Intrepid2_HCURL_TRI_In_FEMDef.hpp

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// @HEADER
// *****************************************************************************
//                           Intrepid2 Package
//
// Copyright 2007 NTESS and the Intrepid2 contributors.
// SPDX-License-Identifier: BSD-3-Clause
// *****************************************************************************
// @HEADER

 
#ifndef __INTREPID2_HCURL_TRI_IN_FEM_DEF_HPP__
#define __INTREPID2_HCURL_TRI_IN_FEM_DEF_HPP__
 
#include "Intrepid2_HGRAD_TRI_Cn_FEM_ORTH.hpp"
#include "Intrepid2_CubatureDirectTriSymmetric.hpp"
 
namespace Intrepid2 {
 
  // -------------------------------------------------------------------------------------
 
  namespace Impl {
 
    template<EOperator OpType>
    template<typename OutputViewType,
             typename InputViewType,
             typename WorkViewType,
             typename VinvViewType>
    KOKKOS_INLINE_FUNCTION
    void
    Basis_HCURL_TRI_In_FEM::Serial<OpType>::
    getValues(       OutputViewType output,
               const InputViewType  input,
                     WorkViewType   work,
               const VinvViewType   coeffs ) {
 
      constexpr ordinal_type spaceDim = 2;
      const ordinal_type
        cardPn = coeffs.extent(0)/spaceDim,
        card = coeffs.extent(1),
        npts = input.extent(0);
 
      // compute order
      ordinal_type order = 0;
      for (ordinal_type p=0;p<=Parameters::MaxOrder;++p) {
        if (card == CardinalityHCurlTri(p)) {
          order = p;
          break;
        }
      }
 
      typedef typename Kokkos::DynRankView<typename InputViewType::value_type, typename WorkViewType::memory_space> ViewType;
      auto ptr = work.data();
 
      switch (OpType) {
      case OPERATOR_VALUE: {
        const ViewType phis = createMatchingUnmanagedView<ViewType>(input, ptr, card, npts), dummyView;
 
        Impl::Basis_HGRAD_TRI_Cn_FEM_ORTH::
          Serial<OpType>::getValues(phis, input, dummyView, order);
 
        for (ordinal_type i=0;i<card;++i)
          for (ordinal_type j=0;j<npts;++j)
            for (ordinal_type d=0;d<spaceDim;++d) {
              output.access(i,j,d) = 0.0;
              for (ordinal_type k=0;k<cardPn;++k)
                output.access(i,j,d) += coeffs(k+d*cardPn,i) * phis(k,j);
            }
        break;
      }
      case OPERATOR_CURL: {
        const ViewType phis = createMatchingUnmanagedView<ViewType>(input, ptr, card, npts, spaceDim);
        ptr += card*npts*spaceDim*get_dimension_scalar(input);
        const ViewType workView = createMatchingUnmanagedView<ViewType>(input, ptr, card, npts, spaceDim+1);
 
        Impl::Basis_HGRAD_TRI_Cn_FEM_ORTH::
          Serial<OPERATOR_GRAD>::getValues(phis, input, workView, order);
 
        for (ordinal_type i=0;i<card;++i)
          for (ordinal_type j=0;j<npts;++j) {
            output.access(i,j) = 0.0;
            for (ordinal_type k=0; k<cardPn; ++k)
              output.access(i,j) += - coeffs(k,i)*phis(k,j,1)              // - dy of x component
                + coeffs(k+cardPn,i)*phis(k,j,0);      // dx of y component
          }
        break;
      }
      default: {
        INTREPID2_TEST_FOR_ABORT( true,
                                  ">>> ERROR (Basis_HCURL_TRI_In_FEM): Operator type not implemented");
      }
      }
    }
 
