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test_distributedfullgrid.cpp
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test_distributedfullgrid.cpp
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#define BOOST_TEST_DYN_LINK
// to resolve https://github.com/open-mpi/ompi/issues/5157
#define OMPI_SKIP_MPICXX 1
#include <mpi.h>
#include <boost/test/unit_test.hpp>
#include <complex>
#include <cstdarg>
#include <iostream>
#include <random>
#include <vector>
#include "TaskConstParaboloid.hpp"
#include "combicom/CombiCom.hpp"
#include "fullgrid/DistributedFullGrid.hpp"
#include "fullgrid/FullGrid.hpp"
#include "hierarchization/DistributedHierarchization.hpp"
#include "io/H5InputOutput.hpp"
#include "mpi/MPIMemory.hpp"
#include "test_helper.hpp"
#include "utils/MonteCarlo.hpp"
#include "utils/Types.hpp"
using namespace combigrid;
/**
* functor for test function $f(x) = \sum_{i=0}^d x_i * (i+1)$
* which maps to points on a hyperplane
*/
class TestFn {
public:
// function value
std::complex<double> operator()(std::vector<double>& coords) {
std::complex<double> result(1, 0);
for (size_t d = 0; d < coords.size(); ++d) {
result += coords[d] * (double)(d + 1);
}
return result;
}
};
void checkDistributedFullgridMemory(LevelVector& levels, bool forward = false) {
auto commSize = getCommSize(MPI_COMM_WORLD);
std::vector<size_t> groupSizes;
// TODO allow non-pow2 group sizes
size_t groupSize = 1;
while (groupSize <= commSize) {
groupSizes.push_back(groupSize);
groupSize *= 2;
}
std::vector<long unsigned int> vmSizes(groupSizes.size());
std::vector<long unsigned int> vmSizesReference(groupSizes.size());
const auto dim = static_cast<DimType>(levels.size());
std::vector<BoundaryType> boundary(dim, 2);
for (size_t i = 0; i < groupSizes.size(); ++i) {
// get memory footprints for after allocating different dfgs
std::vector<int> procs(dim, 1);
procs[0] = static_cast<int>(groupSizes[i]);
CommunicatorType comm = TestHelper::getComm(procs);
long unsigned int vmRSS, vmSize = 0;
if (comm != MPI_COMM_NULL) {
BOOST_TEST_CHECKPOINT("test distributedfullgrid memory " + std::to_string(groupSizes[i]));
// // get current global memory footprint
// mpimemory::get_all_memory_usage_kb(&vmRSS, &vmSizesReference[i], comm);
{
// create "empty" dfg (resp. the cartesian communicator)
// and get current global memory footprint
CommunicatorType cartesian_communicator;
std::vector<int> intProcs(procs.rbegin(), procs.rend());
std::vector<int> periods(dim, 0);
int reorder = 0;
MPI_Cart_create(comm, static_cast<int>(dim), &intProcs[0], &periods[0], reorder,
&cartesian_communicator);
// this should scale linearly w.r.t. size of comm
mpimemory::get_all_memory_usage_kb(&vmRSS, &vmSizesReference[i], comm);
MPI_Comm_free(&cartesian_communicator);
}
{
// create dfg and get same footprint
OwningDistributedFullGrid<double> dfg(dim, levels, comm, boundary, procs, forward);
mpimemory::get_all_memory_usage_kb(&vmRSS, &vmSize, comm);
// check that the local number of points is what we expect
unsigned long numElementsRef = static_cast<unsigned long>(dfg.getNrElements());
unsigned long numElements = 0;
unsigned long numLocalElements = static_cast<unsigned long>(dfg.getNrLocalElements());
MPI_Allreduce(&numLocalElements, &numElements, 1, MPI_UNSIGNED_LONG, MPI_SUM, comm);
BOOST_TEST(numElements == numElementsRef);
}
vmSizes[i] = vmSize - vmSizesReference[i];
// compare allocated memory sizes
// check for linear scaling (grace 100% for memory size jitter & decomposition_ member)
if (TestHelper::getRank(comm) == 0) {
BOOST_TEST_CHECKPOINT("reference " + std::to_string(groupSizes[i]) + ": " +
std::to_string(vmSizesReference[i]) +
", vmSize: " + std::to_string(vmSizes[i]));
BOOST_TEST_MESSAGE("reference " + std::to_string(groupSizes[i]) + ": " +
std::to_string(vmSizesReference[i]) +
", vmSize: " + std::to_string(vmSizes[i]));
if (i > 0) {
BOOST_TEST(static_cast<double>(vmSizes[i]) <= ((vmSizes[0] + 500) * 2.));
}
}
}
// update parallelization so it matches the next groupSize
procs[i % dim] *= 2;
}
MPI_Barrier(MPI_COMM_WORLD);
BOOST_CHECK(!TestHelper::testStrayMessages());
}
template <typename T>
real checkInnerBasisFunctionIntegral(const DistributedFullGrid<T>& dfg) {
auto dim = dfg.getDimension();
auto& levels = dfg.getLevels();
auto& boundary = dfg.returnBoundaryFlags();
IndexType nrElements = 1;
for (DimType d = 0; d < dim; ++d) {
