itkRegularStepGradientDescentOptimizerv4.h

Go to the documentation of this file.

/*=========================================================================
 *
 *  Copyright Insight Software Consortium
 *
 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
 *  You may obtain a copy of the License at
 *
 *         http://www.apache.org/licenses/LICENSE-2.0.txt
 *
 *  Unless required by applicable law or agreed to in writing, software
 *  distributed under the License is distributed on an "AS IS" BASIS,
 *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  See the License for the specific language governing permissions and
 *  limitations under the License.
 *
 *=========================================================================*/
#ifndef itkRegularStepGradientDescentOptimizerv4_h
#define itkRegularStepGradientDescentOptimizerv4_h

#include "itkGradientDescentOptimizerv4.h"
#include <itkCompensatedSummation.h>

namespace itk
{
template<typename TInternalComputationValueType>
class ITK_TEMPLATE_EXPORT RegularStepGradientDescentOptimizerv4
: public GradientDescentOptimizerv4Template<TInternalComputationValueType>
{
public:
  typedef RegularStepGradientDescentOptimizerv4                               Self;
  typedef GradientDescentOptimizerv4Template<TInternalComputationValueType>   Superclass;
  typedef SmartPointer< Self >                                                Pointer;
  typedef SmartPointer< const Self >                                          ConstPointer;

  itkTypeMacro(RegularStepGradientDescentOptimizerv4, GradientDescentOptimizerv4Template);

  itkNewMacro(Self);


  typedef TInternalComputationValueType                     InternalComputationValueType;

  typedef typename Superclass::DerivativeType               DerivativeType;

  typedef typename Superclass::MeasureType                  MeasureType;
  typedef typename Superclass::IndexRangeType               IndexRangeType;
  typedef typename Superclass::ScalesType                   ScalesType;
  typedef typename Superclass::ParametersType               ParametersType;
  typedef typename Superclass::StopConditionType            StopConditionType;

  typedef CompensatedSummation< InternalComputationValueType >   CompensatedSummationType;

  itkSetMacro(MinimumStepLength, TInternalComputationValueType);
  itkGetConstReferenceMacro(MinimumStepLength, TInternalComputationValueType);

  itkSetMacro(RelaxationFactor, TInternalComputationValueType);
  itkGetConstReferenceMacro(RelaxationFactor, TInternalComputationValueType);

  itkSetMacro(GradientMagnitudeTolerance, TInternalComputationValueType);
  itkGetConstReferenceMacro(GradientMagnitudeTolerance, TInternalComputationValueType);

  itkSetMacro(CurrentLearningRateRelaxation, MeasureType);
  itkGetConstReferenceMacro(CurrentLearningRateRelaxation, MeasureType);

  virtual void StartOptimization( bool doOnlyInitialization = false ) ITK_OVERRIDE;

  virtual void EstimateLearningRate() ITK_OVERRIDE;

  double GetCurrentStepLength() const;

protected:

  virtual void AdvanceOneStep(void) ITK_OVERRIDE;

  virtual void ModifyGradientByScalesOverSubRange( const IndexRangeType& subrange ) ITK_OVERRIDE;
  virtual void ModifyGradientByLearningRateOverSubRange( const IndexRangeType& subrange ) ITK_OVERRIDE;


  RegularStepGradientDescentOptimizerv4();

  virtual ~RegularStepGradientDescentOptimizerv4() ITK_OVERRIDE;

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


private:
  ITK_DISALLOW_COPY_AND_ASSIGN(RegularStepGradientDescentOptimizerv4);

  TInternalComputationValueType  m_RelaxationFactor;

  TInternalComputationValueType  m_MinimumStepLength;

  TInternalComputationValueType  m_GradientMagnitudeTolerance;

  MeasureType                  m_CurrentLearningRateRelaxation;
};

} // end namespace itk

#ifndef ITK_MANUAL_INSTANTIATION
#include "itkRegularStepGradientDescentOptimizerv4.hxx"
#endif

#endif