.String LAYER_CLASS_NAME_GLOBAL_MAX_POOLING_1D

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Constant Field Values

LAYER_CLASS_NAME_GLOBAL_MAX_POOLING_2D

public static final java.lang.String LAYER_CLASS_NAME_GLOBAL_MAX_POOLING_2D

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Constant Field Values

LAYER_CLASS_NAME_GLOBAL_AVERAGE_POOLING_1D

public static final java.lang.String LAYER_CLASS_NAME_GLOBAL_AVERAGE_POOLING_1D

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Constant Field Values

LAYER_CLASS_NAME_GLOBAL_AVERAGE_POOLING_2D

public static final java.lang.String LAYER_CLASS_NAME_GLOBAL_AVERAGE_POOLING_2D

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Constant Field Values

LAYER_FIELD_CONFIG

public static final java.lang.String LAYER_FIELD_CONFIG

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Constant Field Values

LAYER_FIELD_NAME

public static final java.lang.String LAYER_FIELD_NAME

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Constant Field Values

LAYER_FIELD_BATCH_INPUT_SHAPE

public static final java.lang.String LAYER_FIELD_BATCH_INPUT_SHAPE

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Constant Field Values

LAYER_FIELD_INBOUND_NODES

public static final java.lang.String LAYER_FIELD_INBOUND_NODES

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Constant Field Values

LAYER_FIELD_DROPOUT

public static final java.lang.String LAYER_FIELD_DROPOUT

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Constant Field Values

LAYER_FIELD_DROPOUT_W

public static final java.lang.String LAYER_FIELD_DROPOUT_W

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Constant Field Values

LAYER_FIELD_OUTPUT_DIM

public static final java.lang.String LAYER_FIELD_OUTPUT_DIM

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Constant Field Values

LAYER_FIELD_NB_FILTER

public static final java.lang.String LAYER_FIELD_NB_FILTER

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Constant Field Values

LAYER_FIELD_NB_ROW

public static final java.lang.String LAYER_FIELD_NB_ROW

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Constant Field Values

LAYER_FIELD_NB_COL

public static final java.lang.String LAYER_FIELD_NB_COL

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Constant Field Values

LAYER_FIELD_POOL_SIZE

public static final java.lang.String LAYER_FIELD_POOL_SIZE

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Constant Field Values

LAYER_FIELD_SUBSAMPLE

public static final java.lang.String LAYER_FIELD_SUBSAMPLE

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Constant Field Values

LAYER_FIELD_STRIDES

public static final java.lang.String LAYER_FIELD_STRIDES

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Constant Field Values

LAYER_FIELD_BORDER_MODE

public static final java.lang.String LAYER_FIELD_BORDER_MODE

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Constant Field Values

LAYER_BORDER_MODE_SAME

public static final java.lang.String LAYER_BORDER_MODE_SAME

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Constant Field Values

LAYER_BORDER_MODE_VALID

public static final java.lang.String LAYER_BORDER_MODE_VALID

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Constant Field Values

LAYER_BORDER_MODE_FULL

public static final java.lang.String LAYER_BORDER_MODE_FULL

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Constant Field Values

LAYER_FIELD_W_REGULARIZER

public static final java.lang.String LAYER_FIELD_W_REGULARIZER

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Constant Field Values

LAYER_FIELD_B_REGULARIZER

public static final java.lang.String LAYER_FIELD_B_REGULARIZER

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Constant Field Values

REGULARIZATION_TYPE_L1

public static final java.lang.String REGULARIZATION_TYPE_L1

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Constant Field Values

REGULARIZATION_TYPE_L2

public static final java.lang.String REGULARIZATION_TYPE_L2

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Constant Field Values

LAYER_FIELD_INIT

public static final java.lang.String LAYER_FIELD_INIT

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Constant Field Values

INIT_UNIFORM

public static final java.lang.String INIT_UNIFORM

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Constant Field Values

INIT_ZERO

public static final java.lang.String INIT_ZERO

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Constant Field Values

INIT_GLOROT_NORMAL

public static final java.lang.String INIT_GLOROT_NORMAL