    template<typename DT, ordinal_type numPtsPerEval,
             typename outputValueValueType, class ...outputValueProperties,
             typename inputPointValueType,  class ...inputPointProperties,
             typename vinvValueType,        class ...vinvProperties>
    void
    Basis_HCURL_TRI_In_FEM::
    getValues( const typename DT::execution_space& space,
                     Kokkos::DynRankView<outputValueValueType,outputValueProperties...> outputValues,
               const Kokkos::DynRankView<inputPointValueType, inputPointProperties...>  inputPoints,
               const Kokkos::DynRankView<vinvValueType,       vinvProperties...>        coeffs,
               const EOperator operatorType) {
      typedef          Kokkos::DynRankView<outputValueValueType,outputValueProperties...>         outputValueViewType;
      typedef          Kokkos::DynRankView<inputPointValueType, inputPointProperties...>          inputPointViewType;
      typedef          Kokkos::DynRankView<vinvValueType,       vinvProperties...>                vinvViewType;
      typedef typename ExecSpace<typename inputPointViewType::execution_space,typename DT::execution_space>::ExecSpaceType ExecSpaceType;
 
      // loopSize corresponds to cardinality
      const auto loopSizeTmp1 = (inputPoints.extent(0)/numPtsPerEval);
      const auto loopSizeTmp2 = (inputPoints.extent(0)%numPtsPerEval != 0);
      const auto loopSize = loopSizeTmp1 + loopSizeTmp2;
      Kokkos::RangePolicy<ExecSpaceType,Kokkos::Schedule<Kokkos::Static> > policy(space, 0, loopSize);
 
      //typedef typename inputPointViewType::value_type inputPointType;
 
      const ordinal_type cardinality = outputValues.extent(0);
      const ordinal_type spaceDim = 2;
 
      switch (operatorType) {
      case OPERATOR_VALUE: {
        auto work = createMatchingDynRankView(inputPoints, "Basis_HCURL_TRI_In_FEM::getValues::work", cardinality, inputPoints.extent(0));
        typedef Functor<outputValueViewType,inputPointViewType,vinvViewType, decltype(work),
          OPERATOR_VALUE,numPtsPerEval> FunctorType;
        Kokkos::parallel_for( policy, FunctorType(outputValues, inputPoints, coeffs, work) );
        break;
      }
      case OPERATOR_CURL: {
        auto work = createMatchingDynRankView(inputPoints, "Basis_HCURL_TRI_In_FEM::getValues::work", cardinality*(2*spaceDim+1), inputPoints.extent(0));
        typedef Functor<outputValueViewType,inputPointViewType,vinvViewType, decltype(work),
          OPERATOR_CURL,numPtsPerEval> FunctorType;
        Kokkos::parallel_for( policy, FunctorType(outputValues, inputPoints, coeffs, work) );
        break;
      }
      default: {
        INTREPID2_TEST_FOR_EXCEPTION( true , std::invalid_argument,
                                      ">>> ERROR (Basis_HCURL_TRI_In_FEM): Operator type not implemented" );
      }
      }
    }
  }
 
  // -------------------------------------------------------------------------------------
  template<typename DT, typename OT, typename PT>
  Basis_HCURL_TRI_In_FEM<DT,OT,PT>::
  Basis_HCURL_TRI_In_FEM( const ordinal_type order,
                          const EPointType   pointType ) {
 
    constexpr ordinal_type spaceDim = 2;
    this->basisCardinality_     = CardinalityHCurlTri(order);
    this->basisDegree_          = order; // small n
    this->basisCellTopologyKey_ = shards::Triangle<3>::key;
    this->basisType_            = BASIS_FEM_LAGRANGIAN;
    this->basisCoordinates_     = COORDINATES_CARTESIAN;
    this->functionSpace_        = FUNCTION_SPACE_HCURL;
    pointType_ = (pointType == POINTTYPE_DEFAULT) ? POINTTYPE_EQUISPACED : pointType;
 
    const ordinal_type card = this->basisCardinality_;
 
