apple.mlcompute

Class MLCLossLayer

java.lang.Object

org.moe.natj.general.NativeObject

org.moe.natj.objc.ObjCObject

apple.NSObject

apple.mlcompute.MLCLayer

apple.mlcompute.MLCLossLayer

All Implemented Interfaces:

NSObject

Direct Known Subclasses:

MLCYOLOLossLayer

public class MLCLossLayer
extends MLCLayer

MLCLossLayer

A loss layer

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

Method Summary

Modifier and Type	Method and Description
static boolean	accessInstanceVariablesDirectly()
static MLCLossLayer	alloc()
static MLCLossLayer	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 MLCLossLayer	categoricalCrossEntropyLossWithReductionTypeLabelSmoothingClassCountWeight(int reductionType, float labelSmoothing, long classCount, float weight) Create a loss layer
static MLCLossLayer	categoricalCrossEntropyLossWithReductionTypeLabelSmoothingClassCountWeights(int reductionType, float labelSmoothing, long classCount, MLCTensor weights) Create a loss layer
static NSArray<java.lang.String>	classFallbacksForKeyedArchiver()
static org.moe.natj.objc.Class	classForKeyedUnarchiver()
static MLCLossLayer	cosineDistanceLossWithReductionTypeWeight(int reductionType, float weight) Create a loss layer
static MLCLossLayer	cosineDistanceLossWithReductionTypeWeights(int reductionType, MLCTensor weights) Create a loss layer
static java.lang.String	debugDescription_static()
static java.lang.String	description_static()
MLCLossDescriptor	descriptor() [@property] descriptor
static long	hash_static()
static MLCLossLayer	hingeLossWithReductionTypeWeight(int reductionType, float weight) Create a loss layer
static MLCLossLayer	hingeLossWithReductionTypeWeights(int reductionType, MLCTensor weights) Create a loss layer
static MLCLossLayer	huberLossWithReductionTypeDeltaWeight(int reductionType, float delta, float weight) Create a loss layer
static MLCLossLayer	huberLossWithReductionTypeDeltaWeights(int reductionType, float delta, MLCTensor weights) Create a loss layer
MLCLossLayer	init()
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 MLCLossLayer	layerWithDescriptor(MLCLossDescriptor lossDescriptor) Create a loss layer
static MLCLossLayer	layerWithDescriptorWeights(MLCLossDescriptor lossDescriptor, MLCTensor weights) Create a MLComputeLoss layer
static MLCLossLayer	logLossWithReductionTypeEpsilonWeight(int reductionType, float epsilon, float weight) Create a loss layer
static MLCLossLayer	logLossWithReductionTypeEpsilonWeights(int reductionType, float epsilon, MLCTensor weights) Create a loss layer
static MLCLossLayer	meanAbsoluteErrorLossWithReductionTypeWeight(int reductionType, float weight) Create a loss layer
static MLCLossLayer	meanAbsoluteErrorLossWithReductionTypeWeights(int reductionType, MLCTensor weights) Create a loss layer
static MLCLossLayer	meanSquaredErrorLossWithReductionTypeWeight(int reductionType, float weight) Create a loss layer
static MLCLossLayer	meanSquaredErrorLossWithReductionTypeWeights(int reductionType, MLCTensor weights) Create a loss layer
static MLCLossLayer	new_objc()
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 MLCLossLayer	sigmoidCrossEntropyLossWithReductionTypeLabelSmoothingWeight(int reductionType, float labelSmoothing, float weight) Create a loss layer
static MLCLossLayer	sigmoidCrossEntropyLossWithReductionTypeLabelSmoothingWeights(int reductionType, float labelSmoothing, MLCTensor weights) Create a loss layer
static MLCLossLayer	softmaxCrossEntropyLossWithReductionTypeLabelSmoothingClassCountWeight(int reductionType, float labelSmoothing, long classCount, float weight) Create a loss layer
static MLCLossLayer	softmaxCrossEntropyLossWithReductionTypeLabelSmoothingClassCountWeights(int reductionType, float labelSmoothing, long classCount, MLCTensor weights) Create a loss layer
static org.moe.natj.objc.Class	superclass_static()
static boolean	supportsDataTypeOnDevice(int dataType, MLCDevice device)
static long	version_static()
MLCTensor	weights() [@property] weights