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Constant Field Values

INIT_GLOROT_UNIFORM

public static final java.lang.String INIT_GLOROT_UNIFORM

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Constant Field Values

INIT_HE_NORMAL

public static final java.lang.String INIT_HE_NORMAL

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Constant Field Values

INIT_HE_UNIFORM

public static final java.lang.String INIT_HE_UNIFORM

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Constant Field Values

INIT_LECUN_UNIFORM

public static final java.lang.String INIT_LECUN_UNIFORM

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Constant Field Values

INIT_NORMAL

public static final java.lang.String INIT_NORMAL

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Constant Field Values

INIT_ORTHOGONAL

public static final java.lang.String INIT_ORTHOGONAL

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Constant Field Values

INIT_IDENTITY

public static final java.lang.String INIT_IDENTITY

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Constant Field Values

LAYER_FIELD_ACTIVATION

public static final java.lang.String LAYER_FIELD_ACTIVATION

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Constant Field Values

KERAS_ACTIVATION_SOFTMAX

public static final java.lang.String KERAS_ACTIVATION_SOFTMAX

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Constant Field Values

KERAS_ACTIVATION_SOFTPLUS

public static final java.lang.String KERAS_ACTIVATION_SOFTPLUS

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Constant Field Values

KERAS_ACTIVATION_SOFTSIGN

public static final java.lang.String KERAS_ACTIVATION_SOFTSIGN

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Constant Field Values

KERAS_ACTIVATION_RELU

public static final java.lang.String KERAS_ACTIVATION_RELU

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Constant Field Values

KERAS_ACTIVATION_TANH

public static final java.lang.String KERAS_ACTIVATION_TANH

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Constant Field Values

KERAS_ACTIVATION_SIGMOID

public static final java.lang.String KERAS_ACTIVATION_SIGMOID

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Constant Field Values

KERAS_ACTIVATION_HARD_SIGMOID

public static final java.lang.String KERAS_ACTIVATION_HARD_SIGMOID

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Constant Field Values

KERAS_ACTIVATION_LINEAR

public static final java.lang.String KERAS_ACTIVATION_LINEAR

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Constant Field Values

LAYER_FIELD_DIM_ORDERING

public static final java.lang.String LAYER_FIELD_DIM_ORDERING

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Constant Field Values

DIM_ORDERING_THEANO

public static final java.lang.String DIM_ORDERING_THEANO

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Constant Field Values

DIM_ORDERING_TENSORFLOW

public static final java.lang.String DIM_ORDERING_TENSORFLOW

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Constant Field Values

KERAS_LOSS_MEAN_SQUARED_ERROR

public static final java.lang.String KERAS_LOSS_MEAN_SQUARED_ERROR

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Constant Field Values

KERAS_LOSS_MSE

public static final java.lang.String KERAS_LOSS_MSE

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Constant Field Values

KERAS_LOSS_MEAN_ABSOLUTE_ERROR

public static final java.lang.String KERAS_LOSS_MEAN_ABSOLUTE_ERROR

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Constant Field Values

KERAS_LOSS_MAE

public static final java.lang.String KERAS_LOSS_MAE

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Constant Field Values

KERAS_LOSS_MEAN_ABSOLUTE_PERCENTAGE_ERROR

public static final java.lang.String KERAS_LOSS_MEAN_ABSOLUTE_PERCENTAGE_ERROR

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Constant Field Values

KERAS_LOSS_MAPE

public static final java.lang.String KERAS_LOSS_MAPE

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Constant Field Values

KERAS_LOSS_MEAN_SQUARED_LOGARITHMIC_ERROR

public static final java.lang.String KERAS_LOSS_MEAN_SQUARED_LOGARITHMIC_ERROR

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Constant Field Values

KERAS_LOSS_MSLE

public static final java.lang.String KERAS_LOSS_MSLE

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Constant Field Values

KERAS_LOSS_SQUARED_HINGE

public static final java.lang.String KERAS_LOSS_SQUARED_HINGE

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Constant Field Values

