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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.
*
*=========================================================================*/
#include "itkGradientDescentOptimizerBasev4.h"
#include "itkImage.h"
#include "itkTestingMacros.h"
/* Create a simple metric to use for testing here. */
template< typename TFixedObject, typename TMovingObject >
class GradientDescentOptimizerBasev4TestMetric:
public itk::ObjectToObjectMetricBase
{
public:
/** Standard class typedefs. */
typedef GradientDescentOptimizerBasev4TestMetric Self;
typedef itk::ObjectToObjectMetricBase Superclass;
typedef itk::SmartPointer< Self > Pointer;
typedef itk::SmartPointer< const Self > ConstPointer;
typedef typename Superclass::MeasureType MeasureType;
typedef typename Superclass::DerivativeType DerivativeType;
typedef typename Superclass::ParametersType ParametersType;
typedef typename Superclass::ParametersValueType ParametersValueType;
itkTypeMacro(GradientDescentOptimizerBasev4TestMetric, ObjectToObjectMetricBase);
itkNewMacro(Self);
// Pure virtual functions that all Metrics must provide
virtual unsigned int GetNumberOfParameters() const ITK_OVERRIDE { return 5; }
virtual MeasureType GetValue() const ITK_OVERRIDE
{
return itk::NumericTraits< MeasureType >::OneValue();
}
virtual void GetDerivative( DerivativeType & derivative ) const ITK_OVERRIDE
{
derivative.Fill( itk::NumericTraits< ParametersValueType >::ZeroValue() );
}
virtual void GetValueAndDerivative( MeasureType & value, DerivativeType & derivative ) const ITK_OVERRIDE
{
value = itk::NumericTraits< MeasureType >::OneValue();
derivative.Fill( itk::NumericTraits< ParametersValueType >::ZeroValue() );
}
virtual unsigned int GetNumberOfLocalParameters() const ITK_OVERRIDE
{ return 3; }
virtual void UpdateTransformParameters( const DerivativeType &, ParametersValueType ) ITK_OVERRIDE {}
virtual const ParametersType & GetParameters() const ITK_OVERRIDE
{ return m_Parameters; }
virtual void SetParameters( ParametersType & ) ITK_OVERRIDE {}
virtual bool HasLocalSupport() const ITK_OVERRIDE
{
return false;
}
virtual void Initialize(void) ITK_OVERRIDE {}
virtual void PrintSelf(std::ostream& os, itk::Indent indent) const ITK_OVERRIDE
{ Superclass::PrintSelf( os, indent ); }
protected:
~GradientDescentOptimizerBasev4TestMetric() ITK_OVERRIDE {}
private:
GradientDescentOptimizerBasev4TestMetric() {}
ITK_DISALLOW_COPY_AND_ASSIGN(GradientDescentOptimizerBasev4TestMetric);
ParametersType m_Parameters;
};
/* Define a simple derived optimizer class.
* \class GradientDescentOptimizerBasev4TestOptimizer */
class GradientDescentOptimizerBasev4TestOptimizer
: public itk::GradientDescentOptimizerBasev4
{
public:
/** Standard "Self" typedef. */
typedef GradientDescentOptimizerBasev4TestOptimizer Self;
typedef itk::GradientDescentOptimizerBasev4 Superclass;
typedef itk::SmartPointer< Self > Pointer;
typedef itk::SmartPointer< const Self > ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro( GradientDescentOptimizerBasev4TestOptimizer,
GradientDescentOptimizerBasev4);
/* Provide an override for the pure virtual StartOptimization */
virtual void StartOptimization( bool doOnlyInitialization = false ) ITK_OVERRIDE
{
Superclass::StartOptimization( doOnlyInitialization );
std::cout << "StartOptimization called. doOnlyInitialization: " << doOnlyInitialization << std::endl;
}
virtual void ResumeOptimization() ITK_OVERRIDE
{
std::cout << "ResumeOptimization called." << std::endl;
}
virtual void ModifyGradientByScalesOverSubRange (const IndexRangeType& index ) ITK_OVERRIDE
{
std::cout << "ModifyGradientByScalesOverSubRange called with index:"
<< index << std::endl;
}
virtual void ModifyGradientByLearningRateOverSubRange (const IndexRangeType& index ) ITK_OVERRIDE
{
std::cout << "ModifyGradientByLearningRateOverSubRange called with index:"
<< index << std::endl;
}
protected:
GradientDescentOptimizerBasev4TestOptimizer(){}
~GradientDescentOptimizerBasev4TestOptimizer() ITK_OVERRIDE {}
private:
ITK_DISALLOW_COPY_AND_ASSIGN(GradientDescentOptimizerBasev4TestOptimizer);
};
int itkGradientDescentOptimizerBasev4Test(int , char* [])
{
const int ImageDimension = 2;
typedef itk::Image<double, ImageDimension> ImageType;
typedef GradientDescentOptimizerBasev4TestMetric<ImageType,ImageType> MetricType;
MetricType::Pointer metric = MetricType::New();
GradientDescentOptimizerBasev4TestOptimizer::Pointer optimizer = GradientDescentOptimizerBasev4TestOptimizer::New();
/* exercise some methods */
optimizer->SetMetric( metric );
if( optimizer->GetMetric() != metric )
{
std::cerr << "Set/GetMetric failed." << std::endl;
return EXIT_FAILURE;
}
std::cout << "value: " << optimizer->GetCurrentMetricValue() << std::endl;
optimizer->SetNumberOfThreads( 2 );
TRY_EXPECT_NO_EXCEPTION( optimizer->StartOptimization() );
std::cout << "Printing self.." << std::endl;
std::cout << optimizer << std::endl;
std::cout << "Test passed." << std::endl;
return EXIT_SUCCESS;
}
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