    const ordinal_type  cardPn = Intrepid2::getPnCardinality<spaceDim>(order); // dim of (P_{n}) -- smaller space
    const ordinal_type  cardPnm1 = Intrepid2::getPnCardinality<spaceDim>(order-1);  // dim of (P_{n-1}) -- smaller space
    const ordinal_type  cardPnm2 = Intrepid2::getPnCardinality<spaceDim>(order-2); // dim of (P_{n-2}) -- smaller space
    const ordinal_type  cardVecPn = spaceDim*cardPn;  // dim of (P_{n})^2 -- larger space
    const ordinal_type  cardVecPnm1 = spaceDim*cardPnm1;   // dim of (P_{n-1})^2 -- smaller space
 
    // Note: the only reason why equispaced can't support higher order than Parameters::MaxOrder appears to be the fact that the tags below get stored into a fixed-length array.
    // TODO: relax the maximum order requirement by setting up tags in a different container, perhaps directly into an OrdinalTypeArray1DHost (tagView, below).  (As of this writing (1/25/22), looks like other nodal bases do this in a similar way -- those should be fixed at the same time; maybe search for Parameters::MaxOrder.)
    INTREPID2_TEST_FOR_EXCEPTION( order > Parameters::MaxOrder, std::invalid_argument, "polynomial order exceeds the max supported by this class");
 
    // Basis-dependent initializations
    constexpr ordinal_type tagSize  = 4;        // size of DoF tag, i.e., number of fields in the tag
    constexpr ordinal_type maxCard = CardinalityHCurlTri(Parameters::MaxOrder);
    ordinal_type tags[maxCard][tagSize];
 
    // points are computed in the host and will be copied
    Kokkos::DynRankView<scalarType,typename DT::execution_space::array_layout,Kokkos::HostSpace>
      dofCoords("Hcurl::Tri::In::dofCoords", card, spaceDim);
 
    Kokkos::DynRankView<scalarType,typename DT::execution_space::array_layout,Kokkos::HostSpace>
      coeffs("Hcurl::Tri::In::coeffs", cardVecPn, card);
 
    Kokkos::DynRankView<scalarType,typename DT::execution_space::array_layout,Kokkos::HostSpace>
      dofCoeffs("Hcurl::Tri::In::dofCoeffs", card, spaceDim);
 
    // first, need to project the basis for RT space onto the
    // orthogonal basis of degree n
    // get coefficients of PkHx
 
    const ordinal_type lwork = card*card;
    Kokkos::DynRankView<scalarType,typename DT::execution_space::array_layout,Kokkos::HostSpace>
      V1("Hcurl::Tri::In::V1", cardVecPn, card);
 
    // basis for the space is
    // { (phi_i,0) }_{i=0}^{cardPnm1-1} ,
    // { (0,phi_i) }_{i=0}^{cardPnm1-1} ,
    // { (x,y) \times phi_i}_{i=cardPnm2}^{cardPnm1-1}
    // { (x,y) \times phi = (y phi , -x \phi)
    // columns of V1 are expansion of this basis in terms of the basis
    // for P_{n}^2
 
    // these two loops get the first two sets of basis functions
    for (ordinal_type i=0;i<cardPnm1;i++)
      for (ordinal_type d=0;d<spaceDim;d++)
        V1(d*cardPn+i,d*cardPnm1+i) = 1.0;
 
 
    // now I need to integrate { (x,y) \times phi } against the big basis
    // first, get a cubature rule.
    CubatureDirectTriSymmetric<Kokkos::HostSpace::execution_space,scalarType,scalarType> myCub( 2 * order );
    Kokkos::DynRankView<scalarType,typename DT::execution_space::array_layout,Kokkos::HostSpace> cubPoints("Hcurl::Tri::In::cubPoints", myCub.getNumPoints() , spaceDim );
    Kokkos::DynRankView<scalarType,typename DT::execution_space::array_layout,Kokkos::HostSpace> cubWeights("Hcurl::Tri::In::cubWeights", myCub.getNumPoints() );
    myCub.getCubature( cubPoints , cubWeights );
 