KERAS_LOSS_HINGE

public static final java.lang.String KERAS_LOSS_HINGE

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Constant Field Values

KERAS_LOSS_BINARY_CROSSENTROPY

public static final java.lang.String KERAS_LOSS_BINARY_CROSSENTROPY

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Constant Field Values

KERAS_LOSS_CATEGORICAL_CROSSENTROPY

public static final java.lang.String KERAS_LOSS_CATEGORICAL_CROSSENTROPY

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Constant Field Values

KERAS_LOSS_SPARSE_CATEGORICAL_CROSSENTROPY

public static final java.lang.String KERAS_LOSS_SPARSE_CATEGORICAL_CROSSENTROPY

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Constant Field Values

KERAS_LOSS_KULLBACK_LEIBLER_DIVERGENCE

public static final java.lang.String KERAS_LOSS_KULLBACK_LEIBLER_DIVERGENCE

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Constant Field Values

KERAS_LOSS_KLD

public static final java.lang.String KERAS_LOSS_KLD

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Constant Field Values

KERAS_LOSS_POISSON

public static final java.lang.String KERAS_LOSS_POISSON

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Constant Field Values

KERAS_LOSS_COSINE_PROXIMITY

public static final java.lang.String KERAS_LOSS_COSINE_PROXIMITY

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Constant Field Values

LAYER_FIELD_LAYER

public static final java.lang.String LAYER_FIELD_LAYER

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Constant Field Values

className

protected java.lang.String className

layerName

protected java.lang.String layerName

inputShape

protected int[] inputShape

dimOrder

protected KerasLayer.DimOrder dimOrder

inboundLayerNames

protected java.util.List<java.lang.String> inboundLayerNames

layer

protected Layer layer

vertex

protected GraphVertex vertex

weights

protected java.util.Map<java.lang.String,org.nd4j.linalg.api.ndarray.INDArray> weights

weightL1Regularization

protected double weightL1Regularization

weightL2Regularization

protected double weightL2Regularization

dropout

protected double dropout

Constructor Detail

KerasLayer

protected KerasLayer()

KerasLayer

protected KerasLayer(java.util.Map<java.lang.String,java.lang.Object> layerConfig)
              throws InvalidKerasConfigurationException,
                     UnsupportedKerasConfigurationException

Constructor.

Parameters:

layerConfig - dictionary containing Keras layer configuration

Throws:

InvalidKerasConfigurationException

UnsupportedKerasConfigurationException

KerasLayer

protected KerasLayer(java.util.Map<java.lang.String,java.lang.Object> layerConfig,
                     boolean enforceTrainingConfig)
              throws InvalidKerasConfigurationException,
                     UnsupportedKerasConfigurationException

Constructor. "enforceTrainingConfig" parameter controls whether layer is built for training. This controls behavior of certain exceptions. In training mode, passing an unsupported regularizer will generate an error. In non-training mode, it generates only a warning.

Parameters:

layerConfig - dictionary containing Keras layer configuration

enforceTrainingConfig - whether layer should be built for training (controls certain exceptions)

Throws:

InvalidKerasConfigurationException

UnsupportedKerasConfigurationException

Method Detail

getKerasLayerFromConfig

public static KerasLayer getKerasLayerFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig)
                                          throws InvalidKerasConfigurationException,
                                                 UnsupportedKerasConfigurationException

Build KerasLayer from a Keras layer configuration.

Parameters:

layerConfig - dictionary containing Keras layer configuration map containing Keras layer properties

Returns:

KerasLayer

Throws:

InvalidKerasConfigurationException

UnsupportedKerasConfigurationException

See Also:

Layer

getKerasLayerFromConfig

public static KerasLayer getKerasLayerFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig,
                                                 boolean enforceTrainingConfig)
                                          throws InvalidKerasConfigurationException,
                                                 UnsupportedKerasConfigurationException

Build KerasLayer from a Keras layer configuration. Building layer with enforceTrainingConfig=true will throw exceptions for unsupported Keras options related to training (e.g., unknown regularizers). Otherwise we only generate warnings.

