Package org.robovm.apple.mlcompute

Class MLCLossLayer

java.lang.Object

org.robovm.rt.bro.NativeObject

org.robovm.objc.ObjCObject

org.robovm.apple.foundation.NSObject

org.robovm.apple.mlcompute.MLCLayer

org.robovm.apple.mlcompute.MLCLossLayer

All Implemented Interfaces:

NSObjectProtocol, ObjCProtocol

Direct Known Subclasses:

MLCYOLOLossLayer

public class MLCLossLayer
extends MLCLayer

Since:

Available in iOS 14.0 and later.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	MLCLossLayer.MLCLossLayerPtr

Nested classes/interfaces inherited from class org.robovm.apple.mlcompute.MLCLayer

MLCLayer.MLCLayerPtr

Nested classes/interfaces inherited from class org.robovm.apple.foundation.NSObject

NSObject.Handle, NSObject.Marshaler, NSObject.NoRetainMarshaler, NSObject.NSKeyValueObserver, NSObject.NSObjectPtr, NSObject.SkipInit

Nested classes/interfaces inherited from class org.robovm.objc.ObjCObject

ObjCObject.ObjCObjectPtr, ObjCObject.Super

Field Summary

Fields inherited from class org.robovm.apple.foundation.NSObject

FLAG_NO_RETAIN

Fields inherited from class org.robovm.objc.ObjCObject

customClass

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	MLCLossLayer()
protected	MLCLossLayer(NSObject.Handle h, long handle)
protected	MLCLossLayer(NSObject.SkipInit skipInit)
	MLCLossLayer(MLCLossDescriptor lossDescriptor)
	MLCLossLayer(MLCLossDescriptor lossDescriptor, MLCTensor weights)

Method Summary

Modifier and Type	Method	Description
protected static long	create(MLCLossDescriptor lossDescriptor)
protected static long	create(MLCLossDescriptor lossDescriptor, MLCTensor weights)
static MLCLossLayer	createCategoricalCrossEntropyLoss(MLCReductionType reductionType, float labelSmoothing, long classCount, float weight)
static MLCLossLayer	createCategoricalCrossEntropyLoss(MLCReductionType reductionType, float labelSmoothing, long classCount, MLCTensor weights)
static MLCLossLayer	createCosineDistanceLoss(MLCReductionType reductionType, float weight)
static MLCLossLayer	createCosineDistanceLoss(MLCReductionType reductionType, MLCTensor weights)
static MLCLossLayer	createHingeLoss(MLCReductionType reductionType, float weight)
static MLCLossLayer	createHingeLoss(MLCReductionType reductionType, MLCTensor weights)
static MLCLossLayer	createHuberLoss(MLCReductionType reductionType, float delta, float weight)
static MLCLossLayer	createHuberLoss(MLCReductionType reductionType, float delta, MLCTensor weights)
static MLCLossLayer	createLogLoss(MLCReductionType reductionType, float epsilon, float weight)
static MLCLossLayer	createLogLoss(MLCReductionType reductionType, float epsilon, MLCTensor weights)
static MLCLossLayer	createMeanAbsoluteErrorLoss(MLCReductionType reductionType, float weight)
static MLCLossLayer	createMeanAbsoluteErrorLoss(MLCReductionType reductionType, MLCTensor weights)
static MLCLossLayer	createMeanSquaredErrorLoss(MLCReductionType reductionType, float weight)
static MLCLossLayer	createMeanSquaredErrorLoss(MLCReductionType reductionType, MLCTensor weights)
static MLCLossLayer	createSigmoidCrossEntropyLoss(MLCReductionType reductionType, float labelSmoothing, float weight)
static MLCLossLayer	createSigmoidCrossEntropyLoss(MLCReductionType reductionType, float labelSmoothing, MLCTensor weights)
static MLCLossLayer	createSoftmaxCrossEntropyLoss(MLCReductionType reductionType, float labelSmoothing, long classCount, float weight)
static MLCLossLayer	createSoftmaxCrossEntropyLoss(MLCReductionType reductionType, float labelSmoothing, long classCount, MLCTensor weights)
MLCLossDescriptor	getDescriptor()
MLCTensor	getWeights()
static boolean	supportsDataType(MLCDataType dataType, MLCDevice device)

Methods inherited from class org.robovm.apple.mlcompute.MLCLayer

getDeviceType, getLabel, getLayerID, isDebuggingEnabled, setIsDebuggingEnabled, setLabel

