Intrepid2
Intrepid2_HGRAD_QUAD_Cn_FEMDef.hpp
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1// @HEADER
2// *****************************************************************************
3// Intrepid2 Package
4//
5// Copyright 2007 NTESS and the Intrepid2 contributors.
6// SPDX-License-Identifier: BSD-3-Clause
7// *****************************************************************************
8// @HEADER
9
16#ifndef __INTREPID2_HGRAD_QUAD_CN_FEM_DEF_HPP__
17#define __INTREPID2_HGRAD_QUAD_CN_FEM_DEF_HPP__
18
19namespace Intrepid2 {
20
21 // -------------------------------------------------------------------------------------
22 namespace Impl {
23
24 template<EOperator OpType>
25 template<typename OutputViewType,
26 typename InputViewType,
27 typename WorkViewType,
28 typename VinvViewType>
29 KOKKOS_INLINE_FUNCTION
30 void
31 Basis_HGRAD_QUAD_Cn_FEM::Serial<OpType>::
32 getValues( OutputViewType output,
33 const InputViewType input,
34 WorkViewType work,
35 const VinvViewType vinv,
36 const ordinal_type operatorDn ) {
37 ordinal_type opDn = operatorDn;
38
39 const ordinal_type cardLine = vinv.extent(0);
40 const ordinal_type npts = input.extent(0);
41
42 typedef Kokkos::pair<ordinal_type,ordinal_type> range_type;
43 const auto input_x = Kokkos::subview(input, Kokkos::ALL(), range_type(0,1));
44 const auto input_y = Kokkos::subview(input, Kokkos::ALL(), range_type(1,2));
45
46 const int dim_s = get_dimension_scalar(input);
47 auto ptr0 = work.data();
48 auto ptr1 = work.data()+cardLine*npts*dim_s;
49 auto ptr2 = work.data()+2*cardLine*npts*dim_s;
50
51 typedef typename Kokkos::DynRankView<typename InputViewType::value_type, typename WorkViewType::memory_space> ViewType;
52 auto vcprop = Kokkos::common_view_alloc_prop(input);
53
54 switch (OpType) {
55 case OPERATOR_VALUE: {
56 ViewType work_line(Kokkos::view_wrap(ptr0, vcprop), cardLine, npts);
57 ViewType output_x(Kokkos::view_wrap(ptr1, vcprop), cardLine, npts);
58 ViewType output_y(Kokkos::view_wrap(ptr2, vcprop), cardLine, npts);
59
60 Impl::Basis_HGRAD_LINE_Cn_FEM::Serial<OPERATOR_VALUE>::
61 getValues(output_x, input_x, work_line, vinv);
62
63 Impl::Basis_HGRAD_LINE_Cn_FEM::Serial<OPERATOR_VALUE>::
64 getValues(output_y, input_y, work_line, vinv);
65
66 // tensor product
67 ordinal_type idx = 0;
68 for (ordinal_type j=0;j<cardLine;++j) // y
69 for (ordinal_type i=0;i<cardLine;++i,++idx) // x
70 for (ordinal_type k=0;k<npts;++k)
71 output.access(idx,k) = output_x.access(i,k)*output_y.access(j,k);
72 break;
73 }
74 case OPERATOR_CURL: {
75 for (auto l=0;l<2;++l) {
76 ViewType work_line(Kokkos::view_wrap(ptr0, vcprop), cardLine, npts);
77
78 ViewType output_x, output_y;
79
80 typename WorkViewType::value_type s = 0.0;
81 if (l) {
82 // l = 1
83 output_x = ViewType(Kokkos::view_wrap(ptr1, vcprop), cardLine, npts, 1);
84 Impl::Basis_HGRAD_LINE_Cn_FEM::Serial<OPERATOR_Dn>::
85 getValues(output_x, input_x, work_line, vinv, 1);
86
87 output_y = ViewType(Kokkos::view_wrap(ptr2, vcprop), cardLine, npts);
88 Impl::Basis_HGRAD_LINE_Cn_FEM::Serial<OPERATOR_VALUE>::
89 getValues(output_y, input_y, work_line, vinv);
90
91 s = -1.0;
92 } else {
93 // l = 0
94 output_x = ViewType(Kokkos::view_wrap(ptr1, vcprop), cardLine, npts);
95 Impl::Basis_HGRAD_LINE_Cn_FEM::Serial<OPERATOR_VALUE>::
96 getValues(output_x, input_x, work_line, vinv);
97
98 output_y = ViewType(Kokkos::view_wrap(ptr2, vcprop), cardLine, npts, 1);
99 Impl::Basis_HGRAD_LINE_Cn_FEM::Serial<OPERATOR_Dn>::
100 getValues(output_y, input_y, work_line, vinv, 1);
101
102 s = 1.0;
103 }
104
105 // tensor product (extra dimension of ouput x and y are ignored)
