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Tpetra_LocalCrsMatrixOperator_def.hpp
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39 
40 #ifndef TPETRA_LOCALCRSMATRIXOPERATOR_DEF_HPP
41 #define TPETRA_LOCALCRSMATRIXOPERATOR_DEF_HPP
42 
43 #include "Tpetra_LocalOperator.hpp"
45 #include "KokkosSparse.hpp"
46 #include "Teuchos_TestForException.hpp"
47 #include "Teuchos_OrdinalTraits.hpp"
48 
49 namespace Tpetra {
50 
51 template<class MultiVectorScalar, class MatrixScalar, class Device>
52 LocalCrsMatrixOperator<MultiVectorScalar, MatrixScalar, Device>::
53 LocalCrsMatrixOperator (const std::shared_ptr<local_matrix_device_type>& A)
54  : A_ (A), have_A_cusparse(false)
55 {
56  const char tfecfFuncName[] = "LocalCrsMatrixOperator: ";
57  TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
58  (A_.get () == nullptr, std::invalid_argument,
59  "Input matrix A is null.");
60 }
61 
62 template<class MultiVectorScalar, class MatrixScalar, class Device>
63 LocalCrsMatrixOperator<MultiVectorScalar, MatrixScalar, Device>::
64 LocalCrsMatrixOperator (const std::shared_ptr<local_matrix_device_type>& A, const ordinal_view_type& A_ordinal_rowptrs) :
65  A_ (A),
66  A_cusparse("LocalCrsMatrixOperator_cuSPARSE", A->numRows(), A->numCols(), A->nnz(),
67  A->values, A_ordinal_rowptrs, A->graph.entries),
68  have_A_cusparse(true)
69 {
70  const char tfecfFuncName[] = "LocalCrsMatrixOperator: ";
71  TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
72  (A_.get () == nullptr, std::invalid_argument,
73  "Input matrix A is null.");
74 }
75 
76 template<class MultiVectorScalar, class MatrixScalar, class Device>
77 bool
78 LocalCrsMatrixOperator<MultiVectorScalar, MatrixScalar, Device>::
79 hasTransposeApply () const
80 {
81  return true;
82 }
83 
84 template<class MultiVectorScalar, class MatrixScalar, class Device>
85 void
86 LocalCrsMatrixOperator<MultiVectorScalar, MatrixScalar, Device>::
87 apply (Kokkos::View<const mv_scalar_type**, array_layout,
88  device_type, Kokkos::MemoryTraits<Kokkos::Unmanaged> > X,
89  Kokkos::View<mv_scalar_type**, array_layout,
90  device_type, Kokkos::MemoryTraits<Kokkos::Unmanaged> > Y,
91  const Teuchos::ETransp mode,
92  const mv_scalar_type alpha,
93  const mv_scalar_type beta) const
94 {
95  const bool conjugate = (mode == Teuchos::CONJ_TRANS);
96  const bool transpose = (mode != Teuchos::NO_TRANS);
97 
98 #ifdef HAVE_TPETRA_DEBUG
99  const char tfecfFuncName[] = "apply: ";
100 
101  TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
102  (X.extent (1) != Y.extent (1), std::runtime_error,
103  "X.extent(1) = " << X.extent (1) << " != Y.extent(1) = "
104  << Y.extent (1) << ".");
105  // If the two pointers are NULL, then they don't alias one
106  // another, even though they are equal.
107  TEUCHOS_TEST_FOR_EXCEPTION_CLASS_FUNC
108  (X.data () == Y.data () && X.data () != nullptr,
109  std::runtime_error, "X and Y may not alias one another.");
110 #endif // HAVE_TPETRA_DEBUG
111 
112  const auto op = transpose ?
113  (conjugate ? KokkosSparse::ConjugateTranspose :
114  KokkosSparse::Transpose) : KokkosSparse::NoTranspose;
115  if(have_A_cusparse)
116  {
117  KokkosSparse::spmv (op, alpha, A_cusparse, X, beta, Y);
118  }
119  else
120  {
121  KokkosSparse::spmv (op, alpha, *A_, X, beta, Y);
122  }
123 }
124 
127 template<class MultiVectorScalar, class MatrixScalar, class Device>
128 void
131  Kokkos::View<const mv_scalar_type**, array_layout,
132  device_type, Kokkos::MemoryTraits<Kokkos::Unmanaged> > X,
133  Kokkos::View<mv_scalar_type**, array_layout,
134  device_type, Kokkos::MemoryTraits<Kokkos::Unmanaged> > Y,
135  const Teuchos::ETransp mode,
136  const mv_scalar_type alpha,
137  const mv_scalar_type beta) const
138 {
139  apply(X, Y, mode, alpha, beta);
140 }
141 
142 template<class MultiVectorScalar, class MatrixScalar, class Device>
143 const typename LocalCrsMatrixOperator<MultiVectorScalar, MatrixScalar, Device>::local_matrix_device_type&
145 getLocalMatrixDevice () const
146 {
147  return *A_;
148 }
149 
150 } // namespace Tpetra
151 
152 //
153 // Explicit instantiation macro
154 //
155 // Must be expanded from within the Tpetra namespace!
156 //
157 
158 // We only explicitly instantiate for MultiVectorScalar ==
159 // MatrixScalar, which is what CrsMatrix needs.
160 
161 #define TPETRA_LOCALCRSMATRIXOPERATOR_INSTANT(SC,NT) \
162  template class LocalCrsMatrixOperator< SC, SC, NT::device_type >;
163 
164 // If we want mixed versions, we use this macro.
165 
166 #define TPETRA_LOCALCRSMATRIXOPERATOR_MIXED_INSTANT(SC,MATSC,LO,GO,NT) \
167  template class LocalCrsMatrixOperator< SC, MATSC, NT::device_type >;
168 
169 #endif // TPETRA_LOCALCRSMATRIXOPERATOR_DEF_HPP
Abstract interface for local operators (e.g., matrices and preconditioners).
void applyImbalancedRows(Kokkos::View< const mv_scalar_type **, array_layout, device_type, Kokkos::MemoryTraits< Kokkos::Unmanaged > > X, Kokkos::View< mv_scalar_type **, array_layout, device_type, Kokkos::MemoryTraits< Kokkos::Unmanaged > > Y, const Teuchos::ETransp mode, const mv_scalar_type alpha, const mv_scalar_type beta) const
Same behavior as apply() above, except give KokkosKernels a hint to use an SPMV algorithm that can ef...
Declaration of Tpetra::Details::Behavior, a class that describes Tpetra&#39;s behavior.