nrElements *= (1 << levels[d]) + boundary[d] - 1;
}
BOOST_CHECK(nrElements == dfg.getNrElements());
auto innerNodalBasisFunctionIntegral = dfg.getInnerNodalBasisFunctionIntegral();
auto levelSum = combigrid::levelSum(levels);
BOOST_CHECK_CLOSE(innerNodalBasisFunctionIntegral, oneOverPowOfTwo[levelSum],
TestHelper::tolerance);
return innerNodalBasisFunctionIntegral;
}
template <typename T>
std::vector<double> checkCoordinates(const DistributedFullGrid<T>& dfg) {
// check coordinates
std::vector<double> coordsGlobal(dfg.getDimension());
std::vector<double> coordsGlobalAgain(dfg.getDimension());
IndexType globalIndex = -1;
for (IndexType i = 0; i < dfg.getNrLocalElements(); ++i) {
globalIndex = dfg.getGlobalLinearIndex(i);
dfg.getCoordsGlobal(globalIndex, coordsGlobal);
dfg.getCoordsLocal(i, coordsGlobalAgain);
BOOST_CHECK_EQUAL_COLLECTIONS(coordsGlobal.begin(), coordsGlobal.end(),
coordsGlobalAgain.begin(), coordsGlobalAgain.end());
for (DimType d = 0; d < dfg.getDimension(); ++d) {
BOOST_CHECK_GE(coordsGlobal[d], dfg.getLowerBoundsCoord(d));
}
}
return coordsGlobalAgain;
}
void checkDistributedFullgrid(LevelVector& levels, std::vector<int>& procs,
std::vector<BoundaryType>& boundary, bool forward = false) {
std::vector<int> periodic;
for (const auto& b : boundary) {
periodic.push_back(b == 1 ? 1 : 0);
}
CommunicatorType comm = TestHelper::getComm(procs, periodic);
if (comm == MPI_COMM_NULL) return;
if (TestHelper::getRank(comm) == 0) {
std::cout << "test distributedfullgrid " << levels << procs << std::endl;
}
TestFn f;
const auto dim = static_cast<DimType>(levels.size());
BOOST_TEST_CHECKPOINT("create dfg");
OwningDistributedFullGrid<std::complex<double>> dfg(dim, levels, comm, boundary, procs, forward);
// set function values
for (IndexType li = 0; li < dfg.getNrLocalElements(); ++li) {
std::vector<double> coords(dim);
dfg.getCoordsLocal(li, coords);
dfg.getData()[li] = f(coords);
}
BOOST_TEST_CHECKPOINT("set function values");
// test addDistributedFullGrid, extractFromUniformSG
LevelVector lmin = levels;
LevelVector lmax = levels;
for (DimType d = 0; d < dim; ++d) {
lmax[d] *= 2;
}
DistributedSparseGridUniform<std::complex<double>> dsg(dim, lmax, lmin, comm);
dsg.registerDistributedFullGrid(dfg);
BOOST_TEST_CHECKPOINT("register uniform sg");
OwningDistributedFullGrid<std::complex<double>> dfg2(dim, levels, comm, boundary, procs, forward);
dsg.registerDistributedFullGrid(dfg2);
dsg.createSubspaceData();
dsg.setZero();
dsg.addDistributedFullGrid(dfg, 2.1);
BOOST_TEST_CHECKPOINT("add to uniform sg");
dfg2.extractFromUniformSG(dsg);
BOOST_TEST_CHECKPOINT("extract from uniform sg");
for (IndexType li = 0; li < dfg.getNrLocalElements(); ++li) {
std::vector<double> coords(dim);
dfg.getCoordsLocal(li, coords);
BOOST_TEST(2.1 * dfg.getData()[li] == dfg2.getData()[li]);
}
// test full grid interpolation
std::vector<std::vector<double>> interpolationCoords;
interpolationCoords.emplace_back(dim, 1. / std::sqrt(2.));
interpolationCoords.emplace_back(dim, 1. / std::sqrt(3.));
interpolationCoords.emplace_back(dim, 1. / std::sqrt(5.));
interpolationCoords.emplace_back(dim, 0.5);
interpolationCoords.emplace_back(dim, 0.5 + 1e-4);
interpolationCoords.emplace_back(dim, 0.5 - 1e-4);
interpolationCoords.emplace_back(dim, 0.5 + 1e-5);
interpolationCoords.emplace_back(dim, 0.5 - 1e-5);
auto interpolatedValues = dfg.getInterpolatedValues(interpolationCoords);
for (size_t i = 0; i < interpolationCoords.size(); ++i) {
BOOST_CHECK_CLOSE(interpolatedValues[i].real(), f(interpolationCoords[i]).real(),
TestHelper::tolerance);
}
// test norm calculation
auto maxnorm = dfg.getLpNorm(0);
auto onenorm = dfg.getLpNorm(1);
auto twonorm = dfg.getLpNorm(2);
if (std::all_of(boundary.begin(), boundary.end(), [](BoundaryType i) { return i == 2; })) {
// check that InnerNodalBasisFunctionIntegral is correct
double numFullInnerBasisFcns = 1.;
for (DimType d = 0; d < dim; ++d) {
numFullInnerBasisFcns *= static_cast<double>(dfg.globalNumPointsInDimension(d) - 1);
}
BOOST_CHECK_CLOSE(dfg.getInnerNodalBasisFunctionIntegral(), 1. / numFullInnerBasisFcns,
TestHelper::tolerance);
std::vector<double> maxcoords(dim, 1.);
BOOST_CHECK_EQUAL(f(maxcoords), maxnorm);
// solution is a hyperplane, so the L1 norm is equal to the value in the middle
std::vector<double> middlecoords(dim, 0.5);
