/usr/include/trilinos/Tpetra_CrsGraph_def.hpp is in libtrilinos-tpetra-dev 12.10.1-3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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// ***********************************************************************
//
// Tpetra: Templated Linear Algebra Services Package
// Copyright (2008) 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 Michael A. Heroux (maherou@sandia.gov)
//
// ************************************************************************
// @HEADER
#ifndef TPETRA_CRSGRAPH_DEF_HPP
#define TPETRA_CRSGRAPH_DEF_HPP
/// \file Tpetra_CrsGraph_def.hpp
/// \brief Definition of the Tpetra::CrsGraph class
///
/// If you want to use Tpetra::CrsGraph, include "Tpetra_CrsGraph.hpp"
/// (a file which CMake generates and installs for you). If you only
/// want the declaration of Tpetra::CrsGraph, include
/// "Tpetra_CrsGraph_decl.hpp".
#include "Tpetra_Details_computeOffsets.hpp"
#include "Tpetra_Details_copyOffsets.hpp"
#include "Tpetra_Details_getGraphDiagOffsets.hpp"
#include "Tpetra_Distributor.hpp"
#include "Teuchos_SerialDenseMatrix.hpp"
#include <algorithm>
#include <limits>
#include <string>
#include <utility>
namespace Tpetra {
namespace Details {
namespace Impl {
template<class LO, class GO, class DT, class OffsetType, class NumEntType>
class ConvertColumnIndicesFromGlobalToLocal {
public:
ConvertColumnIndicesFromGlobalToLocal (const ::Kokkos::View<LO*, DT>& lclColInds,
const ::Kokkos::View<const GO*, DT>& gblColInds,
const ::Kokkos::View<const OffsetType*, DT>& ptr,
const ::Tpetra::Details::LocalMap<LO, GO, DT>& lclColMap,
const ::Kokkos::View<const NumEntType*, DT>& numRowEnt) :
lclColInds_ (lclColInds),
gblColInds_ (gblColInds),
ptr_ (ptr),
lclColMap_ (lclColMap),
numRowEnt_ (numRowEnt)
{}
KOKKOS_FUNCTION void
operator () (const LO& lclRow, OffsetType& curNumBad) const
{
const OffsetType offset = ptr_(lclRow);
// NOTE (mfh 26 Jun 2016) It's always legal to cast the number
// of entries in a row to LO, as long as the row doesn't have
// too many duplicate entries.
const LO numEnt = static_cast<LO> (numRowEnt_(lclRow));
for (LO j = 0; j < numEnt; ++j) {
const GO gid = gblColInds_(offset + j);
const LO lid = lclColMap_.getLocalElement (gid);
lclColInds_(offset + j) = lid;
if (lid == ::Tpetra::Details::OrdinalTraits<LO>::invalid ()) {
++curNumBad;
}
}
}
static OffsetType
run (const ::Kokkos::View<LO*, DT>& lclColInds,
const ::Kokkos::View<const GO*, DT>& gblColInds,
const ::Kokkos::View<const OffsetType*, DT>& ptr,
const ::Tpetra::Details::LocalMap<LO, GO, DT>& lclColMap,
const ::Kokkos::View<const NumEntType*, DT>& numRowEnt)
{
typedef ::Kokkos::RangePolicy<typename DT::execution_space, LO> range_type;
typedef ConvertColumnIndicesFromGlobalToLocal<LO, GO, DT, OffsetType, NumEntType> functor_type;
const LO lclNumRows = ptr.dimension_0 () == 0 ?
static_cast<LO> (0) : static_cast<LO> (ptr.dimension_0 () - 1);
OffsetType numBad = 0;
// Count of "bad" column indices is a reduction over rows.
::Kokkos::parallel_reduce (range_type (0, lclNumRows),
functor_type (lclColInds, gblColInds, ptr,
lclColMap, numRowEnt),
numBad);
return numBad;
}
private:
::Kokkos::View<LO*, DT> lclColInds_;
::Kokkos::View<const GO*, DT> gblColInds_;
::Kokkos::View<const OffsetType*, DT> ptr_;
::Tpetra::Details::LocalMap<LO, GO, DT> lclColMap_;
::Kokkos::View<const NumEntType*, DT> numRowEnt_;
};
} // namespace Impl
/// \brief Convert a (StaticProfile) CrsGraph's global column
/// indices into local column indices.
///
/// \param lclColInds [out] On output: The graph's local column
/// indices. This may alias gblColInds, if LO == GO.
/// \param gblColInds [in] On input: The graph's global column
/// indices. This may alias lclColInds, if LO == GO.
/// \param ptr [in] The graph's row offsets.
/// \param lclColMap [in] "Local" (threaded-kernel-worthy) version
/// of the column Map.
/// \param numRowEnt [in] Array with number of entries in each row.
///
/// \return the number of "bad" global column indices (that don't
/// live in the column Map on the calling process).
template<class LO, class GO, class DT, class OffsetType, class NumEntType>
OffsetType
convertColumnIndicesFromGlobalToLocal (const Kokkos::View<LO*, DT>& lclColInds,
const Kokkos::View<const GO*, DT>& gblColInds,
const Kokkos::View<const OffsetType*, DT>& ptr,
const LocalMap<LO, GO, DT>& lclColMap,
const Kokkos::View<const NumEntType*, DT>& numRowEnt)
{
using Impl::ConvertColumnIndicesFromGlobalToLocal;
typedef ConvertColumnIndicesFromGlobalToLocal<LO, GO, DT, OffsetType, NumEntType> impl_type;
return impl_type::run (lclColInds, gblColInds, ptr, lclColMap, numRowEnt);
}
} // namespace Details
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
CrsGraph (const Teuchos::RCP<const map_type>& rowMap,
size_t maxNumEntriesPerRow,
ProfileType pftype,
const Teuchos::RCP<Teuchos::ParameterList>& params) :
dist_object_type (rowMap)
, rowMap_ (rowMap)
, nodeNumEntries_ (0)
, nodeNumAllocated_ (Teuchos::OrdinalTraits<size_t>::invalid ())
, pftype_ (pftype)
, numAllocForAllRows_ (maxNumEntriesPerRow)
, storageStatus_ (pftype == StaticProfile ?
Details::STORAGE_1D_UNPACKED :
Details::STORAGE_2D)
, indicesAreAllocated_ (false)
, indicesAreLocal_ (false)
, indicesAreGlobal_ (false)
, fillComplete_ (false)
, indicesAreSorted_ (true)
, noRedundancies_ (true)
, haveLocalConstants_ (false)
, haveGlobalConstants_ (false)
, sortGhostsAssociatedWithEachProcessor_ (true)
{
const char tfecfFuncName[] = "CrsGraph(rowMap,maxNumEntriesPerRow,"
"pftype,params): ";
staticAssertions ();
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
maxNumEntriesPerRow == Teuchos::OrdinalTraits<size_t>::invalid (),
std::invalid_argument, "The allocation hint maxNumEntriesPerRow must be "
"a valid size_t value, which in this case means it must not be "
"Teuchos::OrdinalTraits<size_t>::invalid().");
resumeFill (params);
checkInternalState ();
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
CrsGraph (const Teuchos::RCP<const map_type>& rowMap,
const Teuchos::RCP<const map_type>& colMap,
const size_t maxNumEntriesPerRow,
const ProfileType pftype,
const Teuchos::RCP<Teuchos::ParameterList>& params) :
dist_object_type (rowMap)
, rowMap_ (rowMap)
, colMap_ (colMap)
, nodeNumEntries_ (0)
, nodeNumAllocated_ (Teuchos::OrdinalTraits<size_t>::invalid ())
, pftype_ (pftype)
, numAllocForAllRows_ (maxNumEntriesPerRow)
, storageStatus_ (pftype == StaticProfile ?
Details::STORAGE_1D_UNPACKED :
Details::STORAGE_2D)
, indicesAreAllocated_ (false)
, indicesAreLocal_ (false)
, indicesAreGlobal_ (false)
, fillComplete_ (false)
, indicesAreSorted_ (true)
, noRedundancies_ (true)
, haveLocalConstants_ (false)
, haveGlobalConstants_ (false)
, sortGhostsAssociatedWithEachProcessor_ (true)
{
const char tfecfFuncName[] = "CrsGraph(rowMap,colMap,maxNumEntriesPerRow,"
"pftype,params): ";
staticAssertions ();
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
maxNumEntriesPerRow == Teuchos::OrdinalTraits<size_t>::invalid (),
std::invalid_argument, "The allocation hint maxNumEntriesPerRow must be "
"a valid size_t value, which in this case means it must not be "
"Teuchos::OrdinalTraits<size_t>::invalid().");
resumeFill (params);
checkInternalState ();
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
CrsGraph (const Teuchos::RCP<const map_type>& rowMap,
const Teuchos::ArrayRCP<const size_t>& numEntPerRow,
const ProfileType pftype,
const Teuchos::RCP<Teuchos::ParameterList>& params) :
dist_object_type (rowMap)
, rowMap_ (rowMap)
, nodeNumEntries_ (0)
, nodeNumAllocated_ (Teuchos::OrdinalTraits<size_t>::invalid ())
, pftype_ (pftype)
, numAllocForAllRows_ (0)
, storageStatus_ (pftype == StaticProfile ?
Details::STORAGE_1D_UNPACKED :
Details::STORAGE_2D)
, indicesAreAllocated_ (false)
, indicesAreLocal_ (false)
, indicesAreGlobal_ (false)
, fillComplete_ (false)
, indicesAreSorted_ (true)
, noRedundancies_ (true)
, haveLocalConstants_ (false)
, haveGlobalConstants_ (false)
, sortGhostsAssociatedWithEachProcessor_ (true)
{
const char tfecfFuncName[] = "CrsGraph(rowMap,numEntPerRow,pftype,params): ";
staticAssertions ();
const size_t lclNumRows = rowMap.is_null () ?
static_cast<size_t> (0) : rowMap->getNodeNumElements ();
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
static_cast<size_t> (numEntPerRow.size ()) != lclNumRows,
std::invalid_argument, "numEntPerRow has length " << numEntPerRow.size ()
<< " != the local number of rows " << lclNumRows << " as specified by "
"the input row Map.");
#ifdef HAVE_TPETRA_DEBUG
for (size_t r = 0; r < lclNumRows; ++r) {
const size_t curRowCount = numEntPerRow[r];
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
curRowCount == Teuchos::OrdinalTraits<size_t>::invalid (),
std::invalid_argument, "numEntPerRow(" << r << ") specifies an invalid "
"number of entries (Teuchos::OrdinalTraits<size_t>::invalid()).");
}
#endif // HAVE_TPETRA_DEBUG
// Deep-copy the input (ArrayRCP, therefore host accessible) into
// k_numAllocPerRow_. The latter is a const View, so we have to
// copy into a nonconst View first, then assign.
typedef decltype (k_numAllocPerRow_) out_view_type;
typedef typename out_view_type::non_const_type nc_view_type;
typedef Kokkos::View<const size_t*,
typename nc_view_type::array_layout,
Kokkos::HostSpace,
Kokkos::MemoryUnmanaged> in_view_type;
in_view_type numAllocPerRowIn (numEntPerRow.getRawPtr (), lclNumRows);
nc_view_type numAllocPerRowOut ("Tpetra::CrsGraph::numAllocPerRow",
lclNumRows);
Kokkos::deep_copy (numAllocPerRowOut, numAllocPerRowIn);
k_numAllocPerRow_ = numAllocPerRowOut;
resumeFill (params);
checkInternalState ();
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
CrsGraph (const Teuchos::RCP<const map_type>& rowMap,
const Kokkos::DualView<const size_t*, execution_space>& numEntPerRow,
const ProfileType pftype,
const Teuchos::RCP<Teuchos::ParameterList>& params) :
dist_object_type (rowMap)
, rowMap_ (rowMap)
, nodeNumEntries_ (0)
, nodeNumAllocated_ (Teuchos::OrdinalTraits<size_t>::invalid ())
, pftype_ (pftype)
, k_numAllocPerRow_ (numEntPerRow.h_view)
, numAllocForAllRows_ (0)
, storageStatus_ (pftype == StaticProfile ?
Details::STORAGE_1D_UNPACKED :
Details::STORAGE_2D)
, indicesAreAllocated_ (false)
, indicesAreLocal_ (false)
, indicesAreGlobal_ (false)
, fillComplete_ (false)
, indicesAreSorted_ (true)
, noRedundancies_ (true)
, haveLocalConstants_ (false)
, haveGlobalConstants_ (false)
, sortGhostsAssociatedWithEachProcessor_ (true)
{
const char tfecfFuncName[] = "CrsGraph(rowMap,numEntPerRow,pftype,params): ";
staticAssertions ();
const size_t lclNumRows = rowMap.is_null () ?
static_cast<size_t> (0) : rowMap->getNodeNumElements ();
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
static_cast<size_t> (numEntPerRow.dimension_0 ()) != lclNumRows,
std::invalid_argument, "numEntPerRow has length " <<
numEntPerRow.dimension_0 () << " != the local number of rows " <<
lclNumRows << " as specified by " "the input row Map.");
#ifdef HAVE_TPETRA_DEBUG
for (size_t r = 0; r < lclNumRows; ++r) {
const size_t curRowCount = numEntPerRow.h_view(r);
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
curRowCount == Teuchos::OrdinalTraits<size_t>::invalid (),
std::invalid_argument, "numEntPerRow(" << r << ") specifies an invalid "
"number of entries (Teuchos::OrdinalTraits<size_t>::invalid()).");
}
#endif // HAVE_TPETRA_DEBUG
resumeFill (params);
checkInternalState ();
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
CrsGraph (const Teuchos::RCP<const map_type>& rowMap,
const Teuchos::RCP<const map_type>& colMap,
const Kokkos::DualView<const size_t*, execution_space>& numEntPerRow,
const ProfileType pftype,
const Teuchos::RCP<Teuchos::ParameterList>& params) :
dist_object_type (rowMap)
, rowMap_ (rowMap)
, colMap_ (colMap)
, nodeNumEntries_ (0)
, nodeNumAllocated_ (Teuchos::OrdinalTraits<size_t>::invalid ())
, pftype_ (pftype)
, k_numAllocPerRow_ (numEntPerRow.h_view)
, numAllocForAllRows_ (0)
, storageStatus_ (pftype == StaticProfile ?
Details::STORAGE_1D_UNPACKED :
Details::STORAGE_2D)
, indicesAreAllocated_ (false)
, indicesAreLocal_ (false)
, indicesAreGlobal_ (false)
, fillComplete_ (false)
, indicesAreSorted_ (true)
, noRedundancies_ (true)
, haveLocalConstants_ (false)
, haveGlobalConstants_ (false)
, sortGhostsAssociatedWithEachProcessor_ (true)
{
const char tfecfFuncName[] = "CrsGraph(rowMap,colMap,numEntPerRow,pftype,params): ";
staticAssertions ();
const size_t lclNumRows = rowMap.is_null () ?
static_cast<size_t> (0) : rowMap->getNodeNumElements ();
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
static_cast<size_t> (numEntPerRow.dimension_0 ()) != lclNumRows,
std::invalid_argument, "numEntPerRow has length " <<
numEntPerRow.dimension_0 () << " != the local number of rows " <<
lclNumRows << " as specified by " "the input row Map.");
#ifdef HAVE_TPETRA_DEBUG
for (size_t r = 0; r < lclNumRows; ++r) {
const size_t curRowCount = numEntPerRow.h_view(r);
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
curRowCount == Teuchos::OrdinalTraits<size_t>::invalid (),
std::invalid_argument, "numEntPerRow(" << r << ") specifies an invalid "
"number of entries (Teuchos::OrdinalTraits<size_t>::invalid()).");
}
#endif // HAVE_TPETRA_DEBUG
resumeFill (params);
checkInternalState ();
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
CrsGraph (const Teuchos::RCP<const map_type>& rowMap,
const Teuchos::RCP<const map_type>& colMap,
const Teuchos::ArrayRCP<const size_t>& numEntPerRow,
ProfileType pftype,
const Teuchos::RCP<Teuchos::ParameterList>& params) :
dist_object_type (rowMap)
, rowMap_ (rowMap)
, colMap_ (colMap)
, nodeNumEntries_ (0)
, nodeNumAllocated_ (Teuchos::OrdinalTraits<size_t>::invalid ())
, pftype_ (pftype)
, numAllocForAllRows_ (0)
, storageStatus_ (pftype == StaticProfile ?
Details::STORAGE_1D_UNPACKED :
Details::STORAGE_2D)
, indicesAreAllocated_ (false)
, indicesAreLocal_ (false)
, indicesAreGlobal_ (false)
, fillComplete_ (false)
, indicesAreSorted_ (true)
, noRedundancies_ (true)
, haveLocalConstants_ (false)
, haveGlobalConstants_ (false)
, sortGhostsAssociatedWithEachProcessor_ (true)
{
const char tfecfFuncName[] = "CrsGraph(rowMap,colMap,numEntPerRow,pftype,"
"params): ";
staticAssertions ();
const size_t lclNumRows = rowMap.is_null () ?
static_cast<size_t> (0) : rowMap->getNodeNumElements ();
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
static_cast<size_t> (numEntPerRow.size ()) != lclNumRows,
std::invalid_argument, "numEntPerRow has length " << numEntPerRow.size ()
<< " != the local number of rows " << lclNumRows << " as specified by "
"the input row Map.");
#ifdef HAVE_TPETRA_DEBUG
for (size_t r = 0; r < lclNumRows; ++r) {
const size_t curRowCount = numEntPerRow[r];
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
curRowCount == Teuchos::OrdinalTraits<size_t>::invalid (),
std::invalid_argument, "numEntPerRow(" << r << ") specifies an invalid "
"number of entries (Teuchos::OrdinalTraits<size_t>::invalid()).");
}
#endif // HAVE_TPETRA_DEBUG
// Deep-copy the input (ArrayRCP, therefore host accessible) into
// k_numAllocPerRow_. The latter is a const View, so we have to
// copy into a nonconst View first, then assign.
typedef decltype (k_numAllocPerRow_) out_view_type;
typedef typename out_view_type::non_const_type nc_view_type;
typedef Kokkos::View<const size_t*,
typename nc_view_type::array_layout,
Kokkos::HostSpace,
Kokkos::MemoryUnmanaged> in_view_type;
in_view_type numAllocPerRowIn (numEntPerRow.getRawPtr (), lclNumRows);
nc_view_type numAllocPerRowOut ("Tpetra::CrsGraph::numAllocPerRow",
lclNumRows);
Kokkos::deep_copy (numAllocPerRowOut, numAllocPerRowIn);
k_numAllocPerRow_ = numAllocPerRowOut;
resumeFill (params);
checkInternalState ();
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
CrsGraph (const Teuchos::RCP<const map_type>& rowMap,
const Teuchos::RCP<const map_type>& colMap,
const typename local_graph_type::row_map_type& rowPointers,
const typename local_graph_type::entries_type::non_const_type& columnIndices,
const Teuchos::RCP<Teuchos::ParameterList>& params) :
dist_object_type (rowMap)
, rowMap_(rowMap)
, colMap_(colMap)
, globalNumEntries_ (Teuchos::OrdinalTraits<global_size_t>::invalid ())
, globalNumDiags_ (Teuchos::OrdinalTraits<global_size_t>::invalid ())
, globalMaxNumRowEntries_ (Teuchos::OrdinalTraits<global_size_t>::invalid ())
, nodeNumEntries_(0)
, nodeNumAllocated_(Teuchos::OrdinalTraits<size_t>::invalid())
, pftype_(StaticProfile)
, numAllocForAllRows_(0)
, storageStatus_ (Details::STORAGE_1D_PACKED)
, indicesAreAllocated_(true)
, indicesAreLocal_(true)
, indicesAreGlobal_(false)
, fillComplete_(false)
, indicesAreSorted_(true)
, noRedundancies_(true)
, haveLocalConstants_ (false)
, haveGlobalConstants_ (false)
, sortGhostsAssociatedWithEachProcessor_(true)
{
staticAssertions ();
setAllIndices (rowPointers, columnIndices);
checkInternalState ();
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
CrsGraph (const Teuchos::RCP<const map_type>& rowMap,
const Teuchos::RCP<const map_type>& colMap,
const Teuchos::ArrayRCP<size_t>& rowPointers,
const Teuchos::ArrayRCP<LocalOrdinal> & columnIndices,
const Teuchos::RCP<Teuchos::ParameterList>& params) :
dist_object_type (rowMap)
, rowMap_ (rowMap)
, colMap_ (colMap)
, globalNumEntries_ (Teuchos::OrdinalTraits<global_size_t>::invalid ())
, globalNumDiags_ (Teuchos::OrdinalTraits<global_size_t>::invalid ())
, globalMaxNumRowEntries_ (Teuchos::OrdinalTraits<global_size_t>::invalid ())
, nodeNumEntries_ (0)
, nodeNumAllocated_ (Teuchos::OrdinalTraits<size_t>::invalid ())
, pftype_ (StaticProfile)
, numAllocForAllRows_ (0)
, storageStatus_ (Details::STORAGE_1D_PACKED)
, indicesAreAllocated_ (true)
, indicesAreLocal_ (true)
, indicesAreGlobal_ (false)
, fillComplete_ (false)
, indicesAreSorted_ (true)
, noRedundancies_ (true)
, haveLocalConstants_ (false)
, haveGlobalConstants_ (false)
, sortGhostsAssociatedWithEachProcessor_ (true)
{
staticAssertions ();
setAllIndices (rowPointers, columnIndices);
checkInternalState ();
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
CrsGraph (const Teuchos::RCP<const map_type>& rowMap,
const Teuchos::RCP<const map_type>& colMap,
const local_graph_type& k_local_graph_,
const Teuchos::RCP<Teuchos::ParameterList>& params)
: DistObject<GlobalOrdinal, LocalOrdinal, GlobalOrdinal, node_type> (rowMap)
, rowMap_ (rowMap)
, colMap_ (colMap)
, lclGraph_ (k_local_graph_)
, globalNumEntries_ (Teuchos::OrdinalTraits<global_size_t>::invalid ())
, globalNumDiags_ (Teuchos::OrdinalTraits<global_size_t>::invalid ())
, globalMaxNumRowEntries_ (Teuchos::OrdinalTraits<global_size_t>::invalid ())
, nodeNumEntries_ (0) // FIXME (mfh 17 Mar 2014) should get from lclGraph_ right now
, nodeNumAllocated_ (Teuchos::OrdinalTraits<size_t>::invalid ())
, pftype_ (StaticProfile)
, numAllocForAllRows_ (0)
, storageStatus_ (Details::STORAGE_1D_PACKED)
, indicesAreAllocated_ (true)
, indicesAreLocal_ (true)
, indicesAreGlobal_ (false)
, fillComplete_ (false)
, indicesAreSorted_ (true)
, noRedundancies_ (true)
, haveLocalConstants_ (false)
, haveGlobalConstants_ (false)
, sortGhostsAssociatedWithEachProcessor_(true)
{
using Teuchos::arcp;
using Teuchos::ArrayRCP;
using Teuchos::ParameterList;
using Teuchos::parameterList;
using Teuchos::rcp;
typedef GlobalOrdinal GO;
typedef LocalOrdinal LO;
staticAssertions();
const char tfecfFuncName[] = "CrsGraph(Map,Map,Kokkos::LocalStaticCrsGraph)";
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
colMap.is_null (), std::runtime_error,
": The input column Map must be nonnull.");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
k_local_graph_.numRows () != rowMap->getNodeNumElements (),
std::runtime_error,
": The input row Map and the input local graph need to have the same "
"number of rows. The row Map claims " << rowMap->getNodeNumElements ()
<< " row(s), but the local graph claims " << k_local_graph_.numRows ()
<< " row(s).");
// NOTE (mfh 17 Mar 2014) getNodeNumRows() returns
// rowMap_->getNodeNumElements(), but it doesn't have to.
// TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
// k_local_graph_.numRows () != getNodeNumRows (), std::runtime_error,
// ": The input row Map and the input local graph need to have the same "
// "number of rows. The row Map claims " << getNodeNumRows () << " row(s), "
// "but the local graph claims " << k_local_graph_.numRows () << " row(s).");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
k_lclInds1D_.dimension_0 () != 0 || k_gblInds1D_.dimension_0 () != 0, std::logic_error,
": cannot have 1D data structures allocated.");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
! lclInds2D_.is_null () || ! gblInds2D_.is_null (), std::logic_error,
": cannot have 2D data structures allocated.");
nodeNumAllocated_ = k_local_graph_.row_map (getNodeNumRows ());
nodeNumEntries_ = k_local_graph_.row_map (getNodeNumRows ());
// NOTE (mfh 17 Mar 2014) We also need a version of this CrsGraph
// constructor that takes a domain and range Map, as well as a row
// and column Map. In that case, we must pass the domain and
// range Map into the following method.
setDomainRangeMaps (rowMap_, rowMap_);
makeImportExport ();
k_lclInds1D_ = lclGraph_.entries;
k_rowPtrs_ = lclGraph_.row_map;
typename local_graph_type::row_map_type d_ptrs = lclGraph_.row_map;
typename local_graph_type::entries_type d_inds = lclGraph_.entries;
// Reset local properties
upperTriangular_ = true;
lowerTriangular_ = true;
nodeMaxNumRowEntries_ = 0;
nodeNumDiags_ = 0;
// Compute triangular properties
const size_t numLocalRows = getNodeNumRows ();
for (size_t localRow = 0; localRow < numLocalRows; ++localRow) {
const GO globalRow = rowMap_->getGlobalElement (localRow);
const LO rlcid = colMap_->getLocalElement (globalRow);
// It's entirely possible that the local matrix has no entries
// in the column corresponding to the current row. In that
// case, the column Map may not necessarily contain that GID.
// This is why we check whether rlcid is "invalid" (which means
// that globalRow is not a GID in the column Map).
if (rlcid != Teuchos::OrdinalTraits<LO>::invalid ()) {
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
rlcid + 1 >= static_cast<LO> (d_ptrs.dimension_0 ()),
std::runtime_error, ": The given row Map and/or column Map is/are "
"not compatible with the provided local graph.");
if (d_ptrs(rlcid) != d_ptrs(rlcid + 1)) {
const size_t smallestCol =
static_cast<size_t> (d_inds(d_ptrs(rlcid)));
const size_t largestCol =
static_cast<size_t> (d_inds(d_ptrs(rlcid + 1)-1));
if (smallestCol < localRow) {
upperTriangular_ = false;
}
if (localRow < largestCol) {
lowerTriangular_ = false;
}
for (size_t i = d_ptrs(rlcid); i < d_ptrs(rlcid + 1); ++i) {
if (d_inds(i) == rlcid) {
++nodeNumDiags_;
}
}
}
nodeMaxNumRowEntries_ =
std::max (static_cast<size_t> (d_ptrs(rlcid + 1) - d_ptrs(rlcid)),
nodeMaxNumRowEntries_);
}
}
haveLocalConstants_ = true;
computeGlobalConstants ();
fillComplete_ = true;
checkInternalState ();
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
~CrsGraph ()
{}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
Teuchos::RCP<const Teuchos::ParameterList>
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getValidParameters () const
{
using Teuchos::RCP;
using Teuchos::ParameterList;
using Teuchos::parameterList;
RCP<ParameterList> params = parameterList ("Tpetra::CrsGraph");
// Make a sublist for the Import.
RCP<ParameterList> importSublist = parameterList ("Import");
// FIXME (mfh 02 Apr 2012) We should really have the Import and
// Export objects fill in these lists. However, we don't want to
// create an Import or Export unless we need them. For now, we
// know that the Import and Export just pass the list directly to
// their Distributor, so we can create a Distributor here
// (Distributor's constructor is a lightweight operation) and have
// it fill in the list.
// Fill in Distributor default parameters by creating a
// Distributor and asking it to do the work.
