/usr/include/ITK-4.5/itkErrorBackPropagationLearningFunctionBase.hxx is in libinsighttoolkit4-dev 4.5.0-3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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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 __itkErrorBackPropagationLearningFunctionBase_hxx
#define __itkErrorBackPropagationLearningFunctionBase_hxx
#include "itkErrorBackPropagationLearningFunctionBase.h"
#include "vnl/vnl_matrix.h"
namespace itk
{
namespace Statistics
{
template<typename LayerType, typename TTargetVector>
void
ErrorBackPropagationLearningFunctionBase<LayerType,TTargetVector>
::Learn( LayerInterfaceType * layer, ValueType lr )
{
typename LayerInterfaceType::WeightSetType::Pointer outputweightset;
typename LayerInterfaceType::WeightSetType::Pointer inputweightset;
outputweightset = layer->GetOutputWeightSet();
inputweightset = layer->GetInputWeightSet();
typename LayerInterfaceType::ValuePointer currentdeltavalues = inputweightset->GetTotalDeltaValues();
vnl_matrix<ValueType> DW_temp(currentdeltavalues,inputweightset->GetNumberOfOutputNodes(),
inputweightset->GetNumberOfInputNodes());
DW_temp *= lr;
inputweightset->SetDWValues(DW_temp.data_block());
typename LayerType::LayerInterfaceType::ValuePointer DBValues = inputweightset->GetDeltaBValues();
vnl_vector<ValueType> DB;
DB.set_size(inputweightset->GetNumberOfOutputNodes());
DB.fill(0);
DB.copy_in(DBValues);
DB *= lr;
inputweightset->SetDBValues(DB.data_block());
}
template<typename LayerType, typename TTargetVector>
void
ErrorBackPropagationLearningFunctionBase<LayerType,TTargetVector>
::Learn( LayerInterfaceType * , TTargetVector , ValueType )
{
}
/** Print the object */
template<typename LayerType, typename TTargetVector>
void
ErrorBackPropagationLearningFunctionBase<LayerType,TTargetVector>
::PrintSelf( std::ostream& os, Indent indent ) const
{
os << indent << "ErrorBackPropagationLearningFunctionBase(" << this << ")" << std::endl;
Superclass::PrintSelf( os, indent );
}
} // end namespace Statistics
} // end namespace itk
#endif
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