Added path to examples outputs to Doxyfile.

EXAMPLE_PATH += Examples

EXAMPLE_PATH += Tutorials

EXAMPLE_PATH += output_snippets

EXAMPLE_PATH += ../Release/Documentation/Tutorials

EXAMPLE_PATH += ../Debug/Documentation/Tutorials

# If the value of the EXAMPLE_PATH tag contains directories, you can use the

# EXAMPLE_PATTERNS tag to specify one or more wildcard pattern (like *.cpp and

#include <iostream>

#include <cstdlib>

#include <TNL/Containers/Vector.h>

#include <TNL/Containers/Array.h>

#include <TNL/Containers/Algorithms/Reduction.h>

#include <TNL/Containers/StaticVector.h>

using namespace TNL;

using namespace TNL::Containers;

using namespace TNL::Containers::Algorithms;

template< typename Device >

void scan( Vector< double, Device >& v )

{

   /***

    * Reduction is sum of two numbers.

    */

   auto reduce = [] __cuda_callable__ ( const double& a, const double& b ) { return a + b; };

   /***

    * As parameters, we pass vector on which the scan is to be performed, interval

    * where the scan is performed, lambda function which is used by the scan and

    * zero element (idempotent) of the 'sum' operation.

    */

   Scan< Device >::perform( v, 0, v.getSize(), reduce, 0.0 );

}

int main( int argc, char* argv[] )

{

   /***

    * Firstly, test the prefix sum with vectors allocated on CPU.

    */

   Vector< double, Devices::Host > host_v( 10 );

   host_v = 1.0;

   std::cout << "host_v = " << host_v << std::endl;

   scan( host_v );

   std::cout << "The prefix sum of the host vector is " << host_v << "." << std::endl;

   /***

    * And then also on GPU.

    */

#ifdef HAVE_CUDA

   Vector< double, Devices::Cuda > cuda_v( 10 );

   cuda_v = 1.0;

   std::cout << "cuda_v = " << cuda_v << std::endl;

   scan( cuda_v );

   std::cout << "The prefix sum of the CUDA vector is " << cuda_v << "." << std::endl;

#endif

   return EXIT_SUCCESS;

}

SegmentedScanExample.cpp

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