/usr/include/trilinos/Tsqr_TestSetup.hpp is in libtrilinos-tpetra-dev 12.4.2-2.
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 | //@HEADER
// ************************************************************************
//
// Kokkos: Node API and Parallel Node Kernels
// 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 __TSQR_TestSetup_hpp
#define __TSQR_TestSetup_hpp
#include <Tsqr_MessengerBase.hpp>
#include <Tsqr_Random_GlobalMatrix.hpp>
#include <Tsqr_Matrix.hpp>
#include <Teuchos_ScalarTraits.hpp>
#include <vector>
namespace TSQR {
namespace Test {
template<class Ordinal, class CommOrdinal>
Ordinal
numLocalRows (const Ordinal nrowsGlobal,
const CommOrdinal myRank,
const CommOrdinal nprocs)
{
const Ordinal nrowsLocal = nrowsGlobal / Ordinal(nprocs);
const Ordinal remainder = nrowsGlobal - nrowsLocal * Ordinal(nprocs);
if (myRank != nprocs - 1)
return nrowsLocal;
else
return nrowsLocal + remainder;
}
/// \param generator [in/out] Proc 0 is the only MPI process that
/// generates pseudorandom numbers. This allows us to use a
/// sequential PRNG. Otherwise, we would have to use a parallel
/// PRNG, in order to prevent correlations between numbers
/// generated on different MPI processes. On processes other than
/// Proc 0, generator is not touched.
template<class MatrixViewType, class Generator>
void
distributedTestProblem (Generator& generator,
MatrixViewType& A_local,
MessengerBase<typename MatrixViewType::ordinal_type>* const ordinalComm,
MessengerBase<typename MatrixViewType::scalar_type>* const scalarComm)
{
typedef typename MatrixViewType::ordinal_type ordinal_type;
typedef typename MatrixViewType::scalar_type scalar_type;
typedef typename Teuchos::ScalarTraits< scalar_type >::magnitudeType magnitude_type;
const int myRank = scalarComm->rank();
const ordinal_type ncols = A_local.ncols();
if (myRank == 0)
{
// Generate some singular values for the test problem.
std::vector< magnitude_type > singular_values (ncols);
singular_values[0] = 1.0;
for (ordinal_type k = 1; k < ncols; ++k)
singular_values[k] = singular_values[k-1] / double(2);
// Generate the test problem. All MPI processes
// participate, but only Proc 0 generates the (pseudo)random
// numbers.
TSQR::Random::randomGlobalMatrix (&generator, A_local,
&singular_values[0], ordinalComm,
scalarComm);
}
else
{
// This helps C++ deduce the type; the values aren't read on
// this proc.
magnitude_type singular_values[1];
// All MPI processes participate in the distribution of the
// test matrix.
TSQR::Random::randomGlobalMatrix (&generator, A_local,
&singular_values[0], ordinalComm,
scalarComm);
}
}
} // namespace Test
} // namespace TSQR
#endif // __TSQR_TestSetup_hpp
|