#include <itkGradientDescentOptimizerBasev4.h>

Detailed Description

template<typename TInternalComputationValueType>
class itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >

Definition at line 40 of file itkGradientDescentOptimizerBasev4.h.

Inheritance diagram for itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >:

Collaboration diagram for itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >:

Public Types
using	ConstPointer = SmartPointer< const Self >

using	ConvergenceMonitoringType = itk::Function::WindowConvergenceMonitoringFunction< TInternalComputationValueType >

using	IndexRangeType = ThreadedIndexedContainerPartitioner::IndexRangeType

using	InternalComputationValueType = TInternalComputationValueType

using	MetricTypePointer = typename MetricType::Pointer

using	Pointer = SmartPointer< Self >

using	Self = GradientDescentOptimizerBasev4Template

using	Superclass = ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >

Public Types inherited from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >
using	ConstPointer = SmartPointer< const Self >

using	DerivativeType = typename MetricType::DerivativeType

using	MeasureType = typename MetricType::MeasureType

using	MetricType = ObjectToObjectMetricBaseTemplate< TInternalComputationValueType >

using	MetricTypePointer = typename MetricType::Pointer

using	NumberOfParametersType = typename MetricType::NumberOfParametersType

using	ParametersType = OptimizerParameters< TInternalComputationValueType >

using	Pointer = SmartPointer< Self >

using	ScalesEstimatorType = OptimizerParameterScalesEstimatorTemplate< TInternalComputationValueType >

using	ScalesType = OptimizerParameters< TInternalComputationValueType >

using	Self = ObjectToObjectOptimizerBaseTemplate

using	StopConditionDescriptionType = std::ostringstream

using	StopConditionReturnStringType = std::string

using	Superclass = Object

Public Types inherited from itk::Object
using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	Self = Object

using	Superclass = LightObject

Public Types inherited from itk::LightObject
using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	Self = LightObject

Public Member Functions
virtual const DerivativeType &	GetGradient () const

const char *	GetNameOfClass () const override

virtual const StopConditionObjectToObjectOptimizerEnum &	GetStopCondition () const

StopConditionReturnStringType	GetStopConditionDescription () const override

virtual void	ModifyGradientByLearningRateOverSubRange (const IndexRangeType &subrange)=0

virtual void	ModifyGradientByScalesOverSubRange (const IndexRangeType &subrange)=0

virtual void	ResumeOptimization ()=0

void	StartOptimization (bool doOnlyInitialization=false) override

virtual void	StopOptimization ()


virtual void	ModifyGradientByScales ()

virtual void	ModifyGradientByLearningRate ()

Public Member Functions inherited from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >
virtual bool	CanUseScales () const

virtual SizeValueType	GetCurrentIteration () const

virtual const MeasureType &	GetCurrentMetricValue () const

virtual const ParametersType &	GetCurrentPosition () const

const char *	GetNameOfClass () const override

virtual SizeValueType	GetNumberOfIterations () const

virtual const ThreadIdType &	GetNumberOfWorkUnits () const

virtual const ScalesType &	GetScales () const

virtual const bool &	GetScalesAreIdentity () const

bool	GetScalesInitialized () const

virtual StopConditionReturnStringType	GetStopConditionDescription () const=0

virtual const MeasureType &	GetValue () const

virtual const ScalesType &	GetWeights () const

virtual const bool &	GetWeightsAreIdentity () const

virtual void	SetNumberOfIterations (SizeValueType _arg)

virtual void	SetNumberOfWorkUnits (ThreadIdType number)

virtual void	SetScalesEstimator (ScalesEstimatorType *_arg)

virtual void	SetWeights (ScalesType _arg)

virtual void	StartOptimization (bool doOnlyInitialization=false)

virtual void	SetMetric (MetricType *_arg)

virtual MetricType *	GetModifiableMetric ()

virtual void	SetScales (const ScalesType &scales)

virtual void	SetDoEstimateScales (bool _arg)

virtual const bool &	GetDoEstimateScales () const

virtual void	DoEstimateScalesOn ()

Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *cmd) const

unsigned long	AddObserver (const EventObject &event, std::function< void(const EventObject &)> function) const

