/usr/include/trilinos/MueLu_CoupledAggregationCommHelper_def.hpp is in libtrilinos-muelu-dev 12.12.1-5.
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//
// ***********************************************************************
//
// MueLu: A package for multigrid based preconditioning
// Copyright 2012 Sandia Corporation
//
// Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY
// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE
// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
// LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//
// Questions? Contact
// Jonathan Hu (jhu@sandia.gov)
// Andrey Prokopenko (aprokop@sandia.gov)
// Ray Tuminaro (rstumin@sandia.gov)
//
// ***********************************************************************
//
// @HEADER
#ifndef MUELU_COUPLEDAGGREGATIONCOMMHELPER_DEF_HPP
#define MUELU_COUPLEDAGGREGATIONCOMMHELPER_DEF_HPP
#include <Xpetra_MapFactory.hpp>
#include <Xpetra_BlockedMultiVector.hpp>
#include <Xpetra_BlockedVector.hpp>
#include <Xpetra_VectorFactory.hpp>
#include <Xpetra_ImportFactory.hpp>
#include <Xpetra_ExportFactory.hpp>
#include "MueLu_CoupledAggregationCommHelper_decl.hpp"
#include "MueLu_Utilities.hpp" // MueLu_maxAll
namespace MueLu {
template <class LocalOrdinal, class GlobalOrdinal, class Node>
CoupledAggregationCommHelper<LocalOrdinal, GlobalOrdinal, Node>::CoupledAggregationCommHelper(const RCP<const Map> & uniqueMap, const RCP<const Map> & nonUniqueMap) {
import_ = ImportFactory::Build(uniqueMap, nonUniqueMap);
tempVec_ = VectorFactory::Build(uniqueMap,false); //zeroed out before use
numMyWinners_ = 0;
numCalls_ = 0;
myPID_ = uniqueMap->getComm()->getRank();
}
template <class LocalOrdinal, class GlobalOrdinal, class Node>
void CoupledAggregationCommHelper<LocalOrdinal, GlobalOrdinal, Node>::ArbitrateAndCommunicate(Vector &weight_, LOVector &procWinner_, LOVector *companion, const bool perturb) const {
const RCP<const Map> weightMap = weight_.getMap();
const size_t nodeNumElements = weightMap->getNodeNumElements();
const RCP<const Teuchos::Comm<int> > & comm = weightMap->getComm();
int MyPid = comm->getRank(); // TODO:remove the getMap() step
++numCalls_;
//short-circuit if only one process
if (comm->getSize() == 1) {
ArrayRCP<SC> serialWeight = weight_.getDataNonConst(0);
ArrayRCP<LO> serialProcWinner = procWinner_.getDataNonConst(0);
for (size_t i=0; i < nodeNumElements; ++i) {
if (serialWeight[i] > 0) {
serialWeight[i] = 0;
serialProcWinner[i] = MyPid;
}
}
//companion doesn't change
return;
}
#ifdef COMPARE_IN_OUT_VECTORS
RCP<Vector> in_weight_ = VectorFactory::Build(weight_.getMap());
{
ArrayRCP<SC> in_weight = in_weight_->getDataNonConst(0);
ArrayRCP<SC> weight = weight_.getDataNonConst(0);
for (size_t i=0; i < nodeNumElements; ++i) in_weight[i] = weight[i];
}
RCP<LOVector> in_procWinner_ = LOVectorFactory::Build(procWinner_.getMap());
{
ArrayRCP<LO> in_procWinner = in_procWinner_->getDataNonConst(0);
ArrayRCP<LO> procWinner = procWinner_.getDataNonConst(0);
for (size_t i=0; i < nodeNumElements; ++i) in_procWinner[i] = procWinner[i];
}
RCP<LOVector> in_companion;
{
if (companion != NULL) {
in_companion = LOVectorFactory::Build(companion->getMap());
ArrayRCP<LO> in_comp = in_companion->getDataNonConst(0);
ArrayRCP<LO> comp = companion->getDataNonConst(0);
for (size_t i=0; i < nodeNumElements; ++i) in_comp[i] = comp[i];
}
}
#endif
typedef Teuchos::ScalarTraits<SC> ST;
if (perturb) {
if (perturbWt_ == Teuchos::null || !perturbWt_->getMap()->isSameAs(*weightMap)) {
perturbWt_ = VectorFactory::Build(weightMap,false); //no need to zero out because this will be randomized
// Modify seed of the random algorithm used by perturbWt_->randomize()
{
ST::seedrandom( Teuchos::as<unsigned int>(MyPid*47) );
for (int i = 0; i < 10; ++i) ST::random();
}
//Note that we must not use perturbWt_->randomize(). This produces the same
//local random vector on each processor. The whole point of the weights
//is to provide tie-breaking that isn't based on the highest PID.
