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Stokhos_KokkosViewFadMPVectorUnitTest.hpp
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41 
42 #include "Teuchos_TestingHelpers.hpp"
43 #include "Teuchos_UnitTestHelpers.hpp"
45 
46 #include "Kokkos_View_Fad_Fwd.hpp"
48 #include "Stokhos_Ensemble_Sizes.hpp"
49 #include "Sacado.hpp"
50 #include "Sacado_Fad_MP_Vector.hpp"
51 
52 // For computing DeviceConfig
53 #include "Kokkos_Core.hpp"
54 
55 //
56 // Tests various View< Fad< Sacado::MP::Vector<...> >,...> operations work
57 // as expected
58 //
59 
60 // Helper functions
61 
62 template <typename scalar, typename ordinal>
63 inline
64 scalar generate_vector_coefficient( const ordinal nFEM,
65  const ordinal nStoch,
66  const ordinal iColFEM,
67  const ordinal iStoch )
68 {
69  const scalar X_fem = 100.0 + scalar(iColFEM) / scalar(nFEM);
70  const scalar X_stoch = 1.0 + scalar(iStoch) / scalar(nStoch);
71  return X_fem + X_stoch;
72  //return 1.0;
73 }
74 
75 template <typename ViewType>
76 bool
77 checkVectorView(const ViewType& v,
78  Teuchos::FancyOStream& out) {
79  typedef ViewType view_type;
80  typedef typename view_type::size_type size_type;
81  typedef typename view_type::HostMirror host_view_type;
82  typedef typename host_view_type::array_type host_array_type;
84 
85  // Copy to host
86  host_view_type h_v = Kokkos::create_mirror_view(v);
87  Kokkos::deep_copy(h_v, v);
88  host_array_type h_a = h_v;
89 
90  size_type num_rows, num_cols;
91 
92  // For static, layout left, sacado dimension becomes first dimension
93  // instead of last
94  bool is_right = std::is_same< typename ViewType::array_layout,
95  Kokkos::LayoutRight >::value;
96  if (is_right || !view_type::is_contiguous) {
97  num_rows = h_a.extent(0);
98  num_cols = h_a.extent(1);
99  }
100  else {
101  num_rows = h_a.extent(1);
102  num_cols = h_a.extent(0);
103  }
104  bool success = true;
105  if (is_right || !view_type::is_contiguous) {
106  for (size_type i=0; i<num_rows; ++i) {
107  for (size_type j=0; j<num_cols; ++j) {
108  scalar_type val = h_a(i,j);
109  scalar_type val_expected =
110  generate_vector_coefficient<scalar_type>(
111  num_rows, num_cols, i, j);
112  TEUCHOS_TEST_EQUALITY(val, val_expected, out, success);
113  }
114  }
115  }
116  else {
117  for (size_type i=0; i<num_rows; ++i) {
118  for (size_type j=0; j<num_cols; ++j) {
119  scalar_type val = h_a(j,i);
120  scalar_type val_expected =
121  generate_vector_coefficient<scalar_type>(
122  num_rows, num_cols, i, j);
123  TEUCHOS_TEST_EQUALITY(val, val_expected, out, success);
124  }
125  }
126  }
127 
128  return success;
129 }
130 
131 template <typename ViewType>
132 bool
133 checkConstantFadVectorView(const ViewType& view,
134  const typename ViewType::value_type& v,
135  Teuchos::FancyOStream& out) {
136  typedef ViewType view_type;
137  typedef typename view_type::value_type fad_vector_type;
138  typedef typename fad_vector_type::value_type vector_type;
139  typedef typename vector_type::storage_type storage_type;
140  typedef typename view_type::size_type size_type;
141  typedef typename view_type::HostMirror host_view_type;
142 
143  // Copy to host
144  host_view_type h_view = Kokkos::create_mirror_view(view);
145  Kokkos::deep_copy(h_view, view);
146 
147  const size_type num_rows = h_view.extent(0);
148  const size_type num_fad = Kokkos::dimension_scalar(h_view)-1;