BOOST_CHECK_CLOSE(std::abs(f(middlecoords)), onenorm, TestHelper::tolerance);
}
// lazy for the two-norm, just check boundedness relations:
BOOST_CHECK(twonorm <= onenorm);
BOOST_CHECK(onenorm <= maxnorm);
// test ghost layer exchange
std::vector<int> subarrayExtents;
for (DimType d = 0; d < dim; ++d) {
auto ghostLayer = dfg.exchangeGhostLayerUpward(d, subarrayExtents);
IndexVector offsets(dim);
IndexType numElements = 1;
for (DimType j = 0; j < dim; ++j) {
offsets[j] = numElements;
numElements *= subarrayExtents[j];
}
BOOST_CHECK_EQUAL(ghostLayer.size(), numElements);
if (numElements > 0) {
BOOST_CHECK_EQUAL(subarrayExtents[d], 1);
for (size_t j = 0; j < numElements; ++j) {
// calculate local axis indices of ghost layer points
// == axis index of lowest layer in dim d for dfg
IndexVector locAxisIndex(dim), globAxisIndex(dim);
IndexType tmp = j;
for (int i = static_cast<int>(dim) - 1; i >= 0; i--) {
locAxisIndex[i] = tmp / offsets[i];
tmp = tmp % offsets[i];
}
// calculate global indices and coordinates of ghost layer points
dfg.getGlobalVectorIndex(locAxisIndex, globAxisIndex);
--globAxisIndex[d];
if (boundary[d] == 1 && globAxisIndex[d] < 0) {
// wrap around
globAxisIndex[d] += dfg.globalNumPointsInDimension(d);
}
std::vector<double> coords(dim);
dfg.getCoordsGlobal(dfg.getGlobalLinearIndex(globAxisIndex), coords);
BOOST_CHECK_EQUAL(ghostLayer[j], f(coords));
}
}
}
// test gatherFullgrid
FullGrid<std::complex<double>> fg(dim, levels, boundary);
dfg.gatherFullGrid(fg, 0);
// only check on rank 0
if (TestHelper::getRank(comm) == 0) {
for (size_t i = 0; i < static_cast<size_t>(fg.getNrElements()); ++i) {
std::vector<double> coords(dim);
fg.getCoords(i, coords);
BOOST_TEST(fg.getData()[i] == f(coords));
}
}
// std::stringstream ss;
// ss << "test_dfg_" << levels << procs << boundary << forward << ".vtk";
// dfg.writePlotFileVTK(ss.str().c_str());
// create distributed fg and copy values
OwningDistributedFullGrid<std::complex<double>> dfgCopy(
dim, dfg.getLevels(), dfg.getCommunicator(), dfg.returnBoundaryFlags(),
dfg.getParallelization(), true, dfg.getDecomposition());
for (IndexType li = 0; li < dfg.getNrLocalElements(); ++li) {
dfgCopy.getData()[li] = dfg.getData()[li];
}
BOOST_TEST_CHECKPOINT("copied to dfgCopy");
// test lower to upper exchange
for (DimType d = 0; d < dim; ++d) {
// std::cout << dfg << std::endl;
if (boundary[d] == 2) {
dfg.writeLowerBoundaryToUpperBoundary(d);
for (IndexType i = 0; i < dfg.getNrLocalElements(); ++i) {
std::vector<double> coords(dim);
dfg.getCoordsLocal(i, coords);
if (std::abs((coords[d] - 1.)) < TestHelper::tolerance) {
bool edge = false;
// if other dimensions are at maximum too, we are at an edge
// results may differ; skip
for (DimType d_i = 0; d_i < dim; ++d_i) {
if (d_i != d && std::abs((coords[d_i] - 1.)) < TestHelper::tolerance) {
edge = true;
}
}
if (!edge) {
// check if the value is the same as on the lower boundary
auto compareCoords = coords;
compareCoords[d] = 0.;
BOOST_CHECK_EQUAL(dfg.getData()[i], f(compareCoords));
}
} else {
bool otherBoundary = false;
for (DimType d_i = 0; d_i < dim; ++d_i) {
if (d_i != d && std::abs((coords[d_i] - 1.)) < TestHelper::tolerance) {
otherBoundary = true;
}
}
if (!otherBoundary) {
// make sure all other values remained the same
BOOST_CHECK_EQUAL(dfg.getData()[i], f(coords));
}
}
}
}
}
// std::cout << dfg << std::endl;
}
BOOST_FIXTURE_TEST_SUITE(distributedfullgrid, TestHelper::BarrierAtEnd,
*boost::unit_test::timeout(600))
// with boundary
// isotropic
BOOST_AUTO_TEST_CASE(test_minus3) {
BOOST_REQUIRE(TestHelper::checkNumMPIProcsAvailable(1));
LevelVector levels = {1, 2};
std::vector<int> procs = {1, 1};
std::vector<BoundaryType> boundary(2, 2);
checkDistributedFullgrid(levels, procs, boundary);
}
BOOST_AUTO_TEST_CASE(test_minus2) {
BOOST_REQUIRE(TestHelper::checkNumMPIProcsAvailable(1));
LevelVector levels = {2, 3};
std::vector<int> procs = {1, 1};
std::vector<BoundaryType> boundary(2, 2);
checkDistributedFullgrid(levels, procs, boundary);
}
BOOST_AUTO_TEST_CASE(test_minus1) {
BOOST_REQUIRE(TestHelper::checkNumMPIProcsAvailable(1));
LevelVector levels = {1, 1, 2};
std::vector<int> procs = {1, 1, 1};
std::vector<BoundaryType> boundary(3, 2);
checkDistributedFullgrid(levels, procs, boundary);
}
BOOST_AUTO_TEST_CASE(test_0) {
BOOST_REQUIRE(TestHelper::checkNumMPIProcsAvailable(1));
LevelVector levels = {2, 3};