ArrayRCP<SC> lperturbWt = perturbWt_->getDataNonConst(0);
for (size_t i=0; i < nodeNumElements; ++i)
lperturbWt[i] = 1e-7*fabs(ST::random()); //FIXME this won't work for general SC
#ifdef COMPARE_IN_OUT_VECTORS
ArrayRCP<SC> locperturbWt = perturbWt_->getDataNonConst(0);
for (size_t i=0; i < nodeNumElements; ++i)
printf("perturbWt[%d] = %15.10e\n",i,locperturbWt[i]);
#endif
} //if (perturbWt_ == Teuchos::null || ...
ArrayRCP<SC> weight = weight_.getDataNonConst(0); // TODO: const?
ArrayRCP<SC> perturbWt = perturbWt_->getDataNonConst(0);
// Note: maxValue() not available for Tpetra
//SC largestGlobalWeight = weight_.maxValue();
SC largestGlobalWeight = weight_.normInf();
for (size_t i=0; i < nodeNumElements; ++i) {
if (weight[i] != 0.) {
weight[i] += largestGlobalWeight*perturbWt[i];
}
}
//TODO is it necessary to return the *perturbed* weights?
} //if (perturb)
// Communicate weights and store results in PostComm (which will be copied
// back into weights later. When multiple processors have different weights
// for the same GID, we take the largest weight. After this fragment every
// processor should have the same value for PostComm[] even when multiple
// copies of the same Gid are involved.
if (postComm_ == Teuchos::null || !postComm_->getMap()->isSameAs(*weightMap) )
postComm_ = VectorFactory::Build(weightMap);
//note: postComm_ is zeroed either in build above, or in loop below upon last touch.
NonUnique2NonUnique(weight_, *postComm_, Xpetra::ABSMAX);
// Let every processor know who is the procWinner. For nonunique
// copies of the same Gid, this corresponds to the processor with
// the highest Wt[]. When several processors have the same positive value
// for weight[] (which is also the maximum value), the highest proc id
// is declared the procWinner.
//
// Note:This is accomplished by filling a vector with MyPid+1 if weight[k] is
// nonzero and PostComm[k]==weight[k]. NonUnique2NonUnique(...,AbsMax)
// is invoked to let everyone know the procWinner.
// One is then subtracted so that procWinner[i] indicates the
// Pid of the winning processor.
// When all weight's for a GID are zero, the associated procWinner's
// are left untouched.
if (candidateWinners_ == Teuchos::null || !candidateWinners_->getMap()->isSameAs(*weightMap) )
candidateWinners_ = VectorFactory::Build(weightMap,false);
//note: candidateWinners_ is initialized below
ArrayRCP<SC> weight = weight_.getDataNonConst(0);
{
ArrayRCP<SC> candidateWinners = candidateWinners_->getDataNonConst(0);
ArrayRCP<SC> postComm = postComm_->getDataNonConst(0);
for (size_t i=0; i < nodeNumElements; ++i) {
if (postComm[i] == weight[i]) candidateWinners[i] = (SC) MyPid+1;
else candidateWinners[i] = 0;
weight[i]=postComm[i];
}
}
NonUnique2NonUnique(*candidateWinners_, *postComm_, Xpetra::ABSMAX);
// Note:
// associated CandidateWinners[]
// weight[i]!=0 ==> on some proc is equal to its ==> postComm[i]!=0
// MyPid+1.