Parameters:

layerConfig - dictionary containing Keras layer configuration map containing Keras layer properties

enforceTrainingConfig - whether to enforce training-only configurations

Returns:

KerasLayer

Throws:

InvalidKerasConfigurationException

UnsupportedKerasConfigurationException

See Also:

Layer

checkForUnsupportedConfigurations

public static void checkForUnsupportedConfigurations(java.util.Map<java.lang.String,java.lang.Object> layerConfig,
                                                     boolean enforceTrainingConfig)
                                              throws UnsupportedKerasConfigurationException,
                                                     InvalidKerasConfigurationException

Checks whether layer config contains unsupported options.

Parameters:

layerConfig - dictionary containing Keras layer configuration

enforceTrainingConfig -

Throws:

UnsupportedKerasConfigurationException

InvalidKerasConfigurationException

getClassName

public java.lang.String getClassName()

Get Keras layer class name.

Returns:

Keras layer class name

getLayerName

public java.lang.String getLayerName()

Get Keras layer name.

Returns:

layer name

getInputShape

public int[] getInputShape()

Get layer input shape.

Returns:

input shape

getDimOrder

public KerasLayer.DimOrder getDimOrder()

Get Keras layer backend dimension order.

Returns:

Keras layer (backend) dimension order

setDimOrder

public void setDimOrder(KerasLayer.DimOrder dimOrder)

Set Keras layer backend dimension order.

getInboundLayerNames

public java.util.List<java.lang.String> getInboundLayerNames()

Get list of inbound layers.

Returns:

list of inbound layer names

setInboundLayerNames

public void setInboundLayerNames(java.util.List<java.lang.String> inboundLayerNames)

Set list of inbound layers.

Parameters:

inboundLayerNames - list of inbound layer naems

getNumParams

public int getNumParams()

Returns number of trainable parameters in layer.

Returns:

number of trainable parameters

usesRegularization

public boolean usesRegularization()

Indicates whether layer uses regularization.

Returns:

boolean

setWeights

public void setWeights(java.util.Map<java.lang.String,org.nd4j.linalg.api.ndarray.INDArray> weights)
                throws InvalidKerasConfigurationException

Set weights for Keras layer.

Parameters:

weights -

Throws:

InvalidKerasConfigurationException

copyWeightsToLayer

public void copyWeightsToLayer(Layer layer)
                        throws InvalidKerasConfigurationException

Copy Keras layer weights to DL4J Layer.

Parameters:

layer -

Throws:

InvalidKerasConfigurationException

isLayer

public boolean isLayer()

Whether this Keras layer maps to a DL4J Layer.

Returns:

true or false

getLayer

public Layer getLayer()

Gets corresponding DL4J Layer, if any.

Returns:

DL4J Layer

See Also:

Layer

isVertex

public boolean isVertex()

Whether this Keras layer maps to a DL4J Vertex.

Returns:

true or false

getVertex

public GraphVertex getVertex()

Gets corresponding DL4J Vertex, if any.

Returns:

DL4J Vertex

See Also:

GraphVertex

isInputPreProcessor

public boolean isInputPreProcessor()

Whether this Keras layer maps to a DL4J InputPreProcessor.

Returns:

true or false

getInputPreprocessor

public InputPreProcessor getInputPreprocessor(InputType... inputType)
                                       throws InvalidKerasConfigurationException

Gets appropriate DL4J InputPreProcessor for given InputTypes.

Parameters:

inputType - Array of InputTypes

Returns:

DL4J InputPreProcessor

Throws:

InvalidKerasConfigurationException

See Also:

InputPreProcessor

getOutputType

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

Get layer output type.

