Package org.robovm.apple.metalps

Class MPSNNOptimizerStochasticGradientDescent

java.lang.Object

org.robovm.rt.bro.NativeObject

org.robovm.objc.ObjCObject

org.robovm.apple.foundation.NSObject

org.robovm.apple.metalps.MPSKernel

org.robovm.apple.metalps.MPSNNOptimizer

org.robovm.apple.metalps.MPSNNOptimizerStochasticGradientDescent

All Implemented Interfaces:

NSCoding, NSObjectProtocol, NSSecureCoding, org.robovm.objc.ObjCProtocol

public class MPSNNOptimizerStochasticGradientDescent
extends MPSNNOptimizer

Since:

Available in iOS 12.0 and later.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	MPSNNOptimizerStochasticGradientDescent.MPSNNOptimizerStochasticGradientDescentPtr

Nested classes/interfaces inherited from class org.robovm.apple.metalps.MPSNNOptimizer

MPSNNOptimizer.MPSNNOptimizerPtr

Nested classes/interfaces inherited from class org.robovm.apple.metalps.MPSKernel

MPSKernel.MPSKernelPtr

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

org.robovm.objc.ObjCObject.ObjCObjectPtr, org.robovm.objc.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
	MPSNNOptimizerStochasticGradientDescent()
	MPSNNOptimizerStochasticGradientDescent(NSCoder decoder)
	MPSNNOptimizerStochasticGradientDescent(NSCoder decoder, MTLDevice device)
protected	MPSNNOptimizerStochasticGradientDescent(NSObject.Handle h, long handle)
protected	MPSNNOptimizerStochasticGradientDescent(NSObject.SkipInit skipInit)
	MPSNNOptimizerStochasticGradientDescent(MTLDevice device, float learningRate)
	MPSNNOptimizerStochasticGradientDescent(MTLDevice device, float momentumScale, boolean useNestrovMomentum, MPSNNOptimizerDescriptor optimizerDescriptor)

Method Summary

Modifier and Type	Method	Description
void	encodeToCommandBuffer(MTLCommandBuffer commandBuffer, MPSCNNBatchNormalizationState batchNormalizationState, NSArray<MPSVector> inputMomentumVectors, MPSCNNNormalizationGammaAndBetaState resultState)
void	encodeToCommandBuffer(MTLCommandBuffer commandBuffer, MPSCNNBatchNormalizationState batchNormalizationGradientState, MPSCNNBatchNormalizationState batchNormalizationSourceState, NSArray<MPSVector> inputMomentumVectors, MPSCNNNormalizationGammaAndBetaState resultState)
void	encodeToCommandBuffer(MTLCommandBuffer commandBuffer, MPSCNNConvolutionGradientState convolutionGradientState, MPSCNNConvolutionWeightsAndBiasesState convolutionSourceState, NSArray<MPSVector> inputMomentumVectors, MPSCNNConvolutionWeightsAndBiasesState resultState)
void	encodeToCommandBuffer(MTLCommandBuffer commandBuffer, MPSVector inputGradientVector, MPSVector inputValuesVector, MPSVector inputMomentumVector, MPSVector resultValuesVector)
float	getMomentumScale()
protected long	init(MTLDevice device, float learningRate)
protected long	init(MTLDevice device, float momentumScale, boolean useNestrovMomentum, MPSNNOptimizerDescriptor optimizerDescriptor)
boolean	isUseNestrovMomentum()

Methods inherited from class org.robovm.apple.metalps.MPSNNOptimizer

getGradientClipMax, getGradientClipMin, getGradientRescale, getLearningRate, getRegularizationScale, getRegularizationType, isApplyGradientClipping, setApplyGradientClipping, setLearningRate

Methods inherited from class org.robovm.apple.metalps.MPSKernel

copy, encode, getDevice, getLabel, getOptions, init, init, init, setLabel, setOptions, supportsSecureCoding

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 Detail

MPSNNOptimizerStochasticGradientDescent

public MPSNNOptimizerStochasticGradientDescent()

MPSNNOptimizerStochasticGradientDescent

protected MPSNNOptimizerStochasticGradientDescent(NSObject.Handle h,
                                                  long handle)

MPSNNOptimizerStochasticGradientDescent

protected MPSNNOptimizerStochasticGradientDescent(NSObject.SkipInit skipInit)

MPSNNOptimizerStochasticGradientDescent

public MPSNNOptimizerStochasticGradientDescent(MTLDevice device,
                                               float learningRate)

MPSNNOptimizerStochasticGradientDescent

public MPSNNOptimizerStochasticGradientDescent(MTLDevice device,
                                               float momentumScale,
                                               boolean useNestrovMomentum,
                                               MPSNNOptimizerDescriptor optimizerDescriptor)

MPSNNOptimizerStochasticGradientDescent

public MPSNNOptimizerStochasticGradientDescent(NSCoder decoder)

MPSNNOptimizerStochasticGradientDescent

public MPSNNOptimizerStochasticGradientDescent(NSCoder decoder,
                                               MTLDevice device)

Since:

Available in iOS 11.0 and later.

Method Detail

getMomentumScale

public float getMomentumScale()

isUseNestrovMomentum

public boolean isUseNestrovMomentum()

init

protected long init(MTLDevice device,
                    float learningRate)

init

protected long init(MTLDevice device,
                    float momentumScale,
                    boolean useNestrovMomentum,
                    MPSNNOptimizerDescriptor optimizerDescriptor)

encodeToCommandBuffer

public void encodeToCommandBuffer(MTLCommandBuffer commandBuffer,
                                  MPSVector inputGradientVector,
                                  MPSVector inputValuesVector,
                                  MPSVector inputMomentumVector,
                                  MPSVector resultValuesVector)

encodeToCommandBuffer

public void encodeToCommandBuffer(MTLCommandBuffer commandBuffer,
                                  MPSCNNConvolutionGradientState convolutionGradientState,
                                  MPSCNNConvolutionWeightsAndBiasesState convolutionSourceState,
                                  NSArray<MPSVector> inputMomentumVectors,
                                  MPSCNNConvolutionWeightsAndBiasesState resultState)

encodeToCommandBuffer

public void encodeToCommandBuffer(MTLCommandBuffer commandBuffer,
                                  MPSCNNBatchNormalizationState batchNormalizationState,
                                  NSArray<MPSVector> inputMomentumVectors,
                                  MPSCNNNormalizationGammaAndBetaState resultState)

encodeToCommandBuffer

public void encodeToCommandBuffer(MTLCommandBuffer commandBuffer,
                                  MPSCNNBatchNormalizationState batchNormalizationGradientState,
                                  MPSCNNBatchNormalizationState batchNormalizationSourceState,
                                  NSArray<MPSVector> inputMomentumVectors,
                                  MPSCNNNormalizationGammaAndBetaState resultState)