std::ostream& DenseContainer<MatrixType,LocalScalarType>::
print (std::ostream& os) const
{
Teuchos::FancyOStream fos (Teuchos::rcpFromRef (os));
fos.setOutputToRootOnly (0);
this->describe (fos);
return os;
}
std::ostream&
OverlappingPartitioner<GraphType>::print (std::ostream& os) const
{
Teuchos::FancyOStream fos (Teuchos::rcpFromRef (os));
fos.setOutputToRootOnly (0);
describe (fos);
return os;
}
//! Print all of the views associated with the Matrix.
void PrintViews(Teuchos::FancyOStream &out) const {
int last = out.getOutputToRootOnly();
Teuchos::OSTab tab(out);
out.setOutputToRootOnly(0);
Teuchos::Array<viewLabel_t> viewLabels;
Teuchos::Array<RCP<MatrixView> > viewList;
operatorViewTable_.arrayify(viewLabels,viewList);
out << "views associated with this operator" << std::endl;
for (int i=0; i<viewLabels.size(); ++i)
out << viewLabels[i] << std::endl;
out.setOutputToRootOnly(last);
}
void performance_test_driver_epetra( const int pdeg ,
const int minvar ,
const int maxvar ,
const int nGrid ,
const int nIter ,
const bool print ,
const bool test_block ,
const bool check ,
Teuchos::FancyOStream& out)
{
out.precision(8);
//------------------------------
out << std::endl
<< "\"#nGrid\" , \"NNZ\" "
<< "\"#Variable\" , \"PolyDegree\" , \"#Bases\" , "
<< "\"#TensorEntry\" , "
<< "\"VectorSize\" , "
<< "\"Original-Matrix-Free-Block-MXV-Time\" , "
<< "\"Original-Matrix-Free-Block-MXV-GFLOPS\" , "
<< std::endl ;
for ( int nvar = minvar ; nvar <= maxvar ; ++nvar ) {
Teuchos::Array<int> var_degree( nvar , pdeg );
const Teuchos::Array<double> perf_original_mat_free_epetra =
test_original_matrix_free_epetra( var_degree , nGrid , nIter , print , test_block , check );
out << nGrid << " , "
<< perf_original_mat_free_epetra[4] << " , "
<< nvar << " , " << pdeg << " , "
<< perf_original_mat_free_epetra[0] << " , "
<< perf_original_mat_free_epetra[3] << " , "
<< perf_original_mat_free_epetra[2] << " , "
<< perf_original_mat_free_epetra[5] << " , "
<< perf_original_mat_free_epetra[6] << " , "
<< std::endl ;
}
}
void OverlappingRowMatrix<MatrixType>::describe(Teuchos::FancyOStream &out,
const Teuchos::EVerbosityLevel verbLevel) const
{
using std::endl;
using std::setw;
using Teuchos::as;
using Teuchos::VERB_DEFAULT;
using Teuchos::VERB_NONE;
using Teuchos::VERB_LOW;
using Teuchos::VERB_MEDIUM;
using Teuchos::VERB_HIGH;
using Teuchos::VERB_EXTREME;
using Teuchos::RCP;
using Teuchos::null;
using Teuchos::ArrayView;
Teuchos::EVerbosityLevel vl = verbLevel;
if (vl == VERB_DEFAULT) {
vl = VERB_LOW;
}
RCP<const Teuchos::Comm<int> > comm = this->getComm();
const int myRank = comm->getRank();
const int numProcs = comm->getSize();
size_t width = 1;
for (size_t dec=10; dec<getGlobalNumRows(); dec *= 10) {
++width;
}
width = std::max<size_t> (width, as<size_t> (11)) + 2;
Teuchos::OSTab tab(out);
// none: print nothing
// low: print O(1) info from node 0
// medium: print O(P) info, num entries per process
// high: print O(N) info, num entries per row
// extreme: print O(NNZ) info: print indices and values
//
// for medium and higher, print constituent objects at specified verbLevel
if (vl != VERB_NONE) {
if (myRank == 0) {
out << this->description() << std::endl;
}
// O(1) globals, minus what was already printed by description()
//if (isFillComplete() && myRank == 0) {
// out << "Global number of diagonal entries: " << getGlobalNumDiags() << std::endl;
// out << "Global max number of entries in a row: " << getGlobalMaxNumRowEntries() << std::endl;
//}
// constituent objects
if (vl == VERB_MEDIUM || vl == VERB_HIGH || vl == VERB_EXTREME) {