std::vector<int> procs = {1, 1};
std::vector<BoundaryType> boundary(2, 2);
checkDistributedFullgrid(levels, procs, boundary);
}
BOOST_AUTO_TEST_CASE(test_1) {
BOOST_REQUIRE(TestHelper::checkNumMPIProcsAvailable(6));
LevelVector levels = {2, 2};
std::vector<int> procs = {2, 3};
std::vector<BoundaryType> boundary(2, 2);
checkDistributedFullgrid(levels, procs, boundary);
}
BOOST_AUTO_TEST_CASE(test_2) {
BOOST_REQUIRE(TestHelper::checkNumMPIProcsAvailable(8));
LevelVector levels = {3, 3, 3};
std::vector<int> procs = {2, 2, 2};
std::vector<BoundaryType> boundary(3, 2);
checkDistributedFullgrid(levels, procs, boundary);
}
BOOST_AUTO_TEST_CASE(test_3) {
BOOST_REQUIRE(TestHelper::checkNumMPIProcsAvailable(8));
LevelVector levels = {3, 3, 3};
std::vector<int> procs = {2, 2, 2};
std::vector<BoundaryType> boundary(3, 2);
checkDistributedFullgrid(levels, procs, boundary, true);
}
// anisotropic
BOOST_AUTO_TEST_CASE(test_4) {
BOOST_REQUIRE(TestHelper::checkNumMPIProcsAvailable(4));
LevelVector levels = {2, 3};
std::vector<int> procs = {2, 2};
std::vector<BoundaryType> boundary(2, 2);
checkDistributedFullgrid(levels, procs, boundary);
}
BOOST_AUTO_TEST_CASE(test_5) {
BOOST_REQUIRE(TestHelper::checkNumMPIProcsAvailable(8));
LevelVector levels = {2, 4, 6};
std::vector<int> procs = {1, 4, 2};
std::vector<BoundaryType> boundary(3, 2);
checkDistributedFullgrid(levels, procs, boundary);
}
BOOST_AUTO_TEST_CASE(test_6) {
BOOST_REQUIRE(TestHelper::checkNumMPIProcsAvailable(8));
LevelVector levels = {2, 4, 6};
std::vector<int> procs = {1, 4, 2};
std::vector<BoundaryType> boundary(3, 2);
checkDistributedFullgrid(levels, procs, boundary, true);
}
// without boundary
// isotropic
BOOST_AUTO_TEST_CASE(test_7) {
BOOST_REQUIRE(TestHelper::checkNumMPIProcsAvailable(2));
LevelVector levels = {3, 3};
std::vector<int> procs = {2, 1};
std::vector<BoundaryType> boundary(2, 0);
checkDistributedFullgrid(levels, procs, boundary);
}
BOOST_AUTO_TEST_CASE(test_8) {
BOOST_REQUIRE(TestHelper::checkNumMPIProcsAvailable(8));
LevelVector levels = {4, 4, 4};
std::vector<int> procs = {2, 2, 2};
std::vector<BoundaryType> boundary(3, 0);
checkDistributedFullgrid(levels, procs, boundary);
}
BOOST_AUTO_TEST_CASE(test_9) {
BOOST_REQUIRE(TestHelper::checkNumMPIProcsAvailable(8));
LevelVector levels = {4, 4, 4};
std::vector<int> procs = {2, 2, 2};
std::vector<BoundaryType> boundary(3, 0);
checkDistributedFullgrid(levels, procs, boundary, true);
}
// anisotropic
BOOST_AUTO_TEST_CASE(test_10) {
BOOST_REQUIRE(TestHelper::checkNumMPIProcsAvailable(4));
LevelVector levels = {2, 3};
std::vector<int> procs = {2, 2};
std::vector<BoundaryType> boundary(2, 0);
checkDistributedFullgrid(levels, procs, boundary);
}
BOOST_AUTO_TEST_CASE(test_11) {
BOOST_REQUIRE(TestHelper::checkNumMPIProcsAvailable(8));
LevelVector levels = {2, 3, 4};
std::vector<int> procs = {2, 2, 2};
std::vector<BoundaryType> boundary(3, 0);
checkDistributedFullgrid(levels, procs, boundary);
}
BOOST_AUTO_TEST_CASE(test_12) {
BOOST_REQUIRE(TestHelper::checkNumMPIProcsAvailable(8));
LevelVector levels = {2, 3, 4};
std::vector<int> procs = {2, 2, 2};
std::vector<BoundaryType> boundary(3, 0);
checkDistributedFullgrid(levels, procs, boundary, true);
}
// partial boundary
// isotropic
BOOST_AUTO_TEST_CASE(test_13) {
BOOST_REQUIRE(TestHelper::checkNumMPIProcsAvailable(4));
LevelVector levels = {4, 4};
std::vector<int> procs = {2, 2};
std::vector<BoundaryType> boundary(2, 1);
boundary[1] = 2;
checkDistributedFullgrid(levels, procs, boundary);
}
BOOST_AUTO_TEST_CASE(test_14) {
BOOST_REQUIRE(TestHelper::checkNumMPIProcsAvailable(8));
LevelVector levels = {3, 3, 3};
std::vector<int> procs = {2, 2, 2};
std::vector<BoundaryType> boundary(3, 1);
boundary[0] = 2;
checkDistributedFullgrid(levels, procs, boundary);
}
// anisotropic
BOOST_AUTO_TEST_CASE(test_16) {
BOOST_REQUIRE(TestHelper::checkNumMPIProcsAvailable(4));
LevelVector levels = {2, 3};
std::vector<int> procs = {2, 2};
std::vector<BoundaryType> boundary(2, 1);
boundary[0] = 2;
checkDistributedFullgrid(levels, procs, boundary);
}
BOOST_AUTO_TEST_CASE(test_17) {
BOOST_REQUIRE(TestHelper::checkNumMPIProcsAvailable(8));
LevelVector levels = {3, 4, 3};
std::vector<int> procs = {2, 2, 2};
std::vector<BoundaryType> boundary(3, 1);
boundary[2] = 2;
checkDistributedFullgrid(levels, procs, boundary);
}
// memory
BOOST_AUTO_TEST_CASE(test_19) {
