Added DenseMatrixView constructor example.

#include <iostream>

#include <TNL/Algorithms/ParallelFor.h>

#include <TNL/Matrices/DenseMatrix.h>

#include <TNL/Devices/Host.h>

#include <TNL/Devices/Cuda.h>

template< typename Device >

void createMatrixView()

{

   TNL::Containers::Vector< double, Device > values {

      1,  2,  3,  4,

      5,  6,  7,  8,

      9, 10, 11, 12 };

   TNL::Matrices::DenseMatrixView< double, Device, int, TNL::Containers::Segments::RowMajorOrder > matrix( 5, 5, values.getView() );

   /***

    * We need a matrix view to pass the matrix to lambda function even on CUDA device.

    */

   /*auto matrixView = matrix.getView();

   auto f = [=] __cuda_callable__ ( int rowIdx ) mutable {

      auto row = matrixView.getRow( rowIdx );

      row.setElement( rowIdx, 10* ( rowIdx + 1 ) );

   };

   TNL::Algorithms::ParallelFor< Device >::exec( 0, matrix.getRows(), f );

   std::cout << matrix << std::endl;*/

}

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

{

   std::cout << "Creating matrix view on host: " << std::endl;

   createMatrixView< TNL::Devices::Host >();

#ifdef HAVE_CUDA

   std::cout << "Creating matrix view on CUDA device: " << std::endl;

   createMatrixView< TNL::Devices::Cuda >();

#endif

}

DenseMatrixViewExample_constructor.cpp

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