apple.metalperformanceshaders

Class MPSMatrixBatchNormalizationGradient

java.lang.Object

org.moe.natj.general.NativeObject

org.moe.natj.objc.ObjCObject

apple.NSObject

apple.metalperformanceshaders.MPSKernel

apple.metalperformanceshaders.MPSMatrixBinaryKernel

apple.metalperformanceshaders.MPSMatrixBatchNormalizationGradient

All Implemented Interfaces:

NSCoding, NSCopying, NSSecureCoding, NSObject

public class MPSMatrixBatchNormalizationGradient
extends MPSMatrixBinaryKernel

MPSMatrixBatchNormalizationGradient

[@dependency] This depends on Metal.framework.

A kernel to compute the gradient of the batch normalization operation.

A MPSMatrixBatchNormalizationGradient object computes the results of backpropagating the gradients of a loss function with respect to the outputs of an MPSMatrixBatchNormalization object. The corresponding properties and data used by the MPSMatrixBatchNormalizationGradient object should correspond to those used by the forward MPSMatrixBatchNormalization object for which the gradient is being computed.

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	MPSMatrixBatchNormalizationGradient(org.moe.natj.general.Pointer peer)

Method Summary

Modifier and Type	Method and Description
boolean	_supportsSecureCoding() This property must return YES on all classes that allow secure coding.
static boolean	accessInstanceVariablesDirectly()
static MPSMatrixBatchNormalizationGradient	alloc()
static MPSMatrixBatchNormalizationGradient	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()
MPSMatrixBatchNormalizationGradient	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	encodeToCommandBufferGradientMatrixInputMatrixMeanVectorVarianceVectorGammaVectorBetaVectorResultGradientForDataMatrixResultGradientForGammaVectorResultGradientForBetaVector(MTLCommandBuffer commandBuffer, MPSMatrix gradientMatrix, MPSMatrix inputMatrix, MPSVector meanVector, MPSVector varianceVector, MPSVector gammaVector, MPSVector betaVector, MPSMatrix resultGradientForDataMatrix, MPSVector resultGradientForGammaVector, MPSVector resultGradientForBetaVector) Encode a MPSMatrixBatchNormalizationGradient object to a command buffer and compute its gradient with respect to its input data.
float	epsilon() [@property] epsilon
static long	hash_static()
MPSMatrixBatchNormalizationGradient	init()
MPSMatrixBatchNormalizationGradient	initWithCoder(NSCoder aDecoder) NS_DESIGNATED_INITIALIZER
MPSMatrixBatchNormalizationGradient	initWithCoderDevice(NSCoder aDecoder, java.lang.Object device) NSSecureCoding compatability
MPSMatrixBatchNormalizationGradient	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 MPSMatrixBatchNormalizationGradient	new_objc()
static boolean	resolveClassMethod(org.moe.natj.objc.SEL sel)
static boolean	resolveInstanceMethod(org.moe.natj.objc.SEL sel)
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.MPSMatrixBinaryKernel

batchSize, batchStart, primarySourceMatrixOrigin, resultMatrixOrigin, secondarySourceMatrixOrigin, setBatchSize, setBatchStart, setPrimarySourceMatrixOrigin, setResultMatrixOrigin, setSecondarySourceMatrixOrigin

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

MPSMatrixBatchNormalizationGradient

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

Method Detail

accessInstanceVariablesDirectly

public static boolean accessInstanceVariablesDirectly()

alloc

public static MPSMatrixBatchNormalizationGradient alloc()

allocWithZone

public static MPSMatrixBatchNormalizationGradient 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()

copyWithZoneDevice

public MPSMatrixBatchNormalizationGradient 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()

encodeToCommandBufferGradientMatrixInputMatrixMeanVectorVarianceVectorGammaVectorBetaVectorResultGradientForDataMatrixResultGradientForGammaVectorResultGradientForBetaVector

public void encodeToCommandBufferGradientMatrixInputMatrixMeanVectorVarianceVectorGammaVectorBetaVectorResultGradientForDataMatrixResultGradientForGammaVectorResultGradientForBetaVector(MTLCommandBuffer commandBuffer,
                                                                                                                                                                                          MPSMatrix gradientMatrix,
                                                                                                                                                                                          MPSMatrix inputMatrix,
                                                                                                                                                                                          MPSVector meanVector,
                                                                                                                                                                                          MPSVector varianceVector,
                                                                                                                                                                                          MPSVector gammaVector,
                                                                                                                                                                                          MPSVector betaVector,
                                                                                                                                                                                          MPSMatrix resultGradientForDataMatrix,
                                                                                                                                                                                          MPSVector resultGradientForGammaVector,
                                                                                                                                                                                          MPSVector resultGradientForBetaVector)

Encode a MPSMatrixBatchNormalizationGradient object to a command buffer and compute its gradient with respect to its input data.