LightObject::Pointer	CreateAnother () const override

virtual void	DebugOff () const

virtual void	DebugOn () const

Command *	GetCommand (unsigned long tag)

bool	GetDebug () const

MetaDataDictionary &	GetMetaDataDictionary ()

const MetaDataDictionary &	GetMetaDataDictionary () const

virtual ModifiedTimeType	GetMTime () const

const char *	GetNameOfClass () const override

virtual const TimeStamp &	GetTimeStamp () const

bool	HasObserver (const EventObject &event) const

void	InvokeEvent (const EventObject &)

void	InvokeEvent (const EventObject &) const

virtual void	Modified () const

void	Register () const override

void	RemoveAllObservers ()

void	RemoveObserver (unsigned long tag) const

void	SetDebug (bool debugFlag) const

void	SetReferenceCount (int) override

void	UnRegister () const noexcept override

void	SetMetaDataDictionary (const MetaDataDictionary &rhs)

void	SetMetaDataDictionary (MetaDataDictionary &&rrhs)

virtual void	SetObjectName (std::string _arg)

virtual const std::string &	GetObjectName () const

Public Member Functions inherited from itk::LightObject
Pointer	Clone () const

virtual Pointer	CreateAnother () const

virtual void	Delete ()

virtual const char *	GetNameOfClass () const

virtual int	GetReferenceCount () const

void	Print (std::ostream &os, Indent indent=0) const

virtual void	Register () const

virtual void	SetReferenceCount (int)

virtual void	UnRegister () const noexcept

Protected Member Functions
void	PrintSelf (std::ostream &os, Indent indent) const override


	GradientDescentOptimizerBasev4Template ()

	~GradientDescentOptimizerBasev4Template () override=default

Protected Member Functions inherited from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >
void	PrintSelf (std::ostream &os, Indent indent) const override

	ObjectToObjectOptimizerBaseTemplate ()

	~ObjectToObjectOptimizerBaseTemplate () override

Protected Member Functions inherited from itk::Object
	Object ()

bool	PrintObservers (std::ostream &os, Indent indent) const

void	PrintSelf (std::ostream &os, Indent indent) const override

virtual void	SetTimeStamp (const TimeStamp &timeStamp)

	~Object () override

Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer	InternalClone () const

	LightObject ()

virtual void	PrintHeader (std::ostream &os, Indent indent) const

virtual void	PrintSelf (std::ostream &os, Indent indent) const

virtual void	PrintTrailer (std::ostream &os, Indent indent) const

virtual	~LightObject ()

Protected Attributes
ConvergenceMonitoringType::Pointer	m_ConvergenceMonitoring {}

SizeValueType	m_ConvergenceWindowSize {}

bool	m_DoEstimateLearningRateAtEachIteration {}

bool	m_DoEstimateLearningRateOnce {}

DerivativeType	m_Gradient {}

TInternalComputationValueType	m_MaximumStepSizeInPhysicalUnits {}

DomainThreader< ThreadedIndexedContainerPartitioner, Self >::Pointer	m_ModifyGradientByLearningRateThreader {}

DomainThreader< ThreadedIndexedContainerPartitioner, Self >::Pointer	m_ModifyGradientByScalesThreader {}

bool	m_Stop { false }

StopConditionObjectToObjectOptimizerEnum	m_StopCondition {}

StopConditionDescriptionType	m_StopConditionDescription {}

bool	m_UseConvergenceMonitoring {}

Protected Attributes inherited from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >
SizeValueType	m_CurrentIteration

MeasureType	m_CurrentMetricValue

bool	m_DoEstimateScales

MetricTypePointer	m_Metric

SizeValueType	m_NumberOfIterations

ThreadIdType	m_NumberOfWorkUnits

ScalesType	m_Scales

bool	m_ScalesAreIdentity

ScalesEstimatorType::Pointer	m_ScalesEstimator

ScalesType	m_Weights

bool	m_WeightsAreIdentity

Protected Attributes inherited from itk::LightObject
std::atomic< int >	m_ReferenceCount {}

Additional Inherited Members
Static Public Member Functions inherited from itk::Object
static bool	GetGlobalWarningDisplay ()

static void	GlobalWarningDisplayOff ()

static void	GlobalWarningDisplayOn ()

static Pointer	New ()

static void	SetGlobalWarningDisplay (bool val)

Static Public Member Functions inherited from itk::LightObject
static void	BreakOnError ()

static Pointer	New ()

Member Typedef Documentation

◆ ConstPointer

template<typename TInternalComputationValueType >

using itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::ConstPointer = SmartPointer<const Self>

Definition at line 50 of file itkGradientDescentOptimizerBasev4.h.

