MPSMatrixBatchNormalization (moe.platform.ios API)

java.lang.Object
- org.moe.natj.general.NativeObject
- - org.moe.natj.objc.ObjCObject
  - - apple.NSObject
    - - apple.metalperformanceshaders.MPSKernel
      - apple.metalperformanceshaders.MPSMatrixUnaryKernel
        
        apple.metalperformanceshaders.MPSMatrixBatchNormalization

All Implemented Interfaces:

NSCoding, NSCopying, NSSecureCoding, NSObject
```
public class MPSMatrixBatchNormalization
extends MPSMatrixUnaryKernel
```
MPSMatrixBatchNormalization
[@dependency] This depends on Metal.framework.
Applies a batch normalization to a matrix.
A MPSMatrixBatchNormalization object computes the batch normalization of a collection of feature vectors stored in an MPSMatrix.
Feature vectors are stored in a row of the supplied input matrix and the normalization is performed along columns:
y[i,j] = gamma[j] * (x[i,j] - mean(x[:,j])) / (variance(x[:,j]) + epsilon) + beta[j]
where gamma and beta are supplied weight and bias factors and epsilon is a small value added to the variance.
Optionally a neuron activation function may be applied to the result.

Nested Class Summary
- Nested classes/interfaces inherited from class apple.NSObject
  NSObject.Function_instanceMethodForSelector_ret, NSObject.Function_methodForSelector_ret

Constructor Summary

Constructors
Modifier Constructor and Description

protected MPSMatrixBatchNormalization(org.moe.natj.general.Pointer peer)

Constructors
Modifier	Constructor and Description
`protected`	`MPSMatrixBatchNormalization(org.moe.natj.general.Pointer peer)`

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`boolean`	`_supportsSecureCoding()` This property must return YES on all classes that allow secure coding.
`static boolean`	`accessInstanceVariablesDirectly()`
`static MPSMatrixBatchNormalization`	`alloc()`
`static MPSMatrixBatchNormalization`	`allocWithZone(org.moe.natj.general.ptr.VoidPtr zone)`
`static boolean`	`automaticallyNotifiesObserversForKey(java.lang.String key)`
`static void`	`cancelPreviousPerformRequestsWithTarget(java.lang.Object aTarget)`
`static void`	`cancelPreviousPerformRequestsWithTargetSelectorObject(java.lang.Object aTarget, org.moe.natj.objc.SEL aSelector, java.lang.Object anArgument)`
`static NSArray<java.lang.String>`	`classFallbacksForKeyedArchiver()`
`static org.moe.natj.objc.Class`	`classForKeyedUnarchiver()`
`boolean`	`computeStatistics()` [@property] computeStatistics
`MPSMatrixBatchNormalization`	`copyWithZoneDevice(org.moe.natj.general.ptr.VoidPtr zone, MTLDevice device)` Make a copy of this kernel for a new device - @see MPSKernel
`static java.lang.String`	`debugDescription_static()`
`static java.lang.String`	`description_static()`
`void`	`encodeToCommandBufferInputMatrixMeanVectorVarianceVectorGammaVectorBetaVectorResultMatrix(MTLCommandBuffer commandBuffer, MPSMatrix inputMatrix, MPSVector meanVector, MPSVector varianceVector, MPSVector gammaVector, MPSVector betaVector, MPSMatrix resultMatrix)` Encode a MPSMatrixBatchNormalization object to a command buffer.
`float`	`epsilon()` [@property] epsilon
`static long`	`hash_static()`
`MPSMatrixBatchNormalization`	`init()`
`MPSMatrixBatchNormalization`	`initWithCoder(NSCoder aDecoder)` NS_DESIGNATED_INITIALIZER
`MPSMatrixBatchNormalization`	`initWithCoderDevice(NSCoder aDecoder, java.lang.Object device)` NSSecureCoding compatability
`MPSMatrixBatchNormalization`	`initWithDevice(java.lang.Object device)` Standard init with default properties per filter type
`static NSObject.Function_instanceMethodForSelector_ret`	`instanceMethodForSelector(org.moe.natj.objc.SEL aSelector)`
`static NSMethodSignature`	`instanceMethodSignatureForSelector(org.moe.natj.objc.SEL aSelector)`
`static boolean`	`instancesRespondToSelector(org.moe.natj.objc.SEL aSelector)`
`static boolean`	`isSubclassOfClass(org.moe.natj.objc.Class aClass)`
`static NSSet<java.lang.String>`	`keyPathsForValuesAffectingValueForKey(java.lang.String key)`
`float`	`neuronParameterA()` Getter funtion for neuronType set using setNeuronType:parameterA:parameterB:parameterC method
`float`	`neuronParameterB()` Getter funtion for neuronType set using setNeuronType:parameterA:parameterB:parameterC method
`float`	`neuronParameterC()` Getter funtion for neuronType set using setNeuronType:parameterA:parameterB:parameterC method
`int`	`neuronType()` Getter funtion for neuronType set using setNeuronType:parameterA:parameterB:parameterC method
`static MPSMatrixBatchNormalization`	`new_objc()`
`static boolean`	`resolveClassMethod(org.moe.natj.objc.SEL sel)`
`static boolean`	`resolveInstanceMethod(org.moe.natj.objc.SEL sel)`
`void`	`setComputeStatistics(boolean value)` [@property] computeStatistics
`void`	`setEpsilon(float value)` [@property] epsilon
`void`	`setNeuronTypeParameterAParameterBParameterC(int neuronType, float parameterA, float parameterB, float parameterC)` Specifies a neuron activation function to be used.
`void`	`setSourceInputFeatureChannels(long value)` [@property] sourceInputFeatureChannels
`void`	`setSourceNumberOfFeatureVectors(long value)` [@property] sourceNumberOfFeatureVectors
`static void`	`setVersion_static(long aVersion)`
`long`	`sourceInputFeatureChannels()` [@property] sourceInputFeatureChannels
`long`	`sourceNumberOfFeatureVectors()` [@property] sourceNumberOfFeatureVectors
`static org.moe.natj.objc.Class`	`superclass_static()`
`static boolean`	`supportsSecureCoding()`
`static long`	`version_static()`