106 ordinal_type idx = 0;
107 for (ordinal_type j=0;j<cardLine;++j) // y
108 for (ordinal_type i=0;i<cardLine;++i,++idx) // x
109 for (ordinal_type k=0;k<npts;++k)
110 output.access(idx,k,l) = s*output_x.access(i,k,0)*output_y.access(j,k,0);
111 }
112 break;
113 }
114 case OPERATOR_GRAD:
115 case OPERATOR_D1:
116 case OPERATOR_D2:
117 case OPERATOR_D3:
118 case OPERATOR_D4:
119 case OPERATOR_D5:
120 case OPERATOR_D6:
121 case OPERATOR_D7:
122 case OPERATOR_D8:
123 case OPERATOR_D9:
124 case OPERATOR_D10:
125 opDn = getOperatorOrder(OpType);
126 case OPERATOR_Dn: {
127 const auto dkcard = opDn + 1;
128 for (auto l=0;l<dkcard;++l) {
129 ViewType work_line(Kokkos::view_wrap(ptr0, vcprop), cardLine, npts);
130
131 ViewType output_x, output_y;
132
133 const auto mult_x = opDn - l;
134 const auto mult_y = l;
135
136 if (mult_x) {
137 output_x = ViewType(Kokkos::view_wrap(ptr1, vcprop), cardLine, npts, 1);
138 Impl::Basis_HGRAD_LINE_Cn_FEM::Serial<OPERATOR_Dn>::
139 getValues(output_x, input_x, work_line, vinv, mult_x);
140 } else {
141 output_x = ViewType(Kokkos::view_wrap(ptr1, vcprop), cardLine, npts);
142 Impl::Basis_HGRAD_LINE_Cn_FEM::Serial<OPERATOR_VALUE>::
143 getValues(output_x, input_x, work_line, vinv);
144 }
145
146 if (mult_y) {
147 output_y = ViewType(Kokkos::view_wrap(ptr2, vcprop), cardLine, npts, 1);
148 Impl::Basis_HGRAD_LINE_Cn_FEM::Serial<OPERATOR_Dn>::
149 getValues(output_y, input_y, work_line, vinv, mult_y);
150 } else {
151 output_y = ViewType(Kokkos::view_wrap(ptr2, vcprop), cardLine, npts);
152 Impl::Basis_HGRAD_LINE_Cn_FEM::Serial<OPERATOR_VALUE>::
153 getValues(output_y, input_y, work_line, vinv);
154 }
155
156 // tensor product (extra dimension of ouput x and y are ignored)
157 ordinal_type idx = 0;
158 for (ordinal_type j=0;j<cardLine;++j) // y
159 for (ordinal_type i=0;i<cardLine;++i,++idx) // x
160 for (ordinal_type k=0;k<npts;++k)
161 output.access(idx,k,l) = output_x.access(i,k,0)*output_y.access(j,k,0);
162 }
163 break;
164 }
165 default: {
166 INTREPID2_TEST_FOR_ABORT( true,
167 ">>> ERROR: (Intrepid2::Basis_HGRAD_QUAD_Cn_FEM::Serial::getValues) operator is not supported" );
168 }
169 }
170 }
171
172 template<typename DT, ordinal_type numPtsPerEval,
173 typename outputValueValueType, class ...outputValueProperties,
174 typename inputPointValueType, class ...inputPointProperties,
175 typename vinvValueType, class ...vinvProperties>
176 void
177 Basis_HGRAD_QUAD_Cn_FEM::
178 getValues( const typename DT::execution_space& space,
179 Kokkos::DynRankView<outputValueValueType,outputValueProperties...> outputValues,
180 const Kokkos::DynRankView<inputPointValueType, inputPointProperties...> inputPoints,
181 const Kokkos::DynRankView<vinvValueType, vinvProperties...> vinv,
182 const EOperator operatorType ) {
183 typedef Kokkos::DynRankView<outputValueValueType,outputValueProperties...> outputValueViewType;
184 typedef Kokkos::DynRankView<inputPointValueType, inputPointProperties...> inputPointViewType;
185 typedef Kokkos::DynRankView<vinvValueType, vinvProperties...> vinvViewType;
186 typedef typename ExecSpace<typename inputPointViewType::execution_space,typename DT::execution_space>::ExecSpaceType ExecSpaceType;
187
188 // loopSize corresponds to cardinality
189 const auto loopSizeTmp1 = (inputPoints.extent(0)/numPtsPerEval);
190 const auto loopSizeTmp2 = (inputPoints.extent(0)%numPtsPerEval != 0);
191 const auto loopSize = loopSizeTmp1 + loopSizeTmp2;
192 Kokkos::RangePolicy<ExecSpaceType,Kokkos::Schedule<Kokkos::Static> > policy(space, 0, loopSize);
193