if (myRank == 0) {
out << endl << "Row map:" << endl;
}
getRowMap()->describe(out,vl);
//
if (getColMap() != null) {
if (getColMap() == getRowMap()) {
if (myRank == 0) {
out << endl << "Column map is row map.";
}
}
else {
if (myRank == 0) {
out << endl << "Column map:" << endl;
}
getColMap()->describe(out,vl);
}
}
if (getDomainMap() != null) {
if (getDomainMap() == getRowMap()) {
if (myRank == 0) {
out << endl << "Domain map is row map.";
}
}
else if (getDomainMap() == getColMap()) {
if (myRank == 0) {
out << endl << "Domain map is column map.";
}
}
else {
if (myRank == 0) {
out << endl << "Domain map:" << endl;
}
getDomainMap()->describe(out,vl);
}
}
if (getRangeMap() != null) {
if (getRangeMap() == getDomainMap()) {
if (myRank == 0) {
out << endl << "Range map is domain map." << endl;
}
}
else if (getRangeMap() == getRowMap()) {
if (myRank == 0) {
out << endl << "Range map is row map." << endl;
}
}
else {
if (myRank == 0) {
out << endl << "Range map: " << endl;
}
getRangeMap()->describe(out,vl);
}
}
if (myRank == 0) {
out << endl;
}
}
// O(P) data
if (vl == VERB_MEDIUM || vl == VERB_HIGH || vl == VERB_EXTREME) {
for (int curRank = 0; curRank < numProcs; ++curRank) {
if (myRank == curRank) {
out << "Process rank: " << curRank << std::endl;
out << " Number of entries: " << getNodeNumEntries() << std::endl;
if (isFillComplete()) {
out << " Number of diagonal entries: " << getNodeNumDiags() << std::endl;
}
out << " Max number of entries per row: " << getNodeMaxNumRowEntries() << std::endl;
}
comm->barrier();
comm->barrier();
comm->barrier();
}
}
// O(N) and O(NNZ) data
if (vl == VERB_HIGH || vl == VERB_EXTREME) {
for (int curRank = 0; curRank < numProcs; ++curRank) {
if (myRank == curRank) {
out << std::setw(width) << "Proc Rank"
<< std::setw(width) << "Global Row"
<< std::setw(width) << "Num Entries";
if (vl == VERB_EXTREME) {
out << std::setw(width) << "(Index,Value)";
}
out << endl;
for (size_t r = 0; r < getNodeNumRows (); ++r) {
const size_t nE = getNumEntriesInLocalRow(r);
typename MatrixType::global_ordinal_type gid = getRowMap()->getGlobalElement(r);
out << std::setw(width) << myRank
<< std::setw(width) << gid
<< std::setw(width) << nE;
if (vl == VERB_EXTREME) {
if (isGloballyIndexed()) {
ArrayView<const typename MatrixType::global_ordinal_type> rowinds;
ArrayView<const typename MatrixType::scalar_type> rowvals;
getGlobalRowView (gid, rowinds, rowvals);
for (size_t j = 0; j < nE; ++j) {
out << " (" << rowinds[j]
<< ", " << rowvals[j]
<< ") ";
}
}
else if (isLocallyIndexed()) {
ArrayView<const typename MatrixType::local_ordinal_type> rowinds;
ArrayView<const typename MatrixType::scalar_type> rowvals;
getLocalRowView (r, rowinds, rowvals);
for (size_t j=0; j < nE; ++j) {
out << " (" << getColMap()->getGlobalElement(rowinds[j])
<< ", " << rowvals[j]
<< ") ";
}
} // globally or locally indexed
} // vl == VERB_EXTREME
out << endl;
} // for each row r on this process
} // if (myRank == curRank)
comm->barrier();
comm->barrier();
comm->barrier();
}
out.setOutputToRootOnly(0);
out << "===========\nlocal matrix\n=================" << std::endl;
out.setOutputToRootOnly(-1);
A_->describe(out,Teuchos::VERB_EXTREME);
out.setOutputToRootOnly(0);
out << "===========\nend of local matrix\n=================" << std::endl;
comm->barrier();
out.setOutputToRootOnly(0);
out << "=================\nghost matrix\n=================" << std::endl;
out.setOutputToRootOnly(-1);
ExtMatrix_->describe(out,Teuchos::VERB_EXTREME);
out.setOutputToRootOnly(0);
out << "===========\nend of ghost matrix\n=================" << std::endl;
}
}
}
