void EquilibriumConcentrationBC<PHAL::AlbanyTraits::Tangent, Traits>::
evaluateFields(typename Traits::EvalData dirichletWorkset)
{
Teuchos::RCP<Tpetra_Vector> fT = dirichletWorkset.fT;
Teuchos::RCP<Tpetra_MultiVector> fpT = dirichletWorkset.fpT;
Teuchos::RCP<Tpetra_MultiVector> JVT = dirichletWorkset.JVT;
Teuchos::RCP<const Tpetra_Vector> xT = dirichletWorkset.xT;
Teuchos::RCP<const Tpetra_MultiVector> VxT = dirichletWorkset.VxT;
Teuchos::ArrayRCP<const ST> VxT_constView;
Teuchos::ArrayRCP<ST> fT_nonconstView;
if (fT != Teuchos::null) fT_nonconstView = fT->get1dViewNonConst();
Teuchos::ArrayRCP<const ST> xT_constView = xT->get1dView();
const RealType j_coeff = dirichletWorkset.j_coeff;
const std::vector<std::vector<int>>& nsNodes =
dirichletWorkset.nodeSets->find(this->nodeSetID)->second;
int cunk, punk;
ScalarT Cval;
ScalarT pressure;
for (unsigned int inode = 0; inode < nsNodes.size(); inode++)
{
cunk = nsNodes[inode][this->coffset_];
punk = nsNodes[inode][this->poffset_];
pressure = xT_constView[punk];
this->computeBCs(pressure, Cval);
if (fT != Teuchos::null)
{
fT_nonconstView[cunk] = xT_constView[cunk] - Cval.val();
}
if (JVT != Teuchos::null) {
Teuchos::ArrayRCP<ST> JVT_nonconstView;
for (int i=0; i<dirichletWorkset.num_cols_x; i++)
{
JVT_nonconstView = JVT->getDataNonConst(i);
VxT_constView = VxT->getData(i);
JVT_nonconstView[cunk] = j_coeff*VxT_constView[cunk];
}
}
if (fpT != Teuchos::null) {
Teuchos::ArrayRCP<ST> fpT_nonconstView;
for (int i=0; i<dirichletWorkset.num_cols_p; i++)
{
fpT_nonconstView = fpT->getDataNonConst(i);
fpT_nonconstView[cunk] = -Cval.dx(dirichletWorkset.param_offset+i);
}
}
}
}
void EquilibriumConcentrationBC<PHAL::AlbanyTraits::Jacobian, Traits>::
evaluateFields(typename Traits::EvalData dirichletWorkset)
{
Teuchos::RCP<Tpetra_Vector> fT = dirichletWorkset.fT;
Teuchos::RCP<const Tpetra_Vector> xT = dirichletWorkset.xT;
Teuchos::ArrayRCP<const ST> xT_constView = xT->get1dView();
Teuchos::RCP<Tpetra_CrsMatrix> jacT = dirichletWorkset.JacT;
const RealType j_coeff = dirichletWorkset.j_coeff;
const std::vector<std::vector<int>>& nsNodes =
dirichletWorkset.nodeSets->find(this->nodeSetID)->second;
bool fillResid = (fT != Teuchos::null);
Teuchos::ArrayRCP<ST> fT_nonconstView;
if (fillResid) fT_nonconstView = fT->get1dViewNonConst();
int cunk, punk;
ScalarT Cval;
ScalarT pressure;
Teuchos::Array<LO> index(1);
Teuchos::Array<ST> value(1);
size_t numEntriesT;
value[0] = j_coeff;
Teuchos::Array<ST> matrixEntriesT;
Teuchos::Array<LO> matrixIndicesT;
for (unsigned int inode = 0; inode < nsNodes.size(); inode++)
{
cunk = nsNodes[inode][this->coffset_];
punk = nsNodes[inode][this->poffset_];
pressure = xT_constView[punk];
this->computeBCs(pressure, Cval);
// replace jac values for the C dof
numEntriesT = jacT->getNumEntriesInLocalRow(cunk);
matrixEntriesT.resize(numEntriesT);
matrixIndicesT.resize(numEntriesT);
jacT->getLocalRowCopy(cunk, matrixIndicesT(), matrixEntriesT(), numEntriesT);
for (int i=0; i<numEntriesT; i++) matrixEntriesT[i]=0;
jacT->replaceLocalValues(cunk, matrixIndicesT(), matrixEntriesT());
index[0] = cunk;