194 typedef typename inputPointViewType::value_type inputPointType;
195
196 const ordinal_type cardinality = outputValues.extent(0);
197 const ordinal_type cardLine = std::sqrt(cardinality);
198 const ordinal_type workSize = 3*cardLine;
199
200 auto vcprop = Kokkos::common_view_alloc_prop(inputPoints);
201 typedef typename Kokkos::DynRankView< inputPointType, typename inputPointViewType::memory_space> workViewType;
202 workViewType work(Kokkos::view_alloc(space, "Basis_HGRAD_QUAD_Cn_FEM::getValues::work", vcprop), workSize, inputPoints.extent(0));
203
204 switch (operatorType) {
205 case OPERATOR_VALUE: {
206 typedef Functor<outputValueViewType,inputPointViewType,vinvViewType,workViewType,
207 OPERATOR_VALUE,numPtsPerEval> FunctorType;
208 Kokkos::parallel_for( policy, FunctorType(outputValues, inputPoints, vinv, work) );
209 break;
210 }
211 case OPERATOR_CURL: {
212 typedef Functor<outputValueViewType,inputPointViewType,vinvViewType,workViewType,
213 OPERATOR_CURL,numPtsPerEval> FunctorType;
214 Kokkos::parallel_for( policy, FunctorType(outputValues, inputPoints, vinv, work) );
215 break;
216 }
217 case OPERATOR_GRAD:
218 case OPERATOR_D1:
219 case OPERATOR_D2:
220 case OPERATOR_D3:
221 case OPERATOR_D4:
222 case OPERATOR_D5:
223 case OPERATOR_D6:
224 case OPERATOR_D7:
225 case OPERATOR_D8:
226 case OPERATOR_D9:
227 case OPERATOR_D10: {
228 typedef Functor<outputValueViewType,inputPointViewType,vinvViewType,workViewType,
229 OPERATOR_Dn,numPtsPerEval> FunctorType;
230 Kokkos::parallel_for( policy, FunctorType(outputValues, inputPoints, vinv, work,
231 getOperatorOrder(operatorType)) );
232 break;
233 }
234 default: {
235 INTREPID2_TEST_FOR_EXCEPTION( true , std::invalid_argument,
236 ">>> ERROR (Basis_HGRAD_QUAD_Cn_FEM): Operator type not implemented" );
237 // break;commented out because exception
238 }
239 }
240 }
241 }
242
243 // -------------------------------------------------------------------------------------
244 template<typename DT, typename OT, typename PT>
245 Basis_HGRAD_QUAD_Cn_FEM<DT,OT,PT>::
246 Basis_HGRAD_QUAD_Cn_FEM( const ordinal_type order,
247 const EPointType pointType ) {
248 // INTREPID2_TEST_FOR_EXCEPTION( !(pointType == POINTTYPE_EQUISPACED ||
249 // pointType == POINTTYPE_WARPBLEND), std::invalid_argument,
250 // ">>> ERROR (Basis_HGRAD_QUAD_Cn_FEM): pointType must be either equispaced or warpblend." );
251
252 // this should be in host
253 Basis_HGRAD_LINE_Cn_FEM<DT,OT,PT> lineBasis( order, pointType );
254 const auto cardLine = lineBasis.getCardinality();
255
256 this->vinv_ = Kokkos::DynRankView<typename ScalarViewType::value_type,DT>("Hgrad::Quad::Cn::vinv", cardLine, cardLine);
257 lineBasis.getVandermondeInverse(this->vinv_);
258
259 const ordinal_type spaceDim = 2;
260 this->basisCardinality_ = cardLine*cardLine;
261 this->basisDegree_ = order;
262 this->basisCellTopologyKey_ = shards::Quadrilateral<4>::key;
263 this->basisType_ = BASIS_FEM_LAGRANGIAN;
264 this->basisCoordinates_ = COORDINATES_CARTESIAN;
265 this->functionSpace_ = FUNCTION_SPACE_HGRAD;
266 pointType_ = pointType;
267
268 // initialize tags
269 {
270 // Basis-dependent initializations
271 const ordinal_type tagSize = 4; // size of DoF tag, i.e., number of fields in the tag
272 const ordinal_type posScDim = 0; // position in the tag, counting from 0, of the subcell dim
273 const ordinal_type posScOrd = 1; // position in the tag, counting from 0, of the subcell ordinal
274 const ordinal_type posDfOrd = 2; // position in the tag, counting from 0, of DoF ordinal relative to the subcell
275
276 // 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.
