/usr/include/trilinos/Tpetra_Details_PackTriples.hpp is in libtrilinos-tpetra-dev 12.12.1-5.
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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_DETAILS_PACKTRIPLES_HPP
#define TPETRA_DETAILS_PACKTRIPLES_HPP
#include "TpetraCore_config.h"
#include "Teuchos_Comm.hpp"
#ifdef HAVE_TPETRACORE_MPI
# include "Tpetra_Details_extractMpiCommFromTeuchos.hpp"
# include "Tpetra_Details_MpiTypeTraits.hpp"
#endif // HAVE_TPETRACORE_MPI
#include <ostream>
namespace Tpetra {
namespace Details {
//
// Search for "SKIP DOWN TO HERE" (omit quotes) for the "public"
// interface. I put "public" in quotes because it's public only for
// Tpetra developers, NOT for Tpetra users.
//
#ifdef HAVE_TPETRACORE_MPI
// It's not useful to pack or unpack if not using MPI. Thus, we only
// need to define these with MPI. For a non-MPI build, we just need
// some outer stub interface that throws an exception.
int
countPackTriplesCountMpi (MPI_Comm comm,
int& size,
std::ostream* errStrm = NULL);
int
packTriplesCountMpi (const int numEnt,
char outBuf[],
const int outBufSize,
int& outBufCurPos,
MPI_Comm comm,
std::ostream* errStrm = NULL);
template<class ScalarType, class OrdinalType>
int
countPackTriplesMpi (MPI_Datatype ordinalDt,
MPI_Datatype scalarDt,
const int numEnt,
MPI_Comm comm,
int& size,
std::ostream* errStrm = NULL)
{
using std::endl;
int errCode = MPI_SUCCESS;
int totalSize = 0; // return value
// Count the global row and column indices.
{
int curSize = 0;
// We're packing two ordinals, the row resp. column index.
errCode = MPI_Pack_size (2, ordinalDt, comm, &curSize);
if (errCode != MPI_SUCCESS) {
if (errStrm != NULL) {
*errStrm << "countPackTripleMpi: MPI_Pack_size failed on "
"ordinalDt call" << endl;
}
return errCode;
}
totalSize += curSize;
}
// Count the matrix value.
{
int curSize = 0;
errCode = MPI_Pack_size (1, scalarDt, comm, &curSize);
if (errCode != MPI_SUCCESS) {
if (errStrm != NULL) {
*errStrm << "countPackTripleMpi: MPI_Pack_size failed on "
"scalarDt call" << endl;
}
return errCode;
}
totalSize += curSize; // one Scalar
}
totalSize *= numEnt; // all the entries we want to pack
size = totalSize; // "commit" the result
return errCode;
}
template<class ScalarType, class OrdinalType>
int
packTripleMpi (const OrdinalType gblRowInd,
const OrdinalType gblColInd,
MPI_Datatype ordinalDt,
const ScalarType& val,
MPI_Datatype scalarDt,
char outBuf[],
const int outBufSize,
int& outBufCurPos,
MPI_Comm comm,
std::ostream* errStrm = NULL)
{
using std::endl;
int errCode = MPI_SUCCESS;
// Combine the two indices into a single MPI_Pack call.
OrdinalType inds[2] = {gblRowInd, gblColInd};
errCode = MPI_Pack (inds, 2, ordinalDt,
outBuf, outBufSize, &outBufCurPos, comm);
if (errCode != MPI_SUCCESS) {
if (errStrm != NULL) {
*errStrm << "packTripleMpi: MPI_Pack failed for indices i=" << gblRowInd
<< ", j=" << gblColInd << ", where outBufSize=" << outBufSize
<< " and outBufCurPos=" << outBufCurPos << "." << endl;
}
return errCode;
}
// mfh 17,20 Jan 2017: Some (generally older) MPI implementations
// want the first argument to be a pointer to nonconst, even though
// MPI_Pack does not modify that argument.