// level sum = 17 -> if sizeof(double) == 8,
// the grid's payload should be ~1 MB
// (2^17 * 8 / 2^20 = 1)
LevelVector levels = {9, 8};
checkDistributedFullgridMemory(levels, false);
}
BOOST_AUTO_TEST_CASE(test_20) {
LevelVector levels = {6, 6, 5};
checkDistributedFullgridMemory(levels, false);
}
BOOST_AUTO_TEST_CASE(test_21) {
LevelVector levels = {5, 4, 4, 4};
checkDistributedFullgridMemory(levels, false);
}
BOOST_AUTO_TEST_CASE(test_22) {
LevelVector levels = {3, 3, 3, 3, 3, 2};
checkDistributedFullgridMemory(levels, false);
}
BOOST_AUTO_TEST_CASE(compare_coordinates_by_boundary) {
std::vector<int> procs = {2, 2, 2, 1};
CommunicatorType comm = TestHelper::getComm(procs);
if (comm != MPI_COMM_NULL) {
LevelVector fullGridLevel = {3, 2, 3, 1};
DimType dim = static_cast<DimType>(procs.size());
std::vector<BoundaryType> boundary(dim, 2);
std::vector<BoundaryType> oneboundary(dim, 1);
std::vector<BoundaryType> noboundary(dim, 0);
OwningDistributedFullGrid<real> dfgTwoBoundary(dim, fullGridLevel, comm, boundary, procs,
false);
OwningDistributedFullGrid<real> dfgOneBoundary(dim, fullGridLevel, comm, oneboundary, procs,
false);
OwningDistributedFullGrid<real> dfgNoBoundary(dim, fullGridLevel, comm, noboundary, procs,
false);
auto twoBoundaryIntegral = checkInnerBasisFunctionIntegral(dfgTwoBoundary);
auto oneBoundaryIntegral = checkInnerBasisFunctionIntegral(dfgOneBoundary);
auto noBoundaryIntegral = checkInnerBasisFunctionIntegral(dfgNoBoundary);
BOOST_CHECK_CLOSE(twoBoundaryIntegral, oneBoundaryIntegral, TestHelper::tolerance);
BOOST_CHECK_CLOSE(twoBoundaryIntegral, noBoundaryIntegral, TestHelper::tolerance);
const auto& twoBoundaryGridSpacing = dfgTwoBoundary.getGridSpacing();
const auto& oneBoundaryGridSpacing = dfgOneBoundary.getGridSpacing();
const auto& noBoundaryGridSpacing = dfgNoBoundary.getGridSpacing();
for (DimType d = 0; d < dim; d++) {
BOOST_CHECK_CLOSE(twoBoundaryGridSpacing[d], oneBoundaryGridSpacing[d],
TestHelper::tolerance);
BOOST_CHECK_CLOSE(twoBoundaryGridSpacing[d], noBoundaryGridSpacing[d], TestHelper::tolerance);
}
auto twoBoundaryHighestCoordinate = checkCoordinates(dfgTwoBoundary);
auto oneBoundaryHighestCoordinate = checkCoordinates(dfgOneBoundary);
auto noBoundaryHighestCoordinate = checkCoordinates(dfgNoBoundary);
BOOST_CHECK_EQUAL_COLLECTIONS(
noBoundaryHighestCoordinate.begin(), noBoundaryHighestCoordinate.end(),
oneBoundaryHighestCoordinate.begin(), oneBoundaryHighestCoordinate.end());
for (DimType d = 0; d < dim; d++) {
if (dfgTwoBoundary.getCartesianUtils().isOnUpperBoundaryInDimension(d)) {
BOOST_CHECK_GT(twoBoundaryHighestCoordinate[d], noBoundaryHighestCoordinate[d]);
} else {
BOOST_CHECK_EQUAL(twoBoundaryHighestCoordinate[d], noBoundaryHighestCoordinate[d]);
}
}
for (const auto* dfg : {&dfgTwoBoundary, &dfgOneBoundary, &dfgNoBoundary}) {
auto localSizes = dfg->getLocalSizes();
auto upperBounds = dfg->getUpperBounds();
auto lowerBounds = dfg->getLowerBounds();
auto boundsDiff = upperBounds - lowerBounds;
BOOST_CHECK_EQUAL_COLLECTIONS(localSizes.begin(), localSizes.end(), boundsDiff.begin(),
boundsDiff.end());
auto globalSizes = dfg->getGlobalSizes();
BOOST_CHECK(localSizes <= globalSizes);
auto numDof = combigrid::getNumDofNodal(fullGridLevel, dfg->returnBoundaryFlags());
BOOST_CHECK_EQUAL(numDof, std::accumulate(globalSizes.begin(), globalSizes.end(), 1,
std::multiplies<IndexType>()));
auto localSizesReduced = localSizes;
MPI_Allreduce(MPI_IN_PLACE, localSizesReduced.data(), dim,
abstraction::getMPIDatatype(abstraction::getabstractionDataType<IndexType>()),
MPI_SUM, comm);
auto numProcs = std::accumulate(procs.begin(), procs.end(), 1, std::multiplies<int>());
for (DimType d = 0; d < dim; d++) {
// correct the reduced number of points that were added from processes parallel in other
// dimensions
localSizesReduced[d] = localSizesReduced[d] / (numProcs / procs[d]);
}
BOOST_CHECK_EQUAL_COLLECTIONS(localSizesReduced.begin(), localSizesReduced.end(),
globalSizes.begin(), globalSizes.end());
}
}
}
BOOST_AUTO_TEST_CASE(interpolation_test) {
std::vector<int> procs = {2, 2, 2, 1, 1, 1};
CommunicatorType comm = TestHelper::getComm(procs);
if (comm != MPI_COMM_NULL) {
LevelVector fullGridLevel = {3, 2, 3, 1, 1, 1};
DimType dim = static_cast<DimType>(procs.size());
std::vector<BoundaryType> boundary(dim, 2);
std::vector<BoundaryType> oneboundary(dim, 1);