149  const size_type num_ensemble = storage_type::static_size;
150  bool success = true;
151  for (size_type i=0; i<num_rows; ++i) {
152  for (size_type k=0; k<num_ensemble; ++k) {
153  TEUCHOS_TEST_EQUALITY(h_view(i).val().coeff(k), v.val().coeff(k), out, success);
154  for (size_type j=0; j<num_fad; ++j) {
155  TEUCHOS_TEST_EQUALITY(h_view(i).dx(j).coeff(k), v.dx(j).coeff(k), out, success);
156  }
157  }
158  }
159 
160  return success;
161 }
162 
163 template <typename ViewType>
164 bool
165 checkConstantFadVectorView2(const ViewType& view,
166  const typename ViewType::value_type& v,
167  Teuchos::FancyOStream& out) {
168  typedef ViewType view_type;
169  typedef typename view_type::value_type fad_vector_type;
170  typedef typename fad_vector_type::value_type vector_type;
171  typedef typename vector_type::storage_type storage_type;
172  typedef typename view_type::size_type size_type;
173  typedef typename view_type::HostMirror host_view_type;
174 
175  // Copy to host
176  host_view_type h_view = Kokkos::create_mirror_view(view);
177  Kokkos::deep_copy(h_view, view);
178 
179  bool success = true;
180  const size_type num_fad = Kokkos::dimension_scalar(h_view)-1;
181  const size_type num_ensemble = storage_type::static_size;
182  for (size_type i0=0; i0<h_view.extent(0); ++i0) {
183  for (size_type i1=0; i1<h_view.extent(1); ++i1) {
184  for (size_type i2=0; i2<h_view.extent(2); ++i2) {
185  for (size_type i3=0; i3<h_view.extent(3); ++i3) {
186  for (size_type i4=0; i4<h_view.extent(4); ++i4) {
187  for (size_type i5=0; i5<h_view.extent(5); ++i5) {
188  for (size_type i6=0; i6<h_view.extent(6); ++i6) {
189  for (size_type k=0; k<num_ensemble; ++k)
190  TEUCHOS_TEST_EQUALITY(h_view.access(i0,i1,i2,i3,i4,i5,i6,0).val().coeff(k),
191  v.val().coeff(k), out, success);
192  for (size_type j=0; j<num_fad; ++j) {
193  for (size_type k=0; k<num_ensemble; ++k)
194  TEUCHOS_TEST_EQUALITY(h_view.access(i0,i1,i2,i3,i4,i5,i6,0).dx(j).coeff(k),
195  v.dx(j).coeff(k), out, success);
196  }
197  }}}}}}}
198 
199  return success;
200 }
201 
202 template <typename DataType, typename LayoutType, typename ExecutionSpace>
203 struct ApplyView {
204  typedef Kokkos::View<DataType,LayoutType,ExecutionSpace> type;
205 };
206 
207 struct NoLayout {};
208 template <typename DataType, typename ExecutionSpace>
209 struct ApplyView<DataType,NoLayout,ExecutionSpace> {
210  typedef Kokkos::View<DataType,ExecutionSpace> type;
211 };
212 
213 //
214 // Tests
215 //
216 
217 const int global_num_rows = 11;
218 const int global_ensemble_size = STOKHOS_DEFAULT_ENSEMBLE_SIZE;
219 const int global_fad_size = 5;
220 
221 TEUCHOS_UNIT_TEST_TEMPLATE_2_DECL( Kokkos_View_Fad_MP, Size, Scalar, Layout )
222 {
223  typedef typename Scalar::value_type Vector;
224  typedef typename Vector::execution_space Device;
225  typedef typename ApplyView<Scalar*,Layout,Device>::type ViewType;
226  typedef typename ViewType::size_type size_type;
227 
228  const size_type num_rows = global_num_rows;
229  const size_type num_cols = global_fad_size+1;
230  ViewType v("view", num_rows, num_cols);
231  TEUCHOS_TEST_EQUALITY(v.size(), num_rows, out, success);
232 }
233 
234 TEUCHOS_UNIT_TEST_TEMPLATE_2_DECL( Kokkos_View_Fad_MP, DeepCopy_ConstantScalar, Scalar, Layout )
235 {
236  typedef typename Scalar::value_type Vector;
