Package apple.metalperformanceshaders
Class MPSCNNBatchNormalizationNode
- java.lang.Object
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- org.moe.natj.general.NativeObject
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- org.moe.natj.objc.ObjCObject
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- apple.NSObject
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- apple.metalperformanceshaders.MPSNNFilterNode
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- apple.metalperformanceshaders.MPSCNNBatchNormalizationNode
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- All Implemented Interfaces:
MPSNNTrainableNode,NSObject
public class MPSCNNBatchNormalizationNode extends MPSNNFilterNode implements MPSNNTrainableNode
MPSCNNBatchNormalizationNode A node representing batch normalization for inference or training Batch normalization operates differently for inference and training. For inference, the normalization is done according to a static statistical representation of data saved during training. For training, this representation is ever evolving. In the low level MPS batch normalization interface, during training, the batch normalization is broken up into two steps: calculation of the statistical representation of input data, followed by normalization once the statistics are known for the entire batch. These are MPSCNNBatchNormalizationStatistics and MPSCNNBatchNormalization, respectively. When this node appears in a graph and is not required to produce a MPSCNNBatchNormalizationState -- that is, MPSCNNBatchNormalizationNode.resultState is not used within the graph -- then it operates in inference mode and new batch-only statistics are not calculated. When this state node is consumed, then the node is assumed to be in training mode and new statistics will be calculated and written to the MPSCNNBatchNormalizationState and passed along to the MPSCNNBatchNormalizationGradient and MPSCNNBatchNormalizationStatisticsGradient as necessary. This should allow you to construct an identical sequence of nodes for inference and training and expect the right thing to happen.
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Nested Class Summary
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Nested classes/interfaces inherited from class apple.metalperformanceshaders.MPSNNFilterNode
MPSNNFilterNode.Block_trainingGraphWithSourceGradientNodeHandler
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Nested classes/interfaces inherited from class apple.NSObject
NSObject.Function_instanceMethodForSelector_ret, NSObject.Function_methodForSelector_ret
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Constructor Summary
Constructors Modifier Constructor Description protectedMPSCNNBatchNormalizationNode(org.moe.natj.general.Pointer peer)
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static booleanaccessInstanceVariablesDirectly()static MPSCNNBatchNormalizationNodealloc()static java.lang.ObjectallocWithZone(org.moe.natj.general.ptr.VoidPtr zone)static booleanautomaticallyNotifiesObserversForKey(java.lang.String key)static voidcancelPreviousPerformRequestsWithTarget(java.lang.Object aTarget)static voidcancelPreviousPerformRequestsWithTargetSelectorObject(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.ClassclassForKeyedUnarchiver()static java.lang.StringdebugDescription_static()static java.lang.Stringdescription_static()longflags()Options controlling how batch normalization is calculated Default: MPSCNNBatchNormalizationFlagsDefaultstatic longhash_static()MPSCNNBatchNormalizationNodeinit()MPSCNNBatchNormalizationNodeinitWithSourceDataSource(MPSNNImageNode source, MPSCNNBatchNormalizationDataSource dataSource)static NSObject.Function_instanceMethodForSelector_retinstanceMethodForSelector(org.moe.natj.objc.SEL aSelector)static NSMethodSignatureinstanceMethodSignatureForSelector(org.moe.natj.objc.SEL aSelector)static booleaninstancesRespondToSelector(org.moe.natj.objc.SEL aSelector)static booleanisSubclassOfClass(org.moe.natj.objc.Class aClass)static NSSet<java.lang.String>keyPathsForValuesAffectingValueForKey(java.lang.String key)static java.lang.Objectnew_objc()static MPSCNNBatchNormalizationNodenodeWithSourceDataSource(MPSNNImageNode source, MPSCNNBatchNormalizationDataSource dataSource)static booleanresolveClassMethod(org.moe.natj.objc.SEL sel)static booleanresolveInstanceMethod(org.moe.natj.objc.SEL sel)voidsetFlags(long value)Options controlling how batch normalization is calculated Default: MPSCNNBatchNormalizationFlagsDefaultvoidsetTrainingStyle(long value)Configure whether and when neural network training parameters are updated Default: MPSNNTrainingStyleUpdateDeviceGPUstatic voidsetVersion_static(long aVersion)static org.moe.natj.objc.Classsuperclass_static()longtrainingStyle()Configure whether and when neural network training parameters are updated Default: MPSNNTrainingStyleUpdateDeviceGPUstatic longversion_static()-
Methods inherited from class apple.metalperformanceshaders.MPSNNFilterNode
gradientFiltersWithSource, gradientFiltersWithSources, gradientFilterWithSource, gradientFilterWithSources, label, paddingPolicy, resultImage, resultState, resultStates, setLabel, setPaddingPolicy, trainingGraphWithSourceGradientNodeHandler