Distributor distributor (rowMap_->getComm (), importSublist);
params->set ("Import", *importSublist, "How the Import performs communication.");
// Make a sublist for the Export. For now, it's a clone of the
// Import sublist. It's not a shallow copy, though, since we
// might like the Import to do communication differently than the
// Export.
params->set ("Export", *importSublist, "How the Export performs communication.");
return params;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
setParameterList (const Teuchos::RCP<Teuchos::ParameterList>& params)
{
Teuchos::RCP<const Teuchos::ParameterList> validParams =
getValidParameters ();
params->validateParametersAndSetDefaults (*validParams);
this->setMyParamList (params);
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
global_size_t
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getGlobalNumRows () const
{
return rowMap_->getGlobalNumElements ();
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
global_size_t
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getGlobalNumCols () const
{
const char tfecfFuncName[] = "getGlobalNumCols: ";
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
! isFillComplete () || getDomainMap ().is_null (), std::runtime_error,
"The graph does not have a domain Map. You may not call this method in "
"that case.");
return getDomainMap ()->getGlobalNumElements ();
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
size_t
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getNodeNumRows () const
{
return rowMap_.is_null () ? static_cast<size_t> (0) :
rowMap_->getNodeNumElements ();
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
size_t
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getNodeNumCols () const
{
const char tfecfFuncName[] = "getNodeNumCols: ";
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
! hasColMap (), std::runtime_error,
"The graph does not have a column Map. You may not call this method "
"unless the graph has a column Map. This requires either that a custom "
"column Map was given to the constructor, or that fillComplete() has "
"been called.");
return colMap_.is_null () ? static_cast<size_t> (0) :
colMap_->getNodeNumElements ();
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
size_t
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getNodeNumDiags () const
{
return nodeNumDiags_;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
global_size_t
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getGlobalNumDiags () const
{
return globalNumDiags_;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
Teuchos::RCP<Node>
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getNode () const
{
return rowMap_.is_null () ? Teuchos::null : rowMap_->getNode ();
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
Teuchos::RCP<const Map<LocalOrdinal, GlobalOrdinal, Node> >
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getRowMap () const
{
return rowMap_;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
Teuchos::RCP<const Map<LocalOrdinal, GlobalOrdinal, Node> >
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getColMap () const
{
return colMap_;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
Teuchos::RCP<const Map<LocalOrdinal, GlobalOrdinal, Node> >
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getDomainMap () const
{
return domainMap_;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
Teuchos::RCP<const Map<LocalOrdinal, GlobalOrdinal, Node> >
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getRangeMap () const
{
return rangeMap_;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
Teuchos::RCP<const Import<LocalOrdinal, GlobalOrdinal, Node> >
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getImporter () const
{
return importer_;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
Teuchos::RCP<const Export<LocalOrdinal, GlobalOrdinal, Node> >
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getExporter () const
{
return exporter_;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
bool
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
hasColMap () const
{
return ! colMap_.is_null ();
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
bool
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
isStorageOptimized () const
{
// FIXME (mfh 07 Aug 2014) Why wouldn't storage be optimized if
// getNodeNumRows() is zero?
const bool isOpt = indicesAreAllocated_ &&
k_numRowEntries_.dimension_0 () == 0 &&
getNodeNumRows () > 0;
#ifdef HAVE_TPETRA_DEBUG
const char tfecfFuncName[] = "isStorageOptimized";
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
isOpt && getProfileType () == DynamicProfile, std::logic_error,
": The matrix claims to have optimized storage, but getProfileType() "
"returns DynamicProfile. This should never happen. Please report this "
"bug to the Tpetra developers.");
#endif // HAVE_TPETRA_DEBUG
return isOpt;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
ProfileType
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getProfileType () const
{
return pftype_;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
global_size_t
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getGlobalNumEntries () const
{
return globalNumEntries_;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
size_t
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getNodeNumEntries () const
{
return nodeNumEntries_;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
global_size_t
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getGlobalMaxNumRowEntries () const
{
return globalMaxNumRowEntries_;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
size_t
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getNodeMaxNumRowEntries () const
{
return nodeMaxNumRowEntries_;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
bool
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
isFillComplete () const
{
return fillComplete_;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
bool
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
isFillActive () const
{
return ! fillComplete_;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
bool
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
isUpperTriangular () const
{
return upperTriangular_;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
bool
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
isLowerTriangular () const
{
return lowerTriangular_;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
bool
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
isLocallyIndexed () const
{
return indicesAreLocal_;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
bool
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
isGloballyIndexed () const
{
return indicesAreGlobal_;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
size_t
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getNodeAllocationSize () const
{
return nodeNumAllocated_;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
Teuchos::RCP<const Teuchos::Comm<int> >
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getComm () const
{
return rowMap_.is_null () ? Teuchos::null : rowMap_->getComm ();
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
GlobalOrdinal
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getIndexBase () const
{
return rowMap_->getIndexBase ();
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
bool
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
indicesAreAllocated () const
{
return indicesAreAllocated_;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
bool
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
isSorted () const
{
return indicesAreSorted_;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
bool
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
isMerged () const
{
return noRedundancies_;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
setLocallyModified ()
{
// FIXME (mfh 07 May 2013) How do we know that the change
// introduced a redundancy, or even that it invalidated the sorted
// order of indices? CrsGraph has always made this conservative
// guess. It could be a bit costly to check at insertion time,
// though.
indicesAreSorted_ = false;
noRedundancies_ = false;
// We've modified the graph, so we'll have to recompute local
// constants like the number of diagonal entries on this process.
haveLocalConstants_ = false;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
allocateIndices (const ELocalGlobal lg)
{
using Teuchos::arcp;
using Teuchos::Array;
using Teuchos::ArrayRCP;
typedef Teuchos::ArrayRCP<size_t>::size_type size_type;
typedef typename local_graph_type::row_map_type::non_const_type
non_const_row_map_type;
typedef typename local_graph_type::entries_type::non_const_type
lcl_col_inds_type;
typedef Kokkos::View<GlobalOrdinal*,
typename lcl_col_inds_type::array_layout,
device_type> gbl_col_inds_type;
const char tfecfFuncName[] = "allocateIndices: ";
// This is a protected function, only callable by us. If it was
// called incorrectly, it is our fault. That's why the tests
// below throw std::logic_error instead of std::invalid_argument.
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
isLocallyIndexed () && lg == GlobalIndices, std::logic_error,
"The graph is locally indexed, but Tpetra code is calling this method "
"with lg=GlobalIndices. Please report this bug to the Tpetra developers.");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
isGloballyIndexed () && lg == LocalIndices, std::logic_error,
"The graph is globally indexed, but Tpetra code is calling this method "
"with lg=LocalIndices. Please report this bug to the Tpetra developers.");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
indicesAreAllocated (), std::logic_error, "The graph's indices are "
"already allocated, but Tpetra code is calling allocateIndices) again. "
"Please report this bug to the Tpetra developers.");
const size_t numRows = getNodeNumRows ();
if (getProfileType () == StaticProfile) {
//
// STATIC ALLOCATION PROFILE
//
non_const_row_map_type k_rowPtrs ("Tpetra::CrsGraph::ptr", numRows + 1);
if (k_numAllocPerRow_.dimension_0 () != 0) {
// It's OK to throw std::invalid_argument here, because we
// haven't incurred any side effects yet. Throwing that
// exception (and not, say, std::logic_error) implies that the
// instance can recover.
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
k_numAllocPerRow_.dimension_0 () != numRows, std::invalid_argument,
"k_numAllocPerRow_ is allocated (has length != 0), but its length = "
<< k_numAllocPerRow_.dimension_0 () << " != numRows = " << numRows
<< ".");
// k_numAllocPerRow_ is a host View, but k_rowPtrs (the thing
// we want to compute here) lives on device. That's OK;
// computeOffsetsFromCounts can handle this case.
using ::Tpetra::Details::computeOffsetsFromCounts;
// FIXME (mfh 27 Jun 2016) Currently, computeOffsetsFromCounts
// doesn't attempt to check its input for "invalid" flag
// values. For now, we omit that feature of the sequential
// code disabled below.
computeOffsetsFromCounts (k_rowPtrs, k_numAllocPerRow_);
}
else {
// It's OK to throw std::invalid_argument here, because we
// haven't incurred any side effects yet. Throwing that
// exception (and not, say, std::logic_error) implies that the
// instance can recover.
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(numAllocForAllRows_ == Teuchos::OrdinalTraits<size_t>::invalid (),
std::invalid_argument, "numAllocForAllRows_ has an invalid value, "
"namely Teuchos::OrdinalTraits<size_t>::invalid() = " <<
Teuchos::OrdinalTraits<size_t>::invalid () << ".");
using ::Tpetra::Details::computeOffsetsFromConstantCount;
computeOffsetsFromConstantCount (k_rowPtrs, numAllocForAllRows_);
}
// "Commit" the resulting row offsets.
k_rowPtrs_ = k_rowPtrs;
// FIXME (mfh 05,11 Aug 2014) This assumes UVM, since k_rowPtrs_
// is currently a device View. Should instead use a DualView.
const size_type numInds = static_cast<size_type> (k_rowPtrs_(numRows));
if (lg == LocalIndices) {
k_lclInds1D_ = lcl_col_inds_type ("Tpetra::CrsGraph::ind", numInds);
}
else {
k_gblInds1D_ = gbl_col_inds_type ("Tpetra::CrsGraph::ind", numInds);
}
nodeNumAllocated_ = numInds;
storageStatus_ = Details::STORAGE_1D_UNPACKED;
}
else {
//
// DYNAMIC ALLOCATION PROFILE
//
const bool useNumAllocPerRow = (k_numAllocPerRow_.dimension_0 () != 0);
if (lg == LocalIndices) {
lclInds2D_ = arcp<Array<LocalOrdinal> > (numRows);
nodeNumAllocated_ = 0;
for (size_t i = 0; i < numRows; ++i) {
const size_t howMany = useNumAllocPerRow ?
k_numAllocPerRow_(i) : numAllocForAllRows_;
nodeNumAllocated_ += howMany;
if (howMany > 0) {
lclInds2D_[i].resize (howMany);
}
}
}
else { // allocate global indices
gblInds2D_ = arcp<Array<GlobalOrdinal> > (numRows);
nodeNumAllocated_ = 0;
for (size_t i = 0; i < numRows; ++i) {
const size_t howMany = useNumAllocPerRow ?
k_numAllocPerRow_(i) : numAllocForAllRows_;
nodeNumAllocated_ += howMany;
if (howMany > 0) {
gblInds2D_[i].resize (howMany);
}
}
}
storageStatus_ = Details::STORAGE_2D;
}
indicesAreLocal_ = (lg == LocalIndices);
indicesAreGlobal_ = (lg == GlobalIndices);
if (numRows > 0) { // reallocate k_numRowEntries_ & fill w/ 0s
using Kokkos::ViewAllocateWithoutInitializing;
typedef decltype (k_numRowEntries_) row_ent_type;
const char label[] = "Tpetra::CrsGraph::numRowEntries";
row_ent_type numRowEnt (ViewAllocateWithoutInitializing (label), numRows);
Kokkos::deep_copy (numRowEnt, static_cast<size_t> (0)); // fill w/ 0s
k_numRowEntries_ = numRowEnt; // "commit" our allocation
}
// done with these
numAllocForAllRows_ = 0;
k_numAllocPerRow_ = decltype (k_numAllocPerRow_) ();
indicesAreAllocated_ = true;
checkInternalState ();
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
Teuchos::ArrayView<const LocalOrdinal>
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getLocalView (const RowInfo rowinfo) const
{
using Kokkos::subview;
typedef LocalOrdinal LO;
typedef Kokkos::View<const LO*, execution_space,
Kokkos::MemoryUnmanaged> row_view_type;
if (rowinfo.allocSize == 0) {
return Teuchos::ArrayView<const LO> ();
}
else { // nothing in the row to view
if (k_lclInds1D_.dimension_0 () != 0) { // 1-D storage
const size_t start = rowinfo.offset1D;
const size_t len = rowinfo.allocSize;
const std::pair<size_t, size_t> rng (start, start + len);
// mfh 23 Nov 2015: Don't just create a subview of
// k_lclInds1D_ directly, because that first creates a
// _managed_ subview, then returns an unmanaged version of
// that. That touches the reference count, which costs
// performance in a measurable way.
row_view_type rowView = subview (row_view_type (k_lclInds1D_), rng);
const LO* const rowViewRaw = (len == 0) ? NULL : rowView.ptr_on_device ();
return Teuchos::ArrayView<const LO> (rowViewRaw, len, Teuchos::RCP_DISABLE_NODE_LOOKUP);
}
else if (! lclInds2D_[rowinfo.localRow].empty ()) { // 2-D storage
return lclInds2D_[rowinfo.localRow] ();
}
else {
return Teuchos::ArrayView<const LO> (); // nothing in the row to view
}
}
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
LocalOrdinal
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getLocalViewRawConst (const LocalOrdinal*& lclInds,
LocalOrdinal& numEnt,
const RowInfo& rowinfo) const
{
lclInds = NULL;
numEnt = 0;
if (rowinfo.allocSize != 0) {
if (k_lclInds1D_.dimension_0 () != 0) { // 1-D storage
#ifdef HAVE_TPETRA_DEBUG
if (rowinfo.offset1D + rowinfo.allocSize >
static_cast<size_t> (k_lclInds1D_.dimension_0 ())) {
return static_cast<LocalOrdinal> (-1);
}
#endif // HAVE_TPETRA_DEBUG
lclInds = &k_lclInds1D_[rowinfo.offset1D];
numEnt = rowinfo.allocSize;
}
else { // 2-D storage
#ifdef HAVE_TPETRA_DEBUG
if (rowinfo.localRow >= static_cast<size_t> (lclInds2D_.size ())) {
return static_cast<LocalOrdinal> (-1);
}
#endif // HAVE_TPETRA_DEBUG
// Use a const reference so we don't touch the ArrayRCP's ref
// count, since ArrayRCP's ref count is not thread safe.
const auto& curRow = lclInds2D_[rowinfo.localRow];
if (! curRow.empty ()) {
lclInds = curRow.getRawPtr ();
numEnt = curRow.size ();
}
}
}
return static_cast<LocalOrdinal> (0);
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
Teuchos::ArrayView<LocalOrdinal>
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getLocalViewNonConst (const RowInfo rowinfo)
{
using Kokkos::subview;
typedef LocalOrdinal LO;
typedef Kokkos::View<LO*, execution_space,
Kokkos::MemoryUnmanaged> row_view_type;
if (rowinfo.allocSize == 0) { // nothing in the row to view
return Teuchos::ArrayView<LO> ();
}
else {
if (k_lclInds1D_.dimension_0 () != 0) { // 1-D storage
const size_t start = rowinfo.offset1D;
const size_t len = rowinfo.allocSize;
const std::pair<size_t, size_t> rng (start, start + len);
// mfh 23 Nov 2015: Don't just create a subview of
// k_lclInds1D_ directly, because that first creates a
// _managed_ subview, then returns an unmanaged version of
// that. That touches the reference count, which costs
// performance in a measurable way.
row_view_type rowView = subview (row_view_type (k_lclInds1D_), rng);
LO* const rowViewRaw = (len == 0) ? NULL : rowView.ptr_on_device ();
return Teuchos::ArrayView<LO> (rowViewRaw, len, Teuchos::RCP_DISABLE_NODE_LOOKUP);
}
else if (! lclInds2D_[rowinfo.localRow].empty ()) { // 2-D storage
return lclInds2D_[rowinfo.localRow] ();
}
else {
return Teuchos::ArrayView<LO> (); // nothing in the row to view
}
}
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
Kokkos::View<const LocalOrdinal*,
typename CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::execution_space,
Kokkos::MemoryUnmanaged>
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getLocalKokkosRowView (const RowInfo& rowinfo) const
{
typedef LocalOrdinal LO;
typedef Kokkos::View<const LO*, execution_space,
Kokkos::MemoryUnmanaged> row_view_type;
if (rowinfo.allocSize == 0) {
return row_view_type ();
}
else { // nothing in the row to view
if (k_lclInds1D_.dimension_0 () != 0) { // 1-D storage
const size_t start = rowinfo.offset1D;
const size_t len = rowinfo.allocSize;
const std::pair<size_t, size_t> rng (start, start + len);
// mfh 23 Nov 2015: Don't just create a subview of
// k_lclInds1D_ directly, because that first creates a
// _managed_ subview, then returns an unmanaged version of
// that. That touches the reference count, which costs
// performance in a measurable way.
return Kokkos::subview (row_view_type (k_lclInds1D_), rng);
}
else if (! lclInds2D_[rowinfo.localRow].empty ()) { // 2-D storage
// Use a reference, to avoid doing the array lookup twice.
//
// NOTE (mfh 18 Jul 2016) Don't create a Teuchos::ArrayView,
// because this is not thread safe in a debug build.
Teuchos::Array<LocalOrdinal>& lclInds = lclInds2D_[rowinfo.localRow];
const LO* rowPtr = lclInds.getRawPtr ();
const auto rowSize = lclInds.size ();
return row_view_type (rowPtr, rowSize);
}
else {
return row_view_type (); // nothing in the row to view
}
}
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
Kokkos::View<LocalOrdinal*,
typename CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::execution_space,
Kokkos::MemoryUnmanaged>
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getLocalKokkosRowViewNonConst (const RowInfo& rowinfo)
{
typedef LocalOrdinal LO;
typedef Kokkos::View<LO*, execution_space,
Kokkos::MemoryUnmanaged> row_view_type;
if (rowinfo.allocSize == 0) {
return row_view_type ();
}
else { // nothing in the row to view
if (k_lclInds1D_.dimension_0 () != 0) { // 1-D storage
const size_t start = rowinfo.offset1D;
const size_t len = rowinfo.allocSize;
const std::pair<size_t, size_t> rng (start, start + len);
// mfh 23 Nov 2015: Don't just create a subview of
// k_lclInds1D_ directly, because that first creates a
// _managed_ subview, then returns an unmanaged version of
// that. That touches the reference count, which costs
// performance in a measurable way.
return Kokkos::subview (row_view_type (k_lclInds1D_), rng);
}
else if (! lclInds2D_[rowinfo.localRow].empty ()) { // 2-D storage
Teuchos::ArrayView<LO> rowAv = lclInds2D_[rowinfo.localRow] ();
return row_view_type (rowAv.getRawPtr (), rowAv.size ());
}
else {
return row_view_type (); // nothing in the row to view
}
}
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
Kokkos::View<const GlobalOrdinal*,
typename CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::execution_space,
Kokkos::MemoryUnmanaged>
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getGlobalKokkosRowView (const RowInfo& rowinfo) const
{
typedef GlobalOrdinal GO;
typedef Kokkos::View<const GO*, execution_space,
Kokkos::MemoryUnmanaged> row_view_type;
if (rowinfo.allocSize == 0) {
return row_view_type ();
}
else { // nothing in the row to view
if (this->k_gblInds1D_.dimension_0 () != 0) { // 1-D storage
const size_t start = rowinfo.offset1D;
const size_t len = rowinfo.allocSize;
const std::pair<size_t, size_t> rng (start, start + len);
// mfh 23 Nov 2015: Don't just create a subview of
// k_gblInds1D_ directly, because that first creates a
// _managed_ subview, then returns an unmanaged version of
// that. That touches the reference count, which costs
// performance in a measurable way.
return Kokkos::subview (row_view_type (this->k_gblInds1D_), rng);
}
else if (! this->gblInds2D_[rowinfo.localRow].empty ()) { // 2-D storage
Teuchos::ArrayView<const GO> rowAv = this->gblInds2D_[rowinfo.localRow] ();
// FIXME (mfh 26 Nov 2015) This assumes UVM, because it
// assumes that host code can access device memory through
// Teuchos::ArrayView.
return row_view_type (rowAv.getRawPtr (), rowAv.size ());
}
else {
return row_view_type (); // nothing in the row to view
}
}
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
Teuchos::ArrayView<const GlobalOrdinal>
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getGlobalView (const RowInfo rowinfo) const
{
Teuchos::ArrayView<const GlobalOrdinal> view;
if (rowinfo.allocSize > 0) {
if (k_gblInds1D_.dimension_0 () != 0) {
auto rng = std::make_pair (rowinfo.offset1D,
rowinfo.offset1D + rowinfo.allocSize);
// mfh 23 Nov 2015: Don't just create a subview of
// k_gblInds1D_ directly, because that first creates a
// _managed_ subview, then returns an unmanaged version of
// that. That touches the reference count, which costs
// performance in a measurable way.
Kokkos::View<const GlobalOrdinal*, execution_space,
Kokkos::MemoryUnmanaged> k_gblInds1D_unmanaged = k_gblInds1D_;
view = Kokkos::Compat::getConstArrayView (Kokkos::subview (k_gblInds1D_unmanaged, rng));
}
else if (! gblInds2D_[rowinfo.localRow].empty()) {
view = gblInds2D_[rowinfo.localRow] ();
}
}
return view;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
LocalOrdinal
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getGlobalViewRawConst (const GlobalOrdinal*& gblInds,
LocalOrdinal& numEnt,
const RowInfo& rowinfo) const
{
gblInds = NULL;
numEnt = 0;
if (rowinfo.allocSize != 0) {
if (k_gblInds1D_.dimension_0 () != 0) { // 1-D storage
#ifdef HAVE_TPETRA_DEBUG
if (rowinfo.offset1D + rowinfo.allocSize >
static_cast<size_t> (k_gblInds1D_.dimension_0 ())) {
return static_cast<LocalOrdinal> (-1);
}
#endif // HAVE_TPETRA_DEBUG
gblInds = &k_gblInds1D_[rowinfo.offset1D];
numEnt = rowinfo.allocSize;
}
else {
#ifdef HAVE_TPETRA_DEBUG
if (rowinfo.localRow >= static_cast<size_t> (gblInds2D_.size ())) {
return static_cast<LocalOrdinal> (-1);
}
#endif // HAVE_TPETRA_DEBUG
const auto& curRow = gblInds2D_[rowinfo.localRow];
if (! curRow.empty ()) {
gblInds = curRow.getRawPtr ();
numEnt = curRow.size ();
}
}
}
return static_cast<LocalOrdinal> (0);
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
Teuchos::ArrayView<GlobalOrdinal>
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getGlobalViewNonConst (const RowInfo rowinfo)
{
Teuchos::ArrayView<GlobalOrdinal> view;
if (rowinfo.allocSize > 0) {
if (k_gblInds1D_.dimension_0 () != 0) {
auto rng = std::make_pair (rowinfo.offset1D,
rowinfo.offset1D + rowinfo.allocSize);
// mfh 23 Nov 2015: Don't just create a subview of
// k_gblInds1D_ directly, because that first creates a
// _managed_ subview, then returns an unmanaged version of
// that. That touches the reference count, which costs
// performance in a measurable way.
Kokkos::View<GlobalOrdinal*, execution_space,
Kokkos::MemoryUnmanaged> k_gblInds1D_unmanaged = k_gblInds1D_;
view = Kokkos::Compat::getArrayView (Kokkos::subview (k_gblInds1D_unmanaged, rng));
}
else if (! gblInds2D_[rowinfo.localRow].empty()) {
view = gblInds2D_[rowinfo.localRow] ();
}
}
return view;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
RowInfo
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getRowInfo (const LocalOrdinal myRow) const
{
#ifdef HAVE_TPETRA_DEBUG
const char tfecfFuncName[] = "getRowInfo: ";
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
! hasRowInfo (), std::logic_error,
"Late catch! Graph does not have row info anymore. "
"Error should have been caught earlier. "
"Please report this bug to the Tpetra developers.");
#endif // HAVE_TPETRA_DEBUG
const size_t STINV = Teuchos::OrdinalTraits<size_t>::invalid ();
RowInfo ret;
if (! hasRowInfo () || rowMap_.is_null () ||
! rowMap_->isNodeLocalElement (myRow)) {
ret.localRow = STINV;
ret.allocSize = 0;
ret.numEntries = 0;
ret.offset1D = STINV;
return ret;
}
ret.localRow = static_cast<size_t> (myRow);
if (nodeNumAllocated_ != 0 && nodeNumAllocated_ != STINV) {
// graph data structures have the info that we need
//
// if static graph, offsets tell us the allocation size
if (getProfileType() == StaticProfile) {
ret.offset1D = k_rowPtrs_(myRow);
ret.allocSize = k_rowPtrs_(myRow+1) - k_rowPtrs_(myRow);
if (k_numRowEntries_.dimension_0 () == 0) {
ret.numEntries = ret.allocSize;
} else {
ret.numEntries = k_numRowEntries_(myRow);
}
}
else {
ret.offset1D = STINV;
if (isLocallyIndexed ()) {
ret.allocSize = lclInds2D_[myRow].size ();
}
else {
ret.allocSize = gblInds2D_[myRow].size ();
}
ret.numEntries = k_numRowEntries_(myRow);
}
}
else if (nodeNumAllocated_ == 0) {
// have performed allocation, but the graph has no allocation or entries
ret.allocSize = 0;
ret.numEntries = 0;
ret.offset1D = STINV;
}
else if (! indicesAreAllocated ()) {
// haven't performed allocation yet; probably won't hit this code
//
// FIXME (mfh 07 Aug 2014) We want graph's constructors to
// allocate, rather than doing lazy allocation at first insert.
// This will make k_numAllocPerRow_ obsolete.
const bool useNumAllocPerRow = (k_numAllocPerRow_.dimension_0 () != 0);
if (useNumAllocPerRow) {
ret.allocSize = k_numAllocPerRow_(myRow); // this is a host View
} else {
ret.allocSize = numAllocForAllRows_;
}
ret.numEntries = 0;
ret.offset1D = STINV;
}
else {
// don't know how we ended up here...
TEUCHOS_TEST_FOR_EXCEPT(true);
}
return ret;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
RowInfo
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getRowInfoFromGlobalRowIndex (const GlobalOrdinal gblRow) const
{
const size_t STINV = Teuchos::OrdinalTraits<size_t>::invalid ();
RowInfo ret;
if (! this->hasRowInfo () || this->rowMap_.is_null ()) {
ret.localRow = STINV;
ret.allocSize = 0;
ret.numEntries = 0;
ret.offset1D = STINV;
return ret;
}
const LocalOrdinal myRow = this->rowMap_->getLocalElement (gblRow);
if (myRow == Teuchos::OrdinalTraits<LocalOrdinal>::invalid ()) {
ret.localRow = STINV;
ret.allocSize = 0;
ret.numEntries = 0;
ret.offset1D = STINV;
return ret;
}
ret.localRow = static_cast<size_t> (myRow);
if (nodeNumAllocated_ != 0 && nodeNumAllocated_ != STINV) {
// graph data structures have the info that we need
//
// if static graph, offsets tell us the allocation size
if (getProfileType() == StaticProfile) {
ret.offset1D = k_rowPtrs_(myRow);
ret.allocSize = k_rowPtrs_(myRow+1) - k_rowPtrs_(myRow);
if (k_numRowEntries_.dimension_0 () == 0) {
ret.numEntries = ret.allocSize;
} else {
ret.numEntries = k_numRowEntries_(myRow);
}
}
else {
ret.offset1D = STINV;
if (isLocallyIndexed ()) {
ret.allocSize = lclInds2D_[myRow].size ();
}
else {
ret.allocSize = gblInds2D_[myRow].size ();
}
ret.numEntries = k_numRowEntries_(myRow);
}
}
else if (nodeNumAllocated_ == 0) {
// have performed allocation, but the graph has no allocation or entries
ret.allocSize = 0;
ret.numEntries = 0;
ret.offset1D = STINV;
}
else if (! indicesAreAllocated ()) {
// haven't performed allocation yet; probably won't hit this code
//
// FIXME (mfh 07 Aug 2014) We want graph's constructors to
// allocate, rather than doing lazy allocation at first insert.
// This will make k_numAllocPerRow_ obsolete.
const bool useNumAllocPerRow = (k_numAllocPerRow_.dimension_0 () != 0);
if (useNumAllocPerRow) {
ret.allocSize = k_numAllocPerRow_(myRow); // this is a host View
} else {
ret.allocSize = numAllocForAllRows_;
}
ret.numEntries = 0;
ret.offset1D = STINV;
}
else {
// don't know how we ended up here...