277 // 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.)
278 INTREPID2_TEST_FOR_EXCEPTION( order > Parameters::MaxOrder, std::invalid_argument, "polynomial order exceeds the max supported by this class");
279 // An array with local DoF tags assigned to the basis functions, in the order of their local enumeration
280 constexpr ordinal_type maxCardLine = Parameters::MaxOrder + 1;
281 ordinal_type tags[maxCardLine*maxCardLine][4];
282
283 const ordinal_type vert[2][2] = { {0,1}, {3,2} }; //[y][x]
284
285 const ordinal_type edge_x[2] = {0,2};
286 const ordinal_type edge_y[2] = {3,1};
287 {
288 ordinal_type idx = 0;
289 for (ordinal_type j=0;j<cardLine;++j) { // y
290 const auto tag_y = lineBasis.getDofTag(j);
291 for (ordinal_type i=0;i<cardLine;++i,++idx) { // x
292 const auto tag_x = lineBasis.getDofTag(i);
293
294 if (tag_x(0) == 0 && tag_y(0) == 0) {
295 // vertices
296 tags[idx][0] = 0; // vertex dof
297 tags[idx][1] = vert[tag_y(1)][tag_x(1)]; // vertex id
298 tags[idx][2] = 0; // local dof id
299 tags[idx][3] = 1; // total number of dofs in this vertex
300 } else if (tag_x(0) == 1 && tag_y(0) == 0) {
301 // edge: x edge, y vert
302 tags[idx][0] = 1; // edge dof
303 tags[idx][1] = edge_x[tag_y(1)];
304 tags[idx][2] = tag_x(2); // local dof id
305 tags[idx][3] = tag_x(3); // total number of dofs in this vertex
306 } else if (tag_x(0) == 0 && tag_y(0) == 1) {
307 // edge: x vert, y edge
308 tags[idx][0] = 1; // edge dof
309 tags[idx][1] = edge_y[tag_x(1)];
310 tags[idx][2] = tag_y(2); // local dof id
311 tags[idx][3] = tag_y(3); // total number of dofs in this vertex
312 } else {
313 // interior
314 tags[idx][0] = 2; // interior dof
315 tags[idx][1] = 0;
316 tags[idx][2] = tag_x(2) + tag_x(3)*tag_y(2); // local dof id
317 tags[idx][3] = tag_x(3)*tag_y(3); // total number of dofs in this vertex
318 }
319 }
320 }
321 }
322
323 OrdinalTypeArray1DHost tagView(&tags[0][0], this->basisCardinality_*4);
324
325 // Basis-independent function sets tag and enum data in tagToOrdinal_ and ordinalToTag_ arrays:
326 // tags are constructed on host
327 this->setOrdinalTagData(this->tagToOrdinal_,
328 this->ordinalToTag_,
329 tagView,
330 this->basisCardinality_,
331 tagSize,
332 posScDim,
333 posScOrd,
334 posDfOrd);
335 }
336
337 // dofCoords on host and create its mirror view to device
338 Kokkos::DynRankView<typename ScalarViewType::value_type,typename DT::execution_space::array_layout,Kokkos::HostSpace>
339 dofCoordsHost("dofCoordsHost", this->basisCardinality_, spaceDim);
340
341 Kokkos::DynRankView<typename ScalarViewType::value_type,DT>
342 dofCoordsLine("dofCoordsLine", cardLine, 1);
343
344 lineBasis.getDofCoords(dofCoordsLine);
345 auto dofCoordsLineHost = Kokkos::create_mirror_view(dofCoordsLine);
346 Kokkos::deep_copy(dofCoordsLineHost, dofCoordsLine);
347 {
348 ordinal_type idx = 0;
349 for (ordinal_type j=0;j<cardLine;++j) { // y
350 for (ordinal_type i=0;i<cardLine;++i,++idx) { // x
351 dofCoordsHost(idx,0) = dofCoordsLineHost(i,0);
352 dofCoordsHost(idx,1) = dofCoordsLineHost(j,0);
353 }
354 }
355 }
356
357 this->dofCoords_ = Kokkos::create_mirror_view(typename DT::memory_space(), dofCoordsHost);
358 Kokkos::deep_copy(this->dofCoords_, dofCoordsHost);
359 }
360
361 template<typename DT, typename OT, typename PT>
362 void
363 Basis_HGRAD_QUAD_Cn_FEM<DT,OT,PT>::getScratchSpaceSize(
364 ordinal_type& perTeamSpaceSize,
365 ordinal_type& perThreadSpaceSize,
366 const PointViewType inputPoints,
367 const EOperator operatorType) const {
