org.deeplearning4j.nn.modelimport.keras.layers

Class KerasZeroPadding

java.lang.Object

org.deeplearning4j.nn.modelimport.keras.KerasLayer

org.deeplearning4j.nn.modelimport.keras.layers.KerasZeroPadding

public class KerasZeroPadding
extends KerasLayer

Imports a Keras ZeroPadding layer as a DL4J Subsampling layer with kernel size 1 and stride 1. TODO: change this to official DL4J ZeroPadding layer once it's supported

Nested Class Summary

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

KerasLayer.DimOrder

Field Summary

Fields

Modifier and Type	Field and Description
static java.lang.String	LAYER_FIELD_PADDING

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

className, DIM_ORDERING_TENSORFLOW, DIM_ORDERING_THEANO, dimOrder, dropout, inboundLayerNames, INIT_GLOROT_NORMAL, INIT_GLOROT_UNIFORM, INIT_HE_NORMAL, INIT_HE_UNIFORM, INIT_IDENTITY, INIT_LECUN_UNIFORM, INIT_NORMAL, INIT_ORTHOGONAL, INIT_UNIFORM, INIT_ZERO, inputShape, KERAS_ACTIVATION_HARD_SIGMOID, KERAS_ACTIVATION_LINEAR, KERAS_ACTIVATION_RELU, KERAS_ACTIVATION_SIGMOID, KERAS_ACTIVATION_SOFTMAX, KERAS_ACTIVATION_SOFTPLUS, KERAS_ACTIVATION_SOFTSIGN, KERAS_ACTIVATION_TANH, KERAS_LOSS_BINARY_CROSSENTROPY, KERAS_LOSS_CATEGORICAL_CROSSENTROPY, KERAS_LOSS_COSINE_PROXIMITY, KERAS_LOSS_HINGE, KERAS_LOSS_KLD, KERAS_LOSS_KULLBACK_LEIBLER_DIVERGENCE, KERAS_LOSS_MAE, KERAS_LOSS_MAPE, KERAS_LOSS_MEAN_ABSOLUTE_ERROR, KERAS_LOSS_MEAN_ABSOLUTE_PERCENTAGE_ERROR, KERAS_LOSS_MEAN_SQUARED_ERROR, KERAS_LOSS_MEAN_SQUARED_LOGARITHMIC_ERROR, KERAS_LOSS_MSE, KERAS_LOSS_MSLE, KERAS_LOSS_POISSON, KERAS_LOSS_SPARSE_CATEGORICAL_CROSSENTROPY, KERAS_LOSS_SQUARED_HINGE, layer, LAYER_BORDER_MODE_FULL, LAYER_BORDER_MODE_SAME, LAYER_BORDER_MODE_VALID, LAYER_CLASS_NAME_ACTIVATION, LAYER_CLASS_NAME_AVERAGE_POOLING_1D, LAYER_CLASS_NAME_AVERAGE_POOLING_2D, LAYER_CLASS_NAME_BATCHNORMALIZATION, LAYER_CLASS_NAME_CONVOLUTION_1D, LAYER_CLASS_NAME_CONVOLUTION_2D, LAYER_CLASS_NAME_DENSE, LAYER_CLASS_NAME_DROPOUT, LAYER_CLASS_NAME_EMBEDDING, LAYER_CLASS_NAME_FLATTEN, LAYER_CLASS_NAME_GLOBAL_AVERAGE_POOLING_1D, LAYER_CLASS_NAME_GLOBAL_AVERAGE_POOLING_2D, LAYER_CLASS_NAME_GLOBAL_MAX_POOLING_1D, LAYER_CLASS_NAME_GLOBAL_MAX_POOLING_2D, LAYER_CLASS_NAME_INPUT, LAYER_CLASS_NAME_LSTM, LAYER_CLASS_NAME_MAX_POOLING_1D, LAYER_CLASS_NAME_MAX_POOLING_2D, LAYER_CLASS_NAME_MERGE, LAYER_CLASS_NAME_TIME_DISTRIBUTED, LAYER_CLASS_NAME_TIME_DISTRIBUTED_DENSE, LAYER_CLASS_NAME_ZERO_PADDING_1D, LAYER_CLASS_NAME_ZERO_PADDING_2D, LAYER_FIELD_ACTIVATION, LAYER_FIELD_B_REGULARIZER, LAYER_FIELD_BATCH_INPUT_SHAPE, LAYER_FIELD_BORDER_MODE, LAYER_FIELD_CLASS_NAME, LAYER_FIELD_CONFIG, LAYER_FIELD_DIM_ORDERING, LAYER_FIELD_DROPOUT, LAYER_FIELD_DROPOUT_W, LAYER_FIELD_INBOUND_NODES, LAYER_FIELD_INIT, LAYER_FIELD_LAYER, LAYER_FIELD_NAME, LAYER_FIELD_NB_COL, LAYER_FIELD_NB_FILTER, LAYER_FIELD_NB_ROW, LAYER_FIELD_OUTPUT_DIM, LAYER_FIELD_POOL_SIZE, LAYER_FIELD_STRIDES, LAYER_FIELD_SUBSAMPLE, LAYER_FIELD_W_REGULARIZER, layerName, REGULARIZATION_TYPE_L1, REGULARIZATION_TYPE_L2, vertex, weightL1Regularization, weightL2Regularization, weights