Methods inherited from class org.robovm.apple.foundation.NSObject

addKeyValueObserver, addKeyValueObserver, afterMarshaled, alloc, autorelease, autorelease, awakeFromNib, conformsToProtocol, copy, description, didChangeValue, didChangeValue, didChangeValues, doDispose, equals, forceSkipInit, getAutoContentAccessingProxy, getClassForCoder, getClassForKeyedArchiver, getKeyValueCoder, getObservationInfo, hash, hashCode, init, isEqual, isKindOfClass, isMemberOfClass, mutableCopy, performSelector, performSelector, performSelector, performSelector, performSelector, performSelector, performSelector, performSelectorInBackground, performSelectorOnMainThread, performSelectorOnMainThread, performSelectorV, performSelectorV, performSelectorV, release, release, removeKeyValueObserver, removeKeyValueObservers, respondsToSelector, retain, retain, retainCount, setObservationInfo, toString, willChangeValue, willChangeValue, willChangeValues

Methods inherited from class org.robovm.objc.ObjCObject

addStrongRef, dispose, dispose, finalize, getAssociatedObject, getObjCClass, getPeerObject, getSuper, initObject, logRetainRelease, removeStrongRef, retainCustomObjectFromCb, setAssociatedObject, toObjCObject, toObjCObject, updateStrongRef

Methods inherited from class org.robovm.rt.bro.NativeObject

as, getHandle, setHandle

Methods inherited from class java.lang.Object

clone, getClass, notify, notifyAll, wait, wait, wait

Constructor Details

MLCLossLayer

protected MLCLossLayer()

MLCLossLayer

protected MLCLossLayer(NSObject.Handle h,
long handle)

MLCLossLayer

protected MLCLossLayer(NSObject.SkipInit skipInit)

MLCLossLayer

public MLCLossLayer(MLCLossDescriptor lossDescriptor)

MLCLossLayer

public MLCLossLayer(MLCLossDescriptor lossDescriptor,
MLCTensor weights)

Method Details

getDescriptor

public MLCLossDescriptor getDescriptor()

getWeights

public MLCTensor getWeights()

create

protected static long create(MLCLossDescriptor lossDescriptor)

create

protected static long create(MLCLossDescriptor lossDescriptor,
MLCTensor weights)

createSoftmaxCrossEntropyLoss

public static MLCLossLayer createSoftmaxCrossEntropyLoss(MLCReductionType reductionType,
float labelSmoothing,
long classCount,
float weight)

createSoftmaxCrossEntropyLoss

public static MLCLossLayer createSoftmaxCrossEntropyLoss(MLCReductionType reductionType,
float labelSmoothing,
long classCount,
MLCTensor weights)

createCategoricalCrossEntropyLoss

public static MLCLossLayer createCategoricalCrossEntropyLoss(MLCReductionType reductionType,
float labelSmoothing,
long classCount,
float weight)

createCategoricalCrossEntropyLoss

public static MLCLossLayer createCategoricalCrossEntropyLoss(MLCReductionType reductionType,
float labelSmoothing,
long classCount,
MLCTensor weights)

createSigmoidCrossEntropyLoss

public static MLCLossLayer createSigmoidCrossEntropyLoss(MLCReductionType reductionType,
float labelSmoothing,
float weight)

createSigmoidCrossEntropyLoss

public static MLCLossLayer createSigmoidCrossEntropyLoss(MLCReductionType reductionType,
float labelSmoothing,
MLCTensor weights)

createLogLoss

public static MLCLossLayer createLogLoss(MLCReductionType reductionType,
float epsilon,
float weight)

createLogLoss

public static MLCLossLayer createLogLoss(MLCReductionType reductionType,
float epsilon,
MLCTensor weights)

createHuberLoss

public static MLCLossLayer createHuberLoss(MLCReductionType reductionType,
float delta,
float weight)

createHuberLoss

public static MLCLossLayer createHuberLoss(MLCReductionType reductionType,
float delta,
MLCTensor weights)

createMeanAbsoluteErrorLoss

public static MLCLossLayer createMeanAbsoluteErrorLoss(MLCReductionType reductionType,
float weight)

createMeanAbsoluteErrorLoss

public static MLCLossLayer createMeanAbsoluteErrorLoss(MLCReductionType reductionType,
MLCTensor weights)

createMeanSquaredErrorLoss

public static MLCLossLayer createMeanSquaredErrorLoss(MLCReductionType reductionType,
float weight)

createMeanSquaredErrorLoss

public static MLCLossLayer createMeanSquaredErrorLoss(MLCReductionType reductionType,
MLCTensor weights)

createHingeLoss

public static MLCLossLayer createHingeLoss(MLCReductionType reductionType,
float weight)

createHingeLoss

public static MLCLossLayer createHingeLoss(MLCReductionType reductionType,
MLCTensor weights)

createCosineDistanceLoss

public static MLCLossLayer createCosineDistanceLoss(MLCReductionType reductionType,
float weight)

createCosineDistanceLoss

public static MLCLossLayer createCosineDistanceLoss(MLCReductionType reductionType,
MLCTensor weights)

supportsDataType

public static boolean supportsDataType(MLCDataType dataType,
MLCDevice device)