    // tabulate the scalar orthonormal basis at cubature points
    Kokkos::DynRankView<scalarType,typename DT::execution_space::array_layout,Kokkos::HostSpace> phisAtCubPoints("Hcurl::Tri::In::phisAtCubPoints", cardPn , myCub.getNumPoints() );
    Impl::Basis_HGRAD_TRI_Cn_FEM_ORTH::getValues<Kokkos::HostSpace::execution_space,Parameters::MaxNumPtsPerBasisEval>(typename Kokkos::HostSpace::execution_space{},
                                                                                                                       phisAtCubPoints,
                                                                                                                       cubPoints,
                                                                                                                       order,
                                                                                                                       OPERATOR_VALUE);
 
    // now do the integration
    for (ordinal_type i=0;i<order;i++) {
      for (ordinal_type j=0;j<cardPn;j++) { // int (x,y) phi_i \cdot (phi_j,phi_{j+cardPn})
        for (ordinal_type k=0;k<myCub.getNumPoints();k++) {
          V1(j,cardVecPnm1+i) -=
            cubWeights(k) * cubPoints(k,1)
            * phisAtCubPoints(cardPnm2+i,k)
            * phisAtCubPoints(j,k);
          V1(j+cardPn,cardVecPnm1+i) +=
            cubWeights(k) * cubPoints(k,0)
            * phisAtCubPoints(cardPnm2+i,k)
            * phisAtCubPoints(j,k);
        }
      }
    }
 
    // next, apply the RT nodes (rows) to the basis for (P_n)^2 (columns)
    Kokkos::DynRankView<scalarType,typename DT::execution_space::array_layout,Kokkos::HostSpace>
      V2("Hcurl::Tri::In::V2", card ,cardVecPn);
 
    const shards::CellTopology cellTopo(shards::getCellTopologyData<shards::Triangle<3>>()); 
    const ordinal_type numEdges = cellTopo.getEdgeCount();
 
    shards::CellTopology edgeTopo(shards::getCellTopologyData<shards::Line<2> >() );
 
    const int numPtsPerEdge = PointTools::getLatticeSize( edgeTopo ,
                                                          order+1 ,
                                                          1 );
 
    // first numEdges * degree nodes are tangents at each edge
    // get the points on the line
    Kokkos::DynRankView<scalarType,typename DT::execution_space::array_layout,Kokkos::HostSpace> linePts("Hcurl::Tri::In::linePts", numPtsPerEdge , 1 );
 
    // construct lattice
    const ordinal_type offset = 1;
    PointTools::getLattice( linePts,
                            edgeTopo,
                            order+1, offset,
                            pointType_ );
 
    // holds the image of the line points
    Kokkos::DynRankView<scalarType,typename DT::execution_space::array_layout,Kokkos::HostSpace> edgePts("Hcurl::Tri::In::edgePts", numPtsPerEdge , spaceDim );
    Kokkos::DynRankView<scalarType,typename DT::execution_space::array_layout,Kokkos::HostSpace> phisAtEdgePoints("Hcurl::Tri::In::phisAtEdgePoints", cardPn , numPtsPerEdge );
    Kokkos::DynRankView<scalarType,typename DT::execution_space::array_layout,Kokkos::HostSpace> edgeTan("Hcurl::Tri::In::edgeTan", spaceDim );
 
    // these are tangents scaled by the appropriate edge lengths.
    for (ordinal_type edge=0;edge<numEdges;edge++) {  // loop over edges
      CellTools<Kokkos::HostSpace>::getReferenceEdgeTangent( edgeTan ,
                                                                              edge ,
                                                                              cellTopo );
 
      CellTools<Kokkos::HostSpace>::mapToReferenceSubcell( edgePts ,
                                                                            linePts ,
                                                                            1 ,
                                                                            edge ,
                                                                            cellTopo );
 