errCode = MPI_Pack (const_cast<ScalarType*> (&val), 1, scalarDt,
outBuf, outBufSize, &outBufCurPos, comm);
if (errCode != MPI_SUCCESS) {
if (errStrm != NULL) {
*errStrm << "packTripleMpi: MPI_Pack failed on val = " << val
<< endl;
}
return errCode;
}
return errCode;
}
template<class ScalarType, class OrdinalType>
int
packTriplesMpi (const OrdinalType gblRowInds[],
const OrdinalType gblColInds[],
MPI_Datatype ordinalDt,
const ScalarType vals[],
MPI_Datatype scalarDt,
const int numEnt,
char outBuf[],
const int outBufSize,
int& outBufCurPos,
MPI_Comm comm,
std::ostream* errStrm = NULL)
{
using std::endl;
int errCode = MPI_SUCCESS;
for (int k = 0; k < numEnt; ++k) {
errCode = packTripleMpi (gblRowInds[k], gblColInds[k], ordinalDt,
vals[k], scalarDt, outBuf, outBufSize,
outBufCurPos, comm, errStrm);
if (errCode != MPI_SUCCESS) {
if (errStrm != NULL) {
*errStrm << "packTriplesMpi: packTripleMpi failed at entry k=" << k
<< endl;
}
return errCode;
}
}
return errCode;
}
template<class ScalarType, class OrdinalType>
int
unpackTripleMpi (const char inBuf[],
const int inBufSize,
int& inBufCurPos,
OrdinalType& gblRowInd,
OrdinalType& gblColInd,
MPI_Datatype ordinalDt,
ScalarType& val,
MPI_Datatype scalarDt,
MPI_Comm comm,
std::ostream* errStrm = NULL)
{
using std::endl;
int errCode = MPI_SUCCESS;
// mfh 17 Jan 2017: Some (generally older) MPI implementations want
// the input buffer argument to be a pointer to nonconst, even
// though MPI_Unpack does not modify that argument.
// Combine the two indices into a single MPI_Pack call.
OrdinalType inds[2] = {static_cast<OrdinalType> (0),
static_cast<OrdinalType> (0)};
errCode = MPI_Unpack (const_cast<char*> (inBuf), inBufSize, &inBufCurPos,
inds, 2, ordinalDt, comm);
if (errCode != MPI_SUCCESS) {
if (errStrm != NULL) {
*errStrm << "unpackTripleMpi: MPI_Unpack failed when unpacking indices: "
"inBufSize=" << inBufSize << ", inBufCurPos=" << inBufCurPos << endl;
}
return errCode;
}
gblRowInd = inds[0];
gblColInd = inds[1];
// mfh 17 Jan 2017: Some (generally older) MPI implementations want
// the input buffer argument to be a pointer to nonconst, even
// though MPI_Unpack does not modify that argument.
errCode = MPI_Unpack (const_cast<char*> (inBuf), inBufSize, &inBufCurPos,
&val, 1, scalarDt, comm);
if (errCode != MPI_SUCCESS) {
if (errStrm != NULL) {
*errStrm << "unpackTripleMpi: MPI_Unpack failed when unpacking value: "
"inBufSize=" << inBufSize << ", inBufCurPos=" << inBufCurPos << endl;
}
return errCode;
}
return errCode;
}
int
unpackTriplesCountMpi (const char inBuf[],
const int inBufSize,
int& inBufCurPos,
int& numEnt,
MPI_Comm comm,
std::ostream* errStrm = NULL);
template<class ScalarType, class OrdinalType>
int
unpackTriplesMpi (const char inBuf[],
const int inBufSize,
int& inBufCurPos,
OrdinalType gblRowInds[],
OrdinalType gblColInds[],
MPI_Datatype ordinalDt,
ScalarType vals[],
MPI_Datatype scalarDt,
const int numEnt, // input arg, from unpackTriplesCountMpi
MPI_Comm comm,
std::ostream* errStrm = NULL)
{
using std::endl;
int errCode = MPI_SUCCESS;
for (int k = 0; k < numEnt; ++k) {
errCode = unpackTripleMpi (inBuf, inBufSize, inBufCurPos,
gblRowInds[k], gblColInds[k], ordinalDt,
vals[k], scalarDt, comm, errStrm);
if (errCode != MPI_SUCCESS) {
if (errStrm != NULL) {
*errStrm << "unpackTriplesMpi: packTripleMpi failed at entry k=" << k
<< ": inBufSize=" << inBufSize
<< ", inBufCurPos=" << inBufCurPos
<< "." << endl;
}
return errCode;
}
}
return errCode;
}
#endif // HAVE_TPETRACORE_MPI
//
// SKIP DOWN TO HERE FOR "PUBLIC" INTERFACE
//
/// \brief Compute the buffer size required by packTriples for packing
/// the number of matrix entries ("triples").
///
/// countPackTriples tells me an upper bound on how much buffer space
/// I need to hold numEnt triples. packTriplesCount actually packs
/// numEnt, the number of triples. countPackTriplesCount tells me an
/// upper bound on how much buffer space I need to hold the number of
/// triples, not the triples themselves.
///
/// \param comm [in] Communicator used in sending and receiving the
/// packed entries. (MPI wants this, so we have to include it.).