Methods inherited from class apple.metalperformanceshaders.MPSMatrixUnaryKernel
batchSize, batchStart, resultMatrixOrigin, setBatchSize, setBatchStart, setResultMatrixOrigin, setSourceMatrixOrigin, sourceMatrixOrigin

Methods inherited from class apple.metalperformanceshaders.MPSKernel
copyWithZone, device, encodeWithCoder, label, options, setLabel, setOptions

Methods inherited from class apple.NSObject
accessibilityActivate, accessibilityActivationPoint, accessibilityAssistiveTechnologyFocusedIdentifiers, accessibilityAttributedHint, accessibilityAttributedLabel, accessibilityAttributedUserInputLabels, accessibilityAttributedValue, accessibilityContainerType, accessibilityCustomActions, accessibilityCustomRotors, accessibilityDecrement, accessibilityDragSourceDescriptors, accessibilityDropPointDescriptors, accessibilityElementAtIndex, accessibilityElementCount, accessibilityElementDidBecomeFocused, accessibilityElementDidLoseFocus, accessibilityElementIsFocused, accessibilityElements, accessibilityElementsHidden, accessibilityFrame, accessibilityHint, accessibilityIncrement, accessibilityLabel, accessibilityLanguage, accessibilityNavigationStyle, accessibilityPath, accessibilityPerformEscape, accessibilityPerformMagicTap, accessibilityRespondsToUserInteraction, accessibilityScroll, accessibilityTextualContext, accessibilityTraits, accessibilityUserInputLabels, accessibilityValue, accessibilityViewIsModal, addObserverForKeyPathOptionsContext, attemptRecoveryFromErrorOptionIndex, attemptRecoveryFromErrorOptionIndexDelegateDidRecoverSelectorContextInfo, autoContentAccessingProxy, awakeAfterUsingCoder, awakeFromNib, class_objc, classForCoder, classForKeyedArchiver, copy, dealloc, debugDescription, description, dictionaryWithValuesForKeys, didChangeValueForKey, didChangeValueForKeyWithSetMutationUsingObjects, didChangeValuesAtIndexesForKey, doesNotRecognizeSelector, fileManagerShouldProceedAfterError, fileManagerWillProcessPath, finalize_objc, forwardingTargetForSelector, forwardInvocation, hash, indexOfAccessibilityElement, isAccessibilityElement, isEqual, isKindOfClass, isMemberOfClass, isProxy, methodForSelector, methodSignatureForSelector, mutableArrayValueForKey, mutableArrayValueForKeyPath, mutableCopy, mutableOrderedSetValueForKey, mutableOrderedSetValueForKeyPath, mutableSetValueForKey, mutableSetValueForKeyPath, observationInfo, observeValueForKeyPathOfObjectChangeContext, performSelector, performSelectorInBackgroundWithObject, performSelectorOnMainThreadWithObjectWaitUntilDone, performSelectorOnMainThreadWithObjectWaitUntilDoneModes, performSelectorOnThreadWithObjectWaitUntilDone, performSelectorOnThreadWithObjectWaitUntilDoneModes, performSelectorWithObject, performSelectorWithObjectAfterDelay, performSelectorWithObjectAfterDelayInModes, performSelectorWithObjectWithObject, prepareForInterfaceBuilder, provideImageDataBytesPerRowOrigin_Size_UserInfo, removeObserverForKeyPath, removeObserverForKeyPathContext, replacementObjectForCoder, replacementObjectForKeyedArchiver, respondsToSelector, self, setAccessibilityActivationPoint, setAccessibilityAttributedHint, setAccessibilityAttributedLabel, setAccessibilityAttributedUserInputLabels, setAccessibilityAttributedValue, setAccessibilityContainerType, setAccessibilityCustomActions, setAccessibilityCustomRotors, setAccessibilityDragSourceDescriptors, setAccessibilityDropPointDescriptors, setAccessibilityElements, setAccessibilityElementsHidden, setAccessibilityFrame, setAccessibilityHint, setAccessibilityLabel, setAccessibilityLanguage, setAccessibilityNavigationStyle, setAccessibilityPath, setAccessibilityRespondsToUserInteraction, setAccessibilityTextualContext, setAccessibilityTraits, setAccessibilityUserInputLabels, setAccessibilityValue, setAccessibilityViewIsModal, setIsAccessibilityElement, setNilValueForKey, setObservationInfo, setShouldGroupAccessibilityChildren, setValueForKey, setValueForKeyPath, setValueForUndefinedKey, setValuesForKeysWithDictionary, shouldGroupAccessibilityChildren, superclass, validateValueForKeyError, validateValueForKeyPathError, valueForKey, valueForKeyPath, valueForUndefinedKey, willChangeValueForKey, willChangeValueForKeyWithSetMutationUsingObjects, willChangeValuesAtIndexesForKey

Methods inherited from class org.moe.natj.objc.ObjCObject
equals, toString

Methods inherited from class org.moe.natj.general.NativeObject
finalize, getPeer, getPeerPointer

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

- Constructor Detail
  - MPSMatrixBatchNormalization
```
protected MPSMatrixBatchNormalization(org.moe.natj.general.Pointer peer)
```
- Method Detail
  - accessInstanceVariablesDirectly
```
public static boolean accessInstanceVariablesDirectly()
```
  - alloc
```
public static MPSMatrixBatchNormalization alloc()
```
  - allocWithZone
```
public static MPSMatrixBatchNormalization allocWithZone(org.moe.natj.general.ptr.VoidPtr zone)
```
  - automaticallyNotifiesObserversForKey
```
public static boolean automaticallyNotifiesObserversForKey(java.lang.String key)
```
  - cancelPreviousPerformRequestsWithTarget
```
public static void cancelPreviousPerformRequestsWithTarget(java.lang.Object aTarget)
```
  - cancelPreviousPerformRequestsWithTargetSelectorObject
```
public static void cancelPreviousPerformRequestsWithTargetSelectorObject(java.lang.Object aTarget,
                                                                         org.moe.natj.objc.SEL aSelector,
                                                                         java.lang.Object anArgument)
```
  - classFallbacksForKeyedArchiver
```
public static NSArray<java.lang.String> classFallbacksForKeyedArchiver()
```
  - classForKeyedUnarchiver
```
public static org.moe.natj.objc.Class classForKeyedUnarchiver()
```
  - computeStatistics
```
public boolean computeStatistics()
```
    [@property] computeStatistics
    If YES the batch statistics will be computed prior to performing the normalization. Otherwise the provided statistics will be used. Defaults to NO at initialization time.
  - copyWithZoneDevice
```
public MPSMatrixBatchNormalization copyWithZoneDevice(org.moe.natj.general.ptr.VoidPtr zone,
                                                      MTLDevice device)
```
    Make a copy of this kernel for a new device - @see MPSKernel
    
    Overrides:
    
    copyWithZoneDevice in class MPSKernel
    
    Parameters:
    
    zone - The NSZone in which to allocate the object
    
    device - The device for the new MPSKernel. If nil, then use self.device.
    
