apple.metalperformanceshaders

Class MPSCNNBinaryConvolutionNode

java.lang.Object

org.moe.natj.general.NativeObject

org.moe.natj.objc.ObjCObject

apple.NSObject

apple.metalperformanceshaders.MPSNNFilterNode

apple.metalperformanceshaders.MPSCNNConvolutionNode

apple.metalperformanceshaders.MPSCNNBinaryConvolutionNode

All Implemented Interfaces:

MPSNNTrainableNode, NSObject

Direct Known Subclasses:

MPSCNNBinaryFullyConnectedNode

public class MPSCNNBinaryConvolutionNode
extends MPSCNNConvolutionNode

A MPSNNFilterNode representing a MPSCNNBinaryConvolution kernel

Nested Class Summary

Nested classes/interfaces inherited from class apple.metalperformanceshaders.MPSNNFilterNode

MPSNNFilterNode.Block_trainingGraphWithSourceGradientNodeHandler

Nested classes/interfaces inherited from class apple.NSObject

NSObject.Function_instanceMethodForSelector_ret, NSObject.Function_methodForSelector_ret

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	MPSCNNBinaryConvolutionNode(org.moe.natj.general.Pointer peer)

Method Summary

Modifier and Type	Method and Description
static boolean	accessInstanceVariablesDirectly()
static MPSCNNBinaryConvolutionNode	alloc()
static MPSCNNBinaryConvolutionNode	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()
static java.lang.String	debugDescription_static()
static java.lang.String	description_static()
static long	hash_static()
MPSCNNBinaryConvolutionNode	init()
MPSCNNBinaryConvolutionNode	initWithSourceWeights(MPSNNImageNode sourceNode, MPSCNNConvolutionDataSource weights) Init a node representing a MPSCNNConvolution kernel
MPSCNNBinaryConvolutionNode	initWithSourceWeightsOutputBiasTermsOutputScaleTermsInputBiasTermsInputScaleTermsTypeFlags(MPSNNImageNode sourceNode, MPSCNNConvolutionDataSource weights, org.moe.natj.general.ptr.ConstFloatPtr outputBiasTerms, org.moe.natj.general.ptr.ConstFloatPtr outputScaleTerms, org.moe.natj.general.ptr.ConstFloatPtr inputBiasTerms, org.moe.natj.general.ptr.ConstFloatPtr inputScaleTerms, long type, long flags) Init a node representing a MPSCNNBinaryConvolution kernel
MPSCNNBinaryConvolutionNode	initWithSourceWeightsScaleValueTypeFlags(MPSNNImageNode sourceNode, MPSCNNConvolutionDataSource weights, float scaleValue, long type, long flags) Init a node representing a MPSCNNBinaryConvolution kernel
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)
static MPSCNNBinaryConvolutionNode	new_objc()
static MPSCNNBinaryConvolutionNode	nodeWithSourceWeights(MPSNNImageNode sourceNode, MPSCNNConvolutionDataSource weights)
static MPSCNNBinaryConvolutionNode	nodeWithSourceWeightsOutputBiasTermsOutputScaleTermsInputBiasTermsInputScaleTermsTypeFlags(MPSNNImageNode sourceNode, MPSCNNConvolutionDataSource weights, org.moe.natj.general.ptr.ConstFloatPtr outputBiasTerms, org.moe.natj.general.ptr.ConstFloatPtr outputScaleTerms, org.moe.natj.general.ptr.ConstFloatPtr inputBiasTerms, org.moe.natj.general.ptr.ConstFloatPtr inputScaleTerms, long type, long flags) Init an autoreleased node representing a MPSCNNBinaryConvolution kernel
static MPSCNNBinaryConvolutionNode	nodeWithSourceWeightsScaleValueTypeFlags(MPSNNImageNode sourceNode, MPSCNNConvolutionDataSource weights, float scaleValue, long type, long flags) Init an autoreleased node representing a MPSCNNBinaryConvolution kernel
static boolean	resolveClassMethod(org.moe.natj.objc.SEL sel)
static boolean	resolveInstanceMethod(org.moe.natj.objc.SEL sel)
static void	setVersion_static(long aVersion)
static org.moe.natj.objc.Class	superclass_static()
static long	version_static()