TEUCHOS_TEST_FOR_EXCEPT(true);
}
return ret;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
staticAssertions () const
{
using Teuchos::OrdinalTraits;
typedef LocalOrdinal LO;
typedef GlobalOrdinal GO;
typedef global_size_t GST;
// Assumption: sizeof(GlobalOrdinal) >= sizeof(LocalOrdinal):
// This is so that we can store local indices in the memory
// formerly occupied by global indices.
static_assert (sizeof (GlobalOrdinal) >= sizeof (LocalOrdinal),
"Tpetra::CrsGraph: sizeof(GlobalOrdinal) must be >= sizeof(LocalOrdinal).");
// Assumption: max(size_t) >= max(LocalOrdinal)
// This is so that we can represent any LocalOrdinal as a size_t.
static_assert (sizeof (size_t) >= sizeof (LocalOrdinal),
"Tpetra::CrsGraph: sizeof(size_t) must be >= sizeof(LocalOrdinal).");
static_assert (sizeof(GST) >= sizeof(size_t),
"Tpetra::CrsGraph: sizeof(Tpetra::global_size_t) must be >= sizeof(size_t).");
// FIXME (mfh 30 Sep 2015) We're not using
// Teuchos::CompileTimeAssert any more. Can we do these checks
// with static_assert?
// can't call max() with CompileTimeAssert, because it isn't a
// constant expression; will need to make this a runtime check
const char msg[] = "Tpetra::CrsGraph: Object cannot be created with the "
"given template arguments: size assumptions are not valid.";
TEUCHOS_TEST_FOR_EXCEPTION(
static_cast<size_t> (Teuchos::OrdinalTraits<LO>::max ()) > Teuchos::OrdinalTraits<size_t>::max (),
std::runtime_error, msg);
TEUCHOS_TEST_FOR_EXCEPTION(
static_cast<GST> (Teuchos::OrdinalTraits<LO>::max ()) > static_cast<GST> (Teuchos::OrdinalTraits<GO>::max ()),
std::runtime_error, msg);
TEUCHOS_TEST_FOR_EXCEPTION(
static_cast<size_t> (Teuchos::OrdinalTraits<GO>::max ()) > Teuchos::OrdinalTraits<GST>::max(),
std::runtime_error, msg);
TEUCHOS_TEST_FOR_EXCEPTION(
Teuchos::OrdinalTraits<size_t>::max () > Teuchos::OrdinalTraits<GST>::max (),
std::runtime_error, msg);
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
size_t
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
insertIndices (const RowInfo& rowinfo,
const SLocalGlobalViews &newInds,
const ELocalGlobal lg,
const ELocalGlobal I)
{
using Teuchos::ArrayView;
#ifdef HAVE_TPETRA_DEBUG
TEUCHOS_TEST_FOR_EXCEPTION(
lg != GlobalIndices && lg != LocalIndices, std::invalid_argument,
"Tpetra::CrsGraph::insertIndices: lg must be either GlobalIndices or "
"LocalIndices.");
#endif // HAVE_TPETRA_DEBUG
size_t numNewInds = 0;
if (lg == GlobalIndices) { // input indices are global
ArrayView<const GlobalOrdinal> new_ginds = newInds.ginds;
numNewInds = new_ginds.size();
if (I == GlobalIndices) { // store global indices
ArrayView<GlobalOrdinal> gind_view = getGlobalViewNonConst(rowinfo);
std::copy(new_ginds.begin(), new_ginds.end(), gind_view.begin()+rowinfo.numEntries);
}
else if (I == LocalIndices) { // store local indices
ArrayView<LocalOrdinal> lind_view = getLocalViewNonConst(rowinfo);
typename ArrayView<const GlobalOrdinal>::iterator in = new_ginds.begin();
const typename ArrayView<const GlobalOrdinal>::iterator stop = new_ginds.end();
typename ArrayView<LocalOrdinal>::iterator out = lind_view.begin()+rowinfo.numEntries;
while (in != stop) {
*out++ = colMap_->getLocalElement (*in++);
}
}
}
else if (lg == LocalIndices) { // input indices are local
ArrayView<const LocalOrdinal> new_linds = newInds.linds;
numNewInds = new_linds.size();
if (I == LocalIndices) { // store local indices
ArrayView<LocalOrdinal> lind_view = getLocalViewNonConst(rowinfo);
std::copy(new_linds.begin(), new_linds.end(), lind_view.begin()+rowinfo.numEntries);
}
else if (I == GlobalIndices) {
TEUCHOS_TEST_FOR_EXCEPTION(true, std::logic_error, "Tpetra::CrsGraph::"
"insertIndices: the case where the input indices are local and the "
"indices to write are global (lg=LocalIndices, I=GlobalIndices) is "
"not implemented, because it does not make sense." << std::endl <<
"If you have correct local column indices, that means the graph has "
"a column Map. In that case, you should be storing local indices.");
}
}
k_numRowEntries_(rowinfo.localRow) += numNewInds;
nodeNumEntries_ += numNewInds;
setLocallyModified ();
return numNewInds;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
insertGlobalIndicesImpl (const LocalOrdinal myRow,
const Teuchos::ArrayView<const GlobalOrdinal>& indices)
{
using Kokkos::subview;
typedef Kokkos::pair<size_t, size_t> range_type;
const char tfecfFuncName[] = "insertGlobalIndicesImpl: ";
RowInfo rowInfo = getRowInfo(myRow);
size_t numNewInds = indices.size();
size_t newNumEntries = rowInfo.numEntries + numNewInds;
if (newNumEntries > rowInfo.allocSize) {
if (getProfileType () == StaticProfile) {
// Count how many new indices are just duplicates of the old
// ones. If enough are duplicates, then we're safe.
//
// TODO (09 Sep 2016) CrsGraph never supported this use case
// before. Thus, we're justified in not optimizing it. We
// could use binary search if the graph's current entries are
// sorted, for example, but we just use linear search for now.
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(rowInfo.numEntries > rowInfo.allocSize, std::logic_error,
"For local row " << myRow << ", rowInfo.numEntries = "
<< rowInfo.numEntries << " > rowInfo.allocSize = "
<< rowInfo.allocSize
<< ". Please report this bug to the Tpetra developers.");
size_t dupCount = 0;
if (k_gblInds1D_.dimension_0 () != 0) {
const size_t curOffset = rowInfo.offset1D;
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(static_cast<size_t> (k_gblInds1D_.dimension_0 ()) < curOffset,
std::logic_error, "k_gblInds1D_.dimension_0() = " <<
k_gblInds1D_.dimension_0 () << " < offset1D = " << curOffset
<< ". Please report this bug to the Tpetra developers.");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(static_cast<size_t> (k_gblInds1D_.dimension_0 ()) <
curOffset + rowInfo.numEntries,
std::logic_error, "k_gblInds1D_.dimension_0() = " <<
k_gblInds1D_.dimension_0 () << " < offset1D (= " << curOffset <<
") + rowInfo.numEntries (= " << rowInfo.numEntries << "). Please "
"report this bug to the Tpetra developers.");
const Kokkos::pair<size_t, size_t>
range (curOffset, curOffset + rowInfo.numEntries);
auto gblIndsCur = subview (k_gblInds1D_, range);
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(static_cast<size_t> (gblIndsCur.dimension_0 ()) != rowInfo.numEntries,
std::logic_error, "gblIndsCur.dimension_0() = " <<
gblIndsCur.dimension_0 () << " != rowInfo.numEntries = " <<
rowInfo.numEntries << ". Please report this bug to the Tpetra "
"developers.");
const size_t numInput = static_cast<size_t> (indices.size ());
for (size_t k_new = 0; k_new < numInput; ++k_new) {
const GlobalOrdinal gblIndToInsert = indices[k_new];
for (size_t k_old = 0; k_old < rowInfo.numEntries; ++k_old) {
if (gblIndsCur[k_old] == gblIndToInsert) {
// Input could itself have duplicates. Input is
// const, so we can't remove duplicates. That's OK
// here, though, because dupCount just refers to the
// number of input entries that actually need to be
// inserted.
++dupCount;
}
}
}
}
else {
Teuchos::ArrayView<GlobalOrdinal> gblInds = (gblInds2D_[myRow]) ();
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(rowInfo.allocSize != static_cast<size_t> (gblInds.size ()),
std::logic_error, "rowInfo.allocSize = " << rowInfo.allocSize
<< " != gblInds.size() = " << gblInds.size ()
<< ". Please report this bug to the Tpetra developers.");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(rowInfo.numEntries > static_cast<size_t> (gblInds.size ()),
std::logic_error, "rowInfo.numEntries = " << rowInfo.numEntries
<< " > gblInds.size() = " << gblInds.size ()
<< ". Please report this bug to the Tpetra developers.");
auto gblIndsCur = gblInds (0, rowInfo.numEntries);
const size_t numInput = static_cast<size_t> (indices.size ());
for (size_t k_new = 0; k_new < numInput; ++k_new) {
const GlobalOrdinal gblIndToInsert = indices[k_new];
for (size_t k_old = 0; k_old < rowInfo.numEntries; ++k_old) {
if (gblIndsCur[k_old] == gblIndToInsert) {
// Input could itself have duplicates. Input is
// const, so we can't remove duplicates. That's OK
// here, though, because dupCount just refers to the
// number of input entries that actually need to be
// inserted.
++dupCount;
}
}
}
}
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(static_cast<size_t> (indices.size ()) < dupCount, std::logic_error,
"indices.size() = " << indices.size () << " < dupCount = " <<
dupCount << ". Please report this bug to the Tpetra developers.");
const size_t numNewToInsert =
static_cast<size_t> (indices.size ()) - dupCount;
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(rowInfo.numEntries + numNewToInsert > rowInfo.allocSize,
std::runtime_error, "For local row " << myRow << " on Process " <<
this->getComm ()->getRank () << ", even after excluding " << dupCount
<< " duplicate(s) in input, the new number of entries " <<
(rowInfo.numEntries + numNewToInsert) << " still exceeds this row's "
"static allocation size " << rowInfo.allocSize << ". You must "
"either fix the upper bound on the number of entries in this row, "
"or switch from StaticProfile to DynamicProfile.");
if (k_gblInds1D_.dimension_0 () != 0) {
const size_t curOffset = rowInfo.offset1D;
auto gblIndsCur =
subview (k_gblInds1D_, range_type (curOffset,
curOffset + rowInfo.numEntries));
auto gblIndsNew =
subview (k_gblInds1D_, range_type (curOffset + rowInfo.numEntries,
curOffset + rowInfo.allocSize));
size_t curPos = 0;
for (size_t k_new = 0; k_new < numNewInds; ++k_new) {
const GlobalOrdinal gblIndToInsert = indices[k_new];
bool isAlreadyInOld = false;
for (size_t k_old = 0; k_old < rowInfo.numEntries; ++k_old) {
if (gblIndsCur[k_old] == gblIndToInsert) {
isAlreadyInOld = true;
break;
}
}
if (! isAlreadyInOld) {
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(curPos >= numNewToInsert, std::logic_error, "curPos = " <<
curPos << " >= numNewToInsert = " << numNewToInsert << ". "
"Please report this bug to the Tpetra developers.");
gblIndsNew[curPos] = gblIndToInsert;
++curPos;
}
} // for each input column index
}
else {
Teuchos::ArrayView<GlobalOrdinal> gblInds = (gblInds2D_[myRow]) ();
// Teuchos::ArrayView::operator() takes (offset, size).
auto gblIndsCur = gblInds (0, rowInfo.numEntries);
auto gblIndsNew = gblInds (rowInfo.numEntries,
rowInfo.allocSize - rowInfo.numEntries);
size_t curPos = 0;
for (size_t k_new = 0; k_new < numNewInds; ++k_new) {
const GlobalOrdinal gblIndToInsert = indices[k_new];
bool isAlreadyInOld = false;
for (size_t k_old = 0; k_old < rowInfo.numEntries; ++k_old) {
if (gblIndsCur[k_old] == gblIndToInsert) {
isAlreadyInOld = true;
break;
}
}
if (! isAlreadyInOld) {
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(curPos >= numNewToInsert, std::logic_error, "curPos = " <<
curPos << " >= numNewToInsert = " << numNewToInsert << ". "
"Please report this bug to the Tpetra developers.");
gblIndsNew[curPos] = gblIndToInsert;
++curPos;
}
} // for each input column index
}
k_numRowEntries_(myRow) = rowInfo.numEntries + numNewToInsert;
nodeNumEntries_ += numNewToInsert;
setLocallyModified ();
#ifdef HAVE_TPETRA_DEBUG
newNumEntries = rowInfo.numEntries + numNewToInsert;
const size_t chkNewNumEntries = getNumEntriesInLocalRow (myRow);
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(chkNewNumEntries != newNumEntries, std::logic_error,
"After inserting new entries, getNumEntriesInLocalRow(" << myRow <<
") = " << chkNewNumEntries << " != newNumEntries = " << newNumEntries
<< ". Please report this bug to the Tpetra developers.");
#endif // HAVE_TPETRA_DEBUG
return; // all done!
}
else {
// update allocation, doubling size to reduce # reallocations
size_t newAllocSize = 2*rowInfo.allocSize;
if (newAllocSize < newNumEntries) {
newAllocSize = newNumEntries;
}
gblInds2D_[myRow].resize(newAllocSize);
nodeNumAllocated_ += (newAllocSize - rowInfo.allocSize);
}
}
// Copy new indices at end of global index array
if (k_gblInds1D_.dimension_0 () != 0) {
const size_t numIndsToCopy = static_cast<size_t> (indices.size ());
const size_t offset = rowInfo.offset1D + rowInfo.numEntries;
for (size_t k = 0; k < numIndsToCopy; ++k) {
k_gblInds1D_[offset + k] = indices[k];
}
}
else {
std::copy(indices.begin(), indices.end(),
gblInds2D_[myRow].begin()+rowInfo.numEntries);
}
k_numRowEntries_(myRow) += numNewInds;
nodeNumEntries_ += numNewInds;
setLocallyModified ();
#ifdef HAVE_TPETRA_DEBUG
{
const size_t chkNewNumEntries = getNumEntriesInLocalRow (myRow);
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
chkNewNumEntries != newNumEntries, std::logic_error,
": Internal logic error. Please contact Tpetra team.");
}
#endif
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
insertLocalIndicesImpl (const LocalOrdinal myRow,
const Teuchos::ArrayView<const LocalOrdinal>& indices)
{
using Kokkos::MemoryUnmanaged;
using Kokkos::subview;
using Kokkos::View;
typedef LocalOrdinal LO;
const char* tfecfFuncName ("insertLocallIndicesImpl");
const RowInfo rowInfo = this->getRowInfo(myRow);
const size_t numNewInds = indices.size();
const size_t newNumEntries = rowInfo.numEntries + numNewInds;
if (newNumEntries > rowInfo.allocSize) {
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
getProfileType() == StaticProfile, std::runtime_error,
": new indices exceed statically allocated graph structure.");
// update allocation, doubling size to reduce number of reallocations
size_t newAllocSize = 2*rowInfo.allocSize;
if (newAllocSize < newNumEntries)
newAllocSize = newNumEntries;
lclInds2D_[myRow].resize(newAllocSize);
nodeNumAllocated_ += (newAllocSize - rowInfo.allocSize);
}
// Store the new indices at the end of row myRow.
if (k_lclInds1D_.dimension_0 () != 0) {
typedef View<const LO*, execution_space, MemoryUnmanaged> input_view_type;
typedef View<LO*, execution_space, MemoryUnmanaged> row_view_type;
input_view_type inputInds (indices.getRawPtr (), indices.size ());
const size_t start = rowInfo.offset1D + rowInfo.numEntries; // end of row
const std::pair<size_t, size_t> rng (start, start + newNumEntries);
// mfh 23 Nov 2015: Don't just create a subview of k_lclInds1D_
// directly, because that first creates a _managed_ subview,
// then returns an unmanaged version of that. That touches the
// reference count, which costs performance in a measurable way.
row_view_type myInds = subview (row_view_type (k_lclInds1D_), rng);
Kokkos::deep_copy (myInds, inputInds);
}
else {
std::copy (indices.begin (), indices.end (),
lclInds2D_[myRow].begin () + rowInfo.numEntries);
}
k_numRowEntries_(myRow) += numNewInds;
nodeNumEntries_ += numNewInds;
setLocallyModified ();
#ifdef HAVE_TPETRA_DEBUG
{
const size_t chkNewNumEntries = getNumEntriesInLocalRow (myRow);
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
chkNewNumEntries != newNumEntries, std::logic_error,
": Internal logic error. Please contact Tpetra team.");
}
#endif
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
sortRowIndices (const RowInfo rowinfo)
{
if (rowinfo.numEntries > 0) {
Teuchos::ArrayView<LocalOrdinal> inds_view =
this->getLocalViewNonConst (rowinfo);
std::sort (inds_view.begin (), inds_view.begin () + rowinfo.numEntries);
}
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
mergeRowIndices (RowInfo rowinfo)
{
using Teuchos::ArrayView;
const char tfecfFuncName[] = "mergeRowIndices: ";
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
isStorageOptimized (), std::logic_error, "The graph is already storage "
"optimized, so we shouldn't be merging any indices. "
"Please report this bug to the Tpetra developers.");
ArrayView<LocalOrdinal> inds_view = this->getLocalViewNonConst (rowinfo);
typename ArrayView<LocalOrdinal>::iterator beg, end, newend;
beg = inds_view.begin();
end = inds_view.begin() + rowinfo.numEntries;
newend = std::unique(beg,end);
const size_t mergedEntries = newend - beg;
#ifdef HAVE_TPETRA_DEBUG
// merge should not have eliminated any entries; if so, the
// assignment below will destroy the packed structure
TEUCHOS_TEST_FOR_EXCEPT( isStorageOptimized () && mergedEntries != rowinfo.numEntries );
#endif // HAVE_TPETRA_DEBUG
k_numRowEntries_(rowinfo.localRow) = mergedEntries;
nodeNumEntries_ -= (rowinfo.numEntries - mergedEntries);
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
setDomainRangeMaps (const Teuchos::RCP<const map_type>& domainMap,
const Teuchos::RCP<const map_type>& rangeMap)
{
// simple pointer comparison for equality
if (domainMap_ != domainMap) {
domainMap_ = domainMap;
importer_ = Teuchos::null;
}
if (rangeMap_ != rangeMap) {
rangeMap_ = rangeMap;
exporter_ = Teuchos::null;
}
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
clearGlobalConstants ()
{
globalNumEntries_ = Teuchos::OrdinalTraits<global_size_t>::invalid ();
globalNumDiags_ = Teuchos::OrdinalTraits<global_size_t>::invalid ();
globalMaxNumRowEntries_ = Teuchos::OrdinalTraits<global_size_t>::invalid ();
haveGlobalConstants_ = false;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
checkInternalState () const
{
#ifdef HAVE_TPETRA_DEBUG
const global_size_t GSTI = Teuchos::OrdinalTraits<global_size_t>::invalid ();
const size_t STI = Teuchos::OrdinalTraits<size_t>::invalid ();
const char err[] = "Tpetra::CrsGraph::checkInternalState: Likely internal "
"logic error. Please contact Tpetra team.";
// check the internal state of this data structure
// this is called by numerous state-changing methods, in a debug build, to ensure that the object
// always remains in a valid state
// the graph should have been allocated with a row map
TEUCHOS_TEST_FOR_EXCEPTION( rowMap_ == Teuchos::null, std::logic_error, err );
// am either complete or active
TEUCHOS_TEST_FOR_EXCEPTION( isFillActive() == isFillComplete(), std::logic_error, err );
// if the graph has been fill completed, then all maps should be present
TEUCHOS_TEST_FOR_EXCEPTION( isFillComplete() == true && (colMap_ == Teuchos::null || rangeMap_ == Teuchos::null || domainMap_ == Teuchos::null), std::logic_error, err );
// if storage has been optimized, then indices should have been allocated (even if trivially so)
TEUCHOS_TEST_FOR_EXCEPTION( isStorageOptimized() == true && indicesAreAllocated() == false, std::logic_error, err );
// if storage has been optimized, then number of allocated is now the number of entries
TEUCHOS_TEST_FOR_EXCEPTION( isStorageOptimized() == true && getNodeAllocationSize() != getNodeNumEntries(), std::logic_error, err );
// if graph doesn't have the global constants, then they should all be marked as invalid
TEUCHOS_TEST_FOR_EXCEPTION( haveGlobalConstants_ == false && ( globalNumEntries_ != GSTI || globalNumDiags_ != GSTI || globalMaxNumRowEntries_ != GSTI ), std::logic_error, err );
// if the graph has global cosntants, then they should be valid.
TEUCHOS_TEST_FOR_EXCEPTION( haveGlobalConstants_ == true && ( globalNumEntries_ == GSTI || globalNumDiags_ == GSTI || globalMaxNumRowEntries_ == GSTI ), std::logic_error, err );
TEUCHOS_TEST_FOR_EXCEPTION( haveGlobalConstants_ == true && ( globalNumEntries_ < nodeNumEntries_ || globalNumDiags_ < nodeNumDiags_ || globalMaxNumRowEntries_ < nodeMaxNumRowEntries_ ),
std::logic_error, err );
// if indices are allocated, then the allocation specifications should have been released
TEUCHOS_TEST_FOR_EXCEPTION(
indicesAreAllocated () && (numAllocForAllRows_ != 0 ||
k_numAllocPerRow_.dimension_0 () != 0),
std::logic_error, err );
// if indices are not allocated, then information dictating allocation quantities should be present
TEUCHOS_TEST_FOR_EXCEPTION(
! indicesAreAllocated () && (nodeNumAllocated_ != STI ||
nodeNumEntries_ != 0),
std::logic_error, err );
// if storage is optimized, then profile should be static
TEUCHOS_TEST_FOR_EXCEPTION( isStorageOptimized() && pftype_ != StaticProfile, std::logic_error, err );
// If k_rowPtrs_ exists (has nonzero size), it must have N+1 rows,
// and k_rowPtrs_(N) must equal k_gblInds1D_.dimension_0() (if
// globally indexed) or k_lclInds1D_.dimension_0() (if locally
// indexed).
TEUCHOS_TEST_FOR_EXCEPTION(
isGloballyIndexed () && k_rowPtrs_.dimension_0 () != 0 &&
(static_cast<size_t> (k_rowPtrs_.dimension_0 ()) != getNodeNumRows () + 1 ||
k_rowPtrs_(getNodeNumRows ()) != static_cast<size_t> (k_gblInds1D_.dimension_0 ())),
std::logic_error, err );
TEUCHOS_TEST_FOR_EXCEPTION(
isLocallyIndexed () && k_rowPtrs_.dimension_0 () != 0 &&
(static_cast<size_t> (k_rowPtrs_.dimension_0 ()) != getNodeNumRows () + 1 ||
k_rowPtrs_(getNodeNumRows ()) != static_cast<size_t> (k_lclInds1D_.dimension_0 ())),
std::logic_error, err );
// If profile is dynamic and indices are allocated, then 2-D
// allocations of column index storage (either local or global)
// must be present.
TEUCHOS_TEST_FOR_EXCEPTION(
pftype_ == DynamicProfile &&
indicesAreAllocated () &&
getNodeNumRows () > 0 &&
lclInds2D_.is_null () && gblInds2D_.is_null (),
std::logic_error, err );
// If profile is dynamic and the calling process owns nonzero
// rows, then k_numRowEntries_ and 2-D storage of column indices
// (whether local or global) must be present.
TEUCHOS_TEST_FOR_EXCEPTION(
pftype_ == DynamicProfile &&
indicesAreAllocated () &&
getNodeNumRows () > 0 &&
(k_numRowEntries_.dimension_0 () == 0 ||
(lclInds2D_.is_null () && gblInds2D_.is_null ())),
std::logic_error, err );
// if profile is dynamic, then 1D allocations should not be present
TEUCHOS_TEST_FOR_EXCEPTION(
pftype_ == DynamicProfile &&
(k_lclInds1D_.dimension_0 () != 0 || k_gblInds1D_.dimension_0 () != 0),
std::logic_error, err );
// if profile is dynamic, then row offsets should not be present
TEUCHOS_TEST_FOR_EXCEPTION(
pftype_ == DynamicProfile && k_rowPtrs_.dimension_0 () != 0,
std::logic_error, err );
// if profile is static and we have allocated non-trivially, then
// 1D allocations should be present
TEUCHOS_TEST_FOR_EXCEPTION(
pftype_ == StaticProfile && indicesAreAllocated () &&
getNodeAllocationSize () > 0 && k_lclInds1D_.dimension_0 () == 0 &&
k_gblInds1D_.dimension_0 () == 0,
std::logic_error, err);
// if profile is static, then 2D allocations should not be present
TEUCHOS_TEST_FOR_EXCEPTION(
pftype_ == StaticProfile && (lclInds2D_ != Teuchos::null || gblInds2D_ != Teuchos::null),
std::logic_error, err );
// if indices are not allocated, then none of the buffers should be.