368 perTeamSpaceSize = 0;
369 perThreadSpaceSize = 3*this->vinv_.extent(0)*get_dimension_scalar(inputPoints)*sizeof(typename BasisBase::scalarType);
370 }
371
372 template<typename DT, typename OT, typename PT>
373 KOKKOS_INLINE_FUNCTION
374 void
375 Basis_HGRAD_QUAD_Cn_FEM<DT,OT,PT>::getValues(
376 OutputViewType outputValues,
377 const PointViewType inputPoints,
378 const EOperator operatorType,
379 const typename Kokkos::TeamPolicy<typename DT::execution_space>::member_type& team_member,
380 const typename DT::execution_space::scratch_memory_space & scratchStorage,
381 const ordinal_type subcellDim,
382 const ordinal_type subcellOrdinal) const {
383
384 INTREPID2_TEST_FOR_ABORT( !((subcellDim == -1) && (subcellOrdinal == -1)),
385 ">>> ERROR: (Intrepid2::Basis_HGRAD_QUAD_Cn_FEM::getValues), The capability of selecting subsets of basis functions has not been implemented yet.");
386
387 const int numPoints = inputPoints.extent(0);
388 using ScalarType = typename ScalarTraits<typename PointViewType::value_type>::scalar_type;
389 using WorkViewType = Kokkos::DynRankView< ScalarType,typename DT::execution_space::scratch_memory_space,Kokkos::MemoryTraits<Kokkos::Unmanaged> >;
390 ordinal_type sizePerPoint = 3*this->vinv_.extent(0)*get_dimension_scalar(inputPoints);
391 WorkViewType workView(scratchStorage, sizePerPoint*team_member.team_size());
392 using range_type = Kokkos::pair<ordinal_type,ordinal_type>;
393
394 switch(operatorType) {
395 case OPERATOR_VALUE:
396 Kokkos::parallel_for (Kokkos::TeamThreadRange (team_member, numPoints), [=, &vinv_ = this->vinv_] (ordinal_type& pt) {
397 auto output = Kokkos::subview( outputValues, Kokkos::ALL(), range_type (pt,pt+1), Kokkos::ALL() );
398 const auto input = Kokkos::subview( inputPoints, range_type(pt, pt+1), Kokkos::ALL() );
399 WorkViewType work(workView.data() + sizePerPoint*team_member.team_rank(), sizePerPoint);
400 Impl::Basis_HGRAD_QUAD_Cn_FEM::Serial<OPERATOR_VALUE>::getValues( output, input, work, vinv_ );
401 });
402 break;
403 case OPERATOR_GRAD:
404 Kokkos::parallel_for (Kokkos::TeamThreadRange (team_member, numPoints), [=, &vinv_ = this->vinv_] (ordinal_type& pt) {
405 auto output = Kokkos::subview( outputValues, Kokkos::ALL(), range_type(pt,pt+1), Kokkos::ALL() );
406 const auto input = Kokkos::subview( inputPoints, range_type(pt,pt+1), Kokkos::ALL() );
407 WorkViewType work(workView.data() + sizePerPoint*team_member.team_rank(), sizePerPoint);
408 Impl::Basis_HGRAD_QUAD_Cn_FEM::Serial<OPERATOR_GRAD>::getValues( output, input, work, vinv_ );
409 });
410 break;
411 case OPERATOR_CURL:
412 Kokkos::parallel_for (Kokkos::TeamThreadRange (team_member, numPoints), [=, &vinv_ = this->vinv_] (ordinal_type& pt) {
413 auto output = Kokkos::subview( outputValues, Kokkos::ALL(), range_type(pt,pt+1), Kokkos::ALL() );
414 const auto input = Kokkos::subview( inputPoints, range_type(pt,pt+1), Kokkos::ALL() );
415 WorkViewType work(workView.data() + sizePerPoint*team_member.team_rank(), sizePerPoint);
416 Impl::Basis_HGRAD_QUAD_Cn_FEM::Serial<OPERATOR_CURL>::getValues( output, input, work, vinv_ );
417 });
418 break;
419 default: {
420 INTREPID2_TEST_FOR_ABORT( true,
421 ">>> ERROR (Basis_HGRAD_QUAD_Cn_FEM): getValues not implemented for this operator");
422 }
423 }
424 }
425
426} // namespace Intrepid2
427
428#endif
Intrepid2::getOperatorOrder
KOKKOS_INLINE_FUNCTION ordinal_type getOperatorOrder(const EOperator operatorType)
Returns order of an operator.