◆ ConvergenceMonitoringType

template<typename TInternalComputationValueType >

using itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::ConvergenceMonitoringType = itk::Function::WindowConvergenceMonitoringFunction<TInternalComputationValueType>

Type for the convergence checker

Definition at line 97 of file itkGradientDescentOptimizerBasev4.h.

◆ IndexRangeType

template<typename TInternalComputationValueType >

using itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::IndexRangeType = ThreadedIndexedContainerPartitioner::IndexRangeType

Definition at line 142 of file itkGradientDescentOptimizerBasev4.h.

◆ InternalComputationValueType

template<typename TInternalComputationValueType >

using itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::InternalComputationValueType = TInternalComputationValueType

It should be possible to derive the internal computation type from the class object.

Definition at line 80 of file itkGradientDescentOptimizerBasev4.h.

◆ MetricTypePointer

template<typename TInternalComputationValueType >

using itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::MetricTypePointer = typename MetricType::Pointer

Definition at line 84 of file itkGradientDescentOptimizerBasev4.h.

◆ Pointer

template<typename TInternalComputationValueType >

using itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::Pointer = SmartPointer<Self>

Definition at line 49 of file itkGradientDescentOptimizerBasev4.h.

◆ Self

template<typename TInternalComputationValueType >

using itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::Self = GradientDescentOptimizerBasev4Template

Standard class type aliases.

Definition at line 47 of file itkGradientDescentOptimizerBasev4.h.

◆ Superclass

template<typename TInternalComputationValueType >

using itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::Superclass = ObjectToObjectOptimizerBaseTemplate<TInternalComputationValueType>

Definition at line 48 of file itkGradientDescentOptimizerBasev4.h.

Constructor & Destructor Documentation

◆ GradientDescentOptimizerBasev4Template()

template<typename TInternalComputationValueType >

itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::GradientDescentOptimizerBasev4Template ( )

protected

Default constructor

◆ ~GradientDescentOptimizerBasev4Template()

template<typename TInternalComputationValueType >

itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::~GradientDescentOptimizerBasev4Template ( )

overrideprotecteddefault

Default constructor

Member Function Documentation

◆ GetGradient()

template<typename TInternalComputationValueType >

virtual const DerivativeType & itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::GetGradient ( ) const

virtual

Get the most recent gradient values.

◆ GetNameOfClass()

template<typename TInternalComputationValueType >

const char * itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::GetNameOfClass ( ) const

overridevirtual

See also: LightObject::GetNameOfClass()

Reimplemented from itk::Object.

Reimplemented in itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >, itk::GradientDescentOptimizerv4Template< double >, itk::LBFGS2Optimizerv4Template< TInternalComputationValueType >, itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >, and itk::QuasiNewtonOptimizerv4Template< TInternalComputationValueType >.

◆ GetStopCondition()

template<typename TInternalComputationValueType >

virtual const StopConditionObjectToObjectOptimizerEnum & itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::GetStopCondition ( ) const

virtual

Get stop condition enum

Reimplemented in itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >.

◆ GetStopConditionDescription()

template<typename TInternalComputationValueType >

StopConditionReturnStringType itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::GetStopConditionDescription ( ) const

overridevirtual

Get the reason for termination

Implements itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >.

Reimplemented in itk::LBFGS2Optimizerv4Template< TInternalComputationValueType >, and itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >.

◆ ModifyGradientByLearningRate()

template<typename TInternalComputationValueType >

virtual void itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::ModifyGradientByLearningRate ( )

virtual

Modify the gradient in place, to advance the optimization. This call performs a threaded modification for transforms with local support (assumed to be dense). Otherwise the modification is performed w/out threading. See EstimateLearningRate() to perform optionally learning rate estimation. At completion, m_Gradient can be used to update the transform parameters. Derived classes may hold additional results in other member variables.

See also: EstimateLearningRate()

◆ ModifyGradientByLearningRateOverSubRange()

template<typename TInternalComputationValueType >

virtual void itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::ModifyGradientByLearningRateOverSubRange ( const IndexRangeType & subrange )

pure virtual

Derived classes define this worker method to modify the gradient by learning rates. Modifications must be performed over the index range defined in subrange. Called from ModifyGradientByLearningRate(), either directly or via threaded operation. This function is used in GradientDescentOptimizerBasev4ModifyGradientByScalesThreaderTemplate and GradientDescentOptimizerBasev4ModifyGradientByLearningRateThreaderTemplate classes.