jacT->replaceLocalValues(cunk, index(), value());
if (fillResid)
{
fT_nonconstView[cunk] = xT_constView[cunk] - Cval.val();
}
}
}
void panzer::ScatterDirichletResidual_Tpetra<panzer::Traits::Jacobian, TRAITS,LO,GO,NodeT>::
evaluateFields(typename TRAITS::EvalData workset)
{
std::vector<GO> GIDs;
// for convenience pull out some objects from workset
std::string blockId = workset.block_id;
const std::vector<std::size_t> & localCellIds = workset.cell_local_ids;
Teuchos::RCP<typename LOC::VectorType> r = tpetraContainer_->get_f();
Teuchos::RCP<typename LOC::CrsMatrixType> Jac = tpetraContainer_->get_A();
Teuchos::ArrayRCP<double> r_array = r->get1dViewNonConst();
Teuchos::ArrayRCP<double> dc_array = dirichletCounter_->get1dViewNonConst();
// NOTE: A reordering of these loops will likely improve performance
// The "getGIDFieldOffsets may be expensive. However the
// "getElementGIDs" can be cheaper. However the lookup for LIDs
// may be more expensive!
// scatter operation for each cell in workset
for(std::size_t worksetCellIndex=0;worksetCellIndex<localCellIds.size();++worksetCellIndex) {
std::size_t cellLocalId = localCellIds[worksetCellIndex];
globalIndexer_->getElementGIDs(cellLocalId,GIDs);
const std::vector<LO> & LIDs = globalIndexer_->getElementLIDs(cellLocalId);
// loop over each field to be scattered
for(std::size_t fieldIndex = 0; fieldIndex < scatterFields_.size(); fieldIndex++) {
int fieldNum = fieldIds_[fieldIndex];
// this call "should" get the right ordering according to the Intrepid basis
const std::pair<std::vector<int>,std::vector<int> > & indicePair
= globalIndexer_->getGIDFieldOffsets_closure(blockId,fieldNum, side_subcell_dim_, local_side_id_);
const std::vector<int> & elmtOffset = indicePair.first;
const std::vector<int> & basisIdMap = indicePair.second;
// loop over basis functions
for(std::size_t basis=0;basis<elmtOffset.size();basis++) {
int offset = elmtOffset[basis];
LO lid = LIDs[offset];
if(lid<0) // not on this processor
continue;
int basisId = basisIdMap[basis];
if (checkApplyBC_)
if (!applyBC_[fieldIndex](worksetCellIndex,basisId))
continue;
// zero out matrix row
{
std::size_t sz = Jac->getNumEntriesInLocalRow(lid);
std::size_t numEntries = 0;
Teuchos::Array<LO> rowIndices(sz);
Teuchos::Array<double> rowValues(sz);
// Jac->getLocalRowView(lid,numEntries,rowValues,rowIndices);
Jac->getLocalRowCopy(lid,rowIndices,rowValues,numEntries);
for(std::size_t i=0;i<numEntries;i++)
rowValues[i] = 0.0;
Jac->replaceLocalValues(lid,rowIndices,rowValues);
}
GO gid = GIDs[offset];
const ScalarT scatterField = (scatterFields_[fieldIndex])(worksetCellIndex,basisId);
r_array[lid] = scatterField.val();
dc_array[lid] = 1.0; // mark row as dirichlet
// loop over the sensitivity indices: all DOFs on a cell
std::vector<double> jacRow(scatterField.size(),0.0);
for(int sensIndex=0;sensIndex<scatterField.size();++sensIndex)
jacRow[sensIndex] = scatterField.fastAccessDx(sensIndex);
TEUCHOS_ASSERT(jacRow.size()==GIDs.size());
Jac->replaceGlobalValues(gid, GIDs, jacRow);
}
}
}
}
void panzer::ScatterDirichletResidual_BlockedTpetra<panzer::Traits::Jacobian, TRAITS,LO,GO,NodeT>::
