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/*=========================================================================
*
* Copyright UMC Utrecht and contributors
*
* 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.
*
*=========================================================================*/
/*=========================================================================
*
* 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 itkGPUImageToImageFilter_hxx
#define itkGPUImageToImageFilter_hxx
#include "itkGPUImageToImageFilter.h"
#include "itkGPUImage.h"
namespace itk
{
template <typename TInputImage, typename TOutputImage, typename TParentImageFilter>
GPUImageToImageFilter<TInputImage, TOutputImage, TParentImageFilter>::GPUImageToImageFilter()
: m_GPUEnabled(true)
{
m_GPUKernelManager = OpenCLKernelManager::New();
Superclass::SetNumberOfWorkUnits(1);
}
//------------------------------------------------------------------------------
template <typename TInputImage, typename TOutputImage, typename TParentImageFilter>
void
GPUImageToImageFilter<TInputImage, TOutputImage, TParentImageFilter>::SetNumberOfWorkUnits(ThreadIdType _arg)
{
Superclass::SetNumberOfWorkUnits(1);
}
//------------------------------------------------------------------------------
template <typename TInputImage, typename TOutputImage, typename TParentImageFilter>
void
GPUImageToImageFilter<TInputImage, TOutputImage, TParentImageFilter>::PrintSelf(std::ostream & os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "GPU: " << (m_GPUEnabled ? "Enabled" : "Disabled") << std::endl;
}
//------------------------------------------------------------------------------
template <typename TInputImage, typename TOutputImage, typename TParentImageFilter>
void
GPUImageToImageFilter<TInputImage, TOutputImage, TParentImageFilter>::GenerateData()
{
if (!m_GPUEnabled) // call CPU update function
{
Superclass::GenerateData();
}
else // call GPU update function
{
// Call a method that can be overridden by a subclass to allocate
// memory for the filter's outputs
this->AllocateOutputs();
// Call a method that can be overridden by a subclass to perform
// some calculations prior to splitting the main computations into
// separate threads
this->BeforeThreadedGenerateData();
this->GPUGenerateData();
// Update CPU buffer for all outputs
using GPUOutputImageType = GPUImage<OutputImagePixelType, OutputImageDimension>;
for (OutputDataObjectIterator it(this); !it.IsAtEnd(); ++it)
{
GPUOutputImageType * GPUOutput = dynamic_cast<GPUOutputImageType *>(it.GetOutput());
if (GPUOutput)
{
GPUOutput->UpdateCPUBuffer();
}
}
// Call a method that can be overridden by a subclass to perform
// some calculations after all the threads have completed
this->AfterThreadedGenerateData();
}
}
//------------------------------------------------------------------------------
template <typename TInputImage, typename TOutputImage, typename TParentImageFilter>
void
GPUImageToImageFilter<TInputImage, TOutputImage, TParentImageFilter>::GraftOutput(DataObject * graft)
{
if (!graft)
{
itkExceptionMacro("Requested to graft output that is a NULL pointer");
}
using GPUOutputImage = typename itk::GPUTraits<TOutputImage>::Type;
typename GPUOutputImage::Pointer outputPtr;
try
{
outputPtr = dynamic_cast<GPUOutputImage *>(this->GetOutput());
}
catch (...)
{
return;
}
if (outputPtr.IsNotNull())
{
outputPtr->Graft(graft);
}
else
{
// pointer could not be cast back down
itkExceptionMacro("itk::GPUImageToImageFilter::GraftOutput() cannot cast " << typeid(graft).name() << " to "
<< typeid(GPUOutputImage *).name());
}
}
//------------------------------------------------------------------------------
template <typename TInputImage, typename TOutputImage, typename TParentImageFilter>
void
GPUImageToImageFilter<TInputImage, TOutputImage, TParentImageFilter>::GraftOutput(const DataObjectIdentifierType & key,
DataObject * graft)
{
if (!graft)
{
itkExceptionMacro("Requested to graft output that is a NULL pointer");
}
using GPUOutputImage = typename itk::GPUTraits<TOutputImage>::Type;
typename GPUOutputImage::Pointer outputPtr;
try
{
outputPtr = dynamic_cast<GPUOutputImage *>(this->ProcessObject::GetOutput(key));
}
catch (...)
{
return;
}
if (outputPtr.IsNotNull())
{
outputPtr->Graft(graft);
}
else
{
// pointer could not be cast back down
itkExceptionMacro("itk::GPUImageToImageFilter::GraftOutput() cannot cast " << typeid(graft).name() << " to "
<< typeid(GPUOutputImage *).name());
}
}
} // end namespace itk
#endif
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