      Impl::Basis_HGRAD_TRI_Cn_FEM_ORTH::getValues<Kokkos::HostSpace::execution_space,Parameters::MaxNumPtsPerBasisEval>(typename Kokkos::HostSpace::execution_space{},
                                                                                                                         phisAtEdgePoints,
                                                                                                                         edgePts,
                                                                                                                         order,
                                                                                                                         OPERATOR_VALUE);
 
      // loop over points (rows of V2)
      for (ordinal_type j=0;j<numPtsPerEdge;j++) {
 
        const ordinal_type i_card = numPtsPerEdge*edge+j;
 
        // loop over orthonormal basis functions (columns of V2)
        for (ordinal_type k=0;k<cardPn;k++) {
          V2(i_card,k) = edgeTan(0) * phisAtEdgePoints(k,j);
          V2(i_card,k+cardPn) = edgeTan(1) * phisAtEdgePoints(k,j);
        }
 
 
        //save dof coordinates
        for(ordinal_type k=0; k<spaceDim; ++k) {
          dofCoords(i_card,k) = edgePts(j,k);
          dofCoeffs(i_card,k) = edgeTan(k);
        }
 
        tags[i_card][0] = 1; // edge dof
        tags[i_card][1] = edge; // edge id
        tags[i_card][2] = j; // local dof id
        tags[i_card][3] = numPtsPerEdge; // total edge dof
 
      }
 
 
    }
 
    // remaining nodes are x- and y- components at internal points (this code is same as HDIV).
    //These are evaluated at the interior of a lattice of degree + 1, For then
    // the degree == 1 space corresponds classicaly to RT0 and so gets
    // no internal nodes, and degree == 2 corresponds to RT1 and needs
    // one internal node per vector component.
    const ordinal_type numPtsPerCell = PointTools::getLatticeSize( cellTopo ,
                                                                   order + 1 ,
                                                                   1 );
 
    if (numPtsPerCell > 0) {
      Kokkos::DynRankView<scalarType,typename DT::execution_space::array_layout,Kokkos::HostSpace>
        internalPoints( "Hcurl::Tri::In::internalPoints", numPtsPerCell , spaceDim );
      PointTools::getLattice( internalPoints ,
                              cellTopo ,
                              order + 1 ,
                              1 ,
                              pointType_ );
 
      Kokkos::DynRankView<scalarType,typename DT::execution_space::array_layout,Kokkos::HostSpace>
        phisAtInternalPoints("Hcurl::Tri::In::phisAtInternalPoints", cardPn , numPtsPerCell );
      Impl::Basis_HGRAD_TRI_Cn_FEM_ORTH::getValues<Kokkos::HostSpace::execution_space,Parameters::MaxNumPtsPerBasisEval>(typename Kokkos::HostSpace::execution_space{},
                                                                                                                         phisAtInternalPoints,
                                                                                                                         internalPoints,
                                                                                                                         order,
                                                                                                                         OPERATOR_VALUE);
 
      // copy values into right positions of V2
      for (ordinal_type j=0;j<numPtsPerCell;j++) {
 
        const ordinal_type i_card = numEdges*order+spaceDim*j;
 
        for (ordinal_type k=0;k<cardPn;k++) {
          // x component
          V2(i_card,k) = phisAtInternalPoints(k,j);
          // y component
          V2(i_card+1,cardPn+k) = phisAtInternalPoints(k,j);
        }
 
        //save dof coordinates
        for(ordinal_type d=0; d<spaceDim; ++d) {
          for(ordinal_type dim=0; dim<spaceDim; ++dim) {
            dofCoords(i_card+d,dim) = internalPoints(j,dim);
            dofCoeffs(i_card+d,dim) = (d==dim);
          }
 
          tags[i_card+d][0] = spaceDim; // elem dof
          tags[i_card+d][1] = 0; // elem id
          tags[i_card+d][2] = spaceDim*j+d; // local dof id
          tags[i_card+d][3] = spaceDim*numPtsPerCell; // total vert dof
        }
      }
    }
 