TEUCHOS_TEST_FOR_EXCEPTION(
! indicesAreAllocated () &&
((k_rowPtrs_.dimension_0 () != 0 || k_numRowEntries_.dimension_0 () != 0) ||
k_lclInds1D_.dimension_0 () != 0 || lclInds2D_ != Teuchos::null ||
k_gblInds1D_.dimension_0 () != 0 || gblInds2D_ != Teuchos::null),
std::logic_error, err );
// indices may be local or global only if they are allocated
// (numAllocated is redundant; could simply be indicesAreLocal_ ||
// indicesAreGlobal_)
TEUCHOS_TEST_FOR_EXCEPTION( (indicesAreLocal_ || indicesAreGlobal_) && ! indicesAreAllocated_, std::logic_error, err );
// indices may be local or global, but not both
TEUCHOS_TEST_FOR_EXCEPTION( indicesAreLocal_ == true && indicesAreGlobal_ == true, std::logic_error, err );
// if indices are local, then global allocations should not be present
TEUCHOS_TEST_FOR_EXCEPTION(
indicesAreLocal_ && (k_gblInds1D_.dimension_0 () != 0 || gblInds2D_ != Teuchos::null),
std::logic_error, err );
// if indices are global, then local allocations should not be present
TEUCHOS_TEST_FOR_EXCEPTION(
indicesAreGlobal_ && (k_lclInds1D_.dimension_0 () != 0 || lclInds2D_ != Teuchos::null),
std::logic_error, err );
// if indices are local, then local allocations should be present
TEUCHOS_TEST_FOR_EXCEPTION(
indicesAreLocal_ && getNodeAllocationSize () > 0 &&
k_lclInds1D_.dimension_0 () == 0 && getNodeNumRows () > 0 &&
lclInds2D_.is_null (),
std::logic_error, err);
// if indices are global, then global allocations should be present
TEUCHOS_TEST_FOR_EXCEPTION(
indicesAreGlobal_ && getNodeAllocationSize () > 0 &&
k_gblInds1D_.dimension_0 () == 0 && getNodeNumRows () > 0 &&
gblInds2D_.is_null (),
std::logic_error, err);
// if indices are allocated, then we should have recorded how many were allocated
TEUCHOS_TEST_FOR_EXCEPTION( indicesAreAllocated() == true && nodeNumAllocated_ == STI, std::logic_error, err );
// if indices are not allocated, then the allocation size should be marked invalid
TEUCHOS_TEST_FOR_EXCEPTION( indicesAreAllocated() == false && nodeNumAllocated_ != STI, std::logic_error, err );
// check the actual allocations
if (indicesAreAllocated()) {
size_t actualNumAllocated = 0;
if (pftype_ == DynamicProfile) {
if (isGloballyIndexed() && gblInds2D_ != Teuchos::null) {
for (size_t r = 0; r < getNodeNumRows(); ++r) {
actualNumAllocated += gblInds2D_[r].size();
}
}
else if (isLocallyIndexed() && lclInds2D_ != Teuchos::null) {
for (size_t r = 0; r < getNodeNumRows(); ++r) {
actualNumAllocated += lclInds2D_[r].size();
}
}
TEUCHOS_TEST_FOR_EXCEPTION(actualNumAllocated != nodeNumAllocated_, std::logic_error, err );
}
else if (k_rowPtrs_.dimension_0 () != 0) { // pftype_ == StaticProfile
TEUCHOS_TEST_FOR_EXCEPTION(
static_cast<size_t> (k_rowPtrs_.dimension_0 ()) != getNodeNumRows () + 1,
std::logic_error, err);
actualNumAllocated = k_rowPtrs_(getNodeNumRows ());
TEUCHOS_TEST_FOR_EXCEPTION(
isLocallyIndexed () &&
static_cast<size_t> (k_lclInds1D_.dimension_0 ()) != actualNumAllocated,
std::logic_error, err );
TEUCHOS_TEST_FOR_EXCEPTION(
isGloballyIndexed () &&
static_cast<size_t> (k_gblInds1D_.dimension_0 ()) != actualNumAllocated,
std::logic_error, err );
TEUCHOS_TEST_FOR_EXCEPTION(actualNumAllocated != nodeNumAllocated_, std::logic_error, err );
}
}
#endif // HAVE_TPETRA_DEBUG
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
size_t
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getNumEntriesInGlobalRow (GlobalOrdinal globalRow) const
{
using Teuchos::OrdinalTraits;
const LocalOrdinal lrow = rowMap_->getLocalElement (globalRow);
if (hasRowInfo () && lrow != OrdinalTraits<LocalOrdinal>::invalid ()) {
const RowInfo rowinfo = this->getRowInfo (lrow);
return rowinfo.numEntries;
} else {
return OrdinalTraits<size_t>::invalid ();
}
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
size_t
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getNumEntriesInLocalRow (LocalOrdinal localRow) const
{
if (hasRowInfo () && rowMap_->isNodeLocalElement (localRow)) {
const RowInfo rowinfo = this->getRowInfo (localRow);
return rowinfo.numEntries;
} else {
return Teuchos::OrdinalTraits<size_t>::invalid ();
}
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
size_t
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getNumAllocatedEntriesInGlobalRow (GlobalOrdinal globalRow) const
{
const LocalOrdinal lrow = rowMap_->getLocalElement (globalRow);
if (hasRowInfo () && lrow != Teuchos::OrdinalTraits<LocalOrdinal>::invalid ()) {
const RowInfo rowinfo = this->getRowInfo (lrow);
return rowinfo.allocSize;
} else {
return Teuchos::OrdinalTraits<size_t>::invalid ();
}
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
size_t
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getNumAllocatedEntriesInLocalRow (LocalOrdinal localRow) const
{
if (hasRowInfo () && rowMap_->isNodeLocalElement (localRow)) {
const RowInfo rowinfo = this->getRowInfo (localRow);
return rowinfo.allocSize;
} else {
return Teuchos::OrdinalTraits<size_t>::invalid();
}
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
Teuchos::ArrayRCP<const size_t>
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getNodeRowPtrs () const
{
using Kokkos::ViewAllocateWithoutInitializing;
using Kokkos::create_mirror_view;
using Teuchos::ArrayRCP;
typedef typename local_graph_type::row_map_type row_map_type;
typedef typename row_map_type::non_const_value_type row_offset_type;
#ifdef HAVE_TPETRA_DEBUG
const char prefix[] = "Tpetra::CrsGraph::getNodeRowPtrs: ";
const char suffix[] = " Please report this bug to the Tpetra developers.";
#endif // HAVE_TPETRA_DEBUG
const size_t size = k_rowPtrs_.dimension_0 ();
const bool same = Kokkos::Impl::is_same<size_t, row_offset_type>::value;
if (size == 0) {
return ArrayRCP<const size_t> ();
}
ArrayRCP<const row_offset_type> ptr_rot;
ArrayRCP<const size_t> ptr_st;
if (same) { // size_t == row_offset_type
// NOTE (mfh 22 Mar 2015) In a debug build of Kokkos, the result
// of create_mirror_view might actually be a new allocation.
// This helps with debugging when there are two memory spaces.
typename row_map_type::HostMirror ptr_h = create_mirror_view (k_rowPtrs_);
Kokkos::deep_copy (ptr_h, k_rowPtrs_);
#ifdef HAVE_TPETRA_DEBUG
TEUCHOS_TEST_FOR_EXCEPTION(
ptr_h.dimension_0 () != k_rowPtrs_.dimension_0 (), std::logic_error,
prefix << "size_t == row_offset_type, but ptr_h.dimension_0() = "
<< ptr_h.dimension_0 () << " != k_rowPtrs_.dimension_0() = "
<< k_rowPtrs_.dimension_0 () << ".");
TEUCHOS_TEST_FOR_EXCEPTION(
same && size != 0 && k_rowPtrs_.ptr_on_device () == NULL, std::logic_error,
prefix << "size_t == row_offset_type and k_rowPtrs_.dimension_0() = "
<< size << " != 0, but k_rowPtrs_.ptr_on_device() == NULL." << suffix);
TEUCHOS_TEST_FOR_EXCEPTION(
same && size != 0 && ptr_h.ptr_on_device () == NULL, std::logic_error,
prefix << "size_t == row_offset_type and k_rowPtrs_.dimension_0() = "
<< size << " != 0, but create_mirror_view(k_rowPtrs_).ptr_on_device() "
"== NULL." << suffix);
#endif // HAVE_TPETRA_DEBUG
ptr_rot = Kokkos::Compat::persistingView (ptr_h);
}
else { // size_t != row_offset_type
typedef Kokkos::View<size_t*, device_type> ret_view_type;
ret_view_type ptr_d (ViewAllocateWithoutInitializing ("ptr"), size);
::Tpetra::Details::copyOffsets (ptr_d, k_rowPtrs_);
typename ret_view_type::HostMirror ptr_h = create_mirror_view (ptr_d);
Kokkos::deep_copy (ptr_h, ptr_d);
ptr_st = Kokkos::Compat::persistingView (ptr_h);
}
#ifdef HAVE_TPETRA_DEBUG
TEUCHOS_TEST_FOR_EXCEPTION(
same && size != 0 && ptr_rot.is_null (), std::logic_error,
prefix << "size_t == row_offset_type and size = " << size
<< " != 0, but ptr_rot is null." << suffix);
TEUCHOS_TEST_FOR_EXCEPTION(
! same && size != 0 && ptr_st.is_null (), std::logic_error,
prefix << "size_t != row_offset_type and size = " << size
<< " != 0, but ptr_st is null." << suffix);
#endif // HAVE_TPETRA_DEBUG
// If size_t == row_offset_type, return a persisting host view of
// k_rowPtrs_. Otherwise, return a size_t host copy of k_rowPtrs_.
#ifdef HAVE_TPETRA_DEBUG
ArrayRCP<const size_t> retval =
Kokkos::Impl::if_c<same,
ArrayRCP<const row_offset_type>,
ArrayRCP<const size_t> >::select (ptr_rot, ptr_st);
TEUCHOS_TEST_FOR_EXCEPTION(
size != 0 && retval.is_null (), std::logic_error,
prefix << "size = " << size << " != 0, but retval is null." << suffix);
return retval;
#else
return Kokkos::Impl::if_c<same,
ArrayRCP<const row_offset_type>,
ArrayRCP<const size_t> >::select (ptr_rot, ptr_st);
#endif // HAVE_TPETRA_DEBUG
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
Teuchos::ArrayRCP<const LocalOrdinal>
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getNodePackedIndices () const
{
return Kokkos::Compat::persistingView (k_lclInds1D_);
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getLocalRowCopy (LocalOrdinal localRow,
const Teuchos::ArrayView<LocalOrdinal>&indices,
size_t& numEntries) const
{
using Teuchos::ArrayView;
typedef LocalOrdinal LO;
typedef GlobalOrdinal GO;
const char tfecfFuncName[] = "getLocalRowCopy: ";
TEUCHOS_TEST_FOR_EXCEPTION(
isGloballyIndexed () && ! hasColMap (), std::runtime_error,
"Tpetra::CrsGraph::getLocalRowCopy: The graph is globally indexed and "
"does not have a column Map yet. That means we don't have local indices "
"for columns yet, so it doesn't make sense to call this method. If the "
"graph doesn't have a column Map yet, you should call fillComplete on "
"it first.");
#ifdef HAVE_TPETRA_DEBUG
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
! hasRowInfo(), std::runtime_error,
"Graph row information was deleted at fillComplete.");
#endif // HAVE_TPETRA_DEBUG
// This does the right thing (reports an empty row) if the input
// row is invalid.
const RowInfo rowinfo = getRowInfo (localRow);
// No side effects on error.
const size_t theNumEntries = rowinfo.numEntries;
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
static_cast<size_t> (indices.size ()) < theNumEntries, std::runtime_error,
"Specified storage (size==" << indices.size () << ") does not suffice "
"to hold all " << theNumEntries << " entry/ies for this row.");
numEntries = theNumEntries;
if (rowinfo.localRow != Teuchos::OrdinalTraits<size_t>::invalid ()) {
if (isLocallyIndexed ()) {
ArrayView<const LO> lview = getLocalView (rowinfo);
for (size_t j = 0; j < theNumEntries; ++j) {
indices[j] = lview[j];
}
}
else if (isGloballyIndexed ()) {
ArrayView<const GO> gview = getGlobalView (rowinfo);
for (size_t j = 0; j < theNumEntries; ++j) {
indices[j] = colMap_->getLocalElement (gview[j]);
}
}
}
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getGlobalRowCopy (GlobalOrdinal globalRow,
const Teuchos::ArrayView<GlobalOrdinal>& indices,
size_t& numEntries) const
{
using Teuchos::ArrayView;
const char tfecfFuncName[] = "getGlobalRowCopy: ";
#ifdef HAVE_TPETRA_DEBUG
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
! hasRowInfo (), std::runtime_error,
"Graph row information was deleted at fillComplete.");
#endif // HAVE_TPETRA_DEBUG
// This does the right thing (reports an empty row) if the input
// row is invalid.
const RowInfo rowinfo = getRowInfoFromGlobalRowIndex (globalRow);
const size_t theNumEntries = rowinfo.numEntries;
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
static_cast<size_t> (indices.size ()) < theNumEntries, std::runtime_error,
"Specified storage (size==" << indices.size () << ") does not suffice "
"to hold all " << theNumEntries << " entry/ies for this row.");
numEntries = theNumEntries; // first side effect
if (rowinfo.localRow != Teuchos::OrdinalTraits<size_t>::invalid ()) {
if (isLocallyIndexed ()) {
ArrayView<const LocalOrdinal> lview = getLocalView (rowinfo);
for (size_t j = 0; j < theNumEntries; ++j) {
indices[j] = colMap_->getGlobalElement (lview[j]);
}
}
else if (isGloballyIndexed ()) {
ArrayView<const GlobalOrdinal> gview = getGlobalView (rowinfo);
for (size_t j = 0; j < theNumEntries; ++j) {
indices[j] = gview[j];
}
}
}
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getLocalRowView (LocalOrdinal localRow,
Teuchos::ArrayView<const LocalOrdinal>& indices) const
{
const char tfecfFuncName[] = "getLocalRowView: ";
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
isGloballyIndexed (), std::runtime_error, "The graph's indices are "
"currently stored as global indices, so we cannot return a view with "
"local column indices, whether or not the graph has a column Map. If "
"the graph _does_ have a column Map, use getLocalRowCopy() instead.");
#ifdef HAVE_TPETRA_DEBUG
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
! hasRowInfo (), std::runtime_error, "Graph row information was "
"deleted at fillComplete().");
#endif // HAVE_TPETRA_DEBUG
// This does the right thing (reports an empty row) if the input
// row is invalid.
const RowInfo rowInfo = getRowInfo (localRow);
indices = Teuchos::null;
if (rowInfo.localRow != Teuchos::OrdinalTraits<size_t>::invalid () &&
rowInfo.numEntries > 0) {
indices = this->getLocalView (rowInfo);
// getLocalView returns a view of the _entire_ row, including
// any extra space at the end (which 1-D unpacked storage
// might have, for example). That's why we have to take a
// subview of the returned view.
indices = indices (0, rowInfo.numEntries);
}
#ifdef HAVE_TPETRA_DEBUG
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(static_cast<size_t> (indices.size ()) !=
getNumEntriesInLocalRow (localRow), std::logic_error, "indices.size() "
"= " << indices.size () << " != getNumEntriesInLocalRow(localRow=" <<
localRow << ") = " << getNumEntriesInLocalRow (localRow) <<
". Please report this bug to the Tpetra developers.");
#endif // HAVE_TPETRA_DEBUG
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getGlobalRowView (GlobalOrdinal globalRow,
Teuchos::ArrayView<const GlobalOrdinal>& indices) const
{
const char tfecfFuncName[] = "getGlobalRowView: ";
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
isLocallyIndexed (), std::runtime_error, "The graph's indices are "
"currently stored as local indices, so we cannot return a view with "
"global column indices. Use getGlobalRowCopy() instead.");
#ifdef HAVE_TPETRA_DEBUG
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
! hasRowInfo (), std::runtime_error,
"Graph row information was deleted at fillComplete().");
#endif // HAVE_TPETRA_DEBUG
// This does the right thing (reports an empty row) if the input
// row is invalid.
const RowInfo rowInfo = getRowInfoFromGlobalRowIndex (globalRow);
indices = Teuchos::null;
if (rowInfo.localRow != Teuchos::OrdinalTraits<size_t>::invalid () &&
rowInfo.numEntries > 0) {
indices = (this->getGlobalView (rowInfo)) (0, rowInfo.numEntries);
}
#ifdef HAVE_TPETRA_DEBUG
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(static_cast<size_t> (indices.size ()) != getNumEntriesInGlobalRow (globalRow),
std::logic_error, "indices.size() = " << indices.size ()
<< " != getNumEntriesInGlobalRow(globalRow=" << globalRow << ") = "
<< getNumEntriesInGlobalRow (globalRow)
<< ". Please report this bug to the Tpetra developers.");
#endif // HAVE_TPETRA_DEBUG
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
insertLocalIndices (const LocalOrdinal localRow,
const Teuchos::ArrayView<const LocalOrdinal>& indices)
{
const char tfecfFuncName[] = "insertLocalIndices";
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
! isFillActive (), std::runtime_error,
": requires that fill is active.");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
isGloballyIndexed (), std::runtime_error,
": graph indices are global; use insertGlobalIndices().");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
! hasColMap (), std::runtime_error,
": cannot insert local indices without a column map.");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
! rowMap_->isNodeLocalElement (localRow), std::runtime_error,
": row does not belong to this node.");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
! hasRowInfo (), std::runtime_error,
": graph row information was deleted at fillComplete().");
if (! indicesAreAllocated ()) {
allocateIndices (LocalIndices);
}
#ifdef HAVE_TPETRA_DEBUG
// In a debug build, if the graph has a column Map, test whether
// any of the given column indices are not in the column Map.
// Keep track of the invalid column indices so we can tell the
// user about them.
if (hasColMap ()) {
using Teuchos::Array;
using Teuchos::toString;
using std::endl;
typedef typename Teuchos::ArrayView<const LocalOrdinal>::size_type size_type;
const map_type& colMap = * (getColMap ());
Array<LocalOrdinal> badColInds;
bool allInColMap = true;
for (size_type k = 0; k < indices.size (); ++k) {
if (! colMap.isNodeLocalElement (indices[k])) {
allInColMap = false;
badColInds.push_back (indices[k]);
}
}
if (! allInColMap) {
std::ostringstream os;
os << "Tpetra::CrsMatrix::insertLocalIndices: You attempted to insert "
"entries in owned row " << localRow << ", at the following column "
"indices: " << toString (indices) << "." << endl;
os << "Of those, the following indices are not in the column Map on "
"this process: " << toString (badColInds) << "." << endl << "Since "
"the graph has a column Map already, it is invalid to insert entries "
"at those locations.";
TEUCHOS_TEST_FOR_EXCEPTION(! allInColMap, std::invalid_argument, os.str ());
}
}
#endif // HAVE_TPETRA_DEBUG
insertLocalIndicesImpl (localRow, indices);
#ifdef HAVE_TPETRA_DEBUG
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
indicesAreAllocated() == false || isLocallyIndexed() == false,
std::logic_error,
": Violated stated post-conditions. Please contact Tpetra team.");
#endif
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
insertLocalIndices (const LocalOrdinal localRow,
const LocalOrdinal numEnt,
const LocalOrdinal inds[])
{
Teuchos::ArrayView<const LocalOrdinal> indsT (inds, numEnt);
this->insertLocalIndices (localRow, indsT);
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
insertLocalIndicesFiltered (const LocalOrdinal localRow,
const Teuchos::ArrayView<const LocalOrdinal>& indices)
{
typedef LocalOrdinal LO;
const char tfecfFuncName[] = "insertLocalIndicesFiltered";
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
isFillActive() == false, std::runtime_error,
": requires that fill is active.");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
isGloballyIndexed() == true, std::runtime_error,
": graph indices are global; use insertGlobalIndices().");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
hasColMap() == false, std::runtime_error,
": cannot insert local indices without a column map.");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
rowMap_->isNodeLocalElement(localRow) == false, std::runtime_error,
": row does not belong to this node.");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
! hasRowInfo (), std::runtime_error,
": graph row information was deleted at fillComplete().");
if (! indicesAreAllocated ()) {
allocateIndices (LocalIndices);
}
// If we have a column map, use it to filter the entries.
if (hasColMap ()) {
Teuchos::Array<LO> filtered_indices (indices);
SLocalGlobalViews inds_view;
SLocalGlobalNCViews inds_ncview;
inds_ncview.linds = filtered_indices();
const size_t numFilteredEntries =
filterIndices<LocalIndices>(inds_ncview);
inds_view.linds = filtered_indices (0, numFilteredEntries);
insertLocalIndicesImpl(localRow, inds_view.linds);
}
else {
insertLocalIndicesImpl(localRow, indices);
}
#ifdef HAVE_TPETRA_DEBUG
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
indicesAreAllocated() == false || isLocallyIndexed() == false,
std::logic_error,
": Violated stated post-conditions. Please contact Tpetra team.");
#endif
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
insertGlobalIndices (const GlobalOrdinal grow,
const Teuchos::ArrayView<const GlobalOrdinal>& indices)
{
using Teuchos::Array;
using Teuchos::ArrayView;
typedef LocalOrdinal LO;
typedef GlobalOrdinal GO;
typedef typename ArrayView<const GO>::size_type size_type;
const char tfecfFuncName[] = "insertGlobalIndices";
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
isLocallyIndexed() == true, std::runtime_error,
": graph indices are local; use insertLocalIndices().");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
! hasRowInfo (), std::runtime_error,
": graph row information was deleted at fillComplete().");
// This can't really be satisfied for now, because if we are
// fillComplete(), then we are local. In the future, this may
// change. However, the rule that modification require active
// fill will not change.
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
isFillActive() == false, std::runtime_error,
": You are not allowed to call this method if fill is not active. "
"If fillComplete has been called, you must first call resumeFill "
"before you may insert indices.");
if (! indicesAreAllocated ()) {
allocateIndices (GlobalIndices);
}
const LO myRow = rowMap_->getLocalElement (grow);
if (myRow != Teuchos::OrdinalTraits<LO>::invalid ()) {
#ifdef HAVE_TPETRA_DEBUG
if (hasColMap ()) {
using std::endl;
const map_type& colMap = * (getColMap ());
// In a debug build, keep track of the nonowned ("bad") column
// indices, so that we can display them in the exception
// message. In a release build, just ditch the loop early if
// we encounter a nonowned column index.
Array<GO> badColInds;
bool allInColMap = true;
for (size_type k = 0; k < indices.size (); ++k) {
if (! colMap.isNodeGlobalElement (indices[k])) {
allInColMap = false;
badColInds.push_back (indices[k]);
}
}
if (! allInColMap) {
std::ostringstream os;
os << "Tpetra::CrsGraph::insertGlobalIndices: You attempted to insert "
"entries in owned row " << grow << ", at the following column "
"indices: " << toString (indices) << "." << endl;
os << "Of those, the following indices are not in the column Map on "
"this process: " << toString (badColInds) << "." << endl << "Since "
"the matrix has a column Map already, it is invalid to insert "
"entries at those locations.";
TEUCHOS_TEST_FOR_EXCEPTION(! allInColMap, std::invalid_argument, os.str ());
}
}
#endif // HAVE_TPETRA_DEBUG
insertGlobalIndicesImpl (myRow, indices);
}
else { // a nonlocal row
const size_type numIndices = indices.size ();
// This creates the Array if it doesn't exist yet. std::map's
// operator[] does a lookup each time, so it's better to pull
// nonlocals_[grow] out of the loop.
std::vector<GO>& nonlocalRow = nonlocals_[grow];
for (size_type k = 0; k < numIndices; ++k) {
nonlocalRow.push_back (indices[k]);
}
}
#ifdef HAVE_TPETRA_DEBUG
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
indicesAreAllocated() == false || isGloballyIndexed() == false,
std::logic_error,
": Violated stated post-conditions. Please contact Tpetra team.");
#endif
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
insertGlobalIndices (const GlobalOrdinal globalRow,
const LocalOrdinal numEnt,
const GlobalOrdinal inds[])
{
Teuchos::ArrayView<const GlobalOrdinal> indsT (inds, numEnt);
this->insertGlobalIndices (globalRow, indsT);
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
insertGlobalIndicesFiltered (const GlobalOrdinal grow,
const Teuchos::ArrayView<const GlobalOrdinal>& indices)
{
using Teuchos::Array;
using Teuchos::ArrayView;
typedef LocalOrdinal LO;
typedef GlobalOrdinal GO;
const char tfecfFuncName[] = "insertGlobalIndicesFiltered";
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
isLocallyIndexed() == true, std::runtime_error,
": graph indices are local; use insertLocalIndices().");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
! hasRowInfo (), std::runtime_error,
": graph row information was deleted at fillComplete().");
// This can't really be satisfied for now, because if we are
// fillComplete(), then we are local. In the future, this may
// change. However, the rule that modification require active
// fill will not change.
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
isFillActive() == false, std::runtime_error,
": You are not allowed to call this method if fill is not active. "
"If fillComplete has been called, you must first call resumeFill "
"before you may insert indices.");
if (! indicesAreAllocated ()) {
allocateIndices (GlobalIndices);
}
const LO myRow = rowMap_->getLocalElement (grow);
if (myRow != Teuchos::OrdinalTraits<LO>::invalid ()) {
// If we have a column map, use it to filter the entries.
if (hasColMap ()) {
Array<GO> filtered_indices(indices);
SLocalGlobalViews inds_view;
SLocalGlobalNCViews inds_ncview;
inds_ncview.ginds = filtered_indices();
const size_t numFilteredEntries =
filterIndices<GlobalIndices> (inds_ncview);
inds_view.ginds = filtered_indices (0, numFilteredEntries);
insertGlobalIndicesImpl(myRow, inds_view.ginds);
}
else {
insertGlobalIndicesImpl(myRow, indices);
}
}
else { // a nonlocal row
typedef typename ArrayView<const GO>::size_type size_type;
const size_type numIndices = indices.size ();
for (size_type k = 0; k < numIndices; ++k) {
nonlocals_[grow].push_back (indices[k]);
}
}
#ifdef HAVE_TPETRA_DEBUG
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
indicesAreAllocated() == false || isGloballyIndexed() == false,
std::logic_error,
": Violated stated post-conditions. Please contact Tpetra team.");
#endif
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
removeLocalIndices (LocalOrdinal lrow)
{
const char tfecfFuncName[] = "removeLocalIndices: ";
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
! isFillActive (), std::runtime_error, "requires that fill is active.");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
isStorageOptimized (), std::runtime_error,
"cannot remove indices after optimizeStorage() has been called.");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
isGloballyIndexed (), std::runtime_error, "graph indices are global.");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
! rowMap_->isNodeLocalElement (lrow), std::runtime_error,
"Local row " << lrow << " is not in the row Map on the calling process.");
if (! indicesAreAllocated ()) {
allocateIndices (LocalIndices);
}
// FIXME (mfh 13 Aug 2014) What if they haven't been cleared on
// all processes?
clearGlobalConstants ();
if (k_numRowEntries_.dimension_0 () != 0) {
const size_t oldNumEntries = k_numRowEntries_(lrow);
nodeNumEntries_ -= oldNumEntries;
k_numRowEntries_(lrow) = 0;
}
#ifdef HAVE_TPETRA_DEBUG
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
getNumEntriesInLocalRow (lrow) != 0 ||
! indicesAreAllocated () ||
! isLocallyIndexed (), std::logic_error,
": Violated stated post-conditions. Please contact Tpetra team.");
#endif // HAVE_TPETRA_DEBUG
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
setAllIndices (const typename local_graph_type::row_map_type& rowPointers,
const typename local_graph_type::entries_type::non_const_type& columnIndices)
{
const char tfecfFuncName[] = "setAllIndices: ";
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
! hasColMap () || getColMap ().is_null (), std::runtime_error,
"The graph must have a column Map before you may call this method.");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
static_cast<size_t> (rowPointers.size ()) != this->getNodeNumRows () + 1,
std::runtime_error, "rowPointers.size() = " << rowPointers.size () <<
" != this->getNodeNumRows()+1 = " << (this->getNodeNumRows () + 1) <<
".");
// FIXME (mfh 07 Aug 2014) We need to relax this restriction,
// since the future model will be allocation at construction, not
// lazy allocation on first insert.
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
k_lclInds1D_.dimension_0 () != 0 || k_gblInds1D_.dimension_0 () != 0,
std::runtime_error, "You may not call this method if 1-D data structures "
"are already allocated.");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
lclInds2D_ != Teuchos::null || gblInds2D_ != Teuchos::null,
std::runtime_error, "You may not call this method if 2-D data structures "
"are already allocated.");
const size_t localNumEntries = rowPointers(getNodeNumRows ());
indicesAreAllocated_ = true;
indicesAreLocal_ = true;
pftype_ = StaticProfile; // if the profile wasn't static before, it sure is now.
k_lclInds1D_ = columnIndices;
k_rowPtrs_ = rowPointers;
nodeNumAllocated_ = localNumEntries;
nodeNumEntries_ = localNumEntries;
// Build the local graph.
lclGraph_ = local_graph_type (k_lclInds1D_, k_rowPtrs_);
// These normally get cleared out at the end of allocateIndices.
// It makes sense to clear them out here, because at the end of
// this method, the graph is allocated on the calling process.
numAllocForAllRows_ = 0;
k_numAllocPerRow_ = decltype (k_numAllocPerRow_) ();
checkInternalState ();
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
setAllIndices (const Teuchos::ArrayRCP<size_t>& rowPointers,
const Teuchos::ArrayRCP<LocalOrdinal>& columnIndices)
{
using Kokkos::View;
typedef typename local_graph_type::row_map_type row_map_type;
typedef typename row_map_type::array_layout layout_type;
typedef typename row_map_type::non_const_value_type row_offset_type;
typedef View<size_t*, layout_type , Kokkos::HostSpace,
Kokkos::MemoryUnmanaged> input_view_type;
typedef typename row_map_type::non_const_type nc_row_map_type;
const size_t size = static_cast<size_t> (rowPointers.size ());
const bool same = Kokkos::Impl::is_same<size_t, row_offset_type>::value;
input_view_type ptr_in (rowPointers.getRawPtr (), size);
nc_row_map_type ptr_rot ("Tpetra::CrsGraph::ptr", size);
if (same) { // size_t == row_offset_type
// This compile-time logic ensures that the compiler never sees
// an assignment of View<row_offset_type*, ...> to View<size_t*,
// ...> unless size_t == row_offset_type.
input_view_type ptr_decoy (rowPointers.getRawPtr (), size); // never used
Kokkos::deep_copy (Kokkos::Impl::if_c<same,
nc_row_map_type,
input_view_type>::select (ptr_rot, ptr_decoy),
ptr_in);
}
else { // size_t != row_offset_type
// CudaUvmSpace != HostSpace, so this will be false in that case.
const bool inHostMemory =
Kokkos::Impl::is_same<typename row_map_type::memory_space,
Kokkos::HostSpace>::value;
if (inHostMemory) {
// Copy (with cast from size_t to row_offset_type, with bounds
// checking if necessary) to ptr_rot.
