4.3.4.1.5 : Le fichier main_intrinsics.cpp complet
Le fichier main_intrinsics.cpp complet :
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/*************************************** Auteur : Pierre Aubert Mail : pierre.aubert@lapp.in2p3.fr Licence : CeCILL-C ****************************************/ #include "OptionParser.h" #include "temporary_alloc.h" #include "ProgressTime.h" #include "intrinsics_propagation.h" #include "MatrixHdf5.h" ///Create the OptionParser of this program /** @return OptionParser of this program */ OptionParser createOptionParser(){ OptionParser parser(true, __PROGRAM_VERSION__); parser.setExampleLongOption("intrinsics_gray_scott --killrate=0.062 --feedrate=0.03 --nbimage=100 --nbrow=1080 --nbcol=1920 --output=outputFile.hdf5"); parser.setExampleShortOption("intrinsics_gray_scott -k 0.062 -f 0.03 -n 100 -r 1080 -c 1920 -o outputFile.hdf5"); float killRate(0.054f), feedRate(0.014f); size_t nbImage(100lu), nbRow(100lu), nbCol(200lu); parser.addOption("killrate", "k", killRate, "rate of the process which converts V into P"); parser.addOption("feedrate", "f", feedRate, "rate of the process which feeds U and drains U, V and P"); parser.addOption("nbimage", "n", nbImage, "number of images to be created"); size_t nbExtraStep(1lu); parser.addOption("nbextrastep", "e", nbExtraStep, "number of extra steps to be computed between images"); parser.addOption("nbrow", "r", nbRow, "number of rows of the images to be created"); parser.addOption("nbcol", "c", nbCol, "number of columns of the images to be created"); float dt(1.0f); parser.addOption("deltat", "t", dt, "time interval between two computation"); std::string defaultOutputFile("output.h5"); parser.addOption("output", "o", defaultOutputFile, "Output file to be created with results"); return parser; } ///Simulate the images /** @param nbRow : number of rows of the images to be created * @param nbCol : number of columns of the images to be created * @param nbImage : number of images to be created * @param nbExtraStep : number of extra steps to be computed between images * @param killRate : rate of the process which converts V into P * @param feedRate : rate of the process which feeds U and drains U, V and P * @param dt : time interval between two computation * @param outputFile : name of the file to be created * @return true on succsess, false otherwise */ bool simulateImage(size_t nbRow, size_t nbCol, size_t nbImage, size_t nbExtraStep, float killRate, float feedRate, float dt, const std::string & outputFile){ std::cout << "simulateImage : nbImage = "<<nbImage<<", nbRow = " << nbRow << ", nbCol = " << nbCol << std::endl; MatrixHdf5 fullMat; fullMat.setAllDim(nbCol, nbRow); fullMat.resize(nbImage); PTensor<float> tmpInU, tmpInV, tmpOutU, tmpOutV; float *tmpU1 = NULL, *tmpU2 = NULL, *tmpV1 = NULL, *tmpV2 = NULL; allocate_temporary(tmpU1, tmpU2, tmpV1, tmpV2, tmpInU, tmpInV, tmpOutU, tmpOutV, nbRow, nbCol); long nbStencilRow(3l), nbStencilCol(3l); float diffudionRateU(0.1f), diffusionRateV(0.05f); //This matrix of neigbour exchange is quite accurate but gives not so fun results // float matDeltaSquare[] = {0.05f, 0.2f, 0.05f, // 0.2f, 0.0f, 0.2f, // 0.05f, 0.2f, 0.05f}; float matDeltaSquare[] = {1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f}; //Let's convert these temporaries into intrinsics temporaries PTensor<float> tmpVecInU(AllocMode::ALIGNED), tmpVecInV(AllocMode::ALIGNED), tmpVecOutU(AllocMode::ALIGNED), tmpVecOutV(AllocMode::ALIGNED); tmpVecInU.fromScalToVecNeigbhour(tmpInU, PLIB_VECTOR_SIZE_FLOAT); tmpVecOutU.fromScalToVecNeigbhour(tmpOutU, PLIB_VECTOR_SIZE_FLOAT); tmpVecInV.fromScalToVecNeigbhour(tmpInV, PLIB_VECTOR_SIZE_FLOAT); tmpVecOutV.fromScalToVecNeigbhour(tmpOutV, PLIB_VECTOR_SIZE_FLOAT); PTensor<float> vecMatDeltaSquare(AllocMode::ALIGNED, nbStencilRow, nbStencilCol*PLIB_VECTOR_SIZE_FLOAT); reshuffle_broadcastTensor(vecMatDeltaSquare.getData(), matDeltaSquare, nbStencilRow, nbStencilCol, 0lu, PLIB_VECTOR_SIZE_FLOAT); float * tmpVecU1 = tmpVecInU.getData(); float * tmpVecU2 = tmpVecOutU.getData(); float * tmpVecV1 = tmpVecInV.getData(); float * tmpVecV2 = tmpVecOutV.getData(); float * ptrVecMatStencil = vecMatDeltaSquare.getData(); size_t nbVecRow(tmpVecInV.getFullNbRow()), nbVecCol(tmpVecInV.getNbCol()); PTensor<float> tmpScalOutV(AllocMode::ALIGNED); ProgressTime progress(nbImage); progress.start(); for(size_t i(0lu); i < nbImage; ++i){ progress.print(); for(size_t j(0lu); j < nbExtraStep; ++j){ grayscott_propagation(tmpVecU2, tmpVecV2, tmpVecU1, tmpVecV1, nbVecRow, nbVecCol, ptrVecMatStencil, nbStencilRow, nbStencilCol, diffudionRateU, diffusionRateV, feedRate, killRate, dt); //Let's update the dupplicated values reshuffle_updateDupplicateVecNeighbour(tmpVecU2, nbVecRow, nbVecCol, PLIB_VECTOR_SIZE_FLOAT); reshuffle_updateDupplicateVecNeighbour(tmpVecV2, nbVecRow, nbVecCol, PLIB_VECTOR_SIZE_FLOAT); ///Let's swap the pointer swapValue(tmpVecU1, tmpVecU2); swapValue(tmpVecV1, tmpVecV2); } if(tmpVecV1 != tmpVecOutV.getData()){ tmpScalOutV.fromVecToScalNeigbhour(tmpVecOutV); }else{ tmpScalOutV.fromVecToScalNeigbhour(tmpVecInV); //The pointers were swaped } fullMat.setRow(i, tmpScalOutV.getData()); } progress.finish(); std::cerr << "Done" << std::endl; //Let's save the output file fullMat.write(outputFile); return true; } int main(int argc, char** argv){ OptionParser parser = createOptionParser(); parser.parseArgument(argc, argv); const OptionMode & defaultMode = parser.getDefaultMode(); float killRate(0.062f), feedRate(0.03f), dt(1.0f); size_t nbImage(100lu), nbRow(1080lu), nbCol(1920lu), nbExtraStep(1lu); defaultMode.getValue(killRate, "killrate"); defaultMode.getValue(feedRate, "feedrate"); defaultMode.getValue(nbImage, "nbimage"); defaultMode.getValue(nbExtraStep, "nbextrastep"); defaultMode.getValue(nbRow, "nbrow"); defaultMode.getValue(nbCol, "nbcol"); defaultMode.getValue(dt, "deltat"); std::string outputFile(""); defaultMode.getValue(outputFile, "output"); bool b(simulateImage(nbRow, nbCol, nbImage, nbExtraStep, killRate, feedRate, dt, outputFile)); return b - 1; } |
Vous pouvez le télécharger ici.