    // form Vandermonde matrix.  Actually, this is the transpose of the VDM,
    // so we transpose on copy below.
    Kokkos::DynRankView<scalarType,Kokkos::LayoutLeft,Kokkos::HostSpace>
      vmat("Hcurl::Tri::In::vmat", card, card),
      work("Hcurl::Tri::In::work", lwork),
      ipiv("Hcurl::Tri::In::ipiv", card);
 
    //vmat' = V2*V1;
    for(ordinal_type i=0; i< card; ++i) {
      for(ordinal_type j=0; j< card; ++j) {
        scalarType s=0;
        for(ordinal_type k=0; k< cardVecPn; ++k)
          s += V2(i,k)*V1(k,j);
        vmat(i,j) = s;
      }
    }
 
    ordinal_type info = 0;
    Teuchos::LAPACK<ordinal_type,scalarType> lapack;
 
    lapack.GETRF(card, card,
                 vmat.data(), vmat.stride(1),
                 (ordinal_type*)ipiv.data(),
                 &info);
 
    INTREPID2_TEST_FOR_EXCEPTION( info != 0,
                                  std::runtime_error ,
                                  ">>> ERROR: (Intrepid2::Basis_HCURL_TRI_In_FEM) lapack.GETRF returns nonzero info." );
 
    lapack.GETRI(card,
                 vmat.data(), vmat.stride(1),
                 (ordinal_type*)ipiv.data(),
                 work.data(), lwork,
                 &info);
 
    INTREPID2_TEST_FOR_EXCEPTION( info != 0,
                                  std::runtime_error ,
                                  ">>> ERROR: (Intrepid2::Basis_HCURL_TRI_In_FEM) lapack.GETRI returns nonzero info." );
 
    for (ordinal_type i=0;i<cardVecPn;++i)
      for (ordinal_type j=0;j<card;++j){
        scalarType s=0;
        for(ordinal_type k=0; k< card; ++k)
          s += V1(i,k)*vmat(k,j);
        coeffs(i,j) = s;
      }
 
    this->coeffs_ = Kokkos::create_mirror_view(typename DT::memory_space(), coeffs);
    Kokkos::deep_copy(this->coeffs_ , coeffs);
 
    this->dofCoords_ = Kokkos::create_mirror_view(typename DT::memory_space(), dofCoords);
    Kokkos::deep_copy(this->dofCoords_, dofCoords);
 
    this->dofCoeffs_ = Kokkos::create_mirror_view(typename DT::memory_space(), dofCoeffs);
    Kokkos::deep_copy(this->dofCoeffs_, dofCoeffs);
 
 
    // set tags
    {
      // Basis-dependent initializations
      const ordinal_type posScDim = 0;        // position in the tag, counting from 0, of the subcell dim
      const ordinal_type posScOrd = 1;        // position in the tag, counting from 0, of the subcell ordinal
      const ordinal_type posDfOrd = 2;        // position in the tag, counting from 0, of DoF ordinal relative to the subcell
 
      OrdinalTypeArray1DHost tagView(&tags[0][0], card*tagSize);
 
      // Basis-independent function sets tag and enum data in tagToOrdinal_ and ordinalToTag_ arrays:
      // tags are constructed on host
      this->setOrdinalTagData(this->tagToOrdinal_,
                              this->ordinalToTag_,
                              tagView,
                              this->basisCardinality_,
                              tagSize,
                              posScDim,
                              posScOrd,
                              posDfOrd);
    }
  }
 
