Kokkos Node API and Local Linear Algebra Kernels Version of the Day
CrsMatrix_DefaultMultiplyTests.hpp

This is an example that unit tests and demonstrates the implementation requirements for the DefaultSparseOps class.

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  TEUCHOS_UNIT_TEST_TEMPLATE_3_DECL( DefaultSparseOps, NodeTest, Ordinal, Scalar, Node )
  {
    RCP<Node> node = getNode<Node>();
    typedef typename DefaultKernels<Scalar,Ordinal,Node>::SparseOps          DSM;
    typedef typename DSM::template bind_scalar<Scalar>::other_type           OPS;
    typedef typename OPS::template matrix<Scalar,Ordinal,Node>::matrix_type  MAT;
    typedef typename OPS::template graph<Ordinal,Node>::graph_type          GRPH;
    typedef MultiVector<Scalar,Node>                                          MV;
    typedef Teuchos::ScalarTraits<Scalar>                                     ST;
    OPS dsm(node);
    TEST_EQUALITY(dsm.getNode(), node);
  }

  TEUCHOS_UNIT_TEST_TEMPLATE_3_DECL( DefaultSparseOps, ResubmitMatrix, Ordinal, Scalar, Node )
  {
    RCP<Node> node = getNode<Node>();
    typedef typename DefaultKernels<Scalar,Ordinal,Node>::SparseOps          DSM;
    typedef typename DSM::template bind_scalar<Scalar>::other_type           OPS;
    typedef typename OPS::template matrix<Scalar,Ordinal,Node>::matrix_type  MAT;
    typedef typename OPS::template graph<Ordinal,Node>::graph_type          GRPH;
    typedef MultiVector<Scalar,Node>                                          MV;
    typedef Teuchos::ScalarTraits<Scalar>                                     ST;
    const Ordinal numRows = 0;
    Teuchos::ArrayRCP<size_t> ptrs(1); ptrs[0] = 0;
    RCP<GRPH> G = rcp( new GRPH(numRows,numRows,node,null) );
    RCP<MAT>  A = rcp( new MAT(G,null) );
    G->setStructure(ptrs,null);
    A->setValues(null);
    OPS::finalizeGraphAndMatrix(Teuchos::UNDEF_TRI,Teuchos::NON_UNIT_DIAG,*G,*A,null);
    Teuchos::EDiag diag; 
    Teuchos::EUplo uplo;
    G->getMatDesc(uplo,diag);
    TEST_EQUALITY_CONST( uplo, Teuchos::UNDEF_TRI );
    TEST_EQUALITY_CONST( diag, Teuchos::NON_UNIT_DIAG );
    out << "\n**\n** Can't submit the data twice\n**\n";
    OPS dsm(node);
    dsm.setGraphAndMatrix(G,A);
    TEST_THROW( dsm.setGraphAndMatrix(G,A), std::runtime_error );
  }
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