TNL::Matrices::LambdaMatrixFactory< Real, Device, Index > Struct Template Reference

Helper class for creating instances of LambdaMatrix. More...

#include <TNL/Matrices/LambdaMatrix.h>

Public Types
using	IndexType = Index
using	RealType = Real

Static Public Member Functions
template<typename MatrixElementsLambda , typename CompressedRowLengthsLambda >
static auto	create (IndexType rows, IndexType columns, MatrixElementsLambda &matrixElementsLambda, CompressedRowLengthsLambda &compressedRowLengthsLambda) -> LambdaMatrix< MatrixElementsLambda, CompressedRowLengthsLambda, Real, Device, Index >
	Creates lambda matrix with given dimensions and lambda functions. More...
template<typename MatrixElementsLambda , typename CompressedRowLengthsLambda >
static auto	create (MatrixElementsLambda &matrixElementsLambda, CompressedRowLengthsLambda &compressedRowLengthsLambda) -> LambdaMatrix< MatrixElementsLambda, CompressedRowLengthsLambda, Real, Device, Index >
	Creates lambda matrix with given lambda functions. More...

Detailed Description

template<typename Real = double, typename Device = Devices::Host, typename Index = int>
struct TNL::Matrices::LambdaMatrixFactory< Real, Device, Index >

Helper class for creating instances of LambdaMatrix.

See LambdaMatrix.

Parameters

matrixElementsLambda
compressedRowLengthsLambda

Member Function Documentation

create() [1/2]

template<typename Real = double, typename Device = Devices::Host, typename Index = int>

template<typename MatrixElementsLambda , typename CompressedRowLengthsLambda >

static auto TNL::Matrices::LambdaMatrixFactory< Real, Device, Index >::create ( IndexType  rows, IndexType  columns, MatrixElementsLambda &  matrixElementsLambda, CompressedRowLengthsLambda &  compressedRowLengthsLambda  ) -> LambdaMatrix< MatrixElementsLambda, CompressedRowLengthsLambda, Real, Device, Index >

inlinestatic

Creates lambda matrix with given dimensions and lambda functions.

Parameters

rows	is number of matrix rows.
columns	is number of matrix columns.
matrixElementsLambda	is a lambda function evaluating matrix elements.
compressedRowLengthsLambda	is a lambda function returning number of non-zero matrix elements in given row.

Returns

instance of LambdaMatrix.

Example

#include <iostream>
#include <TNL/Matrices/LambdaMatrix.h>
 
int main( int argc, char* argv[] )
{
   /***
    * Lambda functions defining the matrix.
    */
   auto compressedRowLengths = [=] __cuda_callable__ ( const int rows, const int columns, const int rowIdx ) -> int { return 1; };
   auto matrixElements1 = [=] __cuda_callable__ ( const int rows, const int columns, const int rowIdx, const int localIdx, int& columnIdx, double& value ) {
         columnIdx = rowIdx;
         value =  1.0;
   };
   auto matrixElements2 = [=] __cuda_callable__ ( const int rows, const int columns, const int rowIdx, const int localIdx, int& columnIdx, double& value ) {
         columnIdx = rowIdx;
         value =  rowIdx;
   };
 
   const int size = 5;
 
   /***
    * Matrix construction with explicit type definition.
    */
   using MatrixType = decltype( TNL::Matrices::LambdaMatrixFactory< double, TNL::Devices::Host, int >::create( matrixElements1, compressedRowLengths ) );
   MatrixType m1( size, size, matrixElements1, compressedRowLengths );
 
   /***
    * Matrix construction using 'auto'.
    */
   auto m2 = TNL::Matrices::LambdaMatrixFactory< double, TNL::Devices::Host, int >::create( matrixElements2, compressedRowLengths );
   m2.setDimensions( size, size );
 
   std::cout << "The first lambda matrix: " << std::endl << m1 << std::endl;
   std::cout << "The second lambda matrix: " << std::endl << m2 << std::endl;
}

Output

The first lambda matrix: 
Row: 0 ->     0:1   
Row: 1 ->     1:1   
Row: 2 ->     2:1   
Row: 3 ->     3:1   
Row: 4 ->     4:1   
 
The second lambda matrix: 
Row: 0 -> 
Row: 1 ->     1:1   
Row: 2 ->     2:2   
Row: 3 ->     3:3   
Row: 4 ->     4:4   
 

create() [2/2]

template<typename Real = double, typename Device = Devices::Host, typename Index = int>

template<typename MatrixElementsLambda , typename CompressedRowLengthsLambda >

static auto TNL::Matrices::LambdaMatrixFactory< Real, Device, Index >::create ( MatrixElementsLambda &  matrixElementsLambda, CompressedRowLengthsLambda &  compressedRowLengthsLambda  ) -> LambdaMatrix< MatrixElementsLambda, CompressedRowLengthsLambda, Real, Device, Index >

inlinestatic

Creates lambda matrix with given lambda functions.

Parameters

matrixElementsLambda	is a lambda function evaluating matrix elements.
compressedRowLengthsLambda	is a lambda function returning number of non-zero matrix elements in given row.

Returns

instance of LambdaMatrix.

Example

#include <iostream>
#include <TNL/Matrices/LambdaMatrix.h>
 
int main( int argc, char* argv[] )
{
   /***
    * Lambda functions defining the matrix.
    */
   auto compressedRowLengths = [=] __cuda_callable__ ( const int rows, const int columns, const int rowIdx ) -> int { return 1; };
   auto matrixElements1 = [=] __cuda_callable__ ( const int rows, const int columns, const int rowIdx, const int localIdx, int& columnIdx, double& value ) {
         columnIdx = rowIdx;
         value =  1.0;
   };
   auto matrixElements2 = [=] __cuda_callable__ ( const int rows, const int columns, const int rowIdx, const int localIdx, int& columnIdx, double& value ) {
         columnIdx = rowIdx;
         value =  rowIdx;
   };
 
   const int size = 5;
 
   /***
    * Matrix construction with explicit type definition.
    */
   using MatrixType = decltype( TNL::Matrices::LambdaMatrixFactory< double, TNL::Devices::Host, int >::create( matrixElements1, compressedRowLengths ) );
   MatrixType m1( size, size, matrixElements1, compressedRowLengths );
 
   /***
    * Matrix construction using 'auto'.
    */
   auto m2 = TNL::Matrices::LambdaMatrixFactory< double, TNL::Devices::Host, int >::create( matrixElements2, compressedRowLengths );
   m2.setDimensions( size, size );
 
   std::cout << "The first lambda matrix: " << std::endl << m1 << std::endl;
   std::cout << "The second lambda matrix: " << std::endl << m2 << std::endl;
}

Output

The first lambda matrix: 
Row: 0 ->     0:1   
Row: 1 ->     1:1   
Row: 2 ->     2:1   
Row: 3 ->     3:1   
Row: 4 ->     4:1   
 
The second lambda matrix: 
Row: 0 -> 
Row: 1 ->     1:1   
Row: 2 ->     2:2   
Row: 3 ->     3:3   
Row: 4 ->     4:4   
 

---

The documentation for this struct was generated from the following file:

• src/TNL/Matrices/LambdaMatrix.h