/usr/include/ITK-4.9/itkGPUScalarAnisotropicDiffusionFunction.hxx is in libinsighttoolkit4-dev 4.9.0-4ubuntu1.
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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 itkGPUScalarAnisotropicDiffusionFunction_hxx
#define itkGPUScalarAnisotropicDiffusionFunction_hxx
#include "itkConstNeighborhoodIterator.h"
#include "itkNeighborhoodInnerProduct.h"
#include "itkNeighborhoodAlgorithm.h"
#include "itkDerivativeOperator.h"
#include "itkGPUScalarAnisotropicDiffusionFunction.h"
namespace itk
{
template< typename TImage >
GPUScalarAnisotropicDiffusionFunction< TImage >
::GPUScalarAnisotropicDiffusionFunction()
{
this->m_AnisotropicDiffusionFunctionGPUBuffer = GPUDataManager::New();
this->m_AnisotropicDiffusionFunctionGPUKernelManager = GPUKernelManager::New();
// load GPU kernel
std::ostringstream defines;
if(ImageDimension > 3 || ImageDimension < 1)
{
itkExceptionMacro("GPUScalarAnisotropicDiffusionFunction supports 1/2/3D image.");
}
defines << "#define DIM_" << ImageDimension << "\n";
defines << "#define PIXELTYPE ";
GetTypenameInString( typeid ( typename TImage::PixelType ), defines );
std::cout << "Defines: " << defines.str() << std::endl;
const char* GPUSource = GPUScalarAnisotropicDiffusionFunction::GetOpenCLSource();
// load and build program
this->m_AnisotropicDiffusionFunctionGPUKernelManager->LoadProgramFromString( GPUSource, defines.str().c_str() );
// create kernel
this->m_AverageGradientMagnitudeSquaredGPUKernelHandle =
this->m_AnisotropicDiffusionFunctionGPUKernelManager->CreateKernel("AverageGradientMagnitudeSquared");
}
template< typename TImage >
void
GPUScalarAnisotropicDiffusionFunction< TImage >
::GPUCalculateAverageGradientMagnitudeSquared(TImage *ip)
{
// GPU kernel to compute Average Squared Gradient Magnitude
typedef typename itk::GPUTraits< TImage >::Type GPUImageType;
typename GPUImageType::Pointer inPtr = dynamic_cast< GPUImageType * >( ip );
typename GPUImageType::SizeType outSize = inPtr->GetLargestPossibleRegion().GetSize();
int imgSize[3];
imgSize[0] = imgSize[1] = imgSize[2] = 1;
float imgScale[3];
imgScale[0] = imgScale[1] = imgScale[2] = 1.0f;
int ImageDim = (int)TImage::ImageDimension;
size_t localSize[3], globalSize[3];
localSize[0] = localSize[1] = localSize[2] = 1;
globalSize[0] = globalSize[1] = globalSize[2] = 1;
unsigned int blockSize = OpenCLGetLocalBlockSize(ImageDim);
unsigned int numPixel = 1;
unsigned int bufferSize = 1;
for(int i=0; i<ImageDim; i++)
{
imgSize[i] = outSize[i];
imgScale[i] = this->m_ScaleCoefficients[i];
localSize[i] = (blockSize <= outSize[i]) ? blockSize : 1;
globalSize[i] = localSize[i]*(unsigned int)ceil( (float)outSize[i]/(float)localSize[i]); //
// total
// #
// of
// threads
bufferSize *= globalSize[i]/localSize[i];
numPixel *= imgSize[i];
}
// Initialize & Allocate GPU Buffer
if(bufferSize != this->m_AnisotropicDiffusionFunctionGPUBuffer->GetBufferSize() )
{
this->m_AnisotropicDiffusionFunctionGPUBuffer->Initialize();
this->m_AnisotropicDiffusionFunctionGPUBuffer->SetBufferSize( sizeof(float)*bufferSize );