Methods inherited from class apple.metalperformanceshaders.MPSCNNConvolutionNode

accumulatorPrecision, convolutionGradientState, setAccumulatorPrecision, setTrainingStyle, trainingStyle

Methods inherited from class apple.metalperformanceshaders.MPSNNFilterNode

gradientFiltersWithSource, gradientFiltersWithSources, gradientFilterWithSource, gradientFilterWithSources, label, paddingPolicy, resultImage, resultState, resultStates, setLabel, setPaddingPolicy, trainingGraphWithSourceGradientNodeHandler

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

MPSCNNBinaryConvolutionNode

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

Method Detail

accessInstanceVariablesDirectly

public static boolean accessInstanceVariablesDirectly()

alloc

public static MPSCNNBinaryConvolutionNode alloc()

allocWithZone

public static MPSCNNBinaryConvolutionNode 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()

debugDescription_static

public static java.lang.String debugDescription_static()

description_static

public static java.lang.String description_static()

hash_static

public static long hash_static()

init

public MPSCNNBinaryConvolutionNode init()

Overrides:

init in class MPSCNNConvolutionNode

initWithSourceWeights

public MPSCNNBinaryConvolutionNode initWithSourceWeights(MPSNNImageNode sourceNode,
                                                         MPSCNNConvolutionDataSource weights)

Description copied from class: MPSCNNConvolutionNode

Init a node representing a MPSCNNConvolution kernel

Overrides:

initWithSourceWeights in class MPSCNNConvolutionNode

Parameters:

sourceNode - The MPSNNImageNode representing the source MPSImage for the filter

weights - A pointer to a valid object conforming to the MPSCNNConvolutionDataSource protocol. This object is provided by you to encapsulate storage for convolution weights and biases. If it is used for training, it may not have a neuron embedded in the convolution descriptor.

Returns:

A new MPSNNFilter node for a MPSCNNConvolution kernel.

initWithSourceWeightsScaleValueTypeFlags

public MPSCNNBinaryConvolutionNode initWithSourceWeightsScaleValueTypeFlags(MPSNNImageNode sourceNode,
                                                                            MPSCNNConvolutionDataSource weights,
                                                                            float scaleValue,
                                                                            long type,
                                                                            long flags)

Init a node representing a MPSCNNBinaryConvolution kernel

Parameters:

sourceNode - The MPSNNImageNode representing the source MPSImage for the filter

weights - A pointer to a valid object conforming to the MPSCNNConvolutionDataSource protocol. This object is provided by you to encapsulate storage for convolution weights and biases.

scaleValue - A floating point value used to scale the entire convolution.

type - What kind of binarization strategy is to be used.

flags - See documentation of MPSCNNBinaryConvolutionFlags.

Returns:

A new MPSNNFilter node for a MPSCNNBinaryConvolution kernel.

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)

new_objc

public static MPSCNNBinaryConvolutionNode new_objc()

nodeWithSourceWeights

public static MPSCNNBinaryConvolutionNode nodeWithSourceWeights(MPSNNImageNode sourceNode,
                                                                MPSCNNConvolutionDataSource weights)

nodeWithSourceWeightsScaleValueTypeFlags

public static MPSCNNBinaryConvolutionNode nodeWithSourceWeightsScaleValueTypeFlags(MPSNNImageNode sourceNode,
                                                                                   MPSCNNConvolutionDataSource weights,
                                                                                   float scaleValue,
                                                                                   long type,
                                                                                   long flags)

Init an autoreleased node representing a MPSCNNBinaryConvolution kernel

Parameters:

sourceNode - The MPSNNImageNode representing the source MPSImage for the filter

weights - A pointer to a valid object conforming to the MPSCNNConvolutionDataSource protocol. This object is provided by you to encapsulate storage for convolution weights and biases.

scaleValue - A floating point value used to scale the entire convolution.

type - What kind of binarization strategy is to be used.

flags - See documentation of MPSCNNBinaryConvolutionFlags.

