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ParadisEO-GPU/tutoriel/QAP/testSimpleTS.cu
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ParadisEO-GPU/tutoriel/QAP/testSimpleTS.cu
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//Init the number of threads per block
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#define BLOCK_SIZE 64
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#include <iostream>
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#include <stdlib.h>
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#include <stdio.h>
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using namespace std;
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__device__ int * dev_a;
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__device__ int * dev_b;
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// The general include for eo
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#include <eo>
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#include <ga.h>
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// Fitness function
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#include <problems/eval/QAPEval.h>
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// Cuda Fitness function
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#include <eval/moCudaKswapEval.h>
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#include <problems/eval/QAPIncrEval.h>
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//Specific data to QAP problem
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#include <problems/data/QAPData.h>
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// QAP solution
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#include <cudaType/moCudaIntVector.h>
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// QAP neighbor
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#include <neighborhood/moKswapNeighbor.h>
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//To compute execution time
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#include <performance/moCudaTimer.h>
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// QAP ordered neighborhood
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#include <neighborhood/moCudaKswapNeighborhood.h>
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// The Solution and neighbor comparator
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#include <comparator/moNeighborComparator.h>
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#include <comparator/moSolNeighborComparator.h>
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// The Iter continuator
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#include <continuator/moIterContinuator.h>
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// Local search algorithm
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#include <algo/moLocalSearch.h>
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// The Tabou Search algorithm explorer
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#include <explorer/moTSexplorer.h>
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//Algorithm and its components
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#include <algo/moTS.h>
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//Tabu list
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#include <memory/moNeighborVectorTabuList.h>
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//Memories
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#include <memory/moDummyIntensification.h>
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#include <memory/moDummyDiversification.h>
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#include <memory/moBestImprAspiration.h>
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#include <time.h>
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typedef moCudaIntVector<eoMinimizingFitness> solution;
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typedef moKswapNeighbor<solution> Neighbor;
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typedef moCudaKswapNeighborhood<Neighbor> Neighborhood;
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int main(int argc, char **argv)
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{
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/* =========================================================
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*
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* Parameters
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*
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* ========================================================= */
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// First define a parser from the command-line arguments
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eoParser parser(argc, argv);
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// For each parameter, define Parameter, read it through the parser,
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// and assign the value to the variable
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// seed
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eoValueParam<uint32_t> seedParam(time(0), "seed", "Random number seed", 'S');
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parser.processParam( seedParam );
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unsigned seed = seedParam.value();
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// Swap number
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eoValueParam<unsigned int> KSwapParam(1, "KSwap", "swap number", 'N');
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parser.processParam(KSwapParam, "KSwap" );
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unsigned KSwap = KSwapParam.value();
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// Iteration number
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eoValueParam<unsigned int> nbIterationParam(1, "nbIteration", "TS Iteration number", 'I');
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parser.processParam( nbIterationParam, "TS Iteration number" );
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unsigned nbIteration = nbIterationParam.value();
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// size tabu list
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eoValueParam<unsigned int> sizeTabuListParam(7, "sizeTabuList", "size of the tabu list", 'T');
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parser.processParam( sizeTabuListParam, "Search Parameters" );
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unsigned sizeTabuList = sizeTabuListParam.value();
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// the name of the "status" file where all actual parameter values will be saved
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string str_status = parser.ProgramName() + ".status"; // default value
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eoValueParam<string> statusParam(str_status.c_str(), "status", "Status file");
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parser.processParam( statusParam, "Persistence" );
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// do the following AFTER ALL PARAMETERS HAVE BEEN PROCESSED
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// i.e. in case you need parameters somewhere else, postpone these
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if (parser.userNeedsHelp()) {
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parser.printHelp(cout);
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exit(1);
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}
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if (statusParam.value() != "") {
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ofstream os(statusParam.value().c_str());
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os << parser;// and you can use that file as parameter file
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}
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/* =========================================================
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*
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* Random seed
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*
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* ========================================================= */
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//reproducible random seed: if you don't change SEED above,
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// you'll aways get the same result, NOT a random run
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rng.reseed(seed);
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srand(time(NULL));
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/* =========================================================
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*
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* Initilisation of QAP data
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*
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* ========================================================= */
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QAPData<int> _data(argv[1]);
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unsigned vecSize=_data.sizeData;
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/* =========================================================
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*
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* Initilisation of the solution
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*
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* ========================================================= */
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solution sol(vecSize);
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_data.cudaObject.memCopyGlobalVariable(dev_a,_data.a_d);
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_data.cudaObject.memCopyGlobalVariable(dev_b,_data.b_d);
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/* =========================================================
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*
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* Evaluation of a solution neighbor's
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*
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* ========================================================= */
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QAPEval<solution> eval(_data);
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unsigned long int sizeMap=sizeMapping(vecSize,KSwap);
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std::cout<<"sizeMap : "<<sizeMap<<std::endl;
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QAPIncrEval<Neighbor> incr_eval;
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moCudaKswapEval<Neighbor,QAPIncrEval<Neighbor> > cueval(sizeMap,incr_eval);
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/* =========================================================
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*
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* Comparator of solutions and neighbors
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*
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* ========================================================= */
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moNeighborComparator<Neighbor> comparator;
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moSolNeighborComparator<Neighbor> solComparator;
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/* =========================================================
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*
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* a solution neighborhood
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*
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* ========================================================= */
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Neighborhood neighborhood(vecSize,KSwap,cueval);
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/* =========================================================
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*
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* continuator
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*
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* ========================================================= */
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moIterContinuator <Neighbor> continuator(nbIteration);
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/* =========================================================
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*
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* tabu list
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*
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* ========================================================= */
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//moNeighborVectorTabuList<shiftNeighbor> tl(sizeTabuList,0);
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sizeTabuList=(vecSize*(vecSize-1))/2;
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unsigned duration=sizeTabuList/8;
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// tabu list
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moNeighborVectorTabuList<Neighbor> tl(sizeTabuList,duration);
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/* =========================================================
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*
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* Memories
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*
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* ========================================================= */
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moDummyIntensification<Neighbor> inten;
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moDummyDiversification<Neighbor> div;
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moBestImprAspiration<Neighbor> asp;
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/* =========================================================
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*
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* An explorer of solution neighborhood's
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*
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* ========================================================= */
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moTSexplorer<Neighbor> explorer(neighborhood, cueval, comparator, solComparator, tl, inten, div, asp);
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/* =========================================================
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*
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* the local search algorithm
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*
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* ========================================================= */
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moLocalSearch<Neighbor> localSearch1(explorer, continuator, eval);
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/* =========================================================
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*
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* Execute the local search from random sollution
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*
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* ========================================================= */
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//Can be eval here, else it will be done at the beginning of the localSearch
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eval(sol);
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std::cout << "initial: " << sol.fitness()<< std::endl;
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// Create timer for timing CUDA calculation
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moCudaTimer timer;
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timer.start();
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localSearch1(sol);
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std::cout << "final: " << sol.fitness() << std::endl;
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timer.stop();
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printf("CUDA execution time = %f ms\n",timer.getTime());
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timer.deleteTimer();
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_data.cudaObject.free(dev_a);
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_data.cudaObject.free(dev_b);
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return 0;
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}
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