this->m_AnisotropicDiffusionFunctionGPUBuffer->Allocate();
}
typename GPUKernelManager::Pointer kernelManager = this->m_AnisotropicDiffusionFunctionGPUKernelManager;
int kernelHandle = this->m_AverageGradientMagnitudeSquaredGPUKernelHandle;
// Set arguments
int argidx = 0;
kernelManager->SetKernelArgWithImage(kernelHandle, argidx++, inPtr->GetGPUDataManager() );
kernelManager->SetKernelArgWithImage(kernelHandle, argidx++, this->m_AnisotropicDiffusionFunctionGPUBuffer);
// Set shared memory args
if (ImageDim == 2)
{
kernelManager->SetKernelArg(kernelHandle, argidx++, sizeof(float) * localSize[0] * localSize[1], ITK_NULLPTR);
kernelManager->SetKernelArg(kernelHandle, argidx++, sizeof(float) * localSize[0], ITK_NULLPTR);
kernelManager->SetKernelArg(kernelHandle, argidx++, sizeof(float) * localSize[0], ITK_NULLPTR);
kernelManager->SetKernelArg(kernelHandle, argidx++, sizeof(float) * localSize[1], ITK_NULLPTR);
kernelManager->SetKernelArg(kernelHandle, argidx++, sizeof(float) * localSize[1], ITK_NULLPTR);
}
else if (ImageDim == 3)
{
kernelManager->SetKernelArg(kernelHandle, argidx++, sizeof(float) * localSize[0] * localSize[1] * localSize[2], ITK_NULLPTR);
kernelManager->SetKernelArg(kernelHandle, argidx++, sizeof(float) * localSize[0] * localSize[1], ITK_NULLPTR);
kernelManager->SetKernelArg(kernelHandle, argidx++, sizeof(float) * localSize[0] * localSize[1], ITK_NULLPTR);
kernelManager->SetKernelArg(kernelHandle, argidx++, sizeof(float) * localSize[0] * localSize[2], ITK_NULLPTR);
kernelManager->SetKernelArg(kernelHandle, argidx++, sizeof(float) * localSize[0] * localSize[2], ITK_NULLPTR);
kernelManager->SetKernelArg(kernelHandle, argidx++, sizeof(float) * localSize[1] * localSize[2], ITK_NULLPTR);
kernelManager->SetKernelArg(kernelHandle, argidx++, sizeof(float) * localSize[1] * localSize[2], ITK_NULLPTR);
}
else
{
// no need to set shared memory args when dimension is not 2 or 3
}
// Set filter scale parameter
for(int i=0; i<ImageDim; i++)
{
kernelManager->SetKernelArg(kernelHandle, argidx++, sizeof(float), &(imgScale[i]) );
}
// Set image size
for(int i=0; i<ImageDim; i++)
{
kernelManager->SetKernelArg(kernelHandle, argidx++, sizeof(int), &(imgSize[i]) );
}
// launch kernel
kernelManager->LaunchKernel(kernelHandle, ImageDim, globalSize, localSize );
// Read back intermediate sums from GPU and compute final value
double sum = 0;
float *intermSum = new float[bufferSize];
this->m_AnisotropicDiffusionFunctionGPUBuffer->SetCPUBufferPointer( intermSum );
this->m_AnisotropicDiffusionFunctionGPUBuffer->SetCPUDirtyFlag( true ); //
// CPU
// is
// dirty
this->m_AnisotropicDiffusionFunctionGPUBuffer->SetGPUDirtyFlag( false );
this->m_AnisotropicDiffusionFunctionGPUBuffer->UpdateCPUBuffer(); //
// Copy
// GPU->CPU
for(int i=0; i<(int)bufferSize; i++)
{
sum += (double)intermSum[i];
}
this->SetAverageGradientMagnitudeSquared( (double)( sum / (double)numPixel ) );
delete[] intermSum;
}
} // end namespace itk
#endif
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