::Tpetra::Details::copyOffsets (ptr_rot, ptr_in);
}
else { // Copy input row offsets to device first.
//
// FIXME (mfh 24 Mar 2015) If CUDA UVM, running in the host's
// execution space would avoid the double copy.
//
View<size_t*, layout_type ,execution_space > ptr_st ("Tpetra::CrsGraph::ptr", size);
Kokkos::deep_copy (ptr_st, ptr_in);
// Copy on device (casting from size_t to row_offset_type,
// with bounds checking if necessary) to ptr_rot. This
// executes in the output View's execution space, which is the
// same as execution_space.
::Tpetra::Details::copyOffsets (ptr_rot, ptr_st);
}
}
Kokkos::View<LocalOrdinal*, layout_type , execution_space > k_ind =
Kokkos::Compat::getKokkosViewDeepCopy<device_type> (columnIndices ());
setAllIndices (ptr_rot, k_ind);
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getNumEntriesPerLocalRowUpperBound (Teuchos::ArrayRCP<const size_t>& boundPerLocalRow,
size_t& boundForAllLocalRows,
bool& boundSameForAllLocalRows) const
{
// The three output arguments. We assign them to the actual
// output arguments at the end, in order to implement
// transactional semantics.
Teuchos::ArrayRCP<const size_t> numEntriesPerRow;
size_t numEntriesForAll = 0;
bool allRowsSame = true;
const ptrdiff_t numRows = static_cast<ptrdiff_t> (this->getNodeNumRows ());
if (! this->indicesAreAllocated ()) {
if (k_numAllocPerRow_.dimension_0 () != 0) {
// This is a shallow copy; the ArrayRCP wraps the View in a
// custom destructor, which ensures correct deallocation if
// that is the only reference to the View. Furthermore, this
// View is a host View, so this doesn't assume UVM.
numEntriesPerRow = Kokkos::Compat::persistingView (k_numAllocPerRow_);
allRowsSame = false; // conservatively; we don't check the array
}
else {
numEntriesForAll = numAllocForAllRows_;
allRowsSame = true;
}
}
else if (k_numRowEntries_.dimension_0 () != 0) {
// This is a shallow copy; the ArrayRCP wraps the View in a
// custom destructor, which ensures correct deallocation if that
// is the only reference to the View. Furthermore, this View is
// a host View, so this doesn't assume UVM.
numEntriesPerRow = Kokkos::Compat::persistingView (k_numRowEntries_);
allRowsSame = false; // conservatively; we don't check the array
}
else if (this->nodeNumAllocated_ == 0) {
numEntriesForAll = 0;
allRowsSame = true;
}
else {
// left with the case that we have optimized storage. in this
// case, we have to construct a list of row sizes.
TEUCHOS_TEST_FOR_EXCEPTION(
this->getProfileType () != StaticProfile, std::logic_error,
"Tpetra::CrsGraph::getNumEntriesPerRowUpperBound: "
"The graph is not StaticProfile, but storage appears to be optimized. "
"Please report this bug to the Tpetra developers.");
TEUCHOS_TEST_FOR_EXCEPTION(
numRows != 0 && k_rowPtrs_.dimension_0 () == 0, std::logic_error,
"Tpetra::CrsGraph::getNumEntriesPerRowUpperBound: "
"The graph has " << numRows << " (> 0) row" << (numRows != 1 ? "s" : "")
<< " on the calling process, but the k_rowPtrs_ array has zero entries. "
"Please report this bug to the Tpetra developers.");
Teuchos::ArrayRCP<size_t> numEnt;
if (numRows != 0) {
numEnt = Teuchos::arcp<size_t> (numRows);
}
// We have to iterate through the row offsets anyway, so we
// might as well check whether all rows' bounds are the same.
bool allRowsReallySame = false;
for (ptrdiff_t i = 0; i < numRows; ++i) {
numEnt[i] = k_rowPtrs_(i+1) - k_rowPtrs_(i);
if (i != 0 && numEnt[i] != numEnt[i-1]) {
allRowsReallySame = false;
}
}
if (allRowsReallySame) {
if (numRows == 0) {
numEntriesForAll = 0;
} else {
numEntriesForAll = numEnt[1] - numEnt[0];
}
allRowsSame = true;
}
else {
numEntriesPerRow = numEnt; // Teuchos::arcp_const_cast<const size_t> (numEnt);
allRowsSame = false; // conservatively; we don't check the array
}
}
TEUCHOS_TEST_FOR_EXCEPTION(
numEntriesForAll != 0 && numEntriesPerRow.size () != 0, std::logic_error,
"Tpetra::CrsGraph::getNumEntriesPerLocalRowUpperBound: "
"numEntriesForAll and numEntriesPerRow are not consistent. The former "
"is nonzero (" << numEntriesForAll << "), but the latter has nonzero "
"size " << numEntriesPerRow.size () << ". "
"Please report this bug to the Tpetra developers.");
TEUCHOS_TEST_FOR_EXCEPTION(
numEntriesForAll != 0 && ! allRowsSame, std::logic_error,
"Tpetra::CrsGraph::getNumEntriesPerLocalRowUpperBound: "
"numEntriesForAll and allRowsSame are not consistent. The former "
"is nonzero (" << numEntriesForAll << "), but the latter is false. "
"Please report this bug to the Tpetra developers.");
TEUCHOS_TEST_FOR_EXCEPTION(
numEntriesPerRow.size () != 0 && allRowsSame, std::logic_error,
"Tpetra::CrsGraph::getNumEntriesPerLocalRowUpperBound: "
"numEntriesPerRow and allRowsSame are not consistent. The former has "
"nonzero length " << numEntriesForAll << ", but the latter is true. "
"Please report this bug to the Tpetra developers.");
boundPerLocalRow = numEntriesPerRow;
boundForAllLocalRows = numEntriesForAll;
boundSameForAllLocalRows = allRowsSame;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
globalAssemble ()
{
using Teuchos::Comm;
using Teuchos::outArg;
using Teuchos::RCP;
using Teuchos::rcp;
using Teuchos::REDUCE_MAX;
using Teuchos::REDUCE_MIN;
using Teuchos::reduceAll;
typedef CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic> crs_graph_type;
typedef LocalOrdinal LO;
typedef GlobalOrdinal GO;
typedef typename Teuchos::Array<GO>::size_type size_type;
const char tfecfFuncName[] = "globalAssemble: "; // for exception macro
RCP<const Comm<int> > comm = getComm ();
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(! isFillActive (), std::runtime_error, "Fill must be active before "
"you may call this method.");
const size_t myNumNonlocalRows = nonlocals_.size ();
// If no processes have nonlocal rows, then we don't have to do
// anything. Checking this is probably cheaper than constructing
// the Map of nonlocal rows (see below) and noticing that it has
// zero global entries.
{
const int iHaveNonlocalRows = (myNumNonlocalRows == 0) ? 0 : 1;
int someoneHasNonlocalRows = 0;
reduceAll<int, int> (*comm, REDUCE_MAX, iHaveNonlocalRows,
outArg (someoneHasNonlocalRows));
if (someoneHasNonlocalRows == 0) {
return; // no process has nonlocal rows, so nothing to do
}
}
// 1. Create a list of the "nonlocal" rows on each process. this
// requires iterating over nonlocals_, so while we do this,
// deduplicate the entries and get a count for each nonlocal
// row on this process.
// 2. Construct a new row Map corresponding to those rows. This
// Map is likely overlapping. We know that the Map is not
// empty on all processes, because the above all-reduce and
// return exclude that case.
RCP<const map_type> nonlocalRowMap;
// Keep this for CrsGraph's constructor, so we can use StaticProfile.
Teuchos::ArrayRCP<size_t> numEntPerNonlocalRow (myNumNonlocalRows);
{
Teuchos::Array<GO> myNonlocalGblRows (myNumNonlocalRows);
size_type curPos = 0;
for (auto mapIter = nonlocals_.begin (); mapIter != nonlocals_.end ();
++mapIter, ++curPos) {
myNonlocalGblRows[curPos] = mapIter->first;
std::vector<GO>& gblCols = mapIter->second; // by ref; change in place
std::sort (gblCols.begin (), gblCols.end ());
auto vecLast = std::unique (gblCols.begin (), gblCols.end ());
gblCols.erase (vecLast, gblCols.end ());
numEntPerNonlocalRow[curPos] = gblCols.size ();
}
// Currently, Map requires that its indexBase be the global min
// of all its global indices. Map won't compute this for us, so
// we must do it. If our process has no nonlocal rows, set the
// "min" to the max possible GO value. This ensures that if
// some process has at least one nonlocal row, then it will pick
// that up as the min. We know that at least one process has a
// nonlocal row, since the all-reduce and return at the top of
// this method excluded that case.
GO myMinNonlocalGblRow = std::numeric_limits<GO>::max ();
{
auto iter = std::min_element (myNonlocalGblRows.begin (),
myNonlocalGblRows.end ());
if (iter != myNonlocalGblRows.end ()) {
myMinNonlocalGblRow = *iter;
}
}
GO gblMinNonlocalGblRow = 0;
reduceAll<int, GO> (*comm, REDUCE_MIN, myMinNonlocalGblRow,
outArg (gblMinNonlocalGblRow));
const GO indexBase = gblMinNonlocalGblRow;
const global_size_t INV = Teuchos::OrdinalTraits<global_size_t>::invalid ();
nonlocalRowMap = rcp (new map_type (INV, myNonlocalGblRows (), indexBase, comm));
}
// 3. Use the column indices for each nonlocal row, as stored in
// nonlocals_, to construct a CrsGraph corresponding to
// nonlocal rows. We may use StaticProfile, since we have
// exact counts of the number of entries in each nonlocal row.
RCP<crs_graph_type> nonlocalGraph =
rcp (new crs_graph_type (nonlocalRowMap, numEntPerNonlocalRow,
StaticProfile));
{
size_type curPos = 0;
for (auto mapIter = nonlocals_.begin (); mapIter != nonlocals_.end ();
++mapIter, ++curPos) {
const GO gblRow = mapIter->first;
std::vector<GO>& gblCols = mapIter->second; // by ref just to avoid copy
const LO numEnt = static_cast<LO> (numEntPerNonlocalRow[curPos]);
nonlocalGraph->insertGlobalIndices (gblRow, numEnt, gblCols.data ());
}
}
// There's no need to fill-complete the nonlocals graph.
// We just use it as a temporary container for the Export.
// 4. If the original row Map is one to one, then we can Export
// directly from nonlocalGraph into this. Otherwise, we have
// to create a temporary graph with a one-to-one row Map,
// Export into that, then Import from the temporary graph into
// *this.
auto origRowMap = this->getRowMap ();
const bool origRowMapIsOneToOne = origRowMap->isOneToOne ();
if (origRowMapIsOneToOne) {
export_type exportToOrig (nonlocalRowMap, origRowMap);
this->doExport (*nonlocalGraph, exportToOrig, Tpetra::INSERT);
// We're done at this point!
}
else {
// If you ask a Map whether it is one to one, it does some
// communication and stashes intermediate results for later use
// by createOneToOne. Thus, calling createOneToOne doesn't cost
// much more then the original cost of calling isOneToOne.
auto oneToOneRowMap = Tpetra::createOneToOne (origRowMap);
export_type exportToOneToOne (nonlocalRowMap, oneToOneRowMap);
// Create a temporary graph with the one-to-one row Map.
//
// TODO (mfh 09 Sep 2016) Estimate the number of entries in each
// row, to avoid reallocation during the Export operation.
crs_graph_type oneToOneGraph (oneToOneRowMap, 0);
// Export from graph of nonlocals into the temp one-to-one graph.
oneToOneGraph.doExport (*nonlocalGraph, exportToOneToOne, Tpetra::INSERT);
// We don't need the graph of nonlocals anymore, so get rid of
// it, to keep the memory high-water mark down.
nonlocalGraph = Teuchos::null;
// Import from the one-to-one graph to the original graph.
import_type importToOrig (oneToOneRowMap, origRowMap);
this->doImport (oneToOneGraph, importToOrig, Tpetra::INSERT);
}
// It's safe now to clear out nonlocals_, since we've already
// committed side effects to *this. The standard idiom for
// clearing a Container like std::map, is to swap it with an empty
// Container and let the swapped Container fall out of scope.
decltype (nonlocals_) newNonlocals;
std::swap (nonlocals_, newNonlocals);
checkInternalState ();
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
resumeFill (const Teuchos::RCP<Teuchos::ParameterList>& params)
{
const char tfecfFuncName[] = "resumeFill";
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(! hasRowInfo(), std::runtime_error,
": Sorry, you cannot resume fill of the CrsGraph, since the graph's row "
"information was deleted in fillComplete().");
#ifdef HAVE_TPETRA_DEBUG
Teuchos::barrier( *rowMap_->getComm() );
#endif // HAVE_TPETRA_DEBUG
clearGlobalConstants();
if (params != Teuchos::null) this->setParameterList (params);
lowerTriangular_ = false;
upperTriangular_ = false;
// either still sorted/merged or initially sorted/merged
indicesAreSorted_ = true;
noRedundancies_ = true;
fillComplete_ = false;
#ifdef HAVE_TPETRA_DEBUG
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
! isFillActive() || isFillComplete(), std::logic_error,
"::resumeFill(): At end of method, either fill is not active or fill is "
"complete. This violates stated post-conditions. Please report this bug "
"to the Tpetra developers.");
#endif // HAVE_TPETRA_DEBUG
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
fillComplete (const Teuchos::RCP<Teuchos::ParameterList>& params)
{
// If the graph already has domain and range Maps, don't clobber
// them. If it doesn't, use the current row Map for both the
// domain and range Maps.
//
// NOTE (mfh 28 Sep 2014): If the graph was constructed without a
// column Map, and column indices are inserted which are not in
// the row Map on any process, this will cause troubles. However,
// that is not a common case for most applications that we
// encounter, and checking for it might require more
// communication.
Teuchos::RCP<const map_type> domMap = this->getDomainMap ();
if (domMap.is_null ()) {
domMap = this->getRowMap ();
}
Teuchos::RCP<const map_type> ranMap = this->getRangeMap ();
if (ranMap.is_null ()) {
ranMap = this->getRowMap ();
}
this->fillComplete (domMap, ranMap, params);
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
fillComplete (const Teuchos::RCP<const map_type>& domainMap,
const Teuchos::RCP<const map_type>& rangeMap,
const Teuchos::RCP<Teuchos::ParameterList>& params)
{
const char tfecfFuncName[] = "fillComplete";
#ifdef HAVE_TPETRA_DEBUG
rowMap_->getComm ()->barrier ();
#endif // HAVE_TPETRA_DEBUG
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC( ! isFillActive() || isFillComplete(),
std::runtime_error, ": Graph fill state must be active (isFillActive() "
"must be true) before calling fillComplete().");
const int numProcs = getComm ()->getSize ();
//
// Read and set parameters
//
// Does the caller want to sort remote GIDs (within those owned by
// the same process) in makeColMap()?
if (! params.is_null ()) {
if (params->isParameter ("sort column map ghost gids")) {
sortGhostsAssociatedWithEachProcessor_ =
params->get<bool> ("sort column map ghost gids",
sortGhostsAssociatedWithEachProcessor_);
}
else if (params->isParameter ("Sort column Map ghost GIDs")) {
sortGhostsAssociatedWithEachProcessor_ =
params->get<bool> ("Sort column Map ghost GIDs",
sortGhostsAssociatedWithEachProcessor_);
}
}
// If true, the caller promises that no process did nonlocal
// changes since the last call to fillComplete.
bool assertNoNonlocalInserts = false;
if (! params.is_null ()) {
assertNoNonlocalInserts =
params->get<bool> ("No Nonlocal Changes", assertNoNonlocalInserts);
}
//
// Allocate indices, if they haven't already been allocated
//
if (! indicesAreAllocated ()) {
if (hasColMap ()) {
// We have a column Map, so use local indices.
allocateIndices (LocalIndices);
} else {
// We don't have a column Map, so use global indices.
allocateIndices (GlobalIndices);
}
}
//
// Do global assembly, if requested and if the communicator
// contains more than one process.
//
const bool mayNeedGlobalAssemble = ! assertNoNonlocalInserts && numProcs > 1;
if (mayNeedGlobalAssemble) {
// This first checks if we need to do global assembly.
// The check costs a single all-reduce.
globalAssemble ();
}
else {
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
numProcs > 1 && nonlocals_.size() > 0, std::runtime_error,
":" << std::endl << "The graph's communicator contains only one "
"process, but there are nonlocal entries. " << std::endl <<
"This probably means that invalid entries were added to the graph.");
}
// Set domain and range Map. This may clear the Import / Export
// objects if the new Maps differ from any old ones.
setDomainRangeMaps (domainMap, rangeMap);
// If the graph does not already have a column Map (either from
// the user constructor calling the version of the constructor
// that takes a column Map, or from a previous fillComplete call),
// then create it.
if (! hasColMap ()) {
makeColMap ();
}
// Make indices local, if they aren't already.
// The method doesn't do any work if the indices are already local.
makeIndicesLocal ();
if (! isSorted ()) {
// If this process has no indices, then CrsGraph considers it
// already trivially sorted. Thus, this method need not be
// called on all processes in the row Map's communicator.
sortAllIndices ();
}
if (! isMerged()) {
mergeAllIndices ();
}
makeImportExport (); // Make Import and Export objects, if necessary
computeGlobalConstants ();
fillLocalGraph (params);
fillComplete_ = true;
#ifdef HAVE_TPETRA_DEBUG
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
isFillActive() == true || isFillComplete() == false, std::logic_error,
": Violated stated post-conditions. Please contact Tpetra team.");
#endif
checkInternalState ();
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
expertStaticFillComplete (const Teuchos::RCP<const map_type>& domainMap,
const Teuchos::RCP<const map_type>& rangeMap,
const Teuchos::RCP<const import_type>& importer,
const Teuchos::RCP<const export_type>& exporter,
const Teuchos::RCP<Teuchos::ParameterList>& params)
{
const char tfecfFuncName[] = "expertStaticFillComplete: ";
#ifdef HAVE_TPETRA_MMM_TIMINGS
std::string label;
if(!params.is_null())
label = params->get("Timer Label",label);
std::string prefix = std::string("Tpetra ")+ label + std::string(": ");
using Teuchos::TimeMonitor;
Teuchos::RCP<Teuchos::TimeMonitor> MM = Teuchos::rcp(new TimeMonitor(*TimeMonitor::getNewTimer(prefix + std::string("ESFC-G-Setup"))));
#endif
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
domainMap.is_null () || rangeMap.is_null (),
std::runtime_error, "The input domain Map and range Map must be nonnull.");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
pftype_ != StaticProfile, std::runtime_error, "You may not call this "
"method unless the graph is StaticProfile.");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
isFillComplete () || ! hasColMap (), std::runtime_error, "You may not "
"call this method unless the graph has a column Map.");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
getNodeNumRows () > 0 && k_rowPtrs_.dimension_0 () == 0,
std::runtime_error, "The calling process has getNodeNumRows() = "
<< getNodeNumRows () << " > 0 rows, but the row offsets array has not "
"been set.");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
static_cast<size_t> (k_rowPtrs_.dimension_0 ()) != getNodeNumRows () + 1,
std::runtime_error, "The row offsets array has length " <<
k_rowPtrs_.dimension_0 () << " != getNodeNumRows()+1 = " <<
(getNodeNumRows () + 1) << ".");
// Note: We don't need to do the following things which are normally done in fillComplete:
// allocateIndices, globalAssemble, makeColMap, makeIndicesLocal, sortAllIndices, mergeAllIndices
// Note: Need to do this so computeGlobalConstants & fillLocalGraph work
//
// The first assignment is always true if the graph has 1-D
// storage (StaticProfile). The second assignment is only true if
// storage is packed.
nodeNumAllocated_ = k_rowPtrs_(getNodeNumRows ());
nodeNumEntries_ = nodeNumAllocated_;
// Constants from allocateIndices
//
// mfh 08 Aug 2014: numAllocForAllRows_ and k_numAllocPerRow_ go
// away once the graph is allocated. expertStaticFillComplete
// either presumes that the graph is allocated, or "allocates" it.
//
// FIXME (mfh 08 Aug 2014) The goal for the Kokkos refactor
// version of CrsGraph is to allocate in the constructor, not
// lazily on first insert. That will make both
// numAllocForAllRows_ and k_numAllocPerRow_ obsolete.
numAllocForAllRows_ = 0;
k_numAllocPerRow_ = decltype (k_numAllocPerRow_) ();
indicesAreAllocated_ = true;
// Constants from makeIndicesLocal
//
// The graph has a column Map, so its indices had better be local.
indicesAreLocal_ = true;
indicesAreGlobal_ = false;
// set domain/range map: may clear the import/export objects
#ifdef HAVE_TPETRA_MMM_TIMINGS
MM = Teuchos::rcp(new TimeMonitor(*TimeMonitor::getNewTimer(prefix + std::string("ESFC-G-Maps"))));
#endif
setDomainRangeMaps (domainMap, rangeMap);
// Presume the user sorted and merged the arrays first
indicesAreSorted_ = true;
noRedundancies_ = true;
// makeImportExport won't create a new importer/exporter if I set one here first.
#ifdef HAVE_TPETRA_MMM_TIMINGS
MM = Teuchos::rcp(new TimeMonitor(*TimeMonitor::getNewTimer(prefix + std::string("ESFC-G-mIXcheckI"))));
#endif
importer_ = Teuchos::null;
exporter_ = Teuchos::null;
if (importer != Teuchos::null) {
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
! importer->getSourceMap ()->isSameAs (*getDomainMap ()) ||
! importer->getTargetMap ()->isSameAs (*getColMap ()),
std::invalid_argument,": importer does not match matrix maps.");
importer_ = importer;
}
#ifdef HAVE_TPETRA_MMM_TIMINGS
MM = Teuchos::rcp(new TimeMonitor(*TimeMonitor::getNewTimer(prefix + std::string("ESFC-G-mIXcheckE"))));
#endif
if (exporter != Teuchos::null) {
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
! exporter->getSourceMap ()->isSameAs (*getRowMap ()) ||
! exporter->getTargetMap ()->isSameAs (*getRangeMap ()),
std::invalid_argument,": exporter does not match matrix maps.");
exporter_ = exporter;
}
#ifdef HAVE_TPETRA_MMM_TIMINGS
MM = Teuchos::rcp(new TimeMonitor(*TimeMonitor::getNewTimer(prefix + std::string("ESFC-G-mIXmake"))));
#endif
makeImportExport ();
// Compute the constants
#ifdef HAVE_TPETRA_MMM_TIMINGS
MM = Teuchos::rcp(new TimeMonitor(*TimeMonitor::getNewTimer(prefix + std::string("ESFC-G-cGC"))));
#endif
computeGlobalConstants ();
// Since we have a StaticProfile, fillLocalGraph will do the right thing...
#ifdef HAVE_TPETRA_MMM_TIMINGS
MM = Teuchos::rcp(new TimeMonitor(*TimeMonitor::getNewTimer(prefix + std::string("ESFC-G-fLG"))));
#endif
fillLocalGraph (params);
fillComplete_ = true;
#ifdef HAVE_TPETRA_MMM_TIMINGS
MM = Teuchos::rcp(new TimeMonitor(*TimeMonitor::getNewTimer(prefix + std::string("ESFC-G-cIS"))));
#endif
checkInternalState ();
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
fillLocalGraph (const Teuchos::RCP<Teuchos::ParameterList>& params)
{
using ::Tpetra::Details::computeOffsetsFromCounts;
using Kokkos::create_mirror_view;
typedef decltype (k_numRowEntries_) row_entries_type;
typedef typename local_graph_type::row_map_type row_map_type;
typedef typename row_map_type::non_const_type non_const_row_map_type;
typedef typename local_graph_type::entries_type::non_const_type lclinds_1d_type;
#ifdef HAVE_TPETRA_DEBUG
const char tfecfFuncName[] = "fillLocalGraph (called from fillComplete or "
"expertStaticFillComplete): ";
#endif // HAVE_TPETRA_DEBUG
const size_t lclNumRows = this->getNodeNumRows ();
// This method's goal is to fill in the two arrays (compressed
// sparse row format) that define the sparse graph's structure.
//
// Use the nonconst version of row_map_type for ptr_d, because
// the latter is const and we need to modify ptr_d here.
non_const_row_map_type ptr_d;
row_map_type ptr_d_const;
lclinds_1d_type ind_d;
bool requestOptimizedStorage = true;
if (! params.is_null () && ! params->get ("Optimize Storage", true)) {
requestOptimizedStorage = false;
}
if (getProfileType () == DynamicProfile) {
// Pack 2-D storage (DynamicProfile) into 1-D packed storage.
//
// DynamicProfile means that the graph's column indices are
// currently stored in a 2-D "unpacked" format, in the
// arrays-of-arrays lclInds2D_. We allocate 1-D storage
// (ind_d) and then copy from 2-D storage (lclInds2D_) into 1-D
// storage (ind_d).
#ifdef HAVE_TPETRA_DEBUG
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(static_cast<size_t> (k_numRowEntries_.dimension_0 ()) != lclNumRows,
std::logic_error, "(DynamicProfile branch) "
"k_numRowEntries_.dimension_0() = "
<< k_numRowEntries_.dimension_0 ()
<< " != getNodeNumRows() = " << lclNumRows << "");
#endif // HAVE_TPETRA_DEBUG
// Pack the row offsets into ptr_d, by doing a sum-scan of the
// array of valid entry counts per row (k_numRowEntries_). The
// pack method can handle its counts input being a host View.
//
// Total number of entries in the matrix on the calling
// process. We will compute this in the loop below. It's
// cheap to compute and useful as a sanity check.
size_t lclTotalNumEntries = 0;
{
// Allocate the packed row offsets array.
ptr_d = non_const_row_map_type ("Tpetra::CrsGraph::ptr", lclNumRows+1);
typename row_entries_type::const_type numRowEnt_h = k_numRowEntries_;
// This function can handle that numRowEnt_h lives on host.
lclTotalNumEntries = computeOffsetsFromCounts (ptr_d, numRowEnt_h);
ptr_d_const = ptr_d;
}
#ifdef HAVE_TPETRA_DEBUG
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(static_cast<size_t> (ptr_d.dimension_0 ()) != lclNumRows + 1,
std::logic_error, "(DynamicProfile branch) After packing ptr_d, "
"ptr_d.dimension_0() = " << ptr_d.dimension_0 () << " != "
"(lclNumRows+1) = " << (lclNumRows+1) << ".");
{
// mfh 26 Jun 2016: Don't assume UVM. ptr_d lives in device
// memory, so if we want to check its last entry on host, copy
// it back to host explicitly.
auto ptr_d_ent_d = Kokkos::subview (ptr_d, lclNumRows);
auto ptr_d_ent_h = create_mirror_view (ptr_d_ent_d);
Kokkos::deep_copy (ptr_d_ent_h, ptr_d_ent_d);
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(ptr_d_ent_h () != lclTotalNumEntries, std::logic_error,
"(DynamicProfile branch) After packing ptr_d, ptr_d(lclNumRows = "
<< lclNumRows << ") = " << ptr_d_ent_h () << " != total number of "
"entries on the calling process = " << lclTotalNumEntries << ".");
}
#endif // HAVE_TPETRA_DEBUG
// Allocate the array of packed column indices.
ind_d = lclinds_1d_type ("Tpetra::CrsGraph::ind", lclTotalNumEntries);
// Pack the column indices. We have to do this sequentially on
// host, since lclInds2D_ is an ArrayRCP<Array<LO>>, which
// doesn't work in parallel kernels (its iterators aren't even
// thread safe in debug mode).