evaluateFields(typename TRAITS::EvalData workset)
{
using Teuchos::RCP;
using Teuchos::ArrayRCP;
using Teuchos::ptrFromRef;
using Teuchos::rcp_dynamic_cast;
using Thyra::VectorBase;
using Thyra::SpmdVectorBase;
using Thyra::ProductVectorBase;
using Thyra::BlockedLinearOpBase;
std::vector<std::pair<int,GO> > GIDs;
std::vector<LO> LIDs;
// for convenience pull out some objects from workset
std::string blockId = this->wda(workset).block_id;
const std::vector<std::size_t> & localCellIds = this->wda(workset).cell_local_ids;
RCP<ProductVectorBase<double> > r = rcp_dynamic_cast<ProductVectorBase<double> >(blockedContainer_->get_f());
Teuchos::RCP<BlockedLinearOpBase<double> > Jac = rcp_dynamic_cast<BlockedLinearOpBase<double> >(blockedContainer_->get_A());
int numFieldBlocks = globalIndexer_->getNumFieldBlocks();
std::vector<int> blockOffsets(numFieldBlocks+1); // number of fields, plus a sentinnel
for(int blk=0; blk<numFieldBlocks; blk++) {
int blockOffset = globalIndexer_->getBlockGIDOffset(blockId,blk);
blockOffsets[blk] = blockOffset;
}
std::unordered_map<std::pair<int,int>,Teuchos::RCP<CrsMatrixType>,panzer::pair_hash> jacTpetraBlocks;
// NOTE: A reordering of these loops will likely improve performance
// The "getGIDFieldOffsets may be expensive. However the
// "getElementGIDs" can be cheaper. However the lookup for LIDs
// may be more expensive!
// scatter operation for each cell in workset
for(std::size_t worksetCellIndex=0; worksetCellIndex<localCellIds.size(); ++worksetCellIndex) {
std::size_t cellLocalId = localCellIds[worksetCellIndex];
globalIndexer_->getElementGIDs(cellLocalId,GIDs);
blockOffsets[numFieldBlocks] = GIDs.size();
// caculate the local IDs for this element
LIDs.resize(GIDs.size());
for(std::size_t i=0; i<GIDs.size(); i++) {
// used for doing local ID lookups
RCP<const MapType> r_map = blockedContainer_->getMapForBlock(GIDs[i].first);
LIDs[i] = r_map->getLocalElement(GIDs[i].second);
}
// loop over each field to be scattered
Teuchos::ArrayRCP<double> local_r, local_dc;
for(std::size_t fieldIndex = 0; fieldIndex < scatterFields_.size(); fieldIndex++) {
int fieldNum = fieldIds_[fieldIndex];
int blockRowIndex = globalIndexer_->getFieldBlock(fieldNum);
RCP<SpmdVectorBase<double> > dc = rcp_dynamic_cast<SpmdVectorBase<double> >(dirichletCounter_->getNonconstVectorBlock(blockRowIndex));
dc->getNonconstLocalData(ptrFromRef(local_dc));
// grab local data for inputing
RCP<SpmdVectorBase<double> > block_r = rcp_dynamic_cast<SpmdVectorBase<double> >(r->getNonconstVectorBlock(blockRowIndex));
block_r->getNonconstLocalData(ptrFromRef(local_r));
// this call "should" get the right ordering according to the Intrepid basis
const std::pair<std::vector<int>,std::vector<int> > & indicePair
= globalIndexer_->getGIDFieldOffsets_closure(blockId,fieldNum, side_subcell_dim_, local_side_id_);
const std::vector<int> & elmtOffset = indicePair.first;
const std::vector<int> & basisIdMap = indicePair.second;
// loop over basis functions
for(std::size_t basis=0; basis<elmtOffset.size(); basis++) {