Implemented in itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >, itk::GradientDescentOptimizerv4Template< double >, and itk::RegularStepGradientDescentOptimizerv4< TInternalComputationValueType >.

◆ ModifyGradientByScales()

template<typename TInternalComputationValueType >

virtual void itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::ModifyGradientByScales ( )

virtual

Modify the gradient in place, to advance the optimization. This call performs a threaded modification for transforms with local support (assumed to be dense). Otherwise the modification is performed w/out threading. See EstimateLearningRate() to perform optionally learning rate estimation. At completion, m_Gradient can be used to update the transform parameters. Derived classes may hold additional results in other member variables.

See also: EstimateLearningRate()

◆ ModifyGradientByScalesOverSubRange()

template<typename TInternalComputationValueType >

virtual void itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::ModifyGradientByScalesOverSubRange ( const IndexRangeType & subrange )

pure virtual

Derived classes define this worker method to modify the gradient by scales. Modifications must be performed over the index range defined in subrange. Called from ModifyGradientByScales(), either directly or via threaded operation.

Implemented in itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >, itk::GradientDescentOptimizerv4Template< double >, and itk::RegularStepGradientDescentOptimizerv4< TInternalComputationValueType >.

◆ PrintSelf()

template<typename TInternalComputationValueType >

void itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::PrintSelf	(	std::ostream &	os,
		Indent	indent
	)		const

overrideprotectedvirtual

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

Reimplemented from itk::Object.

Reimplemented in itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >, itk::GradientDescentOptimizerv4Template< double >, itk::LBFGS2Optimizerv4Template< TInternalComputationValueType >, itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >, and itk::QuasiNewtonOptimizerv4Template< TInternalComputationValueType >.

◆ ResumeOptimization()

template<typename TInternalComputationValueType >

virtual void itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::ResumeOptimization ( )

pure virtual

Resume optimization. This runs the optimization loop, and allows continuation of stopped optimization

Implemented in itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >, itk::GradientDescentOptimizerv4Template< double >, itk::LBFGS2Optimizerv4Template< TInternalComputationValueType >, and itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >.

◆ StartOptimization()

template<typename TInternalComputationValueType >

void itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::StartOptimization ( bool doOnlyInitialization = false )

overridevirtual

Start and run the optimization

Reimplemented from itk::ObjectToObjectOptimizerBaseTemplate< TInternalComputationValueType >.

Reimplemented in itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >, itk::GradientDescentOptimizerv4Template< double >, itk::LBFGS2Optimizerv4Template< TInternalComputationValueType >, itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >, and itk::QuasiNewtonOptimizerv4Template< TInternalComputationValueType >.

◆ StopOptimization()

template<typename TInternalComputationValueType >

virtual void itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::StopOptimization ( )

virtual

Stop optimization. The object is left in a state so the optimization can be resumed by calling ResumeOptimization.

Reimplemented in itk::GradientDescentOptimizerv4Template< TInternalComputationValueType >, itk::GradientDescentOptimizerv4Template< double >, and itk::MultiGradientOptimizerv4Template< TInternalComputationValueType >.

Member Data Documentation

◆ m_ConvergenceMonitoring

template<typename TInternalComputationValueType >

ConvergenceMonitoringType::Pointer itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::m_ConvergenceMonitoring {}

protected

The convergence checker.

Definition at line 200 of file itkGradientDescentOptimizerBasev4.h.

◆ m_ConvergenceWindowSize

template<typename TInternalComputationValueType >

SizeValueType itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::m_ConvergenceWindowSize {}

protected

Window size for the convergence checker. The convergence checker calculates convergence value by fitting to a window of the energy (metric value) profile.

Definition at line 197 of file itkGradientDescentOptimizerBasev4.h.

◆ m_DoEstimateLearningRateAtEachIteration

template<typename TInternalComputationValueType >

bool itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::m_DoEstimateLearningRateAtEachIteration {}

protected

Flag to control use of the ScalesEstimator (if set) for automatic learning step estimation at each iteration.

Definition at line 172 of file itkGradientDescentOptimizerBasev4.h.