Methods inherited from class apple.mlcompute.MLCLayer

deviceType, isDebuggingEnabled, label, layerID, setIsDebuggingEnabled, setLabel

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

MLCLossLayer

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

Method Detail

accessInstanceVariablesDirectly

public static boolean accessInstanceVariablesDirectly()

alloc

public static MLCLossLayer alloc()

allocWithZone

public static MLCLossLayer 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)

categoricalCrossEntropyLossWithReductionTypeLabelSmoothingClassCountWeight

public static MLCLossLayer categoricalCrossEntropyLossWithReductionTypeLabelSmoothingClassCountWeight(int reductionType,
                                                                                                      float labelSmoothing,
                                                                                                      long classCount,
                                                                                                      float weight)

Create a loss layer

Parameters:

reductionType - The reduction type to use

labelSmoothing - Label smoothing value

classCount - Number of classes

weight - A scalar floating point value

Returns:

A new categorical cross entropy loss layer.

categoricalCrossEntropyLossWithReductionTypeLabelSmoothingClassCountWeights

public static MLCLossLayer categoricalCrossEntropyLossWithReductionTypeLabelSmoothingClassCountWeights(int reductionType,
                                                                                                       float labelSmoothing,
                                                                                                       long classCount,
                                                                                                       MLCTensor weights)

Create a loss layer

Parameters:

reductionType - The reduction type to use

labelSmoothing - Label smoothing value

classCount - Number of classes

weights - The loss label weights tensor

Returns:

A new categorical cross entropy loss layer.

classFallbacksForKeyedArchiver

public static NSArray<java.lang.String> classFallbacksForKeyedArchiver()

classForKeyedUnarchiver

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

cosineDistanceLossWithReductionTypeWeight

public static MLCLossLayer cosineDistanceLossWithReductionTypeWeight(int reductionType,
                                                                     float weight)

Create a loss layer

Parameters:

reductionType - The reduction type to use

weight - A scalar floating-point value

Returns:

A new cosine distance loss layer.

cosineDistanceLossWithReductionTypeWeights

public static MLCLossLayer cosineDistanceLossWithReductionTypeWeights(int reductionType,
                                                                      MLCTensor weights)

Create a loss layer

Parameters:

reductionType - The reduction type to use

weights - The loss label weights tensor

Returns:

A new cosine distance loss layer.

debugDescription_static

public static java.lang.String debugDescription_static()

description_static

public static java.lang.String description_static()

descriptor

public MLCLossDescriptor descriptor()

[@property] descriptor

The loss descriptor

hash_static

public static long hash_static()

hingeLossWithReductionTypeWeight

public static MLCLossLayer hingeLossWithReductionTypeWeight(int reductionType,
                                                            float weight)

Create a loss layer

Parameters:

reductionType - The reduction type to use

weight - A scalar floating-point value

Returns:

A new hinge loss layer.

hingeLossWithReductionTypeWeights

public static MLCLossLayer hingeLossWithReductionTypeWeights(int reductionType,
                                                             MLCTensor weights)

Create a loss layer

Parameters:

reductionType - The reduction type to use

weights - The loss label weights tensor

Returns:

A new hinge loss layer.

huberLossWithReductionTypeDeltaWeight

public static MLCLossLayer huberLossWithReductionTypeDeltaWeight(int reductionType,
                                                                 float delta,
                                                                 float weight)

Create a loss layer

Parameters:

reductionType - The reduction type to use

delta - The delta parameter

weight - A scalar floating-point value

Returns:

A new huber loss layer.

huberLossWithReductionTypeDeltaWeights

public static MLCLossLayer huberLossWithReductionTypeDeltaWeights(int reductionType,
                                                                  float delta,
                                                                  MLCTensor weights)

Create a loss layer

Parameters:

reductionType - The reduction type to use

delta - The delta parameter

weights - The loss label weights tensor

Returns:

A new huber loss layer.

init

public MLCLossLayer init()

Overrides:

init in class MLCLayer

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)

layerWithDescriptor

public static MLCLossLayer layerWithDescriptor(MLCLossDescriptor lossDescriptor)

Create a loss layer

Parameters:

lossDescriptor - The loss descriptor

Returns:

A new loss layer.

layerWithDescriptorWeights

public static MLCLossLayer layerWithDescriptorWeights(MLCLossDescriptor lossDescriptor,
                                                      MLCTensor weights)

Create a MLComputeLoss layer

Parameters:

lossDescriptor - The loss descriptor

weights - The loss label weights tensor

Returns:

A new loss layer.

logLossWithReductionTypeEpsilonWeight

public static MLCLossLayer logLossWithReductionTypeEpsilonWeight(int reductionType,
                                                                 float epsilon,
                                                                 float weight)