/// \param size [out] Pack buffer size in bytes (sizeof(char)).
/// \param errStrm [out] If nonnull, print any error messages to this
/// stream, else don't print error messages.
///
/// \return Error code. MPI_SUCCESS (0) if successful, else nonzero.
///
/// \warning It only makes sense to call this function if using MPI.
/// If <i>not</i> building with MPI, this function is a stub that
/// returns nonzero.
int
countPackTriplesCount (const ::Teuchos::Comm<int>& comm,
int& size,
std::ostream* errStrm = NULL);
/// \brief Compute the buffer size required by packTriples for packing
/// \c numEnt number of (i,j,A(i,j)) matrix entries ("triples").
///
/// This function is NOT the same thing as packTriplesCount.
/// countPackTriples tells me an upper bound on how much buffer space
/// I need to hold numEnt triples. packTriplesCount actually packs
/// numEnt, the number of triples. countPackTriplesCount tells me an
/// upper bound on how much buffer space I need to hold the number of
/// triples, not the triples themselves.
///
/// \tparam ScalarType Type of each matrix entry A(i,j).
/// \tparam OrdinalType Type of each matrix index i or j.
///
/// \param numEnt [in] Number of matrix entries ("triples") to pack.
/// \param comm [in] Communicator used in sending and receiving the
/// packed entries. (MPI wants this, so we have to include it.).
/// \param size [out] Pack buffer size in bytes (sizeof(char)).
/// \param errStrm [out] If nonnull, print any error messages to this
/// stream, else don't print error messages.
///
/// \return Error code. MPI_SUCCESS (0) if successful, else nonzero.
///
/// \warning It only makes sense to call this function if using MPI.
/// If <i>not</i> building with MPI, this function is a stub that
/// returns nonzero.
template<class ScalarType, class OrdinalType>
int
countPackTriples (const int numEnt,
const ::Teuchos::Comm<int>& comm,
int& size, // output argument
std::ostream* errStrm = NULL)
{
#ifdef HAVE_TPETRACORE_MPI
using ::Tpetra::Details::extractMpiCommFromTeuchos;
using ::Tpetra::Details::MpiTypeTraits;
static_assert (MpiTypeTraits<ScalarType>::isSpecialized, "countPackTriples: "
"ScalarType lacks an MpiTypeTraits specialization.");
static_assert (MpiTypeTraits<OrdinalType>::isSpecialized, "countPackTriples: "
"OrdinalType lacks an MpiTypeTraits specialization.");
MPI_Comm mpiComm = extractMpiCommFromTeuchos (comm);
MPI_Datatype ordinalDt = MpiTypeTraits<OrdinalType>::getType ();
MPI_Datatype scalarDt = MpiTypeTraits<ScalarType>::getType ();
const int errCode =
countPackTriplesMpi<ScalarType, OrdinalType> (ordinalDt, scalarDt,
numEnt, mpiComm,
size, errStrm);
if (MpiTypeTraits<ScalarType>::needsFree) {
(void) MPI_Type_free (&scalarDt);
}
if (MpiTypeTraits<OrdinalType>::needsFree) {
(void) MPI_Type_free (&ordinalDt);
}
return errCode;
#else // NOT HAVE_TPETRACORE_MPI
if (errStrm != NULL) {
*errStrm << "countPackTriples: Not implemented (no need; there's no need "
"to pack or unpack anything if there's only one process)." << std::endl;
}
return -1;
#endif // HAVE_TPETRACORE_MPI
}
/// \brief Pack the count (number) of matrix triples.
///
/// This function is NOT the same thing as countPackTriples.
/// countPackTriples tells me an upper bound on how much buffer space
/// I need to hold numEnt triples. packTriplesCount actually packs
/// numEnt, the number of triples. countPackTriplesCount tells me an
/// upper bound on how much buffer space I need to hold the number of
/// triples, not the triples themselves.
///
/// \param numEnt [in] Number of matrix entries ("triples") to pack.
/// \param outBuf [out] Output buffer.
/// \param outBufSize [out] Total output buffer size in bytes.
/// \param outBufCurPos [in/out] Current position from which to start
/// writing to the output buffer. This corresponds to the
/// 'position' in/out argument of MPI_Pack.
/// \param comm [in] Communicator used in sending and receiving the
/// packed entries. (MPI wants this, so we have to include it.).
/// \param errStrm [out] If nonnull, print any error messages to this
/// stream, else don't print error messages.
///
/// \return Error code. MPI_SUCCESS (0) if successful, else nonzero.
