/usr/include/trilinos/Stokhos_Sparse3TensorUtilities.hpp is in libtrilinos-stokhos-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.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 | // $Id$
// $Source$
// @HEADER
// ***********************************************************************
//
// Stokhos Package
// Copyright (2009) Sandia Corporation
//
// Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive
// license for use of this work by or on behalf of the U.S. Government.
//
// 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 Eric T. Phipps (etphipp@sandia.gov).
//
// ***********************************************************************
// @HEADER
#ifndef STOKHOS_SPARSE_3_TENSOR_UTILITIES_HPP
#define STOKHOS_SPARSE_3_TENSOR_UTILITIES_HPP
#include "Stokhos_Sparse3Tensor.hpp"
#include "Epetra_Comm.h"
#include "Epetra_CrsGraph.h"
#include "Epetra_BlockMap.h"
#include "Epetra_LocalMap.h"
#include "Epetra_CrsMatrix.h"
#include "EpetraExt_RowMatrixOut.h"
namespace Stokhos {
//! Build an Epetra_CrsGraph from a sparse 3 tensor
/*!
* Builds a sparse graph from a sparse 3 tensor by summing over the third
* index. This graph then represents the sparsity pattern of the stochastic
* part of the block stochastic Galerkin operator. Redistributing the graph
* should then provide a suitable parallel distribution for block
* stochastic Galerkin linear solves.
*/
template <typename ordinal_type, typename value_type>
Teuchos::RCP<Epetra_CrsGraph>
sparse3Tensor2CrsGraph(
const Stokhos::OrthogPolyBasis<ordinal_type,value_type>& basis,
const Stokhos::Sparse3Tensor<ordinal_type,value_type>& Cijk,
const Epetra_Comm& comm)
{
typedef Stokhos::Sparse3Tensor<ordinal_type,value_type> Cijk_type;
// Number of stochastic rows
ordinal_type num_rows = basis.size();
// Replicated local map
Epetra_LocalMap map(num_rows, 0, comm);
// Graph to be created
Teuchos::RCP<Epetra_CrsGraph> graph =
Teuchos::rcp(new Epetra_CrsGraph(Copy, map, 0));
// Loop over Cijk entries including a non-zero in the graph at
// indices (i,j) if there is any k for which Cijk is non-zero
for (typename Cijk_type::k_iterator k_it=Cijk.k_begin();
k_it!=Cijk.k_end(); ++k_it) {
for (typename Cijk_type::kj_iterator j_it = Cijk.j_begin(k_it);
j_it != Cijk.j_end(k_it); ++j_it) {
ordinal_type j = index(j_it);
for (typename Cijk_type::kji_iterator i_it = Cijk.i_begin(j_it);
i_it != Cijk.i_end(j_it); ++i_it) {
ordinal_type i = index(i_it);
graph->InsertGlobalIndices(i, 1, &j);
}
}
}
// Sort, remove redundencies, transform to local, ...
graph->FillComplete();
return graph;
}
//! Build an Epetra_CrsGraph from a sparse 3 tensor
/*!
* Builds a sparse graph from a sparse 3 tensor by summing over the third
* index. This graph then represents the sparsity pattern of the stochastic
* part of the block stochastic Galerkin operator. Redistributing the graph
* should then provide a suitable parallel distribution for block
* stochastic Galerkin linear solves.
*/
template <typename ordinal_type, typename value_type>
Teuchos::RCP<Epetra_CrsGraph>
sparse3Tensor2CrsGraph(
const Stokhos::Sparse3Tensor<ordinal_type,value_type>& Cijk,
const Epetra_BlockMap& map)
{
typedef Stokhos::Sparse3Tensor<ordinal_type,value_type> Cijk_type;
// Graph to be created
Teuchos::RCP<Epetra_CrsGraph> graph =
Teuchos::rcp(new Epetra_CrsGraph(Copy, map, 0));
// Loop over Cijk entries including a non-zero in the graph at
// indices (i,j) if there is any k for which Cijk is non-zero
for (typename Cijk_type::k_iterator k_it=Cijk.k_begin();
k_it!=Cijk.k_end(); ++k_it) {
for (typename Cijk_type::kj_iterator j_it = Cijk.j_begin(k_it);
j_it != Cijk.j_end(k_it); ++j_it) {
ordinal_type j = index(j_it);
for (typename Cijk_type::kji_iterator i_it = Cijk.i_begin(j_it);
i_it != Cijk.i_end(j_it); ++i_it) {
ordinal_type i = index(i_it);
graph->InsertGlobalIndices(i, 1, &j);
}
}
}
// Sort, remove redundencies, transform to local, ...
graph->FillComplete();
return graph;
}
template <typename ordinal_type, typename value_type>
void
sparse3Tensor2MatrixMarket(
const Stokhos::OrthogPolyBasis<ordinal_type,value_type>& basis,
const Stokhos::Sparse3Tensor<ordinal_type,value_type>& Cijk,
const Epetra_Comm& comm,
const std::string& file)
{
Teuchos::RCP<Epetra_CrsGraph> graph =
Stokhos::sparse3Tensor2CrsGraph(basis, Cijk, comm);
Epetra_CrsMatrix mat(Copy, *graph);
mat.FillComplete();
mat.PutScalar(1.0);
EpetraExt::RowMatrixToMatrixMarketFile(file.c_str(), mat);
}
template <typename ordinal_type, typename value_type>
void
sparse3Tensor2MatrixMarket(
const Stokhos::Sparse3Tensor<ordinal_type,value_type>& Cijk,
const Epetra_BlockMap& map,
const std::string& file)
{
Teuchos::RCP<Epetra_CrsGraph> graph =
Stokhos::sparse3Tensor2CrsGraph(Cijk, map);
Epetra_CrsMatrix mat(Copy, *graph);
mat.FillComplete();
mat.PutScalar(1.0);
EpetraExt::RowMatrixToMatrixMarketFile(file.c_str(), mat);
}
} // namespace Stokhos
#endif // SPARSE_3_TENSOR_UTILITIES_HPP
|