Parameters:

commandBuffer - The commandBuffer on which to encode the operation.

gradientMatrix - A matrix whose values represent the gradient of a loss function with respect to the results of a forward MPSMatrixBatchNormalization operation.

inputMatrix - A matrix containing the inputs to a forward MPSMatrixBatchNormalization operation for which the gradient values are to be computed.

meanVector - A vector containing the batch mean values. Should contain either the specified values used to compute the forward result, or the computed values resulting from the forward kernel execution.

varianceVector - A vector containing the batch variance values. Should contain either the specified values used to compute the forward result, or the computed values resulting from the forward kernel execution.

gammaVector - A vector containing the gamma terms. Should be the same values as used when computing the forward result.

betaVector - A vector containing the beta terms. Should be the same values as used when computing the forward result.

resultGradientForDataMatrix - The matrix containing the resulting gradient values.

resultGradientForGammaVector - If non-NULL the vector containing gradients for the gamma terms.

resultGradientForBetaVector - If non-NULL the vector containing gradients for the beta terms.

epsilon

public float epsilon()

[@property] epsilon

A small term added to the variance when normalizing the input.

hash_static

public static long hash_static()

init

public MPSMatrixBatchNormalizationGradient init()

Overrides:

init in class MPSMatrixBinaryKernel

initWithCoder

public MPSMatrixBatchNormalizationGradient initWithCoder(NSCoder aDecoder)

Description copied from interface: NSCoding

NS_DESIGNATED_INITIALIZER

Specified by:

initWithCoder in interface NSCoding

Overrides:

initWithCoder in class MPSMatrixBinaryKernel

initWithCoderDevice

public MPSMatrixBatchNormalizationGradient initWithCoderDevice(NSCoder aDecoder,
                                                               java.lang.Object device)

NSSecureCoding compatability

See @ref MPSKernel#initWithCoder.

Overrides:

initWithCoderDevice in class MPSMatrixBinaryKernel

Parameters:

aDecoder - The NSCoder subclass with your serialized MPSMatrixBatchNormalizationGradient

device - The MTLDevice on which to make the MPSMatrixBatchNormalizationGradient object.

Returns:

A new MPSMatrixBatchNormalizationGradient object, or nil if failure.

initWithDevice

public MPSMatrixBatchNormalizationGradient initWithDevice(java.lang.Object device)

Description copied from class: MPSKernel

Standard init with default properties per filter type

Overrides:

initWithDevice in class MPSMatrixBinaryKernel

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 MPSMatrixBatchNormalizationGradient new_objc()

resolveClassMethod

public static boolean resolveClassMethod(org.moe.natj.objc.SEL sel)

resolveInstanceMethod

public static boolean resolveInstanceMethod(org.moe.natj.objc.SEL sel)

setEpsilon

public void setEpsilon(float value)

[@property] epsilon

A small term added to the variance when normalizing the input.

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 MPSMatrixBatchNormalizationGradient 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 number of feature channels in the input vectors.

setSourceNumberOfFeatureVectors

public void setSourceNumberOfFeatureVectors(long value)

[@property] sourceNumberOfFeatureVectors

The number of input vectors which make up the input array.

setVersion_static

public static void setVersion_static(long aVersion)

sourceInputFeatureChannels

public long sourceInputFeatureChannels()

[@property] sourceInputFeatureChannels

The number of feature channels in the input vectors.

sourceNumberOfFeatureVectors

public long sourceNumberOfFeatureVectors()

[@property] sourceNumberOfFeatureVectors

The number of input vectors which make up the input array.

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 MPSMatrixBinaryKernel

version_static

public static long version_static()