std::vector<BoundaryType> noboundary(dim, 0);
OwningDistributedFullGrid<real> dfgTwoBoundary(dim, fullGridLevel, comm, boundary, procs,
false);
OwningDistributedFullGrid<real> dfgOneBoundary(dim, fullGridLevel, comm, oneboundary, procs,
false);
OwningDistributedFullGrid<real> dfgNoBoundary(dim, fullGridLevel, comm, noboundary, procs,
false);
// set function values on dfgs
// choose function that will be 0 on boundary
ParaboloidFn<CombiDataType> f;
std::vector<double> coords(dim);
for (IndexType li = 0; li < dfgTwoBoundary.getNrLocalElements(); ++li) {
dfgTwoBoundary.getCoordsLocal(li, coords);
dfgTwoBoundary.getData()[li] = f(coords);
}
for (IndexType li = 0; li < dfgOneBoundary.getNrLocalElements(); ++li) {
dfgOneBoundary.getCoordsLocal(li, coords);
dfgOneBoundary.getData()[li] = f(coords);
}
BOOST_CHECK_EQUAL(dfgTwoBoundary.getData()[0], dfgOneBoundary.getData()[0]);
BOOST_CHECK_EQUAL(dfgTwoBoundary.getData()[1], dfgOneBoundary.getData()[1]);
for (IndexType li = 0; li < dfgNoBoundary.getNrLocalElements(); ++li) {
dfgNoBoundary.getCoordsLocal(li, coords);
dfgNoBoundary.getData()[li] = f(coords);
}
auto numMCCoordinates = 1e2;
std::vector<std::vector<double>> interpolationCoords =
montecarlo::getRandomCoordinates(numMCCoordinates, static_cast<size_t>(dim));
auto interpolatedValuesTwoBoundary = dfgTwoBoundary.getInterpolatedValues(interpolationCoords);
auto interpolatedValuesOneBoundary = dfgOneBoundary.getInterpolatedValues(interpolationCoords);
auto interpolatedValuesNoBoundary = dfgNoBoundary.getInterpolatedValues(interpolationCoords);
if (TestHelper::getRank(comm) == 0) {
BOOST_CHECK_EQUAL_COLLECTIONS(
interpolatedValuesTwoBoundary.begin(), interpolatedValuesTwoBoundary.end(),
interpolatedValuesOneBoundary.begin(), interpolatedValuesOneBoundary.end());
BOOST_CHECK_EQUAL_COLLECTIONS(
interpolatedValuesTwoBoundary.begin(), interpolatedValuesTwoBoundary.end(),
interpolatedValuesNoBoundary.begin(), interpolatedValuesNoBoundary.end());
}
}
}
#ifdef NDEBUG // speed test -> run only in release mode
BOOST_AUTO_TEST_CASE(interpolation_speed_test) {
std::vector<int> procs = {2, 2, 2, 1, 1, 1};
CommunicatorType comm = TestHelper::getComm(procs);
if (comm != MPI_COMM_NULL) {
LevelVector fullGridLevel = {3, 2, 3, 1, 1, 1};
DimType dim = static_cast<DimType>(procs.size());
std::vector<BoundaryType> boundary(dim, 2);
std::vector<BoundaryType> oneboundary(dim, 1);
std::vector<BoundaryType> noboundary(dim, 0);
OwningDistributedFullGrid<real> dfgTwoBoundary(dim, fullGridLevel, comm, boundary, procs,
false);
OwningDistributedFullGrid<real> dfgOneBoundary(dim, fullGridLevel, comm, oneboundary, procs,
false);
OwningDistributedFullGrid<real> dfgNoBoundary(dim, fullGridLevel, comm, noboundary, procs,
false);
auto numMCCoordinates = 1e6;
std::vector<std::vector<double>> interpolationCoords =
montecarlo::getRandomCoordinates(numMCCoordinates, static_cast<size_t>(dim));
MPI_Barrier(comm);
auto start = std::chrono::high_resolution_clock::now();
auto interpolatedValues = dfgTwoBoundary.getInterpolatedValues(interpolationCoords);
auto end = std::chrono::high_resolution_clock::now();
auto duration = std::chrono::duration_cast<std::chrono::milliseconds>(end - start);
BOOST_TEST_MESSAGE("time to interpolate 1e6 values on two-boundary grid: " << duration.count()
<< " milliseconds");
BOOST_CHECK(duration.count() < 25000);
MPI_Barrier(comm);
start = std::chrono::high_resolution_clock::now();
interpolatedValues = dfgOneBoundary.getInterpolatedValues(interpolationCoords);
end = std::chrono::high_resolution_clock::now();
duration = std::chrono::duration_cast<std::chrono::milliseconds>(end - start);
BOOST_TEST_MESSAGE("time to interpolate 1e6 values on one-boundary grid: " << duration.count()
<< " milliseconds");
BOOST_CHECK(duration.count() < 25000);
MPI_Barrier(comm);
start = std::chrono::high_resolution_clock::now();
interpolatedValues = dfgNoBoundary.getInterpolatedValues(interpolationCoords);
end = std::chrono::high_resolution_clock::now();
duration = std::chrono::duration_cast<std::chrono::milliseconds>(end - start);
BOOST_TEST_MESSAGE("time to interpolate 1e6 values on no-boundary grid: " << duration.count()
<< " milliseconds");
BOOST_CHECK(duration.count() < 25000);
}
}
#endif // NDEBUG
BOOST_AUTO_TEST_CASE(test_get1dIndicesLocal) {
std::vector<int> procs = {3};
CommunicatorType comm = TestHelper::getComm(procs);