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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
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Method Detail
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accessInstanceVariablesDirectly
public static boolean accessInstanceVariablesDirectly()
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alloc
public static MPSCNNBatchNormalizationNode alloc()
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allocWithZone
public static java.lang.Object allocWithZone(org.moe.natj.general.ptr.VoidPtr zone)
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automaticallyNotifiesObserversForKey
public static boolean automaticallyNotifiesObserversForKey(java.lang.String key)
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cancelPreviousPerformRequestsWithTarget
public static void cancelPreviousPerformRequestsWithTarget(java.lang.Object aTarget)
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cancelPreviousPerformRequestsWithTargetSelectorObject
public static void cancelPreviousPerformRequestsWithTargetSelectorObject(java.lang.Object aTarget, org.moe.natj.objc.SEL aSelector, java.lang.Object anArgument)
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classFallbacksForKeyedArchiver
public static NSArray<java.lang.String> classFallbacksForKeyedArchiver()
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classForKeyedUnarchiver
public static org.moe.natj.objc.Class classForKeyedUnarchiver()
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debugDescription_static
public static java.lang.String debugDescription_static()
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description_static
public static java.lang.String description_static()
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flags
public long flags()
Options controlling how batch normalization is calculated Default: MPSCNNBatchNormalizationFlagsDefault
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hash_static
public static long hash_static()
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init
public MPSCNNBatchNormalizationNode init()
- Overrides:
initin classMPSNNFilterNode
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initWithSourceDataSource
public MPSCNNBatchNormalizationNode initWithSourceDataSource(MPSNNImageNode source, MPSCNNBatchNormalizationDataSource dataSource)
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instanceMethodForSelector
public static NSObject.Function_instanceMethodForSelector_ret instanceMethodForSelector(org.moe.natj.objc.SEL aSelector)
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instanceMethodSignatureForSelector
public static NSMethodSignature instanceMethodSignatureForSelector(org.moe.natj.objc.SEL aSelector)
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instancesRespondToSelector
public static boolean instancesRespondToSelector(org.moe.natj.objc.SEL aSelector)
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isSubclassOfClass
public static boolean isSubclassOfClass(org.moe.natj.objc.Class aClass)
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keyPathsForValuesAffectingValueForKey
public static NSSet<java.lang.String> keyPathsForValuesAffectingValueForKey(java.lang.String key)
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new_objc
public static java.lang.Object new_objc()
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nodeWithSourceDataSource
public static MPSCNNBatchNormalizationNode nodeWithSourceDataSource(MPSNNImageNode source, MPSCNNBatchNormalizationDataSource dataSource)
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resolveClassMethod
public static boolean resolveClassMethod(org.moe.natj.objc.SEL sel)
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resolveInstanceMethod
public static boolean resolveInstanceMethod(org.moe.natj.objc.SEL sel)
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setFlags
public void setFlags(long value)
Options controlling how batch normalization is calculated Default: MPSCNNBatchNormalizationFlagsDefault
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setTrainingStyle
public void setTrainingStyle(long value)
Description copied from interface:MPSNNTrainableNodeConfigure whether and when neural network training parameters are updated Default: MPSNNTrainingStyleUpdateDeviceGPU- Specified by:
setTrainingStylein interfaceMPSNNTrainableNode
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setVersion_static
public static void setVersion_static(long aVersion)
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superclass_static
public static org.moe.natj.objc.Class superclass_static()
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trainingStyle
public long trainingStyle()
Description copied from interface:MPSNNTrainableNodeConfigure whether and when neural network training parameters are updated Default: MPSNNTrainingStyleUpdateDeviceGPU- Specified by:
trainingStylein interfaceMPSNNTrainableNode
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version_static
public static long version_static()
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