237  typedef typename Vector::value_type BaseScalar;
238  typedef typename Vector::execution_space Device;
239  typedef typename ApplyView<Scalar*,Layout,Device>::type ViewType;
240  typedef typename ViewType::size_type size_type;
241 
242  const size_type num_rows = global_num_rows;
243  const size_type num_cols = global_fad_size+1;
244  ViewType v("view", num_rows, num_cols);
245  BaseScalar val = 1.2345;
246 
247  Kokkos::deep_copy( v, val );
248 
249  success = checkConstantFadVectorView(v, Scalar(val), out);
250 }
251 
252 TEUCHOS_UNIT_TEST_TEMPLATE_2_DECL( Kokkos_View_Fad_MP, Rank6, Scalar, Layout )
253 {
254  // Try and create a rank-6 view
255  typedef typename Scalar::value_type Vector;
256  typedef typename Vector::value_type BaseScalar;
257  typedef typename Vector::execution_space Device;
258  typedef typename ApplyView<Scalar******,Layout,Device>::type ViewType;
259 
260  ViewType v("view", 1, 2, 3, 4, 4, 3, global_fad_size+1);
261  BaseScalar val = 1.2345;
262 
263  Kokkos::deep_copy( v, val );
264 
265  success = checkConstantFadVectorView2(v, Scalar(val), out);
266 }
267 
268 #define VIEW_FAD_MP_VECTOR_TESTS_SCALAR_LAYOUT( SCALAR, LAYOUT ) \
269  TEUCHOS_UNIT_TEST_TEMPLATE_2_INSTANT( \
270  Kokkos_View_Fad_MP, Size, SCALAR, LAYOUT ) \
271  TEUCHOS_UNIT_TEST_TEMPLATE_2_INSTANT( \
272  Kokkos_View_Fad_MP, DeepCopy_ConstantScalar, SCALAR, LAYOUT ) \
273  TEUCHOS_UNIT_TEST_TEMPLATE_2_INSTANT( \
274  Kokkos_View_Fad_MP, Rank6, SCALAR, LAYOUT )
275 
276 #define VIEW_FAD_MP_VECTOR_TESTS_SCALAR( SCALAR ) \
277  using Kokkos::LayoutLeft; \
278  using Kokkos::LayoutRight; \
279  VIEW_FAD_MP_VECTOR_TESTS_SCALAR_LAYOUT(SCALAR, NoLayout) \
280  VIEW_FAD_MP_VECTOR_TESTS_SCALAR_LAYOUT(SCALAR, LayoutLeft) \
281  VIEW_FAD_MP_VECTOR_TESTS_SCALAR_LAYOUT(SCALAR, LayoutRight)
282 
283 #define VIEW_FAD_MP_VECTOR_TESTS_DEVICE( DEVICE ) \
284  typedef Stokhos::StaticFixedStorage<int,double,global_ensemble_size,DEVICE> SFS; \
285  typedef Sacado::MP::Vector< SFS > MP_SFS; \
286  typedef Sacado::Fad::DFad< MP_SFS > Fad_MP_SFS; \
287  VIEW_FAD_MP_VECTOR_TESTS_SCALAR( Fad_MP_SFS )
Stokhos::StandardStorage< int, double > storage_type
Kokkos::DefaultExecutionSpace execution_space
bool checkConstantFadVectorView2(const ViewType &view, const typename ViewType::value_type &v, Teuchos::FancyOStream &out)
bool checkVectorView(const ViewType &v, Teuchos::FancyOStream &out)
TEUCHOS_UNIT_TEST_TEMPLATE_2_DECL(Kokkos_View_Fad_MP, Size, Scalar, Layout)
KOKKOS_INLINE_FUNCTION constexpr std::enable_if< is_view_uq_pce< View< T, P... > >::value, unsigned >::type dimension_scalar(const View< T, P... > &view)
void deep_copy(const Stokhos::CrsMatrix< ValueType, DstDevice, Layout > &dst, const Stokhos::CrsMatrix< ValueType, SrcDevice, Layout > &src)
expr expr expr dx(i, j)
expr val()
SparseArrayIterator< index_iterator, value_iterator >::value_reference value(const SparseArrayIterator< index_iterator, value_iterator > &it)
bool checkConstantFadVectorView(const ViewType &view, const typename ViewType::value_type &v, Teuchos::FancyOStream &out)
Kokkos::View< DataType, LayoutType, ExecutionSpace > type
scalar generate_vector_coefficient(const ordinal nFEM, const ordinal nStoch, const ordinal iColFEM, const ordinal iStoch)
Stokhos::CrsMatrix< ValueType, Device, Layout >::HostMirror create_mirror_view(const Stokhos::CrsMatrix< ValueType, Device, Layout > &A)