Commit 263bebcc authored by Tomáš Oberhuber's avatar Tomáš Oberhuber

Added path to examples outputs to Doxyfile.

parent 7f3bd49d
......@@ -926,6 +926,8 @@ EXCLUDE_SYMBOLS += TNL::Assert::* # internal namespace
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
\ No newline at end of file
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