Parameters:

inputType - Array of InputTypes

Returns:

output type as InputType

Throws:

InvalidKerasConfigurationException

UnsupportedKerasConfigurationException

isValidInboundLayer

public boolean isValidInboundLayer()
                            throws InvalidKerasConfigurationException

Indicates whether this layer a valid inbound layer. Currently, only (known) DL4J Layers and inputs are valid inbound layers. "Preprocessor" layers (reshaping, merging, etc.) are replaced by their own inbound layers. TODO: revisit this once "preprocessor" layers are handled explicitly

Returns:

boolean indicating whether layer is valid inbound layer

Throws:

InvalidKerasConfigurationException

See Also:

Layer

mapActivation

public static org.nd4j.linalg.activations.IActivation mapActivation(java.lang.String kerasActivation)
                                                             throws UnsupportedKerasConfigurationException

Map Keras to DL4J activation functions.

Parameters:

kerasActivation - String containing Keras activation function name

Returns:

String containing DL4J activation function name

Throws:

UnsupportedKerasConfigurationException

mapWeightInitialization

public static WeightInit mapWeightInitialization(java.lang.String kerasInit)
                                          throws UnsupportedKerasConfigurationException

Map Keras to DL4J weight initialization functions.

Parameters:

kerasInit - String containing Keras initialization function name

Returns:

DL4J weight initialization enum

Throws:

UnsupportedKerasConfigurationException

See Also:

WeightInit

mapLossFunction

public static org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction mapLossFunction(java.lang.String kerasLoss)
                                                                                throws UnsupportedKerasConfigurationException

Map Keras to DL4J loss functions.

Parameters:

kerasLoss - String containing Keras loss function name

Returns:

String containing DL4J loss function

Throws:

UnsupportedKerasConfigurationException

mapPoolingType

public static PoolingType mapPoolingType(java.lang.String className)
                                  throws UnsupportedKerasConfigurationException

Map Keras pooling layers to DL4J pooling types.

Parameters:

className -

Returns:

Throws:

UnsupportedKerasConfigurationException

mapPoolingDimensions

public static int[] mapPoolingDimensions(java.lang.String className)
                                  throws UnsupportedKerasConfigurationException

Map Keras pooling layers to DL4J pooling dimensions.

Parameters:

className -

Returns:

Throws:

UnsupportedKerasConfigurationException

getClassNameFromConfig

public static java.lang.String getClassNameFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig)
                                               throws InvalidKerasConfigurationException

Get Keras layer class name from Keras layer configuration.

Parameters:

layerConfig - dictionary containing Keras layer configuration

Returns:

Throws:

InvalidKerasConfigurationException

getTimeDistributedLayerConfig

public static java.util.Map<java.lang.String,java.lang.Object> getTimeDistributedLayerConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig)
                                                                                      throws InvalidKerasConfigurationException

Extract inner layer config from TimeDistributed configuration and merge it into the outer config.

Parameters:

layerConfig - dictionary containing Keras TimeDistributed configuration

Returns:

Throws:

InvalidKerasConfigurationException

getInnerLayerConfigFromConfig

public static java.util.Map<java.lang.String,java.lang.Object> getInnerLayerConfigFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig)
                                                                                      throws InvalidKerasConfigurationException

Get inner layer config from Keras layer configuration.

Parameters:

layerConfig - dictionary containing Keras layer configuration

Returns:

Throws:

InvalidKerasConfigurationException

getLayerNameFromConfig

protected java.lang.String getLayerNameFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig)
                                           throws InvalidKerasConfigurationException

Get layer name from Keras layer configuration.

Parameters:

layerConfig - dictionary containing Keras layer configuration

Returns:

Throws:

InvalidKerasConfigurationException

getInboundLayerNamesFromConfig

public static java.util.List<java.lang.String> getInboundLayerNamesFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig)

Get list of inbound layers from Keras layer configuration.

Parameters:

layerConfig - dictionary containing Keras layer configuration

Returns:

List of inbound layer names

getNOutFromConfig

public static int getNOutFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig)
                             throws InvalidKerasConfigurationException

Get number of outputs from Keras layer configuration.

Parameters:

layerConfig - dictionary containing Keras layer configuration

Returns:

Throws:

InvalidKerasConfigurationException

getDropoutFromConfig

protected double getDropoutFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig)
                               throws InvalidKerasConfigurationException

Get dropout from Keras layer configuration.