Returns:

A new MPSNNFilter node for a MPSCNNBinaryConvolution kernel.

resolveClassMethod

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

resolveInstanceMethod

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

setVersion_static

public static void setVersion_static(long aVersion)

superclass_static

public static org.moe.natj.objc.Class superclass_static()

version_static

public static long version_static()

initWithSourceWeightsOutputBiasTermsOutputScaleTermsInputBiasTermsInputScaleTermsTypeFlags

public MPSCNNBinaryConvolutionNode initWithSourceWeightsOutputBiasTermsOutputScaleTermsInputBiasTermsInputScaleTermsTypeFlags(MPSNNImageNode sourceNode,
                                                                                                                              MPSCNNConvolutionDataSource weights,
                                                                                                                              org.moe.natj.general.ptr.ConstFloatPtr outputBiasTerms,
                                                                                                                              org.moe.natj.general.ptr.ConstFloatPtr outputScaleTerms,
                                                                                                                              org.moe.natj.general.ptr.ConstFloatPtr inputBiasTerms,
                                                                                                                              org.moe.natj.general.ptr.ConstFloatPtr inputScaleTerms,
                                                                                                                              long type,
                                                                                                                              long flags)

Init a node representing a MPSCNNBinaryConvolution kernel

Parameters:

sourceNode - The MPSNNImageNode representing the source MPSImage for the filter

weights - A pointer to a valid object conforming to the MPSCNNConvolutionDataSource protocol. This object is provided by you to encapsulate storage for convolution weights and biases.

outputBiasTerms - A pointer to bias terms to be applied to the convolution output. See MPSCNNBinaryConvolution for more details.

outputScaleTerms - A pointer to scale terms to be applied to binary convolution results per output feature channel. See MPSCNNBinaryConvolution for more details.

inputBiasTerms - A pointer to offset terms to be applied to the input before convolution and before input scaling. See MPSCNNBinaryConvolution for more details.

inputScaleTerms - A pointer to scale terms to be applied to the input before convolution, but after input biasing. See MPSCNNBinaryConvolution for more details.

type - What kind of binarization strategy is to be used.

flags - See documentation of MPSCNNBinaryConvolutionFlags.

Returns:

A new MPSNNFilter node for a MPSCNNBinaryConvolution kernel.

nodeWithSourceWeightsOutputBiasTermsOutputScaleTermsInputBiasTermsInputScaleTermsTypeFlags

public static MPSCNNBinaryConvolutionNode nodeWithSourceWeightsOutputBiasTermsOutputScaleTermsInputBiasTermsInputScaleTermsTypeFlags(MPSNNImageNode sourceNode,
                                                                                                                                     MPSCNNConvolutionDataSource weights,
                                                                                                                                     org.moe.natj.general.ptr.ConstFloatPtr outputBiasTerms,
                                                                                                                                     org.moe.natj.general.ptr.ConstFloatPtr outputScaleTerms,
                                                                                                                                     org.moe.natj.general.ptr.ConstFloatPtr inputBiasTerms,
                                                                                                                                     org.moe.natj.general.ptr.ConstFloatPtr inputScaleTerms,
                                                                                                                                     long type,
                                                                                                                                     long flags)

Init an autoreleased node representing a MPSCNNBinaryConvolution kernel

Parameters:

sourceNode - The MPSNNImageNode representing the source MPSImage for the filter

weights - A pointer to a valid object conforming to the MPSCNNConvolutionDataSource protocol. This object is provided by you to encapsulate storage for convolution weights and biases.

outputBiasTerms - A pointer to bias terms to be applied to the convolution output. See MPSCNNBinaryConvolution for more details.

outputScaleTerms - A pointer to scale terms to be applied to binary convolution results per output feature channel. See MPSCNNBinaryConvolution for more details.

inputBiasTerms - A pointer to offset terms to be applied to the input before convolution and before input scaling. See MPSCNNBinaryConvolution for more details.

inputScaleTerms - A pointer to scale terms to be applied to the input before convolution, but after input biasing. See MPSCNNBinaryConvolution for more details.

type - What kind of binarization strategy is to be used.

flags - See documentation of MPSCNNBinaryConvolutionFlags.

Returns:

A new MPSNNFilter node for a MPSCNNBinaryConvolution kernel.