if (comm != MPI_COMM_NULL) {
DimType dim = static_cast<DimType>(procs.size());
std::vector<BoundaryType> boundary(dim, 2);
std::vector<BoundaryType> oneboundary(dim, 1);
std::vector<BoundaryType> noboundary(dim, 0);
LevelVector fullGridLevel = {3};
std::vector<IndexVector> decomposition = {{0, 4, 6}};
OwningDistributedFullGrid<real> dfg(dim, fullGridLevel, comm, boundary, procs, true,
decomposition);
OwningDistributedFullGrid<real> dfgOneBoundary(dim, fullGridLevel, comm, oneboundary, procs,
true, decomposition);
OwningDistributedFullGrid<real> dfgNoBoundary(dim, fullGridLevel, comm, noboundary, procs, true,
decomposition);
IndexVector indices;
IndexVector expected;
dfg.get1dIndicesLocal(0, 3, indices);
auto rank = dfg.getRank();
if (rank == 0) {
expected = {1, 3};
} else if (rank == 1 || rank == 2) {
expected = {1};
}
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(), expected.end());
indices.clear();
dfg.get1dIndicesLocal(0, 2, indices);
if (rank == 0) {
expected = {2};
} else if (rank == 1) {
expected = {};
} else if (rank == 2) {
expected = {0};
}
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(), expected.end());
indices.clear();
dfg.get1dIndicesLocal(0, 1, indices);
if (rank == 0) {
expected = {0};
} else if (rank == 1) {
expected = {0};
} else if (rank == 2) {
expected = {2};
}
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(), expected.end());
indices.clear();
dfgOneBoundary.get1dIndicesLocal(0, 3, indices);
if (rank == 0) {
expected = {1, 3};
} else if (rank == 1 || rank == 2) {
expected = {1};
}
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(), expected.end());
indices.clear();
dfgOneBoundary.get1dIndicesLocal(0, 2, indices);
if (rank == 0) {
expected = {2};
} else if (rank == 1) {
expected = {};
} else if (rank == 2) {
expected = {0};
}
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(), expected.end());
indices.clear();
dfgOneBoundary.get1dIndicesLocal(0, 1, indices);
if (rank == 0) {
expected = {0};
} else if (rank == 1) {
expected = {0};
} else if (rank == 2) {
expected = {};
}
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(), expected.end());
indices.clear();
dfgNoBoundary.get1dIndicesLocal(0, 3, indices);
if (rank == 0) {
expected = {0, 2};
} else if (rank == 1 || rank == 2) {
expected = {0};
}
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(), expected.end());
indices.clear();
dfgNoBoundary.get1dIndicesLocal(0, 2, indices);
if (rank == 0) {
expected = {1};
} else if (rank == 1) {
expected = {1};
} else if (rank == 2) {
expected = {};
}
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(), expected.end());
indices.clear();
dfgNoBoundary.get1dIndicesLocal(0, 1, indices);
if (rank == 0) {
expected = {3};
} else if (rank == 1) {
expected = {};
} else if (rank == 2) {
expected = {};
}
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(), expected.end());
}
}
BOOST_AUTO_TEST_CASE(test_get1dIndicesLocal_boundary_firstdim) {
std::vector<int> procs = {5, 1, 1, 1, 1, 1};
CommunicatorType comm = TestHelper::getComm(procs);
if (comm != MPI_COMM_NULL) {
DimType dim = static_cast<DimType>(procs.size());
LevelVector fullGridLevel = {19, 2, 2, 2, 2, 2};
std::vector<IndexVector> decomposition = {
{0, 98304, 196609, 327680, 425985}, {0}, {0}, {0}, {0}, {0}};
std::vector<BoundaryType> boundary(dim, 2);
OwningDistributedFullGrid<real> dfg(dim, fullGridLevel, comm, boundary, procs, true,
decomposition);
LevelVector level = {6, 5, 4, 3, 2, 1}; //{18, 1, 2, 3, 4, 5},
for (DimType d = 0; d < dim; ++d) {
IndexVector indices;
dfg.get1dIndicesLocal(d, level[d], indices);
auto rank = dfg.getRank();
if (rank == 0 && d == 0) {
IndexVector expected = {8192, 24576, 40960, 57344, 73728, 90112};
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(),
expected.end());
} else if (rank == 1 && d == 0) {
IndexVector expected = {8192, 24576, 40960, 57344, 73728, 90112};
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(),
expected.end());
} else if (rank == 2 && d == 0) {
IndexVector expected = {8191, 24575, 40959, 57343, 73727, 90111, 106495, 122879};
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(),
expected.end());
} else if (rank == 3 && d == 0) {
IndexVector expected = {8192, 24576, 40960, 57344, 73728, 90112};
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(),
expected.end());
} else if (rank == 4 && d == 0) {