Parameters:

layerConfig - dictionary containing Keras layer configuration

Returns:

Throws:

InvalidKerasConfigurationException

getActivationFromConfig

protected org.nd4j.linalg.activations.IActivation getActivationFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig)
                                                                   throws InvalidKerasConfigurationException,
                                                                          UnsupportedKerasConfigurationException

Get activation function from Keras layer configuration.

Parameters:

layerConfig - dictionary containing Keras layer configuration

Returns:

Throws:

InvalidKerasConfigurationException

UnsupportedKerasConfigurationException

getWeightInitFromConfig

protected WeightInit getWeightInitFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig,
                                             boolean enforceTrainingConfig)
                                      throws InvalidKerasConfigurationException,
                                             UnsupportedKerasConfigurationException

Get weight initialization from Keras layer configuration.

Parameters:

layerConfig - dictionary containing Keras layer configuration

enforceTrainingConfig -

Returns:

Throws:

InvalidKerasConfigurationException

UnsupportedKerasConfigurationException

getWeightL1RegularizationFromConfig

public static double getWeightL1RegularizationFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig,
                                                         boolean willBeTrained)
                                                  throws UnsupportedKerasConfigurationException,
                                                         InvalidKerasConfigurationException

Get L1 weight regularization (if any) from Keras weight regularization configuration.

Parameters:

layerConfig - dictionary containing Keras layer configuration Map containing Keras weight reguarlization configuration

Returns:

L1 regularization strength (0.0 if none)

Throws:

UnsupportedKerasConfigurationException

InvalidKerasConfigurationException

getWeightL2RegularizationFromConfig

public static double getWeightL2RegularizationFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig,
                                                         boolean willBeTrained)
                                                  throws UnsupportedKerasConfigurationException,
                                                         InvalidKerasConfigurationException

Get L2 weight regularization (if any) from Keras weight regularization configuration.

Parameters:

layerConfig - dictionary containing Keras layer configuration Map containing Keras weight reguarlization configuration

Returns:

L1 regularization strength (0.0 if none)

Throws:

UnsupportedKerasConfigurationException

InvalidKerasConfigurationException

getBiasL1RegularizationFromConfig

public static double getBiasL1RegularizationFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig,
                                                       boolean willBeTrained)
                                                throws UnsupportedKerasConfigurationException,
                                                       InvalidKerasConfigurationException

Get L1 bias regularization (if any) from Keras bias regularization configuration.

Parameters:

layerConfig - dictionary containing Keras layer configuration Map containing Keras bias reguarlization configuration

Returns:

L1 regularization strength (0.0 if none)

Throws:

UnsupportedKerasConfigurationException

InvalidKerasConfigurationException

getStrideFromConfig

public static int[] getStrideFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig)
                                 throws InvalidKerasConfigurationException

Get (convolution) stride from Keras layer configuration.

Parameters:

layerConfig - dictionary containing Keras layer configuration

Returns:

Throws:

InvalidKerasConfigurationException

getKernelSizeFromConfig

public static int[] getKernelSizeFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig)
                                     throws InvalidKerasConfigurationException

Get (convolution) kernel size from Keras layer configuration.

Parameters:

layerConfig - dictionary containing Keras layer configuration

Returns:

Throws:

InvalidKerasConfigurationException

getConvolutionModeFromConfig

public static ConvolutionMode getConvolutionModeFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig)
                                                    throws InvalidKerasConfigurationException,
                                                           UnsupportedKerasConfigurationException

Get convolution border mode from Keras layer configuration.

Parameters:

layerConfig - dictionary containing Keras layer configuration

Returns:

Throws:

InvalidKerasConfigurationException

UnsupportedKerasConfigurationException

getPaddingFromBorderModeConfig

public int[] getPaddingFromBorderModeConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig)
                                     throws InvalidKerasConfigurationException,
                                            UnsupportedKerasConfigurationException

Get (convolution) padding from Keras layer configuration.

Parameters:

layerConfig - dictionary containing Keras layer configuration

Returns:

Throws:

InvalidKerasConfigurationException

UnsupportedKerasConfigurationException