//
int numMyWinners = 0;
ArrayRCP<LO> procWinner = procWinner_.getDataNonConst(0);
{
ArrayRCP<SC> postComm = postComm_->getDataNonConst(0);
for (size_t i=0; i < nodeNumElements; ++i) {
if ( weight[i] != 0.) procWinner[i] = ((int) (postComm[i])) - 1;
weight[i] = 0.; //we are done with weight
postComm[i] = 0.; //avoids having to initialize postComm_ on next call to ArbitrateAndCommunicate
if (procWinner[i] == MyPid) ++numMyWinners;
}
}
weight = Teuchos::null; //TODO why do we do this?
if (companion != NULL) {
// Now build a new Map, WinnerMap which just consists of procWinners.
// This is done by extracting the Gids for Wt, and shoving
// the subset that correspond to procWinners in MyWinners.
// WinnerMap is then constructed using MyWinners.
//
// In order to avoid regenerating winnerMap_, the following are checked:
// 1) Do the local number of entries in MyWinners differ? If so, regenerate/repopulate MyWinners and regenerate winnerMap_.
// 2) If the local number of entries in MyWinners are the same, do any entries differ? If so, repopulate MyWinners and
// regenerate winnerMap_.
ArrayView<const GO> myGids = weightMap->getNodeElementList(); //== weightMap->MyGlobalElements(myGids);
bool realloc=false;
if (numMyWinners != numMyWinners_ || winnerMap_ == Teuchos::null) {
// The local number of entries in MyWinners_ have changed since the last invocation, so reallocate myWinners_.
myWinners_ = ArrayRCP<GO>(numMyWinners);
realloc=true;
//std::cout << MyPid << ": numMyWinners has changed : (old) " << numMyWinners_ << ", (new) " << numMyWinners << std::endl;
numMyWinners_ = numMyWinners;
}
#ifdef JG_DEBUG
procWinner = Teuchos::null;
std::cout << MyPid << ": nodeNumElements=" << nodeNumElements << std::endl;
std::cout << MyPid << ": procWinner=" << procWinner_ << std::endl;
procWinner = procWinner_.getDataNonConst(0);
#endif
if (realloc==true) {
// The local number of entries in MyWinners have changed since the last invocation, so repopulate MyWinners_.
numMyWinners = 0;
for (size_t i = 0; i < nodeNumElements; ++i) {
if (procWinner[i] == MyPid) {
myWinners_[numMyWinners++] = myGids[i];
}
}
} else {
// The local number of entries in MyWinners are the same as the last invocation, but
// we still must check if any entries differ from the last invocation.
bool entryMismatch=false;
numMyWinners = 0;
for (size_t i = 0; i < nodeNumElements; ++i) {
if (procWinner[i] == MyPid) {
if (myWinners_[numMyWinners++] != myGids[i]) {
entryMismatch=true;
break;
}
}
}
if (entryMismatch == true) {
// Entries differ from last invocation, so repopulate myWinners_.
realloc=true;
numMyWinners = 0;
for (size_t i = 0; i < nodeNumElements; ++i) {
if (procWinner[i] == MyPid) {
myWinners_[numMyWinners++] = myGids[i];
}
}
}
} //if (realloc==true) ... else
procWinner = Teuchos::null;
#ifdef JG_DEBUG
std::cout << MyPid << ": numMyWinners=" << numMyWinners << std::endl;
std::cout << MyPid << ": myWinners_" << myWinners_ << std::endl;
for(int i=0;i<numMyWinners; i++)
std::cout << MyPid << ": myWinners_[locId=" << i << "] = " << myWinners_[i] << std::endl;
#endif
#ifdef HAVE_MPI
//See whether any process has determined that winnerMap_ must be regenerated.
int irealloc,orealloc;
if (realloc) irealloc=1;
else irealloc=0;
MueLu_maxAll(comm,irealloc,orealloc);
if (orealloc == 1) realloc=true;
else realloc=false;
#endif
if (realloc) {
// Either the number of entries or the value have changed since the last invocation, so reallocation the map.
