/usr/include/ITK-4.5/itkGradientDescentOptimizerBasev4.hxx is in libinsighttoolkit4-dev 4.5.0-3.
This file is owned by root:root, with mode 0o644.
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*
* 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 __itkGradientDescentOptimizerBasev4_hxx
#define __itkGradientDescentOptimizerBasev4_hxx
#include "itkGradientDescentOptimizerBasev4.h"
#include "itkGradientDescentOptimizerBasev4ModifyGradientByScalesThreader.h"
#include "itkGradientDescentOptimizerBasev4ModifyGradientByLearningRateThreader.h"
namespace itk
{
//-------------------------------------------------------------------
template<typename TInternalComputationValueType>
GradientDescentOptimizerBasev4Template<TInternalComputationValueType>
::GradientDescentOptimizerBasev4Template()
{
/** Threader for apply scales to gradient */
typename GradientDescentOptimizerBasev4ModifyGradientByScalesThreaderTemplate<TInternalComputationValueType>::Pointer modifyGradientByScalesThreader =
GradientDescentOptimizerBasev4ModifyGradientByScalesThreaderTemplate<TInternalComputationValueType>::New();
this->m_ModifyGradientByScalesThreader = modifyGradientByScalesThreader;
/** Threader for apply the learning rate to gradient */
typename GradientDescentOptimizerBasev4ModifyGradientByLearningRateThreaderTemplate<TInternalComputationValueType>::Pointer modifyGradientByLearningRateThreader =
GradientDescentOptimizerBasev4ModifyGradientByLearningRateThreaderTemplate<TInternalComputationValueType>::New();
this->m_ModifyGradientByLearningRateThreader = modifyGradientByLearningRateThreader;
this->m_NumberOfIterations = 100;
this->m_CurrentIteration = 0;
this->m_StopCondition = MAXIMUM_NUMBER_OF_ITERATIONS;
this->m_StopConditionDescription << this->GetNameOfClass() << ": ";
}
//-------------------------------------------------------------------
template<typename TInternalComputationValueType>
GradientDescentOptimizerBasev4Template<TInternalComputationValueType>
::~GradientDescentOptimizerBasev4Template()
{}
//-------------------------------------------------------------------
template<typename TInternalComputationValueType>
void
GradientDescentOptimizerBasev4Template<TInternalComputationValueType>
::PrintSelf(std::ostream & os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "Number of iterations: " << this->m_NumberOfIterations << std::endl;
os << indent << "Current iteration: " << this->m_CurrentIteration << std::endl;
os << indent << "Stop condition:"<< this->m_StopCondition << std::endl;
os << indent << "Stop condition description: " << this->m_StopConditionDescription.str() << std::endl;
}
//-------------------------------------------------------------------
template<typename TInternalComputationValueType>
const typename GradientDescentOptimizerBasev4Template<TInternalComputationValueType>::StopConditionReturnStringType
GradientDescentOptimizerBasev4Template<TInternalComputationValueType>
::GetStopConditionDescription() const
{
return this->m_StopConditionDescription.str();
}
//-------------------------------------------------------------------
template<typename TInternalComputationValueType>
void
GradientDescentOptimizerBasev4Template<TInternalComputationValueType>
::StopOptimization(void)
{
itkDebugMacro( "StopOptimization called with a description - "
<< this->GetStopConditionDescription() );
this->m_Stop = true;
this->InvokeEvent( EndEvent() );
}
//-------------------------------------------------------------------
template<typename TInternalComputationValueType>
void
GradientDescentOptimizerBasev4Template<TInternalComputationValueType>
::ModifyGradientByScales()
{
if ( this->GetScalesAreIdentity() && this->GetWeightsAreIdentity() )
{
return;
}
IndexRangeType fullrange;
fullrange[0] = 0;
fullrange[1] = this->m_Gradient.GetSize()-1; //range is inclusive
/* Perform the modification either with or without threading */
if( this->m_Metric->HasLocalSupport() )
{
// Inheriting classes should instantiate and assign m_ModifyGradientByScalesThreader
// in their constructor.
itkAssertInDebugAndIgnoreInReleaseMacro( !m_ModifyGradientByScalesThreader.IsNull() );
this->m_ModifyGradientByScalesThreader->Execute( this, fullrange );
}
else
{
/* Global transforms are small, so update without threading. */
this->ModifyGradientByScalesOverSubRange( fullrange );
}
}
//-------------------------------------------------------------------
template<typename TInternalComputationValueType>
void
GradientDescentOptimizerBasev4Template<TInternalComputationValueType>
::ModifyGradientByLearningRate()
{
IndexRangeType fullrange;
fullrange[0] = 0;
fullrange[1] = this->m_Gradient.GetSize()-1; //range is inclusive
/* Perform the modification either with or without threading */
if( this->m_Metric->HasLocalSupport() )
{
// Inheriting classes should instantiate and assign m_ModifyGradientByLearningRateThreader
// in their constructor.
itkAssertInDebugAndIgnoreInReleaseMacro( !m_ModifyGradientByLearningRateThreader.IsNull() );
/* Add a check for m_LearningRateIsIdentity?
But m_LearningRate is not assessible here.
Should we declare it in a base class as m_Scales ? */
this->m_ModifyGradientByLearningRateThreader->Execute( this, fullrange );
}
else
{
/* Global transforms are small, so update without threading. */
this->ModifyGradientByLearningRateOverSubRange( fullrange );
}
}
} //namespace itk
#endif
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