int offset = elmtOffset[basis];
int lid = LIDs[offset];
if(lid<0) // not on this processor
continue;
int basisId = basisIdMap[basis];
if (checkApplyBC_)
if (!applyBC_[fieldIndex](worksetCellIndex,basisId))
continue;
// zero out matrix row
for(int blockColIndex=0; blockColIndex<numFieldBlocks; blockColIndex++) {
int start = blockOffsets[blockColIndex];
int end = blockOffsets[blockColIndex+1];
if(end-start<=0)
continue;
// check hash table for jacobian sub block
std::pair<int,int> blockIndex = std::make_pair(blockRowIndex,blockColIndex);
Teuchos::RCP<CrsMatrixType> subJac = jacTpetraBlocks[blockIndex];
// if you didn't find one before, add it to the hash table
if(subJac==Teuchos::null) {
Teuchos::RCP<Thyra::LinearOpBase<double> > tOp = Jac->getNonconstBlock(blockIndex.first,blockIndex.second);
// block operator is null, don't do anything (it is excluded)
if(Teuchos::is_null(tOp))
continue;
Teuchos::RCP<OperatorType> tpetra_Op = rcp_dynamic_cast<ThyraLinearOp>(tOp)->getTpetraOperator();
subJac = rcp_dynamic_cast<CrsMatrixType>(tpetra_Op,true);
jacTpetraBlocks[blockIndex] = subJac;
}
std::size_t sz = subJac->getNumEntriesInLocalRow(lid);
std::size_t numEntries = 0;
Teuchos::Array<LO> rowIndices(sz);
Teuchos::Array<double> rowValues(sz);
subJac->getLocalRowCopy(lid,rowIndices,rowValues,numEntries);
for(std::size_t i=0; i<numEntries; i++)
rowValues[i] = 0.0;
subJac->replaceLocalValues(lid,rowIndices,rowValues);
}
const ScalarT scatterField = (scatterFields_[fieldIndex])(worksetCellIndex,basisId);
local_r[lid] = scatterField.val();
local_dc[lid] = 1.0; // mark row as dirichlet
// loop over the sensitivity indices: all DOFs on a cell
std::vector<double> jacRow(scatterField.size(),0.0);
for(int sensIndex=0; sensIndex<scatterField.size(); ++sensIndex)
jacRow[sensIndex] = scatterField.fastAccessDx(sensIndex);
TEUCHOS_ASSERT(jacRow.size()==GIDs.size());
for(int blockColIndex=0; blockColIndex<numFieldBlocks; blockColIndex++) {
int start = blockOffsets[blockColIndex];
int end = blockOffsets[blockColIndex+1];
if(end-start<=0)
continue;
// check hash table for jacobian sub block
std::pair<int,int> blockIndex = std::make_pair(blockRowIndex,blockColIndex);
Teuchos::RCP<CrsMatrixType> subJac = jacTpetraBlocks[blockIndex];
// if you didn't find one before, add it to the hash table
if(subJac==Teuchos::null) {
Teuchos::RCP<Thyra::LinearOpBase<double> > tOp = Jac->getNonconstBlock(blockIndex.first,blockIndex.second);
// block operator is null, don't do anything (it is excluded)
if(Teuchos::is_null(tOp))
continue;
Teuchos::RCP<OperatorType> tpetra_Op = rcp_dynamic_cast<ThyraLinearOp>(tOp)->getTpetraOperator();
subJac = rcp_dynamic_cast<CrsMatrixType>(tpetra_Op,true);
jacTpetraBlocks[blockIndex] = subJac;
}
// Sum Jacobian
subJac->replaceLocalValues(lid, Teuchos::arrayViewFromVector(LIDs).view(start,end-start),
Teuchos::arrayViewFromVector(jacRow).view(start,end-start));
}
}
}
}
}
void panzer::ScatterResidual_BlockedEpetra<panzer::Traits::Jacobian, TRAITS,LO,GO>::
evaluateFields(typename TRAITS::EvalData workset)
{
using Teuchos::RCP;
using Teuchos::ArrayRCP;
using Teuchos::ptrFromRef;