{
auto ptr_h = create_mirror_view (ptr_d);
Kokkos::deep_copy (ptr_h, ptr_d); // we need the entries on host
auto ind_h = create_mirror_view (ind_d); // we'll fill this on host
// k_numRowEntries_ is a host View already, so we can use it here.
typename row_entries_type::const_type numRowEnt_h = k_numRowEntries_;
for (size_t row = 0; row < lclNumRows; ++row) {
const size_t numEnt = numRowEnt_h(row);
std::copy (lclInds2D_[row].begin (),
lclInds2D_[row].begin () + numEnt,
ind_h.ptr_on_device () + ptr_h(row));
}
Kokkos::deep_copy (ind_d, ind_h);
}
#ifdef HAVE_TPETRA_DEBUG
// Sanity check of packed row offsets.
if (ptr_d.dimension_0 () != 0) {
const size_t numOffsets = static_cast<size_t> (ptr_d.dimension_0 ());
// mfh 26 Jun 2016: Don't assume UVM. ptr_d lives in device
// memory, so if we want to check its last entry on host, copy
// it back to host explicitly.
auto ptr_d_ent_d = Kokkos::subview (ptr_d, numOffsets - 1);
auto ptr_d_ent_h = create_mirror_view (ptr_d_ent_d);
Kokkos::deep_copy (ptr_d_ent_h, ptr_d_ent_d);
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(static_cast<size_t> (ptr_d_ent_h ()) != ind_d.dimension_0 (),
std::logic_error, "(DynamicProfile branch) After packing column "
"indices, ptr_d(" << (numOffsets-1) << ") = " << ptr_d_ent_h ()
<< " != ind_d.dimension_0() = " << ind_d.dimension_0 () << ".");
}
#endif // HAVE_TPETRA_DEBUG
}
else if (getProfileType () == StaticProfile) {
// StaticProfile means that the graph's column indices are
// currently stored in a 1-D format, with row offsets in
// k_rowPtrs_ and local column indices in k_lclInds1D_.
#ifdef HAVE_TPETRA_DEBUG
// StaticProfile also means that the graph's array of row
// offsets must already be allocated.
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(k_rowPtrs_.dimension_0 () == 0, std::logic_error,
"(StaticProfile branch) k_rowPtrs_ has size zero, but shouldn't");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(k_rowPtrs_.dimension_0 () != lclNumRows + 1, std::logic_error,
"(StaticProfile branch) k_rowPtrs_.dimension_0() = "
<< k_rowPtrs_.dimension_0 () << " != (lclNumRows + 1) = "
<< (lclNumRows + 1) << ".");
{
const size_t numOffsets = k_rowPtrs_.dimension_0 ();
// mfh 26 Jun 2016: Don't assume UVM. k_rowPtrs_ lives in
// device memory, so if we want to check its last entry on
// host, copy it back to host explicitly.
auto k_rowPtrs_ent_d = Kokkos::subview (k_rowPtrs_, numOffsets - 1);
auto k_rowPtrs_ent_h = create_mirror_view (k_rowPtrs_ent_d);
Kokkos::deep_copy (k_rowPtrs_ent_h, k_rowPtrs_ent_d);
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(numOffsets != 0 &&
k_lclInds1D_.dimension_0 () != k_rowPtrs_ent_h (),
std::logic_error, "(StaticProfile branch) numOffsets = " <<
numOffsets << " != 0 and k_lclInds1D_.dimension_0() = " <<
k_lclInds1D_.dimension_0 () << " != k_rowPtrs_(" << numOffsets <<
") = " << k_rowPtrs_ent_h () << ".");
}
#endif // HAVE_TPETRA_DEBUG
if (nodeNumEntries_ != nodeNumAllocated_) {
// The graph's current 1-D storage is "unpacked." This means
// the row offsets may differ from what the final row offsets
// should be. This could happen, for example, if the user
// specified StaticProfile in the constructor and set an upper
// bound on the number of entries in each row, but didn't fill
// all those entries.
#ifdef HAVE_TPETRA_DEBUG
if (k_rowPtrs_.dimension_0 () != 0) {
const size_t numOffsets =
static_cast<size_t> (k_rowPtrs_.dimension_0 ());
// mfh 26 Jun 2016: Don't assume UVM. k_rowPtrs_ lives in
// device memory, so if we want to check its last entry on
// host, copy it back to host explicitly.
auto k_rowPtrs_ent_d = Kokkos::subview (k_rowPtrs_, numOffsets - 1);
auto k_rowPtrs_ent_h = create_mirror_view (k_rowPtrs_ent_d);
Kokkos::deep_copy (k_rowPtrs_ent_h, k_rowPtrs_ent_d);
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(k_rowPtrs_ent_h () != static_cast<size_t> (k_lclInds1D_.dimension_0 ()),
std::logic_error, "(StaticProfile unpacked branch) Before "
"allocating or packing, k_rowPtrs_(" << (numOffsets-1) << ") = "
<< k_rowPtrs_ent_h () << " != k_lclInds1D_.dimension_0() = "
<< k_lclInds1D_.dimension_0 () << ".");
}
#endif // HAVE_TPETRA_DEBUG
// Pack the row offsets into ptr_d, by doing a sum-scan of the
// array of valid entry counts per row (k_numRowEntries_).
// Total number of entries in the matrix on the calling
// process. We will compute this in the loop below. It's
// cheap to compute and useful as a sanity check.
size_t lclTotalNumEntries = 0;
{
// Allocate the packed row offsets array.
ptr_d = non_const_row_map_type ("Tpetra::CrsGraph::ptr", lclNumRows + 1);
ptr_d_const = ptr_d;
// It's ok that k_numRowEntries_ is a host View; the
// function can handle this.
typename row_entries_type::const_type numRowEnt_h = k_numRowEntries_;
#ifdef HAVE_TPETRA_DEBUG
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(static_cast<size_t> (numRowEnt_h.dimension_0 ()) != lclNumRows,
std::logic_error, "(StaticProfile unpacked branch) "
"numRowEnt_h.dimension_0() = " << numRowEnt_h.dimension_0 ()
<< " != getNodeNumRows() = " << lclNumRows << "");
#endif // HAVE_TPETRA_DEBUG
lclTotalNumEntries = computeOffsetsFromCounts (ptr_d, numRowEnt_h);
#ifdef HAVE_TPETRA_DEBUG
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(static_cast<size_t> (ptr_d.dimension_0 ()) != lclNumRows + 1,
std::logic_error, "(StaticProfile unpacked branch) After "
"allocating ptr_d, ptr_d.dimension_0() = " << ptr_d.dimension_0 ()
<< " != lclNumRows+1 = " << (lclNumRows+1) << ".");
{
// mfh 26 Jun 2016: Don't assume UVM. ptr_d lives in device
// memory, so if we want to check its last entry on host, copy
// it back to host explicitly.
auto ptr_d_ent_d = Kokkos::subview (ptr_d, lclNumRows);
auto ptr_d_ent_h = create_mirror_view (ptr_d_ent_d);
Kokkos::deep_copy (ptr_d_ent_h, ptr_d_ent_d);
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(ptr_d_ent_h () != lclTotalNumEntries, std::logic_error,
"Tpetra::CrsGraph::fillLocalGraph: In StaticProfile unpacked "
"branch, after filling ptr_d, ptr_d(lclNumRows=" << lclNumRows
<< ") = " << ptr_d_ent_h () << " != total number of entries on "
"the calling process = " << lclTotalNumEntries << ".");
}
#endif // HAVE_TPETRA_DEBUG
}
// Allocate the array of packed column indices.
ind_d = lclinds_1d_type ("Tpetra::CrsGraph::ind", lclTotalNumEntries);
// k_rowPtrs_ and k_lclInds1D_ are currently unpacked. Pack
// them, using the packed row offsets array ptr_d that we
// created above.
//
// FIXME (mfh 08 Aug 2014) If "Optimize Storage" is false (in
// CrsMatrix?), we need to keep around the unpacked row
// offsets and column indices.
// Pack the column indices from unpacked k_lclInds1D_ into
// packed ind_d. We will replace k_lclInds1D_ below.
typedef pack_functor<
typename local_graph_type::entries_type::non_const_type,
row_map_type> inds_packer_type;
inds_packer_type f (ind_d, k_lclInds1D_, ptr_d, k_rowPtrs_);
Kokkos::parallel_for (lclNumRows, f);
#ifdef HAVE_TPETRA_DEBUG
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(ptr_d.dimension_0 () == 0, std::logic_error, "(StaticProfile "
"\"Optimize Storage\"=true branch) After packing, "
"ptr_d.dimension_0() = 0. This probably means k_rowPtrs_ was "
"never allocated.");
if (ptr_d.dimension_0 () != 0) {
const size_t numOffsets = static_cast<size_t> (ptr_d.dimension_0 ());
// mfh 26 Jun 2016: Don't assume UVM. ptr_d lives in device
// memory, so if we want to check its last entry on host, copy
// it back to host explicitly.
auto ptr_d_ent_d = Kokkos::subview (ptr_d, numOffsets - 1);
auto ptr_d_ent_h = create_mirror_view (ptr_d_ent_d);
Kokkos::deep_copy (ptr_d_ent_h, ptr_d_ent_d);
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(static_cast<size_t> (ptr_d_ent_h ()) != ind_d.dimension_0 (),
std::logic_error, "(StaticProfile \"Optimize Storage\"=true "
"branch) After packing, ptr_d(" << (numOffsets-1) << ") = " <<
ptr_d_ent_h () << " != ind_d.dimension_0() = " <<
ind_d.dimension_0 () << ".");
}
#endif // HAVE_TPETRA_DEBUG
}
else { // We don't have to pack, so just set the pointers.
ptr_d_const = k_rowPtrs_;
ind_d = k_lclInds1D_;
#ifdef HAVE_TPETRA_DEBUG
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(ptr_d_const.dimension_0 () == 0, std::logic_error, "(StaticProfile "
"\"Optimize Storage\"=false branch) ptr_d_const.dimension_0() = 0. "
"This probably means that k_rowPtrs_ was never allocated.");
if (ptr_d_const.dimension_0 () != 0) {
const size_t numOffsets =
static_cast<size_t> (ptr_d_const.dimension_0 ());
// mfh 26 Jun 2016: Don't assume UVM. ptr_d_const lives in
// device memory, so if we want to check its last entry on
// host, copy it back to host explicitly.
auto ptr_d_const_ent_d = Kokkos::subview (ptr_d_const, numOffsets - 1);
auto ptr_d_const_ent_h = create_mirror_view (ptr_d_const_ent_d);
Kokkos::deep_copy (ptr_d_const_ent_h, ptr_d_const_ent_d);
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(static_cast<size_t> (ptr_d_const_ent_h ()) != ind_d.dimension_0 (),
std::logic_error, "(StaticProfile \"Optimize Storage\"=false "
"branch) ptr_d_const(" << (numOffsets-1) << ") = " <<
ptr_d_const_ent_h () << " != ind_d.dimension_0() = " <<
ind_d.dimension_0 () << ".");
}
#endif // HAVE_TPETRA_DEBUG
}
}
#ifdef HAVE_TPETRA_DEBUG
// Extra sanity checks.
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(static_cast<size_t> (ptr_d_const.dimension_0 ()) != lclNumRows + 1,
std::logic_error, "After packing, ptr_d_const.dimension_0() = " <<
ptr_d_const.dimension_0 () << " != lclNumRows+1 = " << (lclNumRows+1)
<< ".");
if (ptr_d_const.dimension_0 () != 0) {
const size_t numOffsets = static_cast<size_t> (ptr_d_const.dimension_0 ());
// mfh 26 Jun 2016: Don't assume UVM. ptr_d_const lives in
// device memory, so if we want to check its last entry on
// host, copy it back to host explicitly.
auto ptr_d_const_ent_d = Kokkos::subview (ptr_d_const, numOffsets - 1);
auto ptr_d_const_ent_h = create_mirror_view (ptr_d_const_ent_d);
Kokkos::deep_copy (ptr_d_const_ent_h, ptr_d_const_ent_d);
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(static_cast<size_t> (ptr_d_const_ent_h ()) != ind_d.dimension_0 (),
std::logic_error, "After packing, ptr_d_const(" << (numOffsets-1) <<
") = " << ptr_d_const_ent_h () << " != ind_d.dimension_0() = " <<
ind_d.dimension_0 () << ".");
}
#endif // HAVE_TPETRA_DEBUG
if (requestOptimizedStorage) {
// With optimized storage, we don't need to store the 2-D column
// indices array-of-arrays, or the array of row entry counts.
// Free graph data structures that are only needed for 2-D or
// unpacked 1-D storage.
lclInds2D_ = Teuchos::null;
k_numRowEntries_ = row_entries_type ();
// Keep the new 1-D packed allocations.
k_rowPtrs_ = ptr_d_const;
k_lclInds1D_ = ind_d;
// Storage is packed now, so the number of allocated entries is
// the same as the actual number of entries.
nodeNumAllocated_ = nodeNumEntries_;
// The graph is definitely StaticProfile now, whether or not it
// was before.
pftype_ = StaticProfile;
}
// FIXME (mfh 28 Aug 2014) "Local Graph" sublist no longer used.
// Build the local graph.
lclGraph_ = local_graph_type (ind_d, ptr_d_const);
// TODO (mfh 13 Mar 2014) getNodeNumDiags(), isUpperTriangular(),
// and isLowerTriangular() depend on computeGlobalConstants(), in
// particular the part where it looks at the local matrix. You
// have to use global indices to determine which entries are
// diagonal, or above or below the diagonal. However, lower or
// upper triangularness is a local property.
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
replaceColMap (const Teuchos::RCP<const map_type>& newColMap)
{
// NOTE: This safety check matches the code, but not the documentation of Crsgraph
//
// FIXME (mfh 18 Aug 2014) This will break if the calling process
// has no entries, because in that case, currently it is neither
// locally nor globally indexed. This will change once we get rid
// of lazy allocation (so that the constructor allocates indices
// and therefore commits to local vs. global).
const char tfecfFuncName[] = "replaceColMap: ";
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
isLocallyIndexed () || isGloballyIndexed (), std::runtime_error,
"Requires matching maps and non-static graph.");
colMap_ = newColMap;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
reindexColumns (const Teuchos::RCP<const map_type>& newColMap,
const Teuchos::RCP<const import_type>& newImport,
const bool sortIndicesInEachRow)
{
using Teuchos::REDUCE_MIN;
using Teuchos::reduceAll;
using Teuchos::RCP;
typedef GlobalOrdinal GO;
typedef LocalOrdinal LO;
typedef typename local_graph_type::entries_type::non_const_type col_inds_type;
const char tfecfFuncName[] = "reindexColumns: ";
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
isFillComplete (), std::runtime_error, "The graph is fill complete "
"(isFillComplete() returns true). You must call resumeFill() before "
"you may call this method.");
// mfh 19 Aug 2014: This method does NOT redistribute data; it
// doesn't claim to do the work of an Import or Export. This
// means that for all processes, the calling process MUST own all
// column indices, in both the old column Map (if it exists) and
// the new column Map. We check this via an all-reduce.
//
// Some processes may be globally indexed, others may be locally
// indexed, and others (that have no graph entries) may be
// neither. This method will NOT change the graph's current
// state. If it's locally indexed, it will stay that way, and
// vice versa. It would easy to add an option to convert indices
// from global to local, so as to save a global-to-local
// conversion pass. However, we don't do this here. The intended
// typical use case is that the graph already has a column Map and
// is locally indexed, and this is the case for which we optimize.
const LO lclNumRows = static_cast<LO> (this->getNodeNumRows ());
// Attempt to convert indices to the new column Map's version of
// local. This will fail if on the calling process, the graph has
// indices that are not on that process in the new column Map.
// After the local conversion attempt, we will do an all-reduce to
// see if any processes failed.
// If this is false, then either the graph contains a column index
// which is invalid in the CURRENT column Map, or the graph is
// locally indexed but currently has no column Map. In either
// case, there is no way to convert the current local indices into
// global indices, so that we can convert them into the new column
// Map's local indices. It's possible for this to be true on some
// processes but not others, due to replaceColMap.
bool allCurColIndsValid = true;
// On the calling process, are all valid current column indices
// also in the new column Map on the calling process? In other
// words, does local reindexing suffice, or should the user have
// done an Import or Export instead?
bool localSuffices = true;
// Final arrays for the local indices. We will allocate exactly
// one of these ONLY if the graph is locally indexed on the
// calling process, and ONLY if the graph has one or more entries
// (is not empty) on the calling process. In that case, we
// allocate the first (1-D storage) if the graph has a static
// profile, else we allocate the second (2-D storage).
typename local_graph_type::entries_type::non_const_type newLclInds1D;
Teuchos::ArrayRCP<Teuchos::Array<LO> > newLclInds2D;
// If indices aren't allocated, that means the calling process
// owns no entries in the graph. Thus, there is nothing to
// convert, and it trivially succeeds locally.
if (indicesAreAllocated ()) {
if (isLocallyIndexed ()) {
if (hasColMap ()) { // locally indexed, and currently has a column Map
const map_type& oldColMap = * (getColMap ());
if (pftype_ == StaticProfile) {
// Allocate storage for the new local indices.
RCP<node_type> node = getRowMap ()->getNode ();
newLclInds1D =
col_inds_type ("Tpetra::CrsGraph::ind", nodeNumAllocated_);
// Attempt to convert the new indices locally.
for (LO lclRow = 0; lclRow < lclNumRows; ++lclRow) {
const RowInfo rowInfo = this->getRowInfo (lclRow);
const size_t beg = rowInfo.offset1D;
const size_t end = beg + rowInfo.numEntries;
for (size_t k = beg; k < end; ++k) {
// FIXME (mfh 21 Aug 2014) This assumes UVM. Should
// use a DualView instead.
const LO oldLclCol = k_lclInds1D_(k);
if (oldLclCol == Teuchos::OrdinalTraits<LO>::invalid ()) {
allCurColIndsValid = false;
break; // Stop at the first invalid index
}
const GO gblCol = oldColMap.getGlobalElement (oldLclCol);
// The above conversion MUST succeed. Otherwise, the
// current local index is invalid, which means that
// the graph was constructed incorrectly.
if (gblCol == Teuchos::OrdinalTraits<GO>::invalid ()) {
allCurColIndsValid = false;
break; // Stop at the first invalid index
}
else {
const LO newLclCol = newColMap->getLocalElement (gblCol);
if (newLclCol == Teuchos::OrdinalTraits<LO>::invalid ()) {
localSuffices = false;
break; // Stop at the first invalid index
}
// FIXME (mfh 21 Aug 2014) This assumes UVM. Should
// use a DualView instead.
newLclInds1D(k) = newLclCol;
}
} // for each entry in the current row
} // for each locally owned row
}
else { // pftype_ == DynamicProfile
// Allocate storage for the new local indices. We only
// allocate the outer array here; we will allocate the
// inner arrays below.
newLclInds2D = Teuchos::arcp<Teuchos::Array<LO> > (lclNumRows);
// Attempt to convert the new indices locally.
for (LO lclRow = 0; lclRow < lclNumRows; ++lclRow) {
const RowInfo rowInfo = this->getRowInfo (lclRow);
newLclInds2D.resize (rowInfo.allocSize);
Teuchos::ArrayView<const LO> oldLclRowView = getLocalView (rowInfo);
Teuchos::ArrayView<LO> newLclRowView = (newLclInds2D[lclRow]) ();
for (size_t k = 0; k < rowInfo.numEntries; ++k) {
const LO oldLclCol = oldLclRowView[k];
if (oldLclCol == Teuchos::OrdinalTraits<LO>::invalid ()) {
allCurColIndsValid = false;
break; // Stop at the first invalid index
}
const GO gblCol = oldColMap.getGlobalElement (oldLclCol);
// The above conversion MUST succeed. Otherwise, the
// local index is invalid and the graph is wrong.
if (gblCol == Teuchos::OrdinalTraits<GO>::invalid ()) {
allCurColIndsValid = false;
break; // Stop at the first invalid index
}
else {
const LO newLclCol = newColMap->getLocalElement (gblCol);
if (newLclCol == Teuchos::OrdinalTraits<LO>::invalid ()) {
localSuffices = false;
break; // Stop at the first invalid index.
}
newLclRowView[k] = newLclCol;
}
} // for each entry in the current row
} // for each locally owned row
} // pftype_
}
else { // locally indexed, but no column Map
// This case is only possible if replaceColMap() was called
// with a null argument on the calling process. It's
// possible, but it means that this method can't possibly
// succeed, since we have no way of knowing how to convert
// the current local indices to global indices.
allCurColIndsValid = false;
}
}
else { // globally indexed
// If the graph is globally indexed, we don't need to save
// local indices, but we _do_ need to know whether the current
// global indices are valid in the new column Map. We may
// need to do a getRemoteIndexList call to find this out.
//
// In this case, it doesn't matter whether the graph currently
// has a column Map. We don't need the old column Map to
// convert from global indices to the _new_ column Map's local
// indices. Furthermore, we can use the same code, whether
// the graph is static or dynamic profile.
// Test whether the current global indices are in the new
// column Map on the calling process.
for (LO lclRow = 0; lclRow < lclNumRows; ++lclRow) {
const RowInfo rowInfo = this->getRowInfo (lclRow);
Teuchos::ArrayView<const GO> oldGblRowView = getGlobalView (rowInfo);
for (size_t k = 0; k < rowInfo.numEntries; ++k) {
const GO gblCol = oldGblRowView[k];
if (! newColMap->isNodeGlobalElement (gblCol)) {
localSuffices = false;
break; // Stop at the first invalid index
}
} // for each entry in the current row
} // for each locally owned row
} // locally or globally indexed
} // whether indices are allocated
// Do an all-reduce to check both possible error conditions.
int lclSuccess[2];
lclSuccess[0] = allCurColIndsValid ? 1 : 0;
lclSuccess[1] = localSuffices ? 1 : 0;
int gblSuccess[2];
gblSuccess[0] = 0;
gblSuccess[1] = 0;
RCP<const Teuchos::Comm<int> > comm =
getRowMap ().is_null () ? Teuchos::null : getRowMap ()->getComm ();
if (! comm.is_null ()) {
reduceAll<int, int> (*comm, REDUCE_MIN, 2, lclSuccess, gblSuccess);
}
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
gblSuccess[0] == 0, std::runtime_error, "It is not possible to continue."
" The most likely reason is that the graph is locally indexed, but the "
"column Map is missing (null) on some processes, due to a previous call "
"to replaceColMap().");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
gblSuccess[1] == 0, std::runtime_error, "On some process, the graph "
"contains column indices that are in the old column Map, but not in the "
"new column Map (on that process). This method does NOT redistribute "
"data; it does not claim to do the work of an Import or Export operation."
" This means that for all processess, the calling process MUST own all "
"column indices, in both the old column Map and the new column Map. In "
"this case, you will need to do an Import or Export operation to "
"redistribute data.");
// Commit the results.
if (isLocallyIndexed ()) {
if (pftype_ == StaticProfile) {
k_lclInds1D_ = newLclInds1D;
} else { // dynamic profile
lclInds2D_ = newLclInds2D;
}
// We've reindexed, so we don't know if the indices are sorted.
//
// FIXME (mfh 17 Sep 2014) It could make sense to check this,
// since we're already going through all the indices above. We
// could also sort each row in place; that way, we would only
// have to make one pass over the rows.
indicesAreSorted_ = false;
if (sortIndicesInEachRow) {
// NOTE (mfh 17 Sep 2014) The graph must be locally indexed in
// order to call this method.
//
// FIXME (mfh 17 Sep 2014) This violates the strong exception
// guarantee. It would be better to sort the new index arrays
// before committing them.
sortAllIndices ();
}
}
colMap_ = newColMap;
if (newImport.is_null ()) {
// FIXME (mfh 19 Aug 2014) Should use the above all-reduce to
// check whether the input Import is null on any process.
//
// If the domain Map hasn't been set yet, we can't compute a new
// Import object. Leave it what it is; it should be null, but
// it doesn't matter. If the domain Map _has_ been set, then
// compute a new Import object if necessary.
if (! domainMap_.is_null ()) {
if (! domainMap_->isSameAs (* newColMap)) {
importer_ = Teuchos::rcp (new import_type (domainMap_, newColMap));
} else {
importer_ = Teuchos::null; // don't need an Import
}
}
} else {
// The caller gave us an Import object. Assume that it's valid.
importer_ = newImport;
}
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
replaceDomainMapAndImporter (const Teuchos::RCP<const map_type>& newDomainMap,
const Teuchos::RCP<const import_type>& newImporter)
{
const char prefix[] = "Tpetra::CrsGraph::replaceDomainMapAndImporter: ";
TEUCHOS_TEST_FOR_EXCEPTION(
colMap_.is_null (), std::invalid_argument, prefix << "You may not call "
"this method unless the graph already has a column Map.");
TEUCHOS_TEST_FOR_EXCEPTION(
newDomainMap.is_null (), std::invalid_argument,
prefix << "The new domain Map must be nonnull.");
#ifdef HAVE_TPETRA_DEBUG
if (newImporter.is_null ()) {
// It's not a good idea to put expensive operations in a macro
// clause, even if they are side effect - free, because macros
// don't promise that they won't evaluate their arguments more
// than once. It's polite for them to do so, but not required.
const bool colSameAsDom = colMap_->isSameAs (*newDomainMap);
TEUCHOS_TEST_FOR_EXCEPTION(
colSameAsDom, std::invalid_argument, "If the new Import is null, "
"then the new domain Map must be the same as the current column Map.");
}
else {
const bool colSameAsTgt =
colMap_->isSameAs (* (newImporter->getTargetMap ()));
const bool newDomSameAsSrc =
newDomainMap->isSameAs (* (newImporter->getSourceMap ()));
TEUCHOS_TEST_FOR_EXCEPTION(
! colSameAsTgt || ! newDomSameAsSrc, std::invalid_argument, "If the "
"new Import is nonnull, then the current column Map must be the same "
"as the new Import's target Map, and the new domain Map must be the "
"same as the new Import's source Map.");
}
#endif // HAVE_TPETRA_DEBUG
domainMap_ = newDomainMap;
importer_ = Teuchos::rcp_const_cast<import_type> (newImporter);
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
typename CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::local_graph_type
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getLocalGraph () const
{
return lclGraph_;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
computeGlobalConstants ()
{
using Teuchos::ArrayView;
using Teuchos::outArg;
using Teuchos::reduceAll;
typedef LocalOrdinal LO;
typedef GlobalOrdinal GO;
typedef global_size_t GST;
#ifdef HAVE_TPETRA_DEBUG
TEUCHOS_TEST_FOR_EXCEPTION(! hasColMap(), std::logic_error, "Tpetra::"
"CrsGraph::computeGlobalConstants: At this point, the graph should have "
"a column Map, but it does not. Please report this bug to the Tpetra "
"developers.");
#endif // HAVE_TPETRA_DEBUG
// If necessary, (re)compute the local constants: nodeNumDiags_,
// lowerTriangular_, upperTriangular_, and nodeMaxNumRowEntries_.
if (! haveLocalConstants_) {
// We have actually already computed nodeNumEntries_.
// nodeNumEntries_ gets updated by methods that insert or remove
// indices (including setAllIndices and
// expertStaticFillComplete). Before fillComplete, its count
// may include duplicate column indices in the same row.
// However, mergeRowIndices and mergeRowIndicesAndValues both
// subtract off merged indices in each row from the total count.
// Thus, nodeNumEntries_ _should_ be accurate at this point,
// meaning that we don't have to re-count it here.