    Returns:
    
    A pointer to a copy of this MPSKernel. This will fail, returning nil if the device is not supported. Devices must be MTLFeatureSet_iOS_GPUFamily2_v1 or later.
  - debugDescription_static
```
public static java.lang.String debugDescription_static()
```
  - description_static
```
public static java.lang.String description_static()
```
  - encodeToCommandBufferInputMatrixMeanVectorVarianceVectorGammaVectorBetaVectorResultMatrix
```
public void encodeToCommandBufferInputMatrixMeanVectorVarianceVectorGammaVectorBetaVectorResultMatrix(MTLCommandBuffer commandBuffer,
                                                                                                      MPSMatrix inputMatrix,
                                                                                                      MPSVector meanVector,
                                                                                                      MPSVector varianceVector,
                                                                                                      MPSVector gammaVector,
                                                                                                      MPSVector betaVector,
                                                                                                      MPSMatrix resultMatrix)
```
    Encode a MPSMatrixBatchNormalization object to a command buffer.
    Encodes the operation to the specified command buffer. resultMatrix must be large enough to hold a MIN(sourceNumberOfFeatureVectors, inputMatrix.rows - sourceMatrixOrigin.x) x MIN(inputMatrix.columns - sourceMatrixOrigin.y, sourceInputFeatureChannels) array.
    Let numChannels = MIN(inputMatrix.columns - sourceMatrixOrigin.y, sourceInputFeatureChannels)
    The gamma, beta, mean, and variance vectors must contain at least numChannels elements.
    
    Parameters:
    
    commandBuffer - A valid MTLCommandBuffer to receive the encoded kernel.
    
    inputMatrix - A valid MPSMatrix object which specifies the input array.
    
    meanVector - A valid MPSVector object containing batch mean values to be used to normalize the inputs if computeStatistics is NO. If computeStatistics is YES the resulting batch mean values will be returned in this array.
    
    varianceVector - A valid MPSVector object containing batch variance values to be used to normalize the inputs if computeStatistics is NO. If computeStatistics is YES the resulting batch variance values will be returned in this array.
    
    gammaVector - A valid MPSVector object which specifies the gamma terms, or a null object to indicate that no scaling is to be applied.
    
    betaVector - A valid MPSVector object which specifies the beta terms, or a null object to indicate that no values are to be added.
    
    resultMatrix - A valid MPSMatrix object which specifies the output array.
  - epsilon
```
public float epsilon()
```
    [@property] epsilon
    A small value to add to the variance when normalizing the inputs. Defaults to FLT_MIN upon initialization.
  - hash_static
```
public static long hash_static()
```
  - init
```
public MPSMatrixBatchNormalization init()
```
    Overrides:
    
    init in class MPSMatrixUnaryKernel
  - initWithCoder
```
public MPSMatrixBatchNormalization initWithCoder(NSCoder aDecoder)
```
    Description copied from interface: NSCoding
    
    NS_DESIGNATED_INITIALIZER
    
    Specified by:
    
    initWithCoder in interface NSCoding
    
    Overrides:
    
    initWithCoder in class MPSMatrixUnaryKernel
  - initWithCoderDevice
```
public MPSMatrixBatchNormalization initWithCoderDevice(NSCoder aDecoder,
                                                       java.lang.Object device)
```
    NSSecureCoding compatability
    See @ref MPSKernel#initWithCoder.
    
    Overrides:
    
    initWithCoderDevice in class MPSMatrixUnaryKernel
    
    Parameters:
    
    aDecoder - The NSCoder subclass with your serialized MPSMatrixBatchNormalization object.
    
    device - The MTLDevice on which to make the MPSMatrixBatchNormalization object.
    