using Teuchos::rcp_dynamic_cast;
using Thyra::VectorBase;
using Thyra::SpmdVectorBase;
using Thyra::ProductVectorBase;
using Thyra::BlockedLinearOpBase;
typedef BlockedEpetraLinearObjContainer BLOC;
std::vector<std::pair<int,GO> > GIDs;
std::vector<LO> LIDs;
std::vector<double> jacRow;
// for convenience pull out some objects from workset
std::string blockId = this->wda(workset).block_id;
const std::vector<std::size_t> & localCellIds = this->wda(workset).cell_local_ids;
RCP<const BLOC> blockedContainer = blockedContainer_;
RCP<ProductVectorBase<double> > r = rcp_dynamic_cast<ProductVectorBase<double> >(blockedContainer->get_f());
Teuchos::RCP<BlockedLinearOpBase<double> > Jac = rcp_dynamic_cast<BlockedLinearOpBase<double> >(blockedContainer->get_A());
int numFieldBlocks = globalIndexer_->getNumFieldBlocks();
std::vector<int> blockOffsets(numFieldBlocks+1); // number of fields, plus a sentinnel
for(int blk=0;blk<numFieldBlocks;blk++) {
int blockOffset = globalIndexer_->getBlockGIDOffset(blockId,blk);
blockOffsets[blk] = blockOffset;
}
std::unordered_map<std::pair<int,int>,Teuchos::RCP<Epetra_CrsMatrix>,panzer::pair_hash> jacEpetraBlocks;
// NOTE: A reordering of these loops will likely improve performance
// The "getGIDFieldOffsets" may be expensive. However the
// "getElementGIDs" can be cheaper. However the lookup for LIDs
// may be more expensive!
// scatter operation for each cell in workset
for(std::size_t worksetCellIndex=0;worksetCellIndex<localCellIds.size();++worksetCellIndex) {
std::size_t cellLocalId = localCellIds[worksetCellIndex];
globalIndexer_->getElementGIDs(cellLocalId,GIDs,blockId);
// caculate the local IDs for this element
LIDs.resize(GIDs.size());
for(std::size_t i=0;i<GIDs.size();i++) {
// used for doing local ID lookups
RCP<const Epetra_Map> r_map = blockedContainer->getMapForBlock(GIDs[i].first);
LIDs[i] = r_map->LID(GIDs[i].second);
}
// loop over each field to be scattered
Teuchos::ArrayRCP<double> local_r;
for(std::size_t fieldIndex = 0; fieldIndex < scatterFields_.size(); fieldIndex++) {
int fieldNum = fieldIds_[fieldIndex];
int blockRowIndex = globalIndexer_->getFieldBlock(fieldNum);
// grab local data for inputing
if(r!=Teuchos::null) {
RCP<SpmdVectorBase<double> > block_r = rcp_dynamic_cast<SpmdVectorBase<double> >(r->getNonconstVectorBlock(blockRowIndex));
block_r->getNonconstLocalData(ptrFromRef(local_r));
}
const std::vector<int> & elmtOffset = globalIndexer_->getGIDFieldOffsets(blockId,fieldNum);
// loop over the basis functions (currently they are nodes)
for(std::size_t rowBasisNum = 0; rowBasisNum < elmtOffset.size(); rowBasisNum++) {
const ScalarT scatterField = (scatterFields_[fieldIndex])(worksetCellIndex,rowBasisNum);
int rowOffset = elmtOffset[rowBasisNum];
int r_lid = LIDs[rowOffset];
// Sum residual
if(local_r!=Teuchos::null)
local_r[r_lid] += (scatterField.val());
blockOffsets[numFieldBlocks] = scatterField.size(); // add the sentinel
// loop over the sensitivity indices: all DOFs on a cell
jacRow.resize(scatterField.size());
// For Neumann conditions with no dependence on degrees of freedom, there should be no Jacobian contribution