  template<typename DT, typename OT, typename PT>
  void 
  Basis_HCURL_TRI_In_FEM<DT,OT,PT>::getScratchSpaceSize(       
                                    ordinal_type& perTeamSpaceSize,
                                    ordinal_type& perThreadSpaceSize,
                              const PointViewType inputPoints,
                              const EOperator operatorType) const {
    perTeamSpaceSize = 0;
    ordinal_type scalarWorkViewExtent = (operatorType == OPERATOR_VALUE) ? this->basisCardinality_ : 5*this->basisCardinality_;
    perThreadSpaceSize = scalarWorkViewExtent*get_dimension_scalar(inputPoints)*sizeof(typename BasisBase::scalarType);
  }
 
  template<typename DT, typename OT, typename PT>
  KOKKOS_INLINE_FUNCTION
  void 
  Basis_HCURL_TRI_In_FEM<DT,OT,PT>::getValues(       
          OutputViewType outputValues,
      const PointViewType  inputPoints,
      const EOperator operatorType,
      const typename Kokkos::TeamPolicy<typename DT::execution_space>::member_type& team_member,
      const typename DT::execution_space::scratch_memory_space & scratchStorage, 
      const ordinal_type subcellDim,
      const ordinal_type subcellOrdinal) const {
 
      INTREPID2_TEST_FOR_ABORT( !((subcellDim == -1) && (subcellOrdinal == -1)),
        ">>> ERROR: (Intrepid2::Basis_HCURL_TRI_In_FEM::getValues), The capability of selecting subsets of basis functions has not been implemented yet.");
 
      const int numPoints = inputPoints.extent(0);
      using ScalarType = typename ScalarTraits<typename PointViewType::value_type>::scalar_type;
      using WorkViewType = Kokkos::DynRankView< ScalarType,typename DT::execution_space::scratch_memory_space,Kokkos::MemoryTraits<Kokkos::Unmanaged> >;
      ordinal_type scalarSizePerPoint = (operatorType == OPERATOR_VALUE) ? this->basisCardinality_ : 5*this->basisCardinality_;
      ordinal_type sizePerPoint = scalarSizePerPoint*get_dimension_scalar(inputPoints);
      WorkViewType workView(scratchStorage, sizePerPoint*team_member.team_size());
      using range_type = Kokkos::pair<ordinal_type,ordinal_type>;
 
      switch(operatorType) {
        case OPERATOR_VALUE:
          Kokkos::parallel_for (Kokkos::TeamThreadRange (team_member, numPoints), [=, &coeffs_ = this->coeffs_] (ordinal_type& pt) {
            auto       output = Kokkos::subview( outputValues, Kokkos::ALL(), range_type  (pt,pt+1), Kokkos::ALL() );
            const auto input  = Kokkos::subview( inputPoints,                 range_type(pt, pt+1), Kokkos::ALL() );
            WorkViewType  work(workView.data() + sizePerPoint*team_member.team_rank(), sizePerPoint);
            Impl::Basis_HCURL_TRI_In_FEM::Serial<OPERATOR_VALUE>::getValues( output, input, work, coeffs_ );
          });
          break;
          case OPERATOR_CURL:
          Kokkos::parallel_for (Kokkos::TeamThreadRange (team_member, numPoints), [=, &coeffs_ = this->coeffs_] (ordinal_type& pt) {
            auto       output = Kokkos::subview( outputValues, Kokkos::ALL(), range_type(pt,pt+1), Kokkos::ALL() );
            const auto input  = Kokkos::subview( inputPoints,                 range_type(pt,pt+1), Kokkos::ALL() );
            WorkViewType  work(workView.data() + sizePerPoint*team_member.team_rank(), sizePerPoint);
            Impl::Basis_HCURL_TRI_In_FEM::Serial<OPERATOR_CURL>::getValues( output, input, work, coeffs_ );
          });
          break;
        default: {          
          INTREPID2_TEST_FOR_ABORT( true,
            ">>> ERROR (Basis_HCURL_TRI_In_FEM): getValues not implemented for this operator");
          }
    }
  }
 
} // namespace Intrepid2
 
#endif