///
/// \warning It only makes sense to call this function if using MPI.
/// If <i>not</i> building with MPI, this function is a stub that
/// returns nonzero.
int
packTriplesCount (const int numEnt,
char outBuf[],
const int outBufSize,
int& outBufCurPos,
const ::Teuchos::Comm<int>& comm,
std::ostream* errStrm = NULL);
/// \brief Pack matrix entries ("triples" (i, j, A(i,j))) into the
/// given output buffer.
///
/// \tparam ScalarType Type of each matrix entry A(i,j).
/// \tparam OrdinalType Type of each matrix index i or j.
///
/// \param gblRowInds [in] Row indices to pack.
/// \param gblColInds [in] Column indices to pack.
/// \param val [in] Matrix values A(i,j) to pack.
/// \param numEnt [in] Number of matrix entries ("triples") to pack.
/// \param outBuf [out] Output buffer.
/// \param outBufSize [out] Total output buffer size in bytes.
/// \param outBufCurPos [in/out] Current position from which to start
/// writing to the output buffer. This corresponds to the
/// 'position' in/out argument of MPI_Pack.
/// \param comm [in] Communicator used in sending and receiving the
/// packed entries. (MPI wants this, so we have to include it.).
/// \param errStrm [out] If nonnull, print any error messages to this
/// stream, else don't print error messages.
///
/// \return Error code. MPI_SUCCESS (0) if successful, else nonzero.
///
/// \warning It only makes sense to call this function if using MPI.
/// If <i>not</i> building with MPI, this function is a stub that
/// returns nonzero.
template<class ScalarType, class OrdinalType>
int
#ifdef HAVE_TPETRACORE_MPI
packTriples (const OrdinalType gblRowInds[],
const OrdinalType gblColInds[],
const ScalarType vals[],
const int numEnt,
char outBuf[],
const int outBufSize,
int& outBufCurPos,
const ::Teuchos::Comm<int>& comm,
std::ostream* errStrm = NULL)
#else // NOT HAVE_TPETRACORE_MPI
packTriples (const OrdinalType /* gblRowInds */ [],
const OrdinalType /* gblColInds */ [],
const ScalarType /* vals */ [],
const int /* numEnt */,
char /* outBuf */ [],
const int /* outBufSize */,
int& /* outBufCurPos */,
const ::Teuchos::Comm<int>& /* comm */,
std::ostream* errStrm = NULL)
#endif // HAVE_TPETRACORE_MPI
{
#ifdef HAVE_TPETRACORE_MPI
using ::Tpetra::Details::extractMpiCommFromTeuchos;
using ::Tpetra::Details::MpiTypeTraits;
static_assert (MpiTypeTraits<ScalarType>::isSpecialized, "packTriples: "
"ScalarType lacks an MpiTypeTraits specialization.");
static_assert (MpiTypeTraits<OrdinalType>::isSpecialized, "packTriples: "
"OrdinalType lacks an MpiTypeTraits specialization.");
MPI_Comm mpiComm = extractMpiCommFromTeuchos (comm);
MPI_Datatype ordinalDt = MpiTypeTraits<OrdinalType>::getType ();
MPI_Datatype scalarDt = MpiTypeTraits<ScalarType>::getType ();
const int errCode =
packTriplesMpi (gblRowInds, gblColInds, ordinalDt, vals, scalarDt,
numEnt, outBuf, outBufSize, outBufCurPos, mpiComm, errStrm);
if (MpiTypeTraits<ScalarType>::needsFree) {
(void) MPI_Type_free (&scalarDt);
}
if (MpiTypeTraits<OrdinalType>::needsFree) {
(void) MPI_Type_free (&ordinalDt);
}
return errCode;
#else // NOT HAVE_TPETRACORE_MPI
if (errStrm != NULL) {
*errStrm << "packTriples: Not implemented (no need; there's no need to "
"pack or unpack anything if there's only one process)." << std::endl;
}
return -1;
#endif // HAVE_TPETRACORE_MPI
}
/// \brief Unpack just the count of triples from the given input
/// buffer.
///
/// We store the count of triples as an \c int, because MPI buffer
/// sizes are \c int.
///
/// \param inBuf [in] Input buffer.
/// \param inBufSize [out] Total input buffer size in bytes.
/// \param inBufCurPos [in/out] Current position from which to start
/// reading from the input buffer. This corresponds to the
/// 'position' in/out argument of MPI_Unpack.
/// \param numEnt [out] Number of matrix entries ("triples") that were
/// packed.
/// \param comm [in] Communicator used in sending and receiving the
/// packed entries. (MPI wants this, so we have to include it.).