Definition Intrepid2_BasisDef.hpp:161
Intrepid2::Basis_HGRAD_LINE_Cn_FEM
Implementation of the locally H(grad)-compatible FEM basis of variable order on the [-1,...
Definition Intrepid2_HGRAD_LINE_Cn_FEM.hpp:144
Intrepid2::Basis_HGRAD_LINE_Cn_FEM::getDofCoords
virtual void getDofCoords(ScalarViewType dofCoords) const override
Returns spatial locations (coordinates) of degrees of freedom on the reference cell.
Definition Intrepid2_HGRAD_LINE_Cn_FEM.hpp:214
Intrepid2::Basis_HGRAD_QUAD_Cn_FEM::getValues
virtual void getValues(const ExecutionSpace &space, OutputViewType outputValues, const PointViewType inputPoints, const EOperator operatorType=OPERATOR_VALUE) const override
Evaluation of a FEM basis on a reference cell.
Definition Intrepid2_HGRAD_QUAD_Cn_FEM.hpp:164
Intrepid2::Basis_HGRAD_QUAD_Cn_FEM::Basis_HGRAD_QUAD_Cn_FEM
Basis_HGRAD_QUAD_Cn_FEM(const ordinal_type order, const EPointType pointType=POINTTYPE_EQUISPACED)
Constructor.
Definition Intrepid2_HGRAD_QUAD_Cn_FEMDef.hpp:246
Intrepid2::Basis_HGRAD_QUAD_Cn_FEM::getScratchSpaceSize
virtual void getScratchSpaceSize(ordinal_type &perTeamSpaceSize, ordinal_type &perThreadSpaceSize, const PointViewType inputPointsconst, const EOperator operatorType=OPERATOR_VALUE) const override
Return the size of the scratch space, in bytes, needed for using the team-level implementation of get...
Definition Intrepid2_HGRAD_QUAD_Cn_FEMDef.hpp:363
Intrepid2::Basis::PointViewType
Kokkos::DynRankView< PointValueType, Kokkos::LayoutStride, DeviceType > PointViewType
View type for input points.
Definition Intrepid2_Basis.hpp:338
Intrepid2::Basis::getDofTag
const OrdinalTypeArrayStride1DHost getDofTag(const ordinal_type dofOrd) const
DoF ordinal to DoF tag lookup.
Definition Intrepid2_Basis.hpp:941
Intrepid2::Basis::getCardinality
ordinal_type getCardinality() const
Returns cardinality of the basis.
Definition Intrepid2_Basis.hpp:805
Intrepid2::Basis< DeviceType, outputValueType, pointValueType >::scalarType
ScalarTraits< pointValueType >::scalar_type scalarType
Scalar type for point values.
Definition Intrepid2_Basis.hpp:157
Intrepid2::Basis::OrdinalTypeArray1DHost
Kokkos::View< ordinal_type *, typename ExecutionSpace::array_layout, Kokkos::HostSpace > OrdinalTypeArray1DHost
View type for 1d host array.
Definition Intrepid2_Basis.hpp:125
Intrepid2::Parameters::MaxOrder
static constexpr ordinal_type MaxOrder
The maximum reconstruction order.
Definition Intrepid2_Types.hpp:102
Intrepid2::Impl::Basis_HGRAD_QUAD_Cn_FEM::Serial
See Intrepid2::Basis_HGRAD_QUAD_Cn_FEM work is a rank 1 view having the same value_type of inputPoint...
Definition Intrepid2_HGRAD_QUAD_Cn_FEM.hpp:39
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