// Reset local properties
upperTriangular_ = true;
lowerTriangular_ = true;
nodeMaxNumRowEntries_ = 0;
nodeNumDiags_ = 0;
// At this point, we know that we have both a row Map and a column Map.
const map_type& rowMap = *rowMap_;
const map_type& colMap = *colMap_;
// Go through all the entries of the graph. Count the number of
// diagonal elements we encounter, and figure out whether the
// graph is lower or upper triangular. Diagonal elements are
// determined using global indices, with respect to the whole
// graph. However, lower or upper triangularity is a local
// property, and is determined using local indices.
//
// At this point, indices have already been sorted in each row.
// That makes finding out whether the graph is lower / upper
// triangular easier.
if (indicesAreAllocated () && nodeNumAllocated_ > 0) {
const LO numLocalRows = static_cast<LO> (this->getNodeNumRows ());
for (LO localRow = 0; localRow < numLocalRows; ++localRow) {
const GO globalRow = rowMap.getGlobalElement (localRow);
// Find the local (column) index for the diagonal entry.
// This process might not necessarily own _any_ entries in
// the current row. If it doesn't, skip this row. It won't
// affect any of the attributes (nodeNumDiagons_,
// upperTriangular_, lowerTriangular_, or
// nodeMaxNumRowEntries_) which this loop sets.
const LO rlcid = colMap.getLocalElement (globalRow);
// This process owns one or more entries in the current row.
const RowInfo rowInfo = this->getRowInfo (localRow);
ArrayView<const LO> rview = getLocalView (rowInfo);
typename ArrayView<const LO>::iterator beg, end, cur;
beg = rview.begin();
end = beg + rowInfo.numEntries;
if (beg != end) {
for (cur = beg; cur != end; ++cur) {
// is this the diagonal?
if (rlcid == *cur) ++nodeNumDiags_;
}
// Local column indices are sorted in each row. That means
// the smallest column index in this row (on this process)
// is *beg, and the largest column index in this row (on
// this process) is *(end - 1). We know that end - 1 is
// valid because beg != end.
const size_t smallestCol = static_cast<size_t> (*beg);
const size_t largestCol = static_cast<size_t> (*(end - 1));
if (smallestCol < static_cast<size_t> (localRow)) {
upperTriangular_ = false;
}
if (static_cast<size_t> (localRow) < largestCol) {
lowerTriangular_ = false;
}
}
// Update the max number of entries over all rows.
nodeMaxNumRowEntries_ = std::max (nodeMaxNumRowEntries_, rowInfo.numEntries);
}
}
haveLocalConstants_ = true;
} // if my process doesn't have local constants
// Compute global constants from local constants. Processes that
// already have local constants still participate in the
// all-reduces, using their previously computed values.
if (haveGlobalConstants_ == false) {
// Promote all the nodeNum* and nodeMaxNum* quantities from
// size_t to global_size_t, when doing the all-reduces for
// globalNum* / globalMaxNum* results.
//
// FIXME (mfh 07 May 2013) Unfortunately, we either have to do
// this in two all-reduces (one for the sum and the other for
// the max), or use a custom MPI_Op that combines the sum and
// the max. The latter might even be slower than two
// all-reduces on modern network hardware. It would also be a
// good idea to use nonblocking all-reduces (MPI 3), so that we
// don't have to wait around for the first one to finish before
// starting the second one.
GST lcl[2], gbl[2];
lcl[0] = static_cast<GST> (nodeNumEntries_);
lcl[1] = static_cast<GST> (nodeNumDiags_);
reduceAll<int,GST> (*getComm (), Teuchos::REDUCE_SUM,
2, lcl, gbl);
globalNumEntries_ = gbl[0];
globalNumDiags_ = gbl[1];
reduceAll<int,GST> (*getComm (), Teuchos::REDUCE_MAX,
static_cast<GST> (nodeMaxNumRowEntries_),
outArg (globalMaxNumRowEntries_));
haveGlobalConstants_ = true;
}
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
makeIndicesLocal ()
{
using Teuchos::arcp;
using Teuchos::Array;
typedef LocalOrdinal LO;
typedef GlobalOrdinal GO;
typedef device_type DT;
typedef typename local_graph_type::row_map_type::non_const_value_type offset_type;
typedef decltype (k_numRowEntries_) row_entries_type;
typedef typename row_entries_type::non_const_value_type num_ent_type;
typedef typename local_graph_type::entries_type::non_const_type
lcl_col_inds_type;
typedef Kokkos::View<GO*, typename lcl_col_inds_type::array_layout,
device_type> gbl_col_inds_type;
const char tfecfFuncName[] = "makeIndicesLocal: ";
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(! this->hasColMap (), std::logic_error, "The graph does not have a "
"column Map yet. This method should never be called in that case. "
"Please report this bug to the Tpetra developers.");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(this->getColMap ().is_null (), std::logic_error, "The graph claims "
"that it has a column Map, because hasColMap() returns true. However, "
"the result of getColMap() is null. This should never happen. Please "
"report this bug to the Tpetra developers.");
const LO lclNumRows = static_cast<LO> (this->getNodeNumRows ());
const map_type& colMap = * (this->getColMap ());
if (isGloballyIndexed () && lclNumRows != 0) {
// This is a host View.
typename row_entries_type::const_type h_numRowEnt = k_numRowEntries_;
// allocate data for local indices
if (getProfileType () == StaticProfile) {
// If GO and LO are the same size, we can reuse the existing
// array of 1-D index storage to convert column indices from
// GO to LO. Otherwise, we'll just allocate a new buffer.
constexpr bool LO_GO_same = std::is_same<LO, GO>::value;
if (nodeNumAllocated_ && LO_GO_same) {
// This prevents a build error (illegal assignment) if
// LO_GO_same is _not_ true.
k_lclInds1D_ = Kokkos::Impl::if_c<LO_GO_same,
t_GlobalOrdinal_1D,
lcl_col_inds_type>::select (k_gblInds1D_, k_lclInds1D_);
}
else {
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(k_rowPtrs_.dimension_0 () == 0, std::logic_error,
"k_rowPtrs_.dimension_0() == 0. This should never happen at this "
"point. Please report this bug to the Tpetra developers.");
// Don't assume UVM. Get a ("0-D") View of the last entry
// of k_rowPtrs_, get its host mirror View, and use that to
// get the number of entries.
auto lastEnt_d = Kokkos::subview (k_rowPtrs_, lclNumRows);
auto lastEnt_h = Kokkos::create_mirror_view (lastEnt_d);
Kokkos::deep_copy (lastEnt_h, lastEnt_d);
const auto numEnt = lastEnt_h ();
k_lclInds1D_ = lcl_col_inds_type ("Tpetra::CrsGraph::lclind", numEnt);
}
auto lclColMap = colMap.getLocalMap ();
// This is a "device mirror" of the host View h_numRowEnt.
//
// NOTE (mfh 27 Sep 2016) Currently, the right way to get a
// Device instance is to use its default constructor. See the
// following Kokkos issue:
//
// https://github.com/kokkos/kokkos/issues/442
auto k_numRowEnt = Kokkos::create_mirror_view (device_type (), h_numRowEnt);
using Details::convertColumnIndicesFromGlobalToLocal;
const size_t numBad =
convertColumnIndicesFromGlobalToLocal<LO, GO, DT, offset_type, num_ent_type> (k_lclInds1D_,
k_gblInds1D_,
k_rowPtrs_,
lclColMap,
k_numRowEnt);
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(numBad != 0, std::runtime_error, "When converting column indices "
"from global to local, we encountered " << numBad
<< "ind" << (numBad != static_cast<size_t> (1) ? "ices" : "ex")
<< " that do" << (numBad != static_cast<size_t> (1) ? "es" : "")
<< " not live in the column Map on this process.");
// We've converted column indices from global to local, so we
// can deallocate the global column indices (which we know are
// in 1-D storage, because the graph has static profile).
k_gblInds1D_ = gbl_col_inds_type ();
}
else { // the graph has dynamic profile (2-D index storage)
lclInds2D_ = Teuchos::arcp<Teuchos::Array<LO> > (lclNumRows);
for (LO lclRow = 0; lclRow < lclNumRows; ++lclRow) {
if (! gblInds2D_[lclRow].empty ()) {
const GO* const ginds = gblInds2D_[lclRow].getRawPtr ();
// NOTE (mfh 26 Jun 2016) It's always legal to cast the
// number of entries in a row to LO, as long as the row
// doesn't have too many duplicate entries.
const LO rna = static_cast<LO> (gblInds2D_[lclRow].size ());
const LO numEnt = static_cast<LO> (h_numRowEnt(lclRow));
lclInds2D_[lclRow].resize (rna);
LO* const linds = lclInds2D_[lclRow].getRawPtr ();
for (LO j = 0; j < numEnt; ++j) {
const GO gid = ginds[j];
const LO lid = colMap.getLocalElement (gid);
linds[j] = lid;
#ifdef HAVE_TPETRA_DEBUG
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(linds[j] == Teuchos::OrdinalTraits<LO>::invalid(),
std::logic_error,
"Global column ginds[j=" << j << "]=" << ginds[j]
<< " of local row " << lclRow << " is not in the column Map. "
"This should never happen. Please report this bug to the "
"Tpetra developers.");
#endif // HAVE_TPETRA_DEBUG
}
}
}
gblInds2D_ = Teuchos::null;
}
} // globallyIndexed() && lclNumRows > 0
lclGraph_ = local_graph_type (k_lclInds1D_, k_rowPtrs_);
indicesAreLocal_ = true;
indicesAreGlobal_ = false;
checkInternalState ();
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
sortAllIndices ()
{
typedef LocalOrdinal LO;
// this should be called only after makeIndicesLocal()
TEUCHOS_TEST_FOR_EXCEPT( isGloballyIndexed () );
if (isSorted () == false) {
// FIXME (mfh 06 Mar 2014) This would be a good place for a
// thread-parallel kernel.
const LO lclNumRows = static_cast<LO> (this->getNodeNumRows ());
for (LO lclRow = 0; lclRow < lclNumRows; ++lclRow) {
const RowInfo rowInfo = this->getRowInfo (lclRow);
this->sortRowIndices (rowInfo);
}
}
indicesAreSorted_ = true; // we just sorted every row
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
makeColMap ()
{
using Teuchos::Array;
using Teuchos::ArrayView;
using Teuchos::outArg;
using Teuchos::rcp;
using Teuchos::REDUCE_MAX;
using Teuchos::reduceAll;
using std::endl;
typedef LocalOrdinal LO;
typedef GlobalOrdinal GO;
const char tfecfFuncName[] = "makeColMap";
if (hasColMap ()) { // The graph already has a column Map.
// FIXME (mfh 26 Feb 2013): This currently prevents structure
// changes that affect the column Map.
return;
}
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
isLocallyIndexed (), std::runtime_error,
": The graph is locally indexed. Calling makeColMap() to make the "
"column Map requires that the graph be globally indexed.");
// After the calling process is done going through all of the rows
// it owns, myColumns will contain the list of indices owned by
// this process in the column Map.
Array<GO> myColumns;
// If we reach this point, we don't have a column Map yet, so the
// graph can't be locally indexed. Thus, isGloballyIndexed() ==
// false means that the graph is empty on this process, so
// myColumns will be left empty.
if (isGloballyIndexed ()) {
// Go through all the rows, finding the populated column indices.
//
// Our final list of indices for the column Map constructor will
// have the following properties (all of which are with respect
// to the calling process):
//
// 1. Indices in the domain Map go first.
// 2. Indices not in the domain Map follow, ordered first
// contiguously by their owning process rank (in the domain
// Map), then in increasing order within that.
// 3. No duplicate indices.
//
// This imitates the ordering used by Aztec(OO) and Epetra.
// Storing indices owned by the same process (in the domain Map)
// contiguously permits the use of contiguous send and receive
// buffers.
//
// We begin by partitioning the column indices into "local" GIDs
// (owned by the domain Map) and "remote" GIDs (not owned by the
// domain Map). We use the same order for local GIDs as the
// domain Map, so we track them in place in their array. We use
// an std::set (RemoteGIDSet) to keep track of remote GIDs, so
// that we don't have to merge duplicates later.
const LO LINV = Teuchos::OrdinalTraits<LO>::invalid ();
size_t numLocalColGIDs = 0, numRemoteColGIDs = 0;
// GIDisLocal[lid] == 0 if and only if local index lid in the
// domain Map is remote (not local).
Array<char> GIDisLocal (domainMap_->getNodeNumElements (), 0);
std::set<GO> RemoteGIDSet;
// This preserves the not-sorted Epetra order of GIDs.
std::vector<GO> RemoteGIDUnorderedVector;
const LO myNumRows = this->getNodeNumRows ();
for (LO r = 0; r < myNumRows; ++r) {
const RowInfo rowinfo = this->getRowInfo (r);
if (rowinfo.numEntries > 0) {
// NOTE (mfh 02 Sep 2014) getGlobalView() returns a view of
// all the space in the row, not just the occupied entries.
// (This matters for the case of unpacked 1-D storage. We
// might not have packed it yet.) That's why we need to
// take a subview.
ArrayView<const GO> rowGids = getGlobalView (rowinfo);
rowGids = rowGids (0, rowinfo.numEntries);
for (size_t k = 0; k < rowinfo.numEntries; ++k) {
const GO gid = rowGids[k];
const LO lid = domainMap_->getLocalElement (gid);
if (lid != LINV) {
const char alreadyFound = GIDisLocal[lid];
if (alreadyFound == 0) {
GIDisLocal[lid] = static_cast<char> (1);
++numLocalColGIDs;
}
}
else {
const bool notAlreadyFound = RemoteGIDSet.insert (gid).second;
if (notAlreadyFound) { // gid did not exist in the set before
if (! sortGhostsAssociatedWithEachProcessor_) {
// The user doesn't want to sort remote GIDs (for
// each remote process); they want us to keep remote
// GIDs in their original order. We do this by
// stuffing each remote GID into an array as we
// encounter it for the first time. The std::set
// helpfully tracks first encounters.
RemoteGIDUnorderedVector.push_back (gid);
}
++numRemoteColGIDs;
}
}
} // for each entry k in row r
} // if row r contains > 0 entries
} // for each locally owned row r
// Possible short-circuit for serial scenario:
//
// If all domain GIDs are present as column indices, then set
// ColMap=DomainMap. By construction, LocalGIDs is a subset of
// DomainGIDs.
//
// If we have
// * Number of remote GIDs is 0, so that ColGIDs == LocalGIDs,
// and
// * Number of local GIDs is number of domain GIDs
// then
// * LocalGIDs \subset DomainGIDs && size(LocalGIDs) ==
// size(DomainGIDs) => DomainGIDs == LocalGIDs == ColGIDs
// on the calling process.
//
// We will concern ourselves only with the special case of a
// serial DomainMap, obviating the need for communication.
//
// If
// * DomainMap has a serial communicator
// then we can set the column Map as the domain Map
// return. Benefit: this graph won't need an Import object
// later.
//
// Note, for a serial domain map, there can be no RemoteGIDs,
// because there are no remote processes. Likely explanations
// for this are:
// * user submitted erroneous column indices
// * user submitted erroneous domain Map
if (domainMap_->getComm ()->getSize () == 1) {
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
numRemoteColGIDs != 0, std::runtime_error,
": " << numRemoteColGIDs << " column "
<< (numRemoteColGIDs != 1 ? "indices are" : "index is")
<< " not in the domain Map." << endl
<< "Either these indices are invalid or the domain Map is invalid."
<< endl << "Remember that nonsquare matrices, or matrices where the "
"row and range Maps are different, require calling the version of "
"fillComplete that takes the domain and range Maps as input.");
if (numLocalColGIDs == domainMap_->getNodeNumElements()) {
colMap_ = domainMap_;
checkInternalState ();
return;
}
}
// Populate myColumns with a list of all column GIDs. Put
// locally owned (in the domain Map) GIDs at the front: they
// correspond to "same" and "permuted" entries between the
// column Map and the domain Map. Put remote GIDs at the back.
myColumns.resize (numLocalColGIDs + numRemoteColGIDs);
// get pointers into myColumns for each part
ArrayView<GO> LocalColGIDs = myColumns (0, numLocalColGIDs);
ArrayView<GO> RemoteColGIDs = myColumns (numLocalColGIDs, numRemoteColGIDs);
// Copy the remote GIDs into myColumns
if (sortGhostsAssociatedWithEachProcessor_) {
// The std::set puts GIDs in increasing order.
std::copy (RemoteGIDSet.begin(), RemoteGIDSet.end(),
RemoteColGIDs.begin());
} else {
// Respect the originally encountered order.
std::copy (RemoteGIDUnorderedVector.begin(),
RemoteGIDUnorderedVector.end(), RemoteColGIDs.begin());
}
// Make a list of process ranks corresponding to the remote GIDs.
Array<int> RemoteImageIDs (numRemoteColGIDs);
// Look up the remote process' ranks in the domain Map.
{
const LookupStatus stat =
domainMap_->getRemoteIndexList (RemoteColGIDs, RemoteImageIDs ());
#ifdef HAVE_TPETRA_DEBUG
// If any process returns IDNotPresent, then at least one of
// the remote indices was not present in the domain Map. This
// means that the Import object cannot be constructed, because
// of incongruity between the column Map and domain Map.
// This has two likely causes:
// - The user has made a mistake in the column indices
// - The user has made a mistake with respect to the domain Map
const int missingID_lcl = (stat == IDNotPresent ? 1 : 0);
int missingID_gbl = 0;
reduceAll<int, int> (*getComm (), REDUCE_MAX, missingID_lcl,
outArg (missingID_gbl));
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
missingID_gbl == 1, std::runtime_error,
": Some column indices are not in the domain Map." << endl
<< "Either these column indices are invalid or the domain Map is "
"invalid." << endl << "Likely cause: For a nonsquare matrix, you "
"must give the domain and range Maps as input to fillComplete.");
#else
(void) stat; // forestall compiler warning for unused variable
#endif // HAVE_TPETRA_DEBUG
}
// Sort incoming remote column indices by their owning process
// rank, so that all columns coming from a given remote process
// are contiguous. This means the Import's Distributor doesn't
// need to reorder data.
//
// NOTE (mfh 02 Sep 2014) This needs to be a stable sort, so
// that it respects either of the possible orderings of GIDs
// (sorted, or original order) specified above.
sort2 (RemoteImageIDs.begin(), RemoteImageIDs.end(), RemoteColGIDs.begin());
// Copy the local GIDs into myColumns. Two cases:
// 1. If the number of Local column GIDs is the same as the
// number of Local domain GIDs, we can simply read the domain
// GIDs into the front part of ColIndices (see logic above
// from the serial short circuit case)
// 2. We step through the GIDs of the DomainMap, checking to see
// if each domain GID is a column GID. We want to do this to
// maintain a consistent ordering of GIDs between the columns
// and the domain.
const size_t numDomainElts = domainMap_->getNodeNumElements ();
if (numLocalColGIDs == numDomainElts) {
// If the number of locally owned GIDs are the same as the
// number of local domain Map elements, then the local domain
// Map elements are the same as the locally owned GIDs.
if (domainMap_->isContiguous ()) {
// NOTE (mfh 03 Mar 2013, 02 Sep 2014) In the common case
// that the domain Map is contiguous, it's more efficient to
// avoid calling getNodeElementList(), since that
// permanently constructs and caches the GID list in the
// contiguous Map.
GO curColMapGid = domainMap_->getMinGlobalIndex ();
for (size_t k = 0; k < numLocalColGIDs; ++k, ++curColMapGid) {
LocalColGIDs[k] = curColMapGid;
}
}
else {
ArrayView<const GO> domainElts = domainMap_->getNodeElementList ();
std::copy (domainElts.begin(), domainElts.end(), LocalColGIDs.begin());
}
}
else {
// Count the number of locally owned GIDs, both to keep track
// of the current array index, and as a sanity check.
size_t numLocalCount = 0;
if (domainMap_->isContiguous ()) {
// NOTE (mfh 03 Mar 2013, 02 Sep 2014) In the common case
// that the domain Map is contiguous, it's more efficient to
// avoid calling getNodeElementList(), since that
// permanently constructs and caches the GID list in the
// contiguous Map.
GO curColMapGid = domainMap_->getMinGlobalIndex ();
for (size_t i = 0; i < numDomainElts; ++i, ++curColMapGid) {
if (GIDisLocal[i]) {
LocalColGIDs[numLocalCount++] = curColMapGid;
}
}
}
else {
ArrayView<const GO> domainElts = domainMap_->getNodeElementList ();
for (size_t i = 0; i < numDomainElts; ++i) {
if (GIDisLocal[i]) {
LocalColGIDs[numLocalCount++] = domainElts[i];
}
}
}
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
numLocalCount != numLocalColGIDs, std::logic_error,
": numLocalCount = " << numLocalCount << " != numLocalColGIDs = "
<< numLocalColGIDs << ". This should never happen. Please report "
"this bug to the Tpetra developers.");
}
// FIXME (mfh 03 Apr 2013) Now would be a good time to use the
// information we collected above to construct the Import. In
// particular, building an Import requires:
//
// 1. numSameIDs (length of initial contiguous sequence of GIDs
// on this process that are the same in both Maps; this
// equals the number of domain Map elements on this process)
//
// 2. permuteToLIDs and permuteFromLIDs (both empty in this
// case, since there's no permutation going on; the column
// Map starts with the domain Map's GIDs, and immediately
// after them come the remote GIDs)
//
// 3. remoteGIDs (exactly those GIDs that we found out above
// were not in the domain Map) and remoteLIDs (which we could
// have gotten above by using the three-argument version of
// getRemoteIndexList() that computes local indices as well
// as process ranks, instead of the two-argument version that
// was used above)
//
// 4. remotePIDs (which we have from the getRemoteIndexList()
// call above)
//
// 5. Sorting remotePIDs, and applying that permutation to
// remoteGIDs and remoteLIDs (by calling sort3 above instead
// of sort2)
//
// 6. Everything after the sort3 call in Import::setupExport():
// a. Create the Distributor via createFromRecvs(), which
// computes exportGIDs and exportPIDs
// b. Compute exportLIDs from exportGIDs (by asking the
// source Map, in this case the domain Map, to convert
// global to local)
//
// Steps 1-5 come for free, since we must do that work anyway in
// order to compute the column Map. In particular, Step 3 is
// even more expensive than Step 6a, since it involves both
// creating and using a new Distributor object.
} // if the graph is globally indexed
const global_size_t gstInv =
Teuchos::OrdinalTraits<global_size_t>::invalid ();
// FIXME (mfh 05 Mar 2014) Doesn't the index base of a Map have to
// be the same as the Map's min GID? If the first column is empty
// (contains no entries), then the column Map's min GID won't
// necessarily be the same as the domain Map's index base.
const GO indexBase = domainMap_->getIndexBase ();
colMap_ = rcp (new map_type (gstInv, myColumns, indexBase,
domainMap_->getComm (),
domainMap_->getNode ()));
checkInternalState ();
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
mergeAllIndices ()
{
TEUCHOS_TEST_FOR_EXCEPT( isGloballyIndexed() ); // call only after makeIndicesLocal()
TEUCHOS_TEST_FOR_EXCEPT( ! isSorted() ); // call only after sortIndices()
if (! isMerged ()) {
const LocalOrdinal lclNumRows =
static_cast<LocalOrdinal> (this->getNodeNumRows ());
for (LocalOrdinal row = 0; row < lclNumRows; ++row) {
const RowInfo rowInfo = this->getRowInfo (row);
mergeRowIndices(rowInfo);
}
// we just merged every row
noRedundancies_ = true;
}
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
makeImportExport ()
{
using Teuchos::ParameterList;
using Teuchos::RCP;
using Teuchos::rcp;
TEUCHOS_TEST_FOR_EXCEPTION(! hasColMap (), std::logic_error, "Tpetra::"
"CrsGraph::makeImportExport: This method may not be called unless the "
"graph has a column Map.");
RCP<ParameterList> params = this->getNonconstParameterList (); // could be null
// Don't do any checks to see if we need to create the Import, if
// it exists already.
//
// FIXME (mfh 25 Mar 2013) This will become incorrect if we
// change CrsGraph in the future to allow changing the column
// Map after fillComplete. For now, the column Map is fixed
// after the first fillComplete call.
if (importer_.is_null ()) {
// Create the Import instance if necessary.
if (domainMap_ != colMap_ && (! domainMap_->isSameAs (*colMap_))) {
if (params.is_null () || ! params->isSublist ("Import")) {
importer_ = rcp (new import_type (domainMap_, colMap_));
} else {
RCP<ParameterList> importSublist = sublist (params, "Import", true);
importer_ = rcp (new import_type (domainMap_, colMap_, importSublist));
}
}
}
// Don't do any checks to see if we need to create the Export, if
// it exists already.
if (exporter_.is_null ()) {
// Create the Export instance if necessary.
if (rangeMap_ != rowMap_ && ! rangeMap_->isSameAs (*rowMap_)) {
if (params.is_null () || ! params->isSublist ("Export")) {
exporter_ = rcp (new export_type (rowMap_, rangeMap_));
}
else {
RCP<ParameterList> exportSublist = sublist (params, "Export", true);
exporter_ = rcp (new export_type (rowMap_, rangeMap_, exportSublist));
}
}
}
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
std::string
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
description () const
{
std::ostringstream oss;
oss << dist_object_type::description ();
if (isFillComplete ()) {
oss << "{status = fill complete"
<< ", global rows = " << getGlobalNumRows()
<< ", global cols = " << getGlobalNumCols()
<< ", global num entries = " << getGlobalNumEntries()
<< "}";
}
else {
oss << "{status = fill not complete"
<< ", global rows = " << getGlobalNumRows()
<< "}";
}
return oss.str();
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
describe (Teuchos::FancyOStream &out,
const Teuchos::EVerbosityLevel verbLevel) const
{
const char tfecfFuncName[] = "describe()";
using Teuchos::ArrayView;
using Teuchos::Comm;
using Teuchos::RCP;
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 std::endl;
using std::setw;
Teuchos::EVerbosityLevel vl = verbLevel;
if (vl == VERB_DEFAULT) vl = VERB_LOW;
RCP<const Comm<int> > comm = this->getComm();
const int myImageID = comm->getRank(),
numImages = comm->getSize();
size_t width = 1;
for (size_t dec=10; dec<getGlobalNumRows(); dec *= 10) {
++width;
}
width = std::max<size_t> (width, static_cast<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 node
// high: print O(N) info, num entries per row
// extreme: print O(NNZ) info: print graph indices
//
// for medium and higher, print constituent objects at specified verbLevel
if (vl != VERB_NONE) {
if (myImageID == 0) out << this->description() << std::endl;
// O(1) globals, minus what was already printed by description()
if (isFillComplete() && myImageID == 0) {
out << "Global number of diagonals = " << globalNumDiags_ << std::endl;
out << "Global max number of row entries = " << globalMaxNumRowEntries_ << std::endl;
}
// constituent objects
if (vl == VERB_MEDIUM || vl == VERB_HIGH || vl == VERB_EXTREME) {
if (myImageID == 0) out << "\nRow map: " << std::endl;
rowMap_->describe(out,vl);
if (colMap_ != Teuchos::null) {
if (myImageID == 0) out << "\nColumn map: " << std::endl;
colMap_->describe(out,vl);
}
if (domainMap_ != Teuchos::null) {
if (myImageID == 0) out << "\nDomain map: " << std::endl;
domainMap_->describe(out,vl);
}
if (rangeMap_ != Teuchos::null) {
if (myImageID == 0) out << "\nRange map: " << std::endl;
rangeMap_->describe(out,vl);
}
}
// O(P) data
if (vl == VERB_MEDIUM || vl == VERB_HIGH || vl == VERB_EXTREME) {
for (int imageCtr = 0; imageCtr < numImages; ++imageCtr) {
if (myImageID == imageCtr) {
out << "Node ID = " << imageCtr << std::endl
<< "Node number of entries = " << nodeNumEntries_ << std::endl
<< "Node number of diagonals = " << nodeNumDiags_ << std::endl
<< "Node max number of entries = " << nodeMaxNumRowEntries_ << std::endl;
if (indicesAreAllocated()) {
out << "Node number of allocated entries = " << nodeNumAllocated_ << std::endl;
}
else {
out << "Indices are not allocated." << std::endl;
}
}
comm->barrier();
comm->barrier();
comm->barrier();
}
}
// O(N) and O(NNZ) data
if (vl == VERB_HIGH || vl == VERB_EXTREME) {
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
! hasRowInfo (), std::runtime_error, ": reduce verbosity level; "
"graph row information was deleted at fillComplete().");
for (int imageCtr = 0; imageCtr < numImages; ++imageCtr) {
if (myImageID == imageCtr) {
out << std::setw(width) << "Node ID"
<< std::setw(width) << "Global Row"
<< std::setw(width) << "Num Entries";
if (vl == VERB_EXTREME) {
out << " Entries";
}
out << std::endl;
const LocalOrdinal lclNumRows =
static_cast<LocalOrdinal> (this->getNodeNumRows ());
for (LocalOrdinal r=0; r < lclNumRows; ++r) {
const RowInfo rowinfo = this->getRowInfo (r);
GlobalOrdinal gid = rowMap_->getGlobalElement(r);
out << std::setw(width) << myImageID
<< std::setw(width) << gid
<< std::setw(width) << rowinfo.numEntries;
if (vl == VERB_EXTREME) {
out << " ";
if (isGloballyIndexed()) {
ArrayView<const GlobalOrdinal> rowview = getGlobalView(rowinfo);
for (size_t j=0; j < rowinfo.numEntries; ++j) out << rowview[j] << " ";
}
else if (isLocallyIndexed()) {
ArrayView<const LocalOrdinal> rowview = getLocalView(rowinfo);
for (size_t j=0; j < rowinfo.numEntries; ++j) out << colMap_->getGlobalElement(rowview[j]) << " ";
}
}
out << std::endl;
}
}
comm->barrier();
comm->barrier();
comm->barrier();
}
}
}
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
bool
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
checkSizes (const SrcDistObject& source)
{
(void) source; // forestall "unused variable" compiler warnings
// It's not clear what kind of compatibility checks on sizes can
// be performed here. Epetra_CrsGraph doesn't check any sizes for
// compatibility.
return true;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
copyAndPermute (const SrcDistObject& source,
size_t numSameIDs,
const Teuchos::ArrayView<const LocalOrdinal> &permuteToLIDs,
const Teuchos::ArrayView<const LocalOrdinal> &permuteFromLIDs)
{
using Teuchos::Array;
using Teuchos::ArrayView;
typedef LocalOrdinal LO;
typedef GlobalOrdinal GO;
const char tfecfFuncName[] = "copyAndPermute";
typedef CrsGraph<LO, GO, node_type> this_type;
typedef RowGraph<LO, GO, node_type> row_graph_type;
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
permuteToLIDs.size() != permuteFromLIDs.size(), std::runtime_error,
": permuteToLIDs and permuteFromLIDs must have the same size.");
// Make sure that the source object has the right type. We only
// actually need it to be a RowGraph, with matching first three
// template parameters. If it's a CrsGraph, we can use view mode
// instead of copy mode to get each row's data.