◆ m_DoEstimateLearningRateOnce

template<typename TInternalComputationValueType >

bool itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::m_DoEstimateLearningRateOnce {}

protected

Flag to control use of the ScalesEstimator (if set) for automatic learning step estimation only once, during first iteration.

Definition at line 177 of file itkGradientDescentOptimizerBasev4.h.

◆ m_Gradient

template<typename TInternalComputationValueType >

DerivativeType itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::m_Gradient {}

protected

Current gradient

Definition at line 211 of file itkGradientDescentOptimizerBasev4.h.

◆ m_MaximumStepSizeInPhysicalUnits

template<typename TInternalComputationValueType >

TInternalComputationValueType itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::m_MaximumStepSizeInPhysicalUnits {}

protected

The maximum step size in physical units, to restrict learning rates. Only used with automatic learning rate estimation. It may be initialized either by calling SetMaximumStepSizeInPhysicalUnits manually or by using m_ScalesEstimator automatically, and the former has higher priority than the latter. See main documentation.

Definition at line 185 of file itkGradientDescentOptimizerBasev4.h.

◆ m_ModifyGradientByLearningRateThreader

template<typename TInternalComputationValueType >

DomainThreader<ThreadedIndexedContainerPartitioner,Self>::Pointer itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::m_ModifyGradientByLearningRateThreader {}

protected

Definition at line 203 of file itkGradientDescentOptimizerBasev4.h.

◆ m_ModifyGradientByScalesThreader

template<typename TInternalComputationValueType >

DomainThreader<ThreadedIndexedContainerPartitioner,Self>::Pointer itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::m_ModifyGradientByScalesThreader {}

protected

Definition at line 202 of file itkGradientDescentOptimizerBasev4.h.

◆ m_Stop

template<typename TInternalComputationValueType >

bool itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::m_Stop { false }

protected

Definition at line 206 of file itkGradientDescentOptimizerBasev4.h.

◆ m_StopCondition

template<typename TInternalComputationValueType >

StopConditionObjectToObjectOptimizerEnum itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::m_StopCondition {}

protected

Definition at line 207 of file itkGradientDescentOptimizerBasev4.h.

◆ m_StopConditionDescription

template<typename TInternalComputationValueType >

StopConditionDescriptionType itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::m_StopConditionDescription {}

protected

Definition at line 208 of file itkGradientDescentOptimizerBasev4.h.

◆ m_UseConvergenceMonitoring

template<typename TInternalComputationValueType >

bool itk::GradientDescentOptimizerBasev4Template< TInternalComputationValueType >::m_UseConvergenceMonitoring {}

protected

Flag to control using the convergence monitoring for stop condition. This flag should be always set to true except for regular step gradient descent optimizer that uses minimum step length to check the convergence.

Definition at line 191 of file itkGradientDescentOptimizerBasev4.h.

The documentation for this class was generated from the following file:

itkGradientDescentOptimizerBasev4.h

Detailed Description

Public Types

Public Member Functions

Protected Member Functions

Protected Attributes

Additional Inherited Members

Member Typedef Documentation

◆ ConstPointer

◆ ConvergenceMonitoringType

◆ IndexRangeType

◆ InternalComputationValueType

◆ MetricTypePointer

◆ Pointer

◆ Self

◆ Superclass

Constructor & Destructor Documentation

◆ GradientDescentOptimizerBasev4Template()

◆ ~GradientDescentOptimizerBasev4Template()

Member Function Documentation

◆ GetGradient()

◆ GetNameOfClass()

◆ GetStopCondition()

◆ GetStopConditionDescription()

◆ ModifyGradientByLearningRate()

◆ ModifyGradientByLearningRateOverSubRange()

◆ ModifyGradientByScales()

◆ ModifyGradientByScalesOverSubRange()

◆ PrintSelf()

◆ ResumeOptimization()

◆ StartOptimization()

◆ StopOptimization()

Member Data Documentation

◆ m_ConvergenceMonitoring

◆ m_ConvergenceWindowSize

◆ m_DoEstimateLearningRateAtEachIteration

◆ m_DoEstimateLearningRateOnce

◆ m_Gradient

◆ m_MaximumStepSizeInPhysicalUnits

◆ m_ModifyGradientByLearningRateThreader

◆ m_ModifyGradientByScalesThreader

◆ m_Stop

◆ m_StopCondition

◆ m_StopConditionDescription

◆ m_UseConvergenceMonitoring