    Returns:
    
    A new MPSMatrixBatchNormalization object, or nil if failure.
  - initWithDevice
```
public MPSMatrixBatchNormalization initWithDevice(java.lang.Object device)
```
    Description copied from class: MPSKernel
    
    Standard init with default properties per filter type
    
    Overrides:
    
    initWithDevice in class MPSMatrixUnaryKernel
    
    Parameters:
    
    device - The device that the filter will be used on. May not be NULL.
    
    Returns:
    
    a pointer to the newly initialized object. This will fail, returning nil if the device is not supported. Devices must be MTLFeatureSet_iOS_GPUFamily2_v1 or later.
  - instanceMethodForSelector
```
public static NSObject.Function_instanceMethodForSelector_ret instanceMethodForSelector(org.moe.natj.objc.SEL aSelector)
```
  - instanceMethodSignatureForSelector
```
public static NSMethodSignature instanceMethodSignatureForSelector(org.moe.natj.objc.SEL aSelector)
```
  - instancesRespondToSelector
```
public static boolean instancesRespondToSelector(org.moe.natj.objc.SEL aSelector)
```
  - isSubclassOfClass
```
public static boolean isSubclassOfClass(org.moe.natj.objc.Class aClass)
```
  - keyPathsForValuesAffectingValueForKey
```
public static NSSet<java.lang.String> keyPathsForValuesAffectingValueForKey(java.lang.String key)
```
  - neuronParameterA
```
public float neuronParameterA()
```
    Getter funtion for neuronType set using setNeuronType:parameterA:parameterB:parameterC method
  - neuronParameterB
```
public float neuronParameterB()
```
    Getter funtion for neuronType set using setNeuronType:parameterA:parameterB:parameterC method
  - neuronParameterC
```
public float neuronParameterC()
```
    Getter funtion for neuronType set using setNeuronType:parameterA:parameterB:parameterC method
  - neuronType
```
public int neuronType()
```
    Getter funtion for neuronType set using setNeuronType:parameterA:parameterB:parameterC method
  - new_objc
```
public static MPSMatrixBatchNormalization new_objc()
```
  - resolveClassMethod
```
public static boolean resolveClassMethod(org.moe.natj.objc.SEL sel)
```
  - resolveInstanceMethod
```
public static boolean resolveInstanceMethod(org.moe.natj.objc.SEL sel)
```
  - setComputeStatistics
```
public void setComputeStatistics(boolean value)
```
    [@property] computeStatistics
    If YES the batch statistics will be computed prior to performing the normalization. Otherwise the provided statistics will be used. Defaults to NO at initialization time.
  - setEpsilon
```
public void setEpsilon(float value)
```
    [@property] epsilon
    A small value to add to the variance when normalizing the inputs. Defaults to FLT_MIN upon initialization.
  - setNeuronTypeParameterAParameterBParameterC
```
public void setNeuronTypeParameterAParameterBParameterC(int neuronType,
                                                        float parameterA,
                                                        float parameterB,
                                                        float parameterC)
```
    Specifies a neuron activation function to be used.
    This method can be used to add a neuron activation funtion of given type with associated scalar parameters A, B, and C that are shared across all output values. Note that this method can only be used to specify neurons which are specified by three (or fewer) parameters shared across all output values (or channels, in CNN nomenclature). It is an error to call this method for neuron activation functions like MPSCNNNeuronTypePReLU, which require per-channel parameter values. An MPSMatrixNeuron kernel is initialized with a default neuron function of MPSCNNNeuronTypeNone.
    
    Parameters:
    
    neuronType - Type of neuron activation function. For full list see MPSCNNNeuronType.h
    
    parameterA - parameterA of neuron activation that is shared across all output values.
    
    parameterB - parameterB of neuron activation that is shared across all output values.
    