Constructor Summary

Constructors

Constructor and Description
KerasZeroPadding(java.util.Map<java.lang.String,java.lang.Object> layerConfig) Constructor from parsed Keras layer configuration dictionary.
KerasZeroPadding(java.util.Map<java.lang.String,java.lang.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.
int[]	getPaddingFromConfig(java.util.Map<java.lang.String,java.lang.Object> layerConfig) Get zero padding from Keras layer configuration.
ZeroPaddingLayer	getZeroPaddingLayer() Get DL4J SubsamplingLayer.

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

checkForUnsupportedConfigurations, copyWeightsToLayer, getActivationFromConfig, getBiasL1RegularizationFromConfig, getClassName, getClassNameFromConfig, getConvolutionModeFromConfig, getDimOrder, getDropoutFromConfig, getInboundLayerNames, getInboundLayerNamesFromConfig, getInnerLayerConfigFromConfig, getInputPreprocessor, getInputShape, getKerasLayerFromConfig, getKerasLayerFromConfig, getKernelSizeFromConfig, getLayer, getLayerName, getLayerNameFromConfig, getNOutFromConfig, getNumParams, getPaddingFromBorderModeConfig, getStrideFromConfig, getTimeDistributedLayerConfig, getVertex, getWeightInitFromConfig, getWeightL1RegularizationFromConfig, getWeightL2RegularizationFromConfig, isInputPreProcessor, isLayer, isValidInboundLayer, isVertex, mapActivation, mapLossFunction, mapPoolingDimensions, mapPoolingType, mapWeightInitialization, setDimOrder, setInboundLayerNames, setWeights, usesRegularization

Methods inherited from class java.lang.Object

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

Field Detail

LAYER_FIELD_PADDING

public static final java.lang.String LAYER_FIELD_PADDING

See Also:

Constant Field Values

Constructor Detail

KerasZeroPadding

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

Constructor from parsed Keras layer configuration dictionary.

Parameters:

layerConfig - dictionary containing Keras layer configuration.

Throws:

InvalidKerasConfigurationException

UnsupportedKerasConfigurationException

KerasZeroPadding

public KerasZeroPadding(java.util.Map<java.lang.String,java.lang.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

UnsupportedKerasConfigurationException

Method Detail

getZeroPaddingLayer

public ZeroPaddingLayer getZeroPaddingLayer()

Get DL4J SubsamplingLayer.

Returns:

SubsamplingLayer

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

getPaddingFromConfig

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

Get zero padding from Keras layer configuration.

Parameters:

layerConfig - dictionary containing Keras layer configuration

Returns:

Throws:

InvalidKerasConfigurationException

UnsupportedKerasConfigurationException