KerasReshape

java.lang.Object
- org.deeplearning4j.nn.modelimport.keras.KerasLayer
- - org.deeplearning4j.nn.modelimport.keras.layers.core.KerasReshape

public class KerasReshape
extends KerasLayer

Imports Reshape layer from Keras

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.KerasLayer
  className, conf, dimOrder, dropout, inboundLayerNames, inputShape, kerasMajorVersion, layer, layerName, vertex, weightL1Regularization, weightL2Regularization, weights

Constructor Summary

Constructors
Constructor and Description
`KerasReshape(java.util.Map<java.lang.String,java.lang.Object> layerConfig)` Constructor from parsed Keras layer configuration dictionary.
`KerasReshape(java.util.Map<java.lang.String,java.lang.Object> layerConfig, boolean enforceTrainingConfig)` Constructor from parsed Keras layer configuration dictionary.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`InputPreProcessor`	`getInputPreprocessor(InputType... inputType)` Gets appropriate DL4J InputPreProcessor for given InputTypes.
`InputType`	`getOutputType(InputType... inputType)` Get layer output type.
`boolean`	`isInputPreProcessor()` Whether this Keras layer maps to a DL4J InputPreProcessor.
`long[]`	`targetShapeForDimOrder(long[] inputShape, long[] targetShape)`

Methods inherited from class org.deeplearning4j.nn.modelimport.keras.KerasLayer
clearCustomLayers, clearLambdaLayers, copyWeightsToLayer, getClassName, getDimOrder, getInboundLayerNames, getInputShape, getKerasMajorVersion, getLayer, getLayerName, getNInFromConfig, getNumParams, getVertex, getWeights, isLayer, isValidInboundLayer, isVertex, registerCustomLayer, registerLambdaLayer, setInboundLayerNames, setWeights, usesRegularization

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - KerasReshape
```
public KerasReshape(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 - Invalid Keras config
    
    UnsupportedKerasConfigurationException - Unsupported Keras config
  - KerasReshape
```
public KerasReshape(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 - Invalid Keras config
    
    UnsupportedKerasConfigurationException - Unsupported Keras config
- Method Detail
  - isInputPreProcessor
```
public boolean isInputPreProcessor()
```
    Whether this Keras layer maps to a DL4J InputPreProcessor.
    
    Overrides:
    
    isInputPreProcessor in class KerasLayer
    
    Returns:
    
    true
  - getInputPreprocessor
```
public InputPreProcessor getInputPreprocessor(InputType... inputType)
                                       throws InvalidKerasConfigurationException
```
    Gets appropriate DL4J InputPreProcessor for given InputTypes.
    
    Overrides:
    
    getInputPreprocessor in class KerasLayer
    
    Parameters:
    
    inputType - Array of InputTypes
    
    Returns:
    
    DL4J InputPreProcessor
    
    Throws:
    
    InvalidKerasConfigurationException - Invalid Keras config
    
    See Also:
    
    InputPreProcessor
  - targetShapeForDimOrder
```
public long[] targetShapeForDimOrder(long[] inputShape,
                                     long[] targetShape)
```
  - 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

Class KerasReshape

Nested Class Summary

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

Field Summary

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

Constructor Summary

Method Summary

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

Methods inherited from class java.lang.Object

Constructor Detail

KerasReshape

KerasReshape

Method Detail

isInputPreProcessor

getInputPreprocessor

targetShapeForDimOrder

getOutputType