    parameterC - parameterC of neuron activation that is shared across all output values.
  - setSourceInputFeatureChannels
```
public void setSourceInputFeatureChannels(long value)
```
    [@property] sourceInputFeatureChannels
    The input size to to use in the operation. This is equivalent to the number of columns in the primary (input array) source matrix to consider and the number of channels to produce for the output matrix. This property is modifiable and defaults to NSUIntegerMax. At encode time the larger of this property or the available input size is used. The value of NSUIntegerMax thus indicates that all available columns in the input array (beginning at sourceMatrixOrigin.y) should be considered. Defines also the number of output feature channels. Note: The value used in the operation will be MIN(inputMatrix.columns - sourceMatrixOrigin.y, sourceInputFeatureChannels)
  - setSourceNumberOfFeatureVectors
```
public void setSourceNumberOfFeatureVectors(long value)
```
    [@property] sourceNumberOfFeatureVectors
    The number of input vectors which make up the input array. This is equivalent to the number of rows to consider from the primary source matrix. This property is modifiable and defaults to NSUIntegerMax. At encode time the larger of this property or the available number of inputs is used. The value of NSUIntegerMax thus indicates that all available input rows (beginning at sourceMatrixOrigin.x) should be considered.
  - setVersion_static
```
public static void setVersion_static(long aVersion)
```
  - sourceInputFeatureChannels
```
public long sourceInputFeatureChannels()
```
    [@property] sourceInputFeatureChannels
    The input size to to use in the operation. This is equivalent to the number of columns in the primary (input array) source matrix to consider and the number of channels to produce for the output matrix. This property is modifiable and defaults to NSUIntegerMax. At encode time the larger of this property or the available input size is used. The value of NSUIntegerMax thus indicates that all available columns in the input array (beginning at sourceMatrixOrigin.y) should be considered. Defines also the number of output feature channels. Note: The value used in the operation will be MIN(inputMatrix.columns - sourceMatrixOrigin.y, sourceInputFeatureChannels)
  - sourceNumberOfFeatureVectors
```
public long sourceNumberOfFeatureVectors()
```
    [@property] sourceNumberOfFeatureVectors
    The number of input vectors which make up the input array. This is equivalent to the number of rows to consider from the primary source matrix. This property is modifiable and defaults to NSUIntegerMax. At encode time the larger of this property or the available number of inputs is used. The value of NSUIntegerMax thus indicates that all available input rows (beginning at sourceMatrixOrigin.x) should be considered.
  - superclass_static
```
public static org.moe.natj.objc.Class superclass_static()
```
  - supportsSecureCoding
```
public static boolean supportsSecureCoding()
```
  - _supportsSecureCoding
```
public boolean _supportsSecureCoding()
```
    Description copied from interface: NSSecureCoding
    
    This property must return YES on all classes that allow secure coding. Subclasses of classes that adopt NSSecureCoding and override initWithCoder: must also override this method and return YES. The Secure Coding Guide should be consulted when writing methods that decode data.
    
    Specified by:
    
    _supportsSecureCoding in interface NSSecureCoding
    
    Overrides:
    
    _supportsSecureCoding in class MPSMatrixUnaryKernel
  - version_static
```
public static long version_static()
```

Class MPSMatrixBatchNormalization

Nested Class Summary

Nested classes/interfaces inherited from class apple.NSObject

Constructor Summary

Method Summary

Methods inherited from class apple.metalperformanceshaders.MPSMatrixUnaryKernel

Methods inherited from class apple.metalperformanceshaders.MPSKernel

Methods inherited from class apple.NSObject

Methods inherited from class org.moe.natj.objc.ObjCObject

Methods inherited from class org.moe.natj.general.NativeObject

Methods inherited from class java.lang.Object

Constructor Detail

MPSMatrixBatchNormalization

Method Detail

accessInstanceVariablesDirectly

alloc

allocWithZone

automaticallyNotifiesObserversForKey

cancelPreviousPerformRequestsWithTarget

cancelPreviousPerformRequestsWithTargetSelectorObject

classFallbacksForKeyedArchiver

classForKeyedUnarchiver

computeStatistics

copyWithZoneDevice

debugDescription_static

description_static

encodeToCommandBufferInputMatrixMeanVectorVarianceVectorGammaVectorBetaVectorResultMatrix

epsilon

hash_static

init

initWithCoder

initWithCoderDevice

initWithDevice

instanceMethodForSelector

instanceMethodSignatureForSelector

instancesRespondToSelector

isSubclassOfClass

keyPathsForValuesAffectingValueForKey

neuronParameterA

neuronParameterB

neuronParameterC

neuronType

new_objc

resolveClassMethod

resolveInstanceMethod

setComputeStatistics

setEpsilon

setNeuronTypeParameterAParameterBParameterC

setSourceInputFeatureChannels

setSourceNumberOfFeatureVectors

setVersion_static

sourceInputFeatureChannels

sourceNumberOfFeatureVectors

superclass_static

supportsSecureCoding

_supportsSecureCoding

version_static