if(scatterField.size() == 0)
continue;
for(int sensIndex=0;sensIndex<scatterField.size();++sensIndex) {
jacRow[sensIndex] = scatterField.fastAccessDx(sensIndex);
}
for(int blockColIndex=0;blockColIndex<numFieldBlocks;blockColIndex++) {
int start = blockOffsets[blockColIndex];
int end = blockOffsets[blockColIndex+1];
if(end-start<=0)
continue;
// check hash table for jacobian sub block
std::pair<int,int> blockIndex = std::make_pair(blockRowIndex,blockColIndex);
Teuchos::RCP<Epetra_CrsMatrix> subJac = jacEpetraBlocks[blockIndex];
// if you didn't find one before, add it to the hash table
if(subJac==Teuchos::null) {
Teuchos::RCP<Thyra::LinearOpBase<double> > tOp = Jac->getNonconstBlock(blockIndex.first,blockIndex.second);
// block operator is null, don't do anything (it is excluded)
if(Teuchos::is_null(tOp))
continue;
Teuchos::RCP<Epetra_Operator> eOp = Thyra::get_Epetra_Operator(*tOp);
subJac = rcp_dynamic_cast<Epetra_CrsMatrix>(eOp,true);
jacEpetraBlocks[blockIndex] = subJac;
}
// Sum Jacobian
int err = subJac->SumIntoMyValues(r_lid, end-start, &jacRow[start],&LIDs[start]);
if(err!=0) {
RCP<const Epetra_Map> rr = blockedContainer->getMapForBlock(GIDs[start].first);
bool sameColMap = subJac->ColMap().SameAs(*rr);
std::stringstream ss;
ss << "Failed inserting row: " << GIDs[rowOffset].second << " (" << r_lid << "): ";
for(int i=start;i<end;i++)
ss << GIDs[i].second << " (" << LIDs[i] << ") ";
ss << std::endl;
ss << "Into block " << blockRowIndex << ", " << blockColIndex << std::endl;
ss << "scatter field = ";
scatterFields_[fieldIndex].print(ss);
ss << std::endl;
ss << "Same map = " << (sameColMap ? "true" : "false") << std::endl;
TEUCHOS_TEST_FOR_EXCEPTION(err!=0,std::runtime_error,ss.str());
}
}
} // end rowBasisNum
} // end fieldIndex
}
}
double QCAD::EvaluatorTools<PHAL::AlbanyTraits::Tangent, Traits>::
getDoubleValue(const ScalarT& t) const
{
return t.val();
}
void Response_Functional<panzer::Traits::Tangent>::
scatterResponse()
{
const int n = value.size();
const int num_deriv = this->numDeriv();
TEUCHOS_ASSERT(n == 0 || n == num_deriv);
ScalarT glbValue = ScalarT(num_deriv, 0.0);
// do global summation -- it is possible to do the reduceAll() on the Fad's directly, but it is somewhat
// complicated for DFad (due to temporaries that might get created). Since this is just a sum, it is
// easier to do the reduction for each value and derivative component.
Teuchos::reduceAll(*this->getComm(), Teuchos::REDUCE_SUM, Thyra::Ordinal(1), &value.val(), &glbValue.val());
if (num_deriv > 0)
Teuchos::reduceAll(*this->getComm(), Teuchos::REDUCE_SUM, Thyra::Ordinal(n), value.dx(), &glbValue.fastAccessDx(0));
value = glbValue;
// copy data in vectors
if(this->useEpetra()) {
// use epetra
Epetra_MultiVector& deriv = this->getEpetraMultiVector();
for (int i=0; i<num_deriv; ++i)
deriv[i][0] = glbValue.dx(i);
}
else {
// use thyra
TEUCHOS_ASSERT(this->useThyra());
Thyra::ArrayRCP< Thyra::ArrayRCP<double> > deriv = this->getThyraMultiVector();
for (int i=0; i<num_deriv; ++i)
deriv[i][0] = glbValue.dx(i);
}
}