Package apple.metalperformanceshaders
Class MPSRNNDescriptor
- 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.MPSRNNDescriptor
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- All Implemented Interfaces:
NSObject
- Direct Known Subclasses:
MPSGRUDescriptor,MPSLSTMDescriptor,MPSRNNSingleGateDescriptor
public class MPSRNNDescriptor extends NSObject
MPSRNNDescriptor [@dependency] This depends on Metal.framework The MPSRNNDescriptor specifies a Recursive neural network block/layer descriptor.
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Nested Class Summary
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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 protectedMPSRNNDescriptor(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 MPSRNNDescriptoralloc()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()static longhash_static()MPSRNNDescriptorinit()longinputFeatureChannels()[@property] inputFeatureChannels The number of feature channels per pixel in the input image or number of rows in the input matrix.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)longlayerSequenceDirection()[@property] layerSequenceDirection When the layer specified with this descriptor is used to process a sequence of inputs by calling @see encodeBidirectionalSequenceToCommandBuffer then this parameter defines in which direction the sequence is processed.static java.lang.Objectnew_objc()longoutputFeatureChannels()[@property] outputFeatureChannels The number of feature channels per pixel in the destination image or number of rows in the destination matrix.static booleanresolveClassMethod(org.moe.natj.objc.SEL sel)static booleanresolveInstanceMethod(org.moe.natj.objc.SEL sel)voidsetInputFeatureChannels(long value)[@property] inputFeatureChannels The number of feature channels per pixel in the input image or number of rows in the input matrix.voidsetLayerSequenceDirection(long value)[@property] layerSequenceDirection When the layer specified with this descriptor is used to process a sequence of inputs by calling @see encodeBidirectionalSequenceToCommandBuffer then this parameter defines in which direction the sequence is processed.voidsetOutputFeatureChannels(long value)[@property] outputFeatureChannels The number of feature channels per pixel in the destination image or number of rows in the destination matrix.voidsetUseFloat32Weights(boolean value)[@property] useFloat32Weights If YES, then @ref MPSRNNMatrixInferenceLayer uses 32-bit floating point numbers internally for weights when computing matrix transformations.voidsetUseLayerInputUnitTransformMode(boolean value)[@property] useLayerInputUnitTransformMode if YES then use identity transformation for all weights (W, Wr, Wi, Wf, Wo, Wc) affecting input x_j in this layer, even if said weights are specified as nil.static voidsetVersion_static(long aVersion)static org.moe.natj.objc.Classsuperclass_static()booleanuseFloat32Weights()[@property] useFloat32Weights If YES, then @ref MPSRNNMatrixInferenceLayer uses 32-bit floating point numbers internally for weights when computing matrix transformations.booleanuseLayerInputUnitTransformMode()[@property] useLayerInputUnitTransformMode if YES then use identity transformation for all weights (W, Wr, Wi, Wf, Wo, Wc) affecting input x_j in this layer, even if said weights are specified as nil.static longversion_static()-
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 MPSRNNDescriptor 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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hash_static
public static long hash_static()
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init
public MPSRNNDescriptor init()
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inputFeatureChannels
public long inputFeatureChannels()
[@property] inputFeatureChannels The number of feature channels per pixel in the input image or number of rows in the input matrix.
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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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layerSequenceDirection
public long layerSequenceDirection()
[@property] layerSequenceDirection When the layer specified with this descriptor is used to process a sequence of inputs by calling @see encodeBidirectionalSequenceToCommandBuffer then this parameter defines in which direction the sequence is processed. The operation of the layer is: (yt, ht, ct) = f(xt,ht-1,ct-1) for MPSRNNSequenceDirectionForward and (yt, ht, ct) = f(xt,ht+1,ct+1) for MPSRNNSequenceDirectionBackward, where xt is the output of the previous layer that encodes in the same direction as this layer, (or the input image or matrix if this is the first layer in stack with this direction).- See Also:
and @see MPSRNNMatrixInferenceLayer.
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new_objc
public static java.lang.Object new_objc()
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outputFeatureChannels
public long outputFeatureChannels()
[@property] outputFeatureChannels The number of feature channels per pixel in the destination image or number of rows in the destination matrix.
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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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setInputFeatureChannels
public void setInputFeatureChannels(long value)
[@property] inputFeatureChannels The number of feature channels per pixel in the input image or number of rows in the input matrix.
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setLayerSequenceDirection
public void setLayerSequenceDirection(long value)
[@property] layerSequenceDirection When the layer specified with this descriptor is used to process a sequence of inputs by calling @see encodeBidirectionalSequenceToCommandBuffer then this parameter defines in which direction the sequence is processed. The operation of the layer is: (yt, ht, ct) = f(xt,ht-1,ct-1) for MPSRNNSequenceDirectionForward and (yt, ht, ct) = f(xt,ht+1,ct+1) for MPSRNNSequenceDirectionBackward, where xt is the output of the previous layer that encodes in the same direction as this layer, (or the input image or matrix if this is the first layer in stack with this direction).- See Also:
and @see MPSRNNMatrixInferenceLayer.
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setOutputFeatureChannels
public void setOutputFeatureChannels(long value)
[@property] outputFeatureChannels The number of feature channels per pixel in the destination image or number of rows in the destination matrix.
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setUseFloat32Weights
public void setUseFloat32Weights(boolean value)
[@property] useFloat32Weights If YES, then @ref MPSRNNMatrixInferenceLayer uses 32-bit floating point numbers internally for weights when computing matrix transformations. If NO, then 16-bit, half precision floating point numbers are used. Currently @ref MPSRNNImageInferenceLayer ignores this property and the convolution operations always convert FP32 weights into FP16 for better performance. Defaults to NO.
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setUseLayerInputUnitTransformMode
public void setUseLayerInputUnitTransformMode(boolean value)
[@property] useLayerInputUnitTransformMode if YES then use identity transformation for all weights (W, Wr, Wi, Wf, Wo, Wc) affecting input x_j in this layer, even if said weights are specified as nil. For example 'W_ij * x_j' is replaced by 'x_j' in formulae defined in @ref MPSRNNSingleGateDescriptor. Defaults to NO.
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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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useFloat32Weights
public boolean useFloat32Weights()
[@property] useFloat32Weights If YES, then @ref MPSRNNMatrixInferenceLayer uses 32-bit floating point numbers internally for weights when computing matrix transformations. If NO, then 16-bit, half precision floating point numbers are used. Currently @ref MPSRNNImageInferenceLayer ignores this property and the convolution operations always convert FP32 weights into FP16 for better performance. Defaults to NO.
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useLayerInputUnitTransformMode
public boolean useLayerInputUnitTransformMode()
[@property] useLayerInputUnitTransformMode if YES then use identity transformation for all weights (W, Wr, Wi, Wf, Wo, Wc) affecting input x_j in this layer, even if said weights are specified as nil. For example 'W_ij * x_j' is replaced by 'x_j' in formulae defined in @ref MPSRNNSingleGateDescriptor. Defaults to NO.
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version_static
public static long version_static()
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