/// \param errStrm [out] If nonnull, print any error messages to this
/// stream, else don't print error messages.
///
/// \return Error code. MPI_SUCCESS (0) if successful, else nonzero.
///
/// \warning It only makes sense to call this function if using MPI.
/// If <i>not</i> building with MPI, this function is a stub that
/// returns nonzero.
int
unpackTriplesCount (const char inBuf[],
const int inBufSize,
int& inBufCurPos,
int& numEnt, // output argument!
const ::Teuchos::Comm<int>& comm,
std::ostream* errStrm = NULL);
/// \brief Unpack matrix entries ("triples" (i, j, A(i,j))) from the
/// given input buffer.
///
/// \tparam ScalarType Type of each matrix entry A(i,j).
/// \tparam OrdinalType Type of each matrix index i or j.
///
/// \param inBuf [in] Input buffer.
/// \param inBufSize [out] Total pack buffer size in bytes (sizeof(char)).
/// \param inBufCurPos [in/out] Current position from which to start
/// reading from the input buffer. This corresponds to the
/// 'position' in/out argument of MPI_Unpack.
/// \param gblRowInds [out] Row indices unpacked.
/// \param gblColInds [out] Column indices unpacked.
/// \param val [out] Matrix values A(i,j) unpacked.
/// \param numEnt [in] Number of matrix entries ("triples") to unpack.
/// If you don't know it, then you should have senders pack the
/// triples count as the first thing in the buffer, and unpack it
/// first via unpackTriplesCount().
/// \param comm [in] Communicator used in sending and receiving the
/// packed entries. (MPI wants this, so we have to include it.).
/// \param errStrm [out] If nonnull, print any error messages to this
/// stream, else don't print error messages.
///
/// \return Error code. MPI_SUCCESS (0) if successful, else nonzero.
///
/// \warning It only makes sense to call this function if using MPI.
/// If <i>not</i> building with MPI, this function is a stub that
/// returns nonzero.
template<class ScalarType, class OrdinalType>
int
#ifdef HAVE_TPETRACORE_MPI
unpackTriples (const char inBuf[],
const int inBufSize,
int& inBufCurPos,
OrdinalType gblRowInds[],
OrdinalType gblColInds[],
ScalarType vals[],
const int numEnt,
const ::Teuchos::Comm<int>& comm,
std::ostream* errStrm = NULL)
#else // NOT HAVE_TPETRACORE_MPI
unpackTriples (const char /* inBuf */ [],
const int /* inBufSize */,
int& /* inBufCurPos */,
OrdinalType /* gblRowInds */ [],
OrdinalType /* gblColInds */ [],
ScalarType /* vals */ [],
const int /* numEnt */,
const ::Teuchos::Comm<int>& /* comm */,
std::ostream* errStrm = NULL)
#endif // HAVE_TPETRACORE_MPI
{
#ifdef HAVE_TPETRACORE_MPI
using ::Tpetra::Details::extractMpiCommFromTeuchos;
using ::Tpetra::Details::MpiTypeTraits;
static_assert (MpiTypeTraits<ScalarType>::isSpecialized, "unpackTriples: "
"ScalarType lacks an MpiTypeTraits specialization.");
static_assert (MpiTypeTraits<OrdinalType>::isSpecialized, "unpackTriples: "
"OrdinalType lacks an MpiTypeTraits specialization.");
MPI_Comm mpiComm = extractMpiCommFromTeuchos (comm);
MPI_Datatype ordinalDt = MpiTypeTraits<OrdinalType>::getType ();
MPI_Datatype scalarDt = MpiTypeTraits<ScalarType>::getType ();
const int errCode =
unpackTriplesMpi (inBuf, inBufSize, inBufCurPos,
gblRowInds, gblColInds, ordinalDt,
vals, scalarDt, numEnt, mpiComm, errStrm);
if (MpiTypeTraits<ScalarType>::needsFree) {
(void) MPI_Type_free (&scalarDt);
}
if (MpiTypeTraits<OrdinalType>::needsFree) {
(void) MPI_Type_free (&ordinalDt);
}
return errCode;
#else // NOT HAVE_TPETRACORE_MPI
if (errStrm != NULL) {
*errStrm << "unpackTriples: Not implemented (no need; there's no need to "
"pack or unpack anything if there's only one process)." << std::endl;
}
return -1;
#endif // HAVE_TPETRACORE_MPI
}
} // namespace Details
} // namespace Tpetra
#endif // TPETRA_DETAILS_PACKTRIPLES_HPP
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