Create a loss layer

Parameters:

reductionType - The reduction type to use

epsilon - The epsilon parameter

weight - A scalar floating-point value

Returns:

A new log loss layer.

logLossWithReductionTypeEpsilonWeights

public static MLCLossLayer logLossWithReductionTypeEpsilonWeights(int reductionType,
                                                                  float epsilon,
                                                                  MLCTensor weights)

Create a loss layer

Parameters:

reductionType - The reduction type to use

epsilon - The epsilon parameter

weights - The loss label weights tensor

Returns:

A new log loss layer.

meanAbsoluteErrorLossWithReductionTypeWeight

public static MLCLossLayer meanAbsoluteErrorLossWithReductionTypeWeight(int reductionType,
                                                                        float weight)

Create a loss layer

Parameters:

reductionType - The reduction type to use

weight - A scalar floating-point value

Returns:

A new L1 i.e. mean absolute error loss layer.

meanAbsoluteErrorLossWithReductionTypeWeights

public static MLCLossLayer meanAbsoluteErrorLossWithReductionTypeWeights(int reductionType,
                                                                         MLCTensor weights)

Create a loss layer

Parameters:

reductionType - The reduction type to use

weights - The loss label weights tensor

Returns:

A new L1 i.e. mean absolute error loss layer.

meanSquaredErrorLossWithReductionTypeWeight

public static MLCLossLayer meanSquaredErrorLossWithReductionTypeWeight(int reductionType,
                                                                       float weight)

Create a loss layer

Parameters:

reductionType - The reduction type to use

weight - A scalar floating-point value

Returns:

A new L2 i.e. mean squared error loss layer.

meanSquaredErrorLossWithReductionTypeWeights

public static MLCLossLayer meanSquaredErrorLossWithReductionTypeWeights(int reductionType,
                                                                        MLCTensor weights)

Create a loss layer

Parameters:

reductionType - The reduction type to use

weights - The loss label weights tensor

Returns:

A new L2 i.e. mean squared error loss layer.

new_objc

public static MLCLossLayer new_objc()

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)

sigmoidCrossEntropyLossWithReductionTypeLabelSmoothingWeight

public static MLCLossLayer sigmoidCrossEntropyLossWithReductionTypeLabelSmoothingWeight(int reductionType,
                                                                                        float labelSmoothing,
                                                                                        float weight)

Create a loss layer

Parameters:

reductionType - The reduction type to use

labelSmoothing - Label smoothing value

weight - A scalar floating-point value

Returns:

A new sigmoid cross entropy loss layer.

sigmoidCrossEntropyLossWithReductionTypeLabelSmoothingWeights

public static MLCLossLayer sigmoidCrossEntropyLossWithReductionTypeLabelSmoothingWeights(int reductionType,
                                                                                         float labelSmoothing,
                                                                                         MLCTensor weights)

Create a loss layer

Parameters:

reductionType - The reduction type to use

labelSmoothing - Label smoothing value

weights - The loss label weights tensor

Returns:

A new sigmoid cross entropy loss layer.

softmaxCrossEntropyLossWithReductionTypeLabelSmoothingClassCountWeight

public static MLCLossLayer softmaxCrossEntropyLossWithReductionTypeLabelSmoothingClassCountWeight(int reductionType,
                                                                                                  float labelSmoothing,
                                                                                                  long classCount,
                                                                                                  float weight)

Create a loss layer

Parameters:

reductionType - The reduction type to use

labelSmoothing - Label smoothing value

classCount - Number of classes

weight - A scalar floating point value

Returns:

A new softmax cross entropy loss layer.

softmaxCrossEntropyLossWithReductionTypeLabelSmoothingClassCountWeights

public static MLCLossLayer softmaxCrossEntropyLossWithReductionTypeLabelSmoothingClassCountWeights(int reductionType,
                                                                                                   float labelSmoothing,
                                                                                                   long classCount,
                                                                                                   MLCTensor weights)

Create a loss layer

Parameters:

reductionType - The reduction type to use

labelSmoothing - Label smoothing value

classCount - Number of classes

weights - The loss label weights tensor

Returns:

A new softmax cross entropy loss layer.

superclass_static

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

supportsDataTypeOnDevice

public static boolean supportsDataTypeOnDevice(int dataType,
                                               MLCDevice device)

version_static

public static long version_static()

weights

public MLCTensor weights()

[@property] weights

The loss label weights tensor