//
// FIXME (mfh 07 Jul 2013) It should not be necessary for any of
// the template parameters but GO to match. GO has to match
// because the graph has to send indices as global ordinals, if
// the source and target graphs do not have the same column Map.
// If LO doesn't match, the graphs could communicate using global
// indices. It could be possible that Node affects the graph's
// storage format, but packAndPrepare should assume a common
// communication format in any case.
const row_graph_type* srcRowGraph = dynamic_cast<const row_graph_type*> (&source);
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
srcRowGraph == NULL, std::invalid_argument,
": The source object must be a RowGraph with matching first three "
"template parameters.");
// If the source object is actually a CrsGraph, we can use view
// mode instead of copy mode to access the entries in each row,
// if the graph is not fill complete.
const this_type* srcCrsGraph = dynamic_cast<const this_type*> (&source);
const map_type& srcRowMap = * (srcRowGraph->getRowMap ());
const map_type& tgtRowMap = * (this->getRowMap ());
const bool src_filled = srcRowGraph->isFillComplete ();
Array<GO> row_copy;
LO myid = 0;
//
// "Copy" part of "copy and permute."
//
if (src_filled || srcCrsGraph == NULL) {
// If the source graph is fill complete, we can't use view mode,
// because the data might be stored in a different format not
// compatible with the expectations of view mode. Also, if the
// source graph is not a CrsGraph, we can't use view mode,
// because RowGraph only provides copy mode access to the data.
for (size_t i = 0; i < numSameIDs; ++i, ++myid) {
const GO gid = srcRowMap.getGlobalElement (myid);
size_t row_length = srcRowGraph->getNumEntriesInGlobalRow (gid);
row_copy.resize (row_length);
size_t check_row_length = 0;
srcRowGraph->getGlobalRowCopy (gid, row_copy (), check_row_length);
this->insertGlobalIndices (gid, row_copy ());
}
} else {
for (size_t i = 0; i < numSameIDs; ++i, ++myid) {
const GO gid = srcRowMap.getGlobalElement (myid);
ArrayView<const GO> row;
srcCrsGraph->getGlobalRowView (gid, row);
this->insertGlobalIndices (gid, row);
}
}
//
// "Permute" part of "copy and permute."
//
if (src_filled || srcCrsGraph == NULL) {
for (LO i = 0; i < permuteToLIDs.size (); ++i) {
const GO mygid = tgtRowMap.getGlobalElement (permuteToLIDs[i]);
const GO srcgid = srcRowMap.getGlobalElement (permuteFromLIDs[i]);
size_t row_length = srcRowGraph->getNumEntriesInGlobalRow (srcgid);
row_copy.resize (row_length);
size_t check_row_length = 0;
srcRowGraph->getGlobalRowCopy (srcgid, row_copy (), check_row_length);
this->insertGlobalIndices (mygid, row_copy ());
}
} else {
for (LO i = 0; i < permuteToLIDs.size (); ++i) {
const GO mygid = tgtRowMap.getGlobalElement (permuteToLIDs[i]);
const GO srcgid = srcRowMap.getGlobalElement (permuteFromLIDs[i]);
ArrayView<const GO> row;
srcCrsGraph->getGlobalRowView (srcgid, row);
this->insertGlobalIndices (mygid, row);
}
}
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
packAndPrepare (const SrcDistObject& source,
const Teuchos::ArrayView<const LocalOrdinal> &exportLIDs,
Teuchos::Array<GlobalOrdinal> &exports,
const Teuchos::ArrayView<size_t> & numPacketsPerLID,
size_t& constantNumPackets,
Distributor &distor)
{
using Teuchos::Array;
const char tfecfFuncName[] = "packAndPrepare";
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
exportLIDs.size() != numPacketsPerLID.size(), std::runtime_error,
": exportLIDs and numPacketsPerLID must have the same size.");
typedef RowGraph<LocalOrdinal, GlobalOrdinal, node_type> row_graph_type;
const row_graph_type& srcGraph = dynamic_cast<const row_graph_type&> (source);
// We don't check whether src_graph has had fillComplete called,
// because it doesn't matter whether the *source* graph has been
// fillComplete'd. The target graph can not be fillComplete'd yet.
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
this->isFillComplete (), std::runtime_error,
": The target graph of an Import or Export must not be fill complete.");
srcGraph.pack (exportLIDs, exports, numPacketsPerLID, constantNumPackets, distor);
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
pack (const Teuchos::ArrayView<const LocalOrdinal>& exportLIDs,
Teuchos::Array<GlobalOrdinal>& exports,
const Teuchos::ArrayView<size_t>& numPacketsPerLID,
size_t& constantNumPackets,
Distributor& distor) const
{
using Teuchos::Array;
typedef LocalOrdinal LO;
typedef GlobalOrdinal GO;
const char tfecfFuncName[] = "pack";
(void) distor; // forestall "unused argument" compiler warning
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
exportLIDs.size() != numPacketsPerLID.size(), std::runtime_error,
": exportLIDs and numPacketsPerLID must have the same size.");
const map_type& srcMap = * (this->getMap ());
constantNumPackets = 0;
// Set numPacketsPerLID[i] to the number of entries owned by the
// calling process in (local) row exportLIDs[i] of the graph, that
// the caller wants us to send out. Compute the total number of
// packets (that is, entries) owned by this process in all the
// rows that the caller wants us to send out.
size_t totalNumPackets = 0;
Array<GO> row;
for (LO i = 0; i < exportLIDs.size (); ++i) {
const GO GID = srcMap.getGlobalElement (exportLIDs[i]);
size_t row_length = this->getNumEntriesInGlobalRow (GID);
numPacketsPerLID[i] = row_length;
totalNumPackets += row_length;
}
exports.resize (totalNumPackets);
// Loop again over the rows to export, and pack rows of indices
// into the output buffer.
size_t exportsOffset = 0;
for (LO i = 0; i < exportLIDs.size (); ++i) {
const GO GID = srcMap.getGlobalElement (exportLIDs[i]);
size_t row_length = this->getNumEntriesInGlobalRow (GID);
row.resize (row_length);
size_t check_row_length = 0;
this->getGlobalRowCopy (GID, row (), check_row_length);
typename Array<GO>::const_iterator row_iter = row.begin();
typename Array<GO>::const_iterator row_end = row.end();
size_t j = 0;
for (; row_iter != row_end; ++row_iter, ++j) {
exports[exportsOffset+j] = *row_iter;
}
exportsOffset += row.size();
}
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
unpackAndCombine (const Teuchos::ArrayView<const LocalOrdinal> &importLIDs,
const Teuchos::ArrayView<const GlobalOrdinal> &imports,
const Teuchos::ArrayView<size_t> &numPacketsPerLID,
size_t constantNumPackets,
Distributor& /* distor */,
CombineMode /* CM */)
{
using Teuchos::ArrayView;
typedef LocalOrdinal LO;
typedef GlobalOrdinal GO;
// FIXME (mfh 02 Apr 2012) REPLACE combine mode has a perfectly
// reasonable meaning, whether or not the matrix is fill complete.
// It's just more work to implement.
// We are not checking the value of the CombineMode input
// argument. For CrsGraph, we only support import/export
// operations if fillComplete has not yet been called. Any
// incoming column-indices are inserted into the target graph. In
// this context, CombineMode values of ADD vs INSERT are
// equivalent. What is the meaning of REPLACE for CrsGraph? If a
// duplicate column-index is inserted, it will be compressed out
// when fillComplete is called.
//
// Note: I think REPLACE means that an existing row is replaced by
// the imported row, i.e., the existing indices are cleared. CGB,
// 6/17/2010
const char tfecfFuncName[] = "unpackAndCombine: ";
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
importLIDs.size() != numPacketsPerLID.size(), std::runtime_error,
"importLIDs and numPacketsPerLID must have the same size.");
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(
isFillComplete (), std::runtime_error,
"Import or Export operations are not allowed on the destination "
"CrsGraph if it is fill complete.");
size_t importsOffset = 0;
typedef typename ArrayView<const LO>::const_iterator iter_type;
iter_type impLIDiter = importLIDs.begin();
iter_type impLIDend = importLIDs.end();
for (size_t i = 0; impLIDiter != impLIDend; ++impLIDiter, ++i) {
LO row_length = numPacketsPerLID[i];
const GO* const row_raw = (row_length == 0) ? NULL : &imports[importsOffset];
ArrayView<const GlobalOrdinal> row (row_raw, row_length);
insertGlobalIndicesFiltered (this->getMap ()->getGlobalElement (*impLIDiter), row);
importsOffset += row_length;
}
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
removeEmptyProcessesInPlace (const Teuchos::RCP<const map_type>& newMap)
{
using Teuchos::Comm;
using Teuchos::null;
using Teuchos::ParameterList;
using Teuchos::RCP;
// We'll set all the state "transactionally," so that this method
// satisfies the strong exception guarantee. This object's state
// won't be modified until the end of this method.
RCP<const map_type> rowMap, domainMap, rangeMap, colMap;
RCP<import_type> importer;
RCP<export_type> exporter;
rowMap = newMap;
RCP<const Comm<int> > newComm =
(newMap.is_null ()) ? null : newMap->getComm ();
if (! domainMap_.is_null ()) {
if (domainMap_.getRawPtr () == rowMap_.getRawPtr ()) {
// Common case: original domain and row Maps are identical.
// In that case, we need only replace the original domain Map
// with the new Map. This ensures that the new domain and row
// Maps _stay_ identical.
domainMap = newMap;
} else {
domainMap = domainMap_->replaceCommWithSubset (newComm);
}
}
if (! rangeMap_.is_null ()) {
if (rangeMap_.getRawPtr () == rowMap_.getRawPtr ()) {
// Common case: original range and row Maps are identical. In
// that case, we need only replace the original range Map with
// the new Map. This ensures that the new range and row Maps
// _stay_ identical.
rangeMap = newMap;
} else {
rangeMap = rangeMap_->replaceCommWithSubset (newComm);
}
}
if (! colMap.is_null ()) {
colMap = colMap_->replaceCommWithSubset (newComm);
}
// (Re)create the Export and / or Import if necessary.
if (! newComm.is_null ()) {
RCP<ParameterList> params = this->getNonconstParameterList (); // could be null
//
// The operations below are collective on the new communicator.
//
// (Re)create the Export object if necessary. If I haven't
// called fillComplete yet, I don't have a rangeMap, so I must
// first check if the _original_ rangeMap is not null. Ditto
// for the Import object and the domain Map.
if (! rangeMap_.is_null () &&
rangeMap != rowMap &&
! rangeMap->isSameAs (*rowMap)) {
if (params.is_null () || ! params->isSublist ("Export")) {
exporter = rcp (new export_type (rowMap, rangeMap));
}
else {
RCP<ParameterList> exportSublist = sublist (params, "Export", true);
exporter = rcp (new export_type (rowMap, rangeMap, exportSublist));
}
}
// (Re)create the Import object if necessary.
if (! domainMap_.is_null () &&
domainMap != colMap &&
! domainMap->isSameAs (*colMap)) {
if (params.is_null () || ! params->isSublist ("Import")) {
importer = rcp (new import_type (domainMap, colMap));
} else {
RCP<ParameterList> importSublist = sublist (params, "Import", true);
importer = rcp (new import_type (domainMap, colMap, importSublist));
}
}
} // if newComm is not null
// Defer side effects until the end. If no destructors throw
// exceptions (they shouldn't anyway), then this method satisfies
// the strong exception guarantee.
exporter_ = exporter;
importer_ = importer;
rowMap_ = rowMap;
// mfh 31 Mar 2013: DistObject's map_ is the row Map of a CrsGraph
// or CrsMatrix. CrsGraph keeps a redundant pointer (rowMap_) to
// the same object. We might want to get rid of this redundant
// pointer sometime, but for now, we'll leave it alone and just
// set map_ to the same object.
this->map_ = rowMap;
domainMap_ = domainMap;
rangeMap_ = rangeMap;
colMap_ = colMap;
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
bool
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
hasRowInfo () const
{
if (indicesAreAllocated () &&
getProfileType () == StaticProfile &&
k_rowPtrs_.dimension_0 () == 0) {
return false;
} else {
return true;
}
}
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getLocalDiagOffsets (const Kokkos::View<size_t*, device_type, Kokkos::MemoryUnmanaged>& offsets) const
{
typedef LocalOrdinal LO;
typedef GlobalOrdinal GO;
const char tfecfFuncName[] = "getLocalDiagOffsets: ";
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(! hasColMap (), std::runtime_error, "The graph must have a column Map.");
const LO lclNumRows = static_cast<LO> (this->getNodeNumRows ());
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(static_cast<LO> (offsets.dimension_0 ()) < lclNumRows,
std::invalid_argument, "offsets.dimension_0() = " <<
offsets.dimension_0 () << " < getNodeNumRows() = " << lclNumRows << ".");
const map_type& rowMap = * (this->getRowMap ());
const map_type& colMap = * (this->getColMap ());
#ifdef HAVE_TPETRA_DEBUG
bool allRowMapDiagEntriesInColMap = true;
bool allDiagEntriesFound = true;
bool allOffsetsCorrect = true;
bool noOtherWeirdness = true;
std::vector<std::pair<LO, size_t> > wrongOffsets;
#endif // HAVE_TPETRA_DEBUG
// mfh 12 Mar 2016: LocalMap works on (CUDA) device. It has just
// the subset of Map functionality that we need below.
auto lclRowMap = rowMap.getLocalMap ();
auto lclColMap = colMap.getLocalMap ();
// FIXME (mfh 16 Dec 2015) It's easy to thread-parallelize this
// setup, at least on the host. For CUDA, we have to use LocalMap
// (that comes from each of the two Maps).
const bool sorted = this->isSorted ();
if (isFillComplete ()) {
auto lclGraph = this->getLocalGraph ();
Details::getGraphDiagOffsets (offsets, lclRowMap, lclColMap,
lclGraph.row_map, lclGraph.entries,
sorted);
}
else {
for (LO lclRowInd = 0; lclRowInd < lclNumRows; ++lclRowInd) {
const GO gblRowInd = lclRowMap.getGlobalElement (lclRowInd);
const GO gblColInd = gblRowInd;
const LO lclColInd = lclColMap.getLocalElement (gblColInd);
if (lclColInd == Tpetra::Details::OrdinalTraits<LO>::invalid ()) {
#ifdef HAVE_TPETRA_DEBUG
allRowMapDiagEntriesInColMap = false;
#endif // HAVE_TPETRA_DEBUG
offsets[lclRowInd] = Tpetra::Details::OrdinalTraits<size_t>::invalid ();
}
else {
const RowInfo rowInfo = this->getRowInfo (lclRowInd);
if (static_cast<LO> (rowInfo.localRow) == lclRowInd &&
rowInfo.numEntries > 0) {
auto colInds = this->getLocalKokkosRowView (rowInfo);
const size_t hint = 0; // not needed for this algorithm
const size_t offset =
KokkosSparse::findRelOffset (colInds, rowInfo.numEntries,
lclColInd, hint, sorted);
offsets(lclRowInd) = offset;
#ifdef HAVE_TPETRA_DEBUG
// Now that we have what we think is an offset, make sure
// that it really does point to the diagonal entry. Offsets
// are _relative_ to each row, not absolute (for the whole
// (local) graph).
Teuchos::ArrayView<const LO> lclColInds;
try {
this->getLocalRowView (lclRowInd, lclColInds);
}
catch (...) {
noOtherWeirdness = false;
}
// Don't continue with error checking if the above failed.
if (noOtherWeirdness) {
const size_t numEnt = lclColInds.size ();
if (offset >= numEnt) {
// Offsets are relative to each row, so this means that
// the offset is out of bounds.
allOffsetsCorrect = false;
wrongOffsets.push_back (std::make_pair (lclRowInd, offset));
} else {
const LO actualLclColInd = lclColInds[offset];
const GO actualGblColInd = lclColMap.getGlobalElement (actualLclColInd);
if (actualGblColInd != gblColInd) {
allOffsetsCorrect = false;
wrongOffsets.push_back (std::make_pair (lclRowInd, offset));
}
}
}
#endif // HAVE_TPETRA_DEBUG
}
else {
offsets(lclRowInd) = Tpetra::Details::OrdinalTraits<size_t>::invalid ();
#ifdef HAVE_TPETRA_DEBUG
allDiagEntriesFound = false;
#endif // HAVE_TPETRA_DEBUG
}
}
}
}
#ifdef HAVE_TPETRA_DEBUG
if (wrongOffsets.size () != 0) {
std::ostringstream os;
os << "Proc " << this->getComm ()->getRank () << ": Wrong offsets: [";
for (size_t k = 0; k < wrongOffsets.size (); ++k) {
os << "(" << wrongOffsets[k].first << ","
<< wrongOffsets[k].second << ")";
if (k + 1 < wrongOffsets.size ()) {
os << ", ";
}
}
os << "]" << std::endl;
std::cerr << os.str ();
}
#endif // HAVE_TPETRA_DEBUG
#ifdef HAVE_TPETRA_DEBUG
using Teuchos::reduceAll;
using std::endl;
Teuchos::RCP<const Teuchos::Comm<int> > comm = this->getComm ();
const bool localSuccess =
allRowMapDiagEntriesInColMap && allDiagEntriesFound && allOffsetsCorrect;
const int numResults = 5;
int lclResults[5];
lclResults[0] = allRowMapDiagEntriesInColMap ? 1 : 0;
lclResults[1] = allDiagEntriesFound ? 1 : 0;
lclResults[2] = allOffsetsCorrect ? 1 : 0;
lclResults[3] = noOtherWeirdness ? 1 : 0;
// min-all-reduce will compute least rank of all the processes
// that didn't succeed.
lclResults[4] = ! localSuccess ? comm->getRank () : comm->getSize ();
int gblResults[5];
gblResults[0] = 0;
gblResults[1] = 0;
gblResults[2] = 0;
gblResults[3] = 0;
gblResults[4] = 0;
reduceAll<int, int> (*comm, Teuchos::REDUCE_MIN,
numResults, lclResults, gblResults);
if (gblResults[0] != 1 || gblResults[1] != 1 || gblResults[2] != 1
|| gblResults[3] != 1) {
std::ostringstream os; // build error message
os << "Issue(s) that we noticed (on Process " << gblResults[4] << ", "
"possibly among others): " << endl;
if (gblResults[0] == 0) {
os << " - The column Map does not contain at least one diagonal entry "
"of the graph." << endl;
}
if (gblResults[1] == 0) {
os << " - On one or more processes, some row does not contain a "
"diagonal entry." << endl;
}
if (gblResults[2] == 0) {
os << " - On one or more processes, some offsets are incorrect."
<< endl;
}
if (gblResults[3] == 0) {
os << " - One or more processes had some other error."
<< endl;
}
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC(true, std::runtime_error, os.str());
}
#endif // HAVE_TPETRA_DEBUG
}
namespace { // (anonymous)
// mfh 21 Jan 2016: This is useful for getLocalDiagOffsets (see
// below). The point is to avoid the deep copy between the input
// Teuchos::ArrayRCP and the internally used Kokkos::View. We
// can't use UVM to avoid the deep copy with CUDA, because the
// ArrayRCP is a host pointer, while the input to the graph's
// getLocalDiagOffsets method is a device pointer. Assigning a
// host pointer to a device pointer is incorrect unless the host
// pointer points to host pinned memory. The goal is to get rid
// of the Teuchos::ArrayRCP overload anyway, so we accept the deep
// copy for backwards compatibility.
//
// We have to use template magic because
// "staticGraph_->getLocalDiagOffsets(offsetsHosts)" won't compile
// if device_type::memory_space is not Kokkos::HostSpace (as is
// the case with CUDA).
template<class DeviceType,
const bool memSpaceIsHostSpace =
std::is_same<typename DeviceType::memory_space,
Kokkos::HostSpace>::value>
struct HelpGetLocalDiagOffsets {};
template<class DeviceType>
struct HelpGetLocalDiagOffsets<DeviceType, true> {
typedef DeviceType device_type;
typedef Kokkos::View<size_t*, Kokkos::HostSpace,
Kokkos::MemoryUnmanaged> device_offsets_type;
typedef Kokkos::View<size_t*, Kokkos::HostSpace,
Kokkos::MemoryUnmanaged> host_offsets_type;
static device_offsets_type
getDeviceOffsets (const host_offsets_type& hostOffsets)
{
// Host and device are the same; no need to allocate a
// temporary device View.
return hostOffsets;
}
static void
copyBackIfNeeded (const host_offsets_type& /* hostOffsets */,
const device_offsets_type& /* deviceOffsets */)
{ /* copy back not needed; host and device are the same */ }
};
template<class DeviceType>
struct HelpGetLocalDiagOffsets<DeviceType, false> {
typedef DeviceType device_type;
// We have to do a deep copy, since host memory space != device
// memory space. Thus, the device View is managed (we need to
// allocate a temporary device View).
typedef Kokkos::View<size_t*, device_type> device_offsets_type;
typedef Kokkos::View<size_t*, Kokkos::HostSpace,
Kokkos::MemoryUnmanaged> host_offsets_type;
static device_offsets_type
getDeviceOffsets (const host_offsets_type& hostOffsets)
{
// Host memory space != device memory space, so we must
// allocate a temporary device View for the graph.
return device_offsets_type ("offsets", hostOffsets.dimension_0 ());
}
static void
copyBackIfNeeded (const host_offsets_type& hostOffsets,
const device_offsets_type& deviceOffsets)
{
Kokkos::deep_copy (hostOffsets, deviceOffsets);
}
};
} // namespace (anonymous)
template <class LocalOrdinal, class GlobalOrdinal, class Node, const bool classic>
void
CrsGraph<LocalOrdinal, GlobalOrdinal, Node, classic>::
getLocalDiagOffsets (Teuchos::ArrayRCP<size_t>& offsets) const
{
typedef LocalOrdinal LO;
const char tfecfFuncName[] = "getLocalDiagOffsets: ";
TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
(! this->hasColMap (), std::runtime_error,
"The graph does not yet have a column Map.");
const LO myNumRows = static_cast<LO> (this->getNodeNumRows ());
if (static_cast<LO> (offsets.size ()) != myNumRows) {
// NOTE (mfh 21 Jan 2016) This means that the method does not
// satisfy the strong exception guarantee (no side effects
// unless successful).
offsets.resize (myNumRows);
}
// mfh 21 Jan 2016: This method unfortunately takes a
// Teuchos::ArrayRCP, which is host memory. The graph wants a
// device pointer. We can't access host memory from the device;
// that's the wrong direction for UVM. (It's the right direction
// for inefficient host pinned memory, but we don't want to use
// that here.) Thus, if device memory space != host memory space,
// we allocate and use a temporary device View to get the offsets.
// If the two spaces are equal, the template magic makes the deep
// copy go away.
typedef HelpGetLocalDiagOffsets<device_type> helper_type;
typedef typename helper_type::host_offsets_type host_offsets_type;
// Unmanaged host View that views the output array.
host_offsets_type hostOffsets (offsets.getRawPtr (), myNumRows);
// Allocate temp device View if host != device, else reuse host array.
auto deviceOffsets = helper_type::getDeviceOffsets (hostOffsets);
// NOT recursion; this calls the overload that takes a device View.
this->getLocalDiagOffsets (deviceOffsets);
helper_type::copyBackIfNeeded (hostOffsets, deviceOffsets);
}
} // namespace Tpetra
//
// Explicit instantiation macros
//
// Must be expanded from within the Tpetra namespace!
//
#define TPETRA_CRSGRAPH_GRAPH_INSTANT(LO,GO,NODE) template class CrsGraph< LO , GO , NODE >;
// WARNING: These macros exist only for backwards compatibility.
// We will remove them at some point.
#define TPETRA_CRSGRAPH_SORTROWINDICESANDVALUES_INSTANT(S,LO,GO,NODE)
#define TPETRA_CRSGRAPH_MERGEROWINDICESANDVALUES_INSTANT(S,LO,GO,NODE)
#define TPETRA_CRSGRAPH_ALLOCATEVALUES1D_INSTANT(S,LO,GO,NODE)
#define TPETRA_CRSGRAPH_ALLOCATEVALUES2D_INSTANT(S,LO,GO,NODE)
#define TPETRA_CRSGRAPH_INSTANT(S,LO,GO,NODE) \
TPETRA_CRSGRAPH_SORTROWINDICESANDVALUES_INSTANT(S,LO,GO,NODE) \
TPETRA_CRSGRAPH_MERGEROWINDICESANDVALUES_INSTANT(S,LO,GO,NODE) \
TPETRA_CRSGRAPH_ALLOCATEVALUES1D_INSTANT(S,LO,GO,NODE) \
TPETRA_CRSGRAPH_ALLOCATEVALUES2D_INSTANT(S,LO,GO,NODE)
#endif // TPETRA_CRSGRAPH_DEF_HPP
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