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Tpetra Matrix/Vector Services
Version of the Day
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An example for inserting non-local entries into a Tpetra::CrsMatrix using Tpetra::CrsMatrix::insertGlobalValues(), with multiple calls to Tpetra::CrsMatrix::fillComplete().
/* // @HEADER // *********************************************************************** // // 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 */ TEUCHOS_UNIT_TEST_TEMPLATE_4_DECL( CrsMatrix, NonlocalAfterResume, LO, GO, Scalar, Node ) { RCP<Node> node = getNode<Node>(); // test that an exception is thrown when we exceed statically allocated memory typedef ScalarTraits<Scalar> ST; typedef typename ST::magnitudeType Mag; typedef ScalarTraits<Mag> MT; const global_size_t INVALID = OrdinalTraits<global_size_t>::invalid(); // get a comm RCP<const Comm<int> > comm = getDefaultComm(); const size_t numImages = size(*comm); const size_t myImageID = rank(*comm); // create a row Map, 5 rows per processor const GO numLocal = 5; RCP<const Map<LO,GO,Node> > rmap = createContigMapWithNode<LO,GO,Node>(INVALID,numLocal,comm,node); RCP<const Map<LO,GO,Node> > cmap; // create a column Map, with super- and sub-diagonal blocks { Array<GO> cols; for (GO c=rmap->getMinGlobalIndex(); c <= rmap->getMaxGlobalIndex(); ++c) cols.push_back(c); if (rmap->getMinGlobalIndex() >= rmap->getMinAllGlobalIndex() + numLocal) { for (GO c = rmap->getMinGlobalIndex()-numLocal; c < rmap->getMinGlobalIndex(); ++c) { cols.push_back(c); } } if (rmap->getMaxGlobalIndex()+numLocal <= rmap->getMaxAllGlobalIndex()) { for (GO c = rmap->getMaxGlobalIndex()+1; c <= rmap->getMaxGlobalIndex()+numLocal; ++c) { cols.push_back(c); } } cmap = createNonContigMapWithNode<LO,GO,Node>(cols(), comm, node); } { //---------------------------------------------------------------------- // put in diagonal, locally //---------------------------------------------------------------------- Tpetra::CrsMatrix<Scalar,LO,GO,Node> matrix(rmap,cmap,3,DynamicProfile); for (GO r=rmap->getMinGlobalIndex(); r <= rmap->getMaxGlobalIndex(); ++r) { matrix.insertGlobalValues(r,tuple(r),tuple(ST::one())); } // fill, but do not pack, because we will add new entries below RCP<ParameterList> params = parameterList(); params->set("Optimize Storage",false); TEST_NOTHROW ( matrix.fillComplete( params ) ); TEST_EQUALITY_CONST( matrix.isFillComplete(), true ); TEST_EQUALITY_CONST( matrix.isStorageOptimized(), false ); TEST_EQUALITY ( matrix.getGlobalNumEntries(), numLocal*numImages ); TEST_EQUALITY ( matrix.getNodeNumEntries(), (size_t)numLocal ); //---------------------------------------------------------------------- // add super-diagonal, non-locally //---------------------------------------------------------------------- // because fillComplete() was called above, we must call resumeFill() before adding new entries matrix.resumeFill(); if (rmap->getMinGlobalIndex()+numLocal < rmap->getMaxAllGlobalIndex()) { for (GO r=rmap->getMinGlobalIndex(); r <= rmap->getMaxGlobalIndex(); ++r) { matrix.insertGlobalValues(r+numLocal,tuple(r),tuple(ST::one())); } } // fill, but do not pack, because we will add new entries below params->set("Optimize Storage",false); TEST_NOTHROW ( matrix.fillComplete( params ) ); TEST_EQUALITY_CONST( matrix.isFillComplete(), true ); TEST_EQUALITY_CONST( matrix.isStorageOptimized(), false ); TEST_EQUALITY ( matrix.getGlobalNumEntries(), 2*numLocal*numImages-numLocal ); { size_t expected = numLocal; if (myImageID > 0) expected += numLocal; // super-diagonal TEST_EQUALITY( matrix.getNodeNumEntries(), expected ); } //---------------------------------------------------------------------- // add sub-diagonal block, non-locally //---------------------------------------------------------------------- // because fillComplete() was called above, we must call resumeFill() before adding new entries matrix.resumeFill(); if (rmap->getMinGlobalIndex() >= rmap->getMinAllGlobalIndex()+numLocal) { for (GO r=rmap->getMinGlobalIndex(); r <= rmap->getMaxGlobalIndex(); ++r) { matrix.insertGlobalValues(r-numLocal,tuple(r),tuple(ST::one())); } } // fill; it is okay to pack now params->set("Optimize Storage",true); TEST_NOTHROW ( matrix.fillComplete( params ) ); TEST_EQUALITY_CONST( matrix.isFillComplete(), true ); TEST_EQUALITY_CONST( matrix.isStorageOptimized(), true ); TEST_EQUALITY ( matrix.getGlobalNumEntries(), 3*numLocal*numImages-2*numLocal ); { size_t expected = numLocal; if (myImageID > 0) expected += numLocal; // super-diagonal if (myImageID < numImages-1) expected += numLocal; // sub-diagonal TEST_EQUALITY( matrix.getNodeNumEntries(), expected ); } } // All procs fail if any node fails int globalSuccess_int = -1; reduceAll( *comm, Teuchos::REDUCE_SUM, success ? 0 : 1, outArg(globalSuccess_int) ); TEST_EQUALITY_CONST( globalSuccess_int, 0 ); }
1.7.6.1