public class MPSCNNBinaryFullyConnectedNode extends MPSCNNBinaryConvolutionNode
MPSNNFilterNode.Block_trainingGraphWithSourceGradientNodeHandlerNSObject.Function_instanceMethodForSelector_ret, NSObject.Function_methodForSelector_ret| Modifier | Constructor and Description |
|---|---|
protected |
MPSCNNBinaryFullyConnectedNode(org.moe.natj.general.Pointer peer) |
| Modifier and Type | Method and Description |
|---|---|
static boolean |
accessInstanceVariablesDirectly() |
static MPSCNNBinaryFullyConnectedNode |
alloc() |
static MPSCNNBinaryFullyConnectedNode |
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() |
MPSCNNBinaryFullyConnectedNode |
init() |
MPSCNNBinaryFullyConnectedNode |
initWithSourceWeights(MPSNNImageNode sourceNode,
MPSCNNConvolutionDataSource weights)
Init a node representing a MPSCNNConvolution kernel
|
MPSCNNBinaryFullyConnectedNode |
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 MPSCNNBinaryFullyConnected kernel
|
MPSCNNBinaryFullyConnectedNode |
initWithSourceWeightsScaleValueTypeFlags(MPSNNImageNode sourceNode,
MPSCNNConvolutionDataSource weights,
float scaleValue,
long type,
long flags)
Init a node representing a MPSCNNBinaryFullyConnected 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 MPSCNNBinaryFullyConnectedNode |
new_objc() |
static MPSCNNBinaryFullyConnectedNode |
nodeWithSourceWeights(MPSNNImageNode sourceNode,
MPSCNNConvolutionDataSource weights) |
static MPSCNNBinaryFullyConnectedNode |
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 MPSCNNBinaryFullyConnected kernel
|
static MPSCNNBinaryFullyConnectedNode |
nodeWithSourceWeightsScaleValueTypeFlags(MPSNNImageNode sourceNode,
MPSCNNConvolutionDataSource weights,
float scaleValue,
long type,
long flags)
Init an autoreleased node representing a MPSCNNBinaryFullyConnected 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() |
accumulatorPrecision, convolutionGradientState, setAccumulatorPrecision, setTrainingStyle, trainingStylegradientFiltersWithSource, gradientFiltersWithSources, gradientFilterWithSource, gradientFilterWithSources, label, paddingPolicy, resultImage, resultState, resultStates, setLabel, setPaddingPolicy, trainingGraphWithSourceGradientNodeHandleraccessibilityActivate, 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, willChangeValuesAtIndexesForKeyprotected MPSCNNBinaryFullyConnectedNode(org.moe.natj.general.Pointer peer)
public static boolean accessInstanceVariablesDirectly()
public static MPSCNNBinaryFullyConnectedNode alloc()
public static MPSCNNBinaryFullyConnectedNode allocWithZone(org.moe.natj.general.ptr.VoidPtr zone)
public static boolean automaticallyNotifiesObserversForKey(java.lang.String key)
public static void cancelPreviousPerformRequestsWithTarget(java.lang.Object aTarget)
public static void cancelPreviousPerformRequestsWithTargetSelectorObject(java.lang.Object aTarget,
org.moe.natj.objc.SEL aSelector,
java.lang.Object anArgument)
public static NSArray<java.lang.String> classFallbacksForKeyedArchiver()
public static org.moe.natj.objc.Class classForKeyedUnarchiver()
public static java.lang.String debugDescription_static()
public static java.lang.String description_static()
public static long hash_static()
public MPSCNNBinaryFullyConnectedNode init()
init in class MPSCNNBinaryConvolutionNodepublic MPSCNNBinaryFullyConnectedNode initWithSourceWeights(MPSNNImageNode sourceNode, MPSCNNConvolutionDataSource weights)
MPSCNNConvolutionNodeinitWithSourceWeights in class MPSCNNBinaryConvolutionNodesourceNode - The MPSNNImageNode representing the source MPSImage for the filterweights - 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.public MPSCNNBinaryFullyConnectedNode initWithSourceWeightsScaleValueTypeFlags(MPSNNImageNode sourceNode, MPSCNNConvolutionDataSource weights, float scaleValue, long type, long flags)
initWithSourceWeightsScaleValueTypeFlags in class MPSCNNBinaryConvolutionNodesourceNode - The MPSNNImageNode representing the source MPSImage for the filterweights - 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.public static NSObject.Function_instanceMethodForSelector_ret instanceMethodForSelector(org.moe.natj.objc.SEL aSelector)
public static NSMethodSignature instanceMethodSignatureForSelector(org.moe.natj.objc.SEL aSelector)
public static boolean instancesRespondToSelector(org.moe.natj.objc.SEL aSelector)
public static boolean isSubclassOfClass(org.moe.natj.objc.Class aClass)
public static NSSet<java.lang.String> keyPathsForValuesAffectingValueForKey(java.lang.String key)
public static MPSCNNBinaryFullyConnectedNode new_objc()
public static MPSCNNBinaryFullyConnectedNode nodeWithSourceWeights(MPSNNImageNode sourceNode, MPSCNNConvolutionDataSource weights)
public static MPSCNNBinaryFullyConnectedNode nodeWithSourceWeightsScaleValueTypeFlags(MPSNNImageNode sourceNode, MPSCNNConvolutionDataSource weights, float scaleValue, long type, long flags)
sourceNode - The MPSNNImageNode representing the source MPSImage for the filterweights - 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.public static boolean resolveClassMethod(org.moe.natj.objc.SEL sel)
public static boolean resolveInstanceMethod(org.moe.natj.objc.SEL sel)
public static void setVersion_static(long aVersion)
public static org.moe.natj.objc.Class superclass_static()
public static long version_static()
public MPSCNNBinaryFullyConnectedNode 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)
initWithSourceWeightsOutputBiasTermsOutputScaleTermsInputBiasTermsInputScaleTermsTypeFlags in class MPSCNNBinaryConvolutionNodesourceNode - The MPSNNImageNode representing the source MPSImage for the filterweights - 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.public static MPSCNNBinaryFullyConnectedNode 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)
sourceNode - The MPSNNImageNode representing the source MPSImage for the filterweights - 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.