const Xpetra::global_size_t GSTI = Teuchos::OrdinalTraits<Xpetra::global_size_t>::invalid();
winnerMap_ = MapFactory::Build(weightMap->lib(), GSTI, myWinners_(), 0, weightMap->getComm());
}
// Pull the Winners out of companion
// JustWinners <-- companion[Winners];
RCP<LOVector> justWinners = LOVectorFactory::Build(winnerMap_);
#ifdef JG_DEBUG
RCP<Teuchos::FancyOStream> out = rcp(new Teuchos::FancyOStream(rcp(&std::cout,false)));
std::cout << MyPid << ": justWinners(Vector in)=" << *justWinners << std::endl;
justWinners->describe(*out, Teuchos::VERB_EXTREME);
#endif
if ( winnerImport_ == Teuchos::null
|| !winnerImport_->getSourceMap()->isSameAs(*weightMap)
|| !winnerImport_->getTargetMap()->isSameAs(*winnerMap_) )
winnerImport_ = ImportFactory::Build(weightMap, winnerMap_);
RCP<const Import> winnerImport = winnerImport_;
try
{
justWinners->doImport(*companion, *winnerImport, Xpetra::INSERT);
}
catch(std::exception& e)
{
std::cout << MyPid << ": ERR2: An exception occurred." << std::endl;
throw e;
}
// Put the JustWinner values back into companion so that
// all nonunique copies of the same Gid have the procWinner's
// version of the companion.
//#define JG_DEBUG
#ifdef JG_DEBUG
RCP<Teuchos::FancyOStream> fos = Teuchos::fancyOStream(Teuchos::rcpFromRef(std::cout));
fos->setOutputToRootOnly(-1);
if (!weightMap->getComm()->getRank())
std::cout << "------ winnerMap_ ------" << std::endl;
winnerMap_->describe(*fos,Teuchos::VERB_EXTREME);
if (!weightMap->getComm()->getRank())
std::cout << "------ weightMap ------" << std::endl;
weightMap->getComm()->barrier();
weightMap->describe(*fos,Teuchos::VERB_EXTREME);
//std::cout << *winnerMap_ << std::endl;
//std::cout << *weightMap << std::endl;
sleep(5);
exit(1);
#endif
#ifdef JG_DEBUG
#undef JG_DEBUG
#endif
if ( pushWinners_ == Teuchos::null
|| !pushWinners_->getSourceMap()->isSameAs(*winnerMap_)
|| !pushWinners_->getTargetMap()->isSameAs(*weightMap) )
pushWinners_ = ImportFactory::Build(winnerMap_,weightMap);
RCP<Import> pushWinners = pushWinners_;
//RCP<Import> pushWinners = ImportFactory::Build(winnerMap_, weightMap); // VERSION1
//RCP<Export> pushWinners = ExportFactory::Build(winnerMap_, weightMap); // VERSION4
try
{
companion->doImport(*justWinners, *pushWinners, Xpetra::INSERT); // VERSION1 Slow
//companion->doExport(*justWinners, *winnerImport_, Xpetra::INSERT); // JJH this should work... but exception
// if (weightMap->lib() == Xpetra::UseEpetra)
// justWinners->doExport(*companion, *winnerImport, Xpetra::INSERT); // VERSION2 Tpetra doc is wrong
// else if (weightMap->lib() == Xpetra::UseTpetra)
// companion->doExport(*justWinners, *winnerImport, Xpetra::INSERT); // VERSION3 - TODO: will certainly not work with Epetra? (change Xpetra?)