IndexVector expected = {8191, 24575, 40959, 57343, 73727, 90111};
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(),
expected.end());
} else if (d == 4) {
IndexVector expected = {1, 3};
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(),
expected.end());
} else if (d == 5) {
IndexVector expected = {0, 2, 4};
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(),
expected.end());
} else {
BOOST_CHECK(indices.empty());
}
}
}
}
BOOST_AUTO_TEST_CASE(test_get1dIndicesLocal_boundary_threedim) {
std::vector<int> procs = {1, 2, 1, 2, 1, 2};
CommunicatorType comm = TestHelper::getComm(procs);
if (comm != MPI_COMM_NULL) {
DimType dim = static_cast<DimType>(procs.size());
LevelVector fullGridLevel = {2, 3, 4, 5, 6, 7};
std::vector<IndexVector> decomposition = {{0}, {0, 3}, {0}, {0, 17}, {0}, {0, 63}};
std::vector<BoundaryType> boundary(dim, 2);
OwningDistributedFullGrid<real> dfg(dim, fullGridLevel, comm, boundary, procs, true,
decomposition);
LevelVector level = {5, 3, 4, 5, 2, 5}; //{18, 1, 2, 3, 4, 5},
for (DimType d = 0; d < dim; ++d) {
IndexVector indices;
dfg.get1dIndicesLocal(d, level[d], indices);
auto rank = dfg.getRank();
if (d == 0) {
BOOST_CHECK(indices.empty());
} else if (d == 1) {
if (rank < 4) {
IndexVector expected = {1};
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(),
expected.end());
} else {
IndexVector expected = {0, 2, 4};
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(),
expected.end());
}
} else if (d == 2) {
IndexVector expected = {1, 3, 5, 7, 9, 11, 13, 15};
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(),
expected.end());
} else if (d == 3) {
if ((rank / 2) % 2 == 0) {
IndexVector expected = {1, 3, 5, 7, 9, 11, 13, 15};
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(),
expected.end());
} else {
IndexVector expected = {0, 2, 4, 6, 8, 10, 12, 14};
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(),
expected.end());
}
} else if (d == 4) {
IndexVector expected = {16, 48};
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(),
expected.end());
} else if (d == 5) {
if (rank % 2 == 0) {
IndexVector expected = {4, 12, 20, 28, 36, 44, 52, 60};
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(),
expected.end());
} else {
IndexVector expected = {5, 13, 21, 29, 37, 45, 53, 61};
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(),
expected.end());
}
}
}
}
}
BOOST_AUTO_TEST_CASE(test_get1dIndicesLocal_noboundary_firstdim) {
std::vector<int> procs = {5, 1, 1, 1, 1, 1};
CommunicatorType comm = TestHelper::getComm(procs);
if (comm != MPI_COMM_NULL) {
DimType dim = static_cast<DimType>(procs.size());
LevelVector fullGridLevel = {19, 2, 2, 2, 2, 2};
std::vector<IndexVector> decomposition = {
{0, 98304, 196609, 327680, 425985}, {0}, {0}, {0}, {0}, {0}};
std::vector<BoundaryType> boundary(dim, 0);
OwningDistributedFullGrid<real> dfg(dim, fullGridLevel, comm, boundary, procs, true,
decomposition);
LevelVector level = {6, 5, 4, 3, 2, 1};
for (DimType d = 0; d < dim; ++d) {
IndexVector indices;
dfg.get1dIndicesLocal(d, level[d], indices);
auto rank = dfg.getRank();
if (rank == 0 && d == 0) {
IndexVector expected = {8191, 24575, 40959, 57343, 73727, 90111};
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(),
expected.end());
} else if (rank == 1 && d == 0) {
IndexVector expected = {8191, 24575, 40959, 57343, 73727, 90111};
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(),
expected.end());
} else if (rank == 2 && d == 0) {
IndexVector expected = {8190, 24574, 40958, 57342, 73726, 90110, 106494, 122878};
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(),
expected.end());
} else if (rank == 3 && d == 0) {
IndexVector expected = {8191, 24575, 40959, 57343, 73727, 90111};
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(),
expected.end());
} else if (rank == 4 && d == 0) {
IndexVector expected = {8190, 24574, 40958, 57342, 73726, 90110};
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(),
expected.end());
} else if (d == 4) {
IndexVector expected = {0, 2};
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(),
expected.end());
} else if (d == 5) {
IndexVector expected = {1};
BOOST_CHECK_EQUAL_COLLECTIONS(indices.begin(), indices.end(), expected.begin(),
expected.end());
} else {
BOOST_CHECK(indices.empty());
}
}
}
}
BOOST_AUTO_TEST_CASE(test_get1dIndicesLocal_noboundary_threedim) {
std::vector<int> procs = {1, 2, 1, 2, 1, 2};