//companion->doExport(*justWinners, *pushWinners, Xpetra::INSERT); // VERSION4
// else throw "lib()";
}
catch(std::exception& e)
{
throw e;
}
//#define JG_DEBUG
#ifdef JG_DEBUG
// RCP<Teuchos::FancyOStream> out = rcp(new Teuchos::FancyOStream(rcp(&std::cout,false)));
//->describe(*out, Teuchos::VERB_EXTREME);
// std::cout << MyPid << ": ERR3: An exception occurred." << std::endl;
std::cout << MyPid << ": numMyWinners=" << numMyWinners << std::endl;
std::cout << MyPid << ": justWinners(Vector in)=" << std::endl;
justWinners->describe(*out, Teuchos::VERB_EXTREME);
std::cout << MyPid << ": companion(Vector out)=" << std::endl;
companion->describe(*out, Teuchos::VERB_EXTREME);
// std::cout << MyPid << ": pushWinners(Import(winnerMap_, weight_.Map))=" << *pushWinners << std::endl;
std::cout << MyPid << ": winnerMap_=" << *winnerMap_ << std::endl;
std::cout << MyPid << ": weight_.Map=" << *weightMap << std::endl;
#endif
// throw e;
// throw 1;
}
#ifdef COMPARE_IN_OUT_VECTORS
if (MyPid == 0) {
std::cout << "==============" << std::endl;
std::cout << "call #" << numCalls << " (1-based)" << std::endl;
std::cout << "==============" << std::endl;
}
/*
bool sameWeight=true;
bool sameWinner=true;
bool sameComp=true;
*/
std::string sameOrDiff;
{
ArrayRCP<SC> in_weight = in_weight_->getDataNonConst(0);
ArrayRCP<SC> weight = weight_.getDataNonConst(0);
if (MyPid == 0) std::cout << "==============\nweight\n==============\n" << std::endl;
for (size_t i=0; i < weight_.getLocalLength(); ++i) {
if (in_weight[i] - weight[i] != 0) sameOrDiff = " <<<<";
else sameOrDiff = " ";
std::cout << std::setw(3) << i<<": " << in_weight[i] << " " << weight[i] << sameOrDiff << in_weight[i] - weight[i] << std::endl;
/*
if (in_weight[i] != weight[i]) {
sameWeight=false;
std::cout << "\n\nin and out weight DIFFER\n\n" << std::endl;
std::cout << "i="<<i<<", in=" << in_weight[i] << " , out=" << weight[i] << std::endl;
break;
}
*/
}
}
{
ArrayRCP<LO> in_procWinner = in_procWinner_->getDataNonConst(0);
ArrayRCP<LO> procWinner = procWinner_.getDataNonConst(0);
if (MyPid == 0) std::cout << "==============\nprocWinner\n==============\n" << std::endl;
for (size_t i=0; i < procWinner_.getLocalLength(); ++i) {
if (in_procWinner[i] != procWinner[i]) sameOrDiff = " <<<<";
else sameOrDiff = " ";
std::cout << std::setw(3) << i<<": " << in_procWinner[i] << " " << procWinner[i] << sameOrDiff << std::endl;
/*
if (in_procWinner[i] != procWinner[i]) {
sameWinner=false;
std::cout << "\n\nin and out procWinner DIFFER\n\n" << std::endl;
std::cout << "i="<<i<<", in=" << in_procWinner[i] << ", out=" << procWinner[i] << std::endl;
break;
}
*/
}
}
{
if (companion != NULL) {
ArrayRCP<LO> in_comp = in_companion->getDataNonConst(0);
ArrayRCP<LO> comp = companion->getDataNonConst(0);
if (MyPid == 0) std::cout << "==============\ncompanion\n==============\n" << std::endl;
for (size_t i=0; i < companion->getLocalLength(); ++i) {
if (in_comp[i] != comp[i]) sameOrDiff = " <<<<";
else sameOrDiff = " ";
std::cout << std::setw(3) << i<<": " << in_comp[i] << " " << comp[i] << sameOrDiff << std::endl;
/*
if (in_comp[i] != comp[i]) {
sameComp=false;
std::cout << "\n\nin and out companion DIFFER\n\n" << std::endl;
std::cout << "i="<<i<<", in=" << in_comp[i] << ", out=" << comp[i] << std::endl;
break;
}
*/
}
}
}
#endif
} //ArbitrateAndCommunicate(Vector&, LOVector &, LOVector *, const bool) const
template <class LocalOrdinal, class GlobalOrdinal, class Node>
void CoupledAggregationCommHelper<LocalOrdinal, GlobalOrdinal, Node>::NonUnique2NonUnique(const Vector &source, Vector &dest, const Xpetra::CombineMode what) const {
tempVec_->putScalar(0.);
try
{
tempVec_->doExport(source, *import_, what);
dest.doImport(*tempVec_, *import_, Xpetra::INSERT);
}
catch(std::exception& e)
{
int MyPid = tempVec_->getMap()->getComm()->getRank();
std::cout << MyPid << ": ERR1: An exception occurred." << std::endl;
throw e;
}
}
}
#endif // MUELU_COUPLEDAGGREGATIONCOMMHELPER_DEF_HPP
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