GCC Code Coverage Report


Directory: ./
File: openvdb_ax/openvdb_ax/compiler/VolumeExecutable.cc
Date: 2022-07-25 17:40:05
Exec Total Coverage
Lines: 361 440 82.0%
Functions: 301 631 47.7%
Branches: 786 3925 20.0%

Line Branch Exec Source
1 // Copyright Contributors to the OpenVDB Project
2 // SPDX-License-Identifier: MPL-2.0
3
4 /// @file compiler/VolumeExecutable.cc
5
6 #include "VolumeExecutable.h"
7 #include "Logger.h"
8
9 #include "openvdb_ax/Exceptions.h"
10 // @TODO refactor so we don't have to include VolumeComputeGenerator.h,
11 // but still have the functions defined in one place
12 #include "openvdb_ax/codegen/VolumeComputeGenerator.h"
13 #include "openvdb_ax/codegen/String.h"
14
15 #include <openvdb/Exceptions.h>
16 #include <openvdb/Types.h>
17 #include <openvdb/math/Coord.h>
18 #include <openvdb/math/Transform.h>
19 #include <openvdb/math/Vec3.h>
20 #include <openvdb/tree/ValueAccessor.h>
21 #include <openvdb/tree/LeafManager.h>
22 #include <openvdb/tree/NodeManager.h>
23
24 #include <tbb/parallel_for.h>
25 #include <tbb/task_group.h>
26 #include <tbb/concurrent_vector.h>
27
28 #include <memory>
29
30 namespace openvdb {
31 OPENVDB_USE_VERSION_NAMESPACE
32 namespace OPENVDB_VERSION_NAME {
33
34 namespace ax {
35
36 /// @brief Settings which are stored on the volume executer
37 /// and are configurable by the user.
38
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1504 struct VolumeExecutable::Settings
39 {
40 Index mTreeExecutionLevelMin = 0;
41 Index mTreeExecutionLevelMax = FloatTree::DEPTH-1;
42 bool mCreateMissing = true;
43 IterType mValueIterator = IterType::ON;
44 Streaming mActiveTileStreaming = Streaming::AUTO;
45 size_t mGrainSize = 1;
46 size_t mTileGrainSize = 32;
47 AttributeBindings mBindings;
48 };
49
50 namespace {
51
52 /// @brief Volume Kernel types
53 ///
54 using KernelBufferFunctionPtr = std::add_pointer<codegen::VolumeKernelBuffer::Signature>::type;
55 using KernelNodeFunctionPtr = std::add_pointer<codegen::VolumeKernelNode::Signature>::type;
56
57 template <typename ValueT>
58 using ConverterT = typename openvdb::BoolGrid::ValueConverter<ValueT>::Type;
59 using SupportedTypeList = openvdb::TypeList<
60 ConverterT<double>,
61 ConverterT<float>,
62 ConverterT<int64_t>,
63 ConverterT<int32_t>,
64 ConverterT<int16_t>,
65 ConverterT<bool>,
66 ConverterT<openvdb::math::Vec2<double>>,
67 ConverterT<openvdb::math::Vec2<float>>,
68 ConverterT<openvdb::math::Vec2<int32_t>>,
69 ConverterT<openvdb::math::Vec3<double>>,
70 ConverterT<openvdb::math::Vec3<float>>,
71 ConverterT<openvdb::math::Vec3<int32_t>>,
72 ConverterT<openvdb::math::Vec4<double>>,
73 ConverterT<openvdb::math::Vec4<float>>,
74 ConverterT<openvdb::math::Vec4<int32_t>>,
75 ConverterT<openvdb::math::Mat3<double>>,
76 ConverterT<openvdb::math::Mat3<float>>,
77 ConverterT<openvdb::math::Mat4<double>>,
78 ConverterT<openvdb::math::Mat4<float>>,
79 ConverterT<std::string>>;
80
81 inline bool supported(const ast::tokens::CoreType type)
82 {
83
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5054 switch (type) {
84 case ast::tokens::BOOL : return true;
85 case ast::tokens::INT16 : return true;
86 case ast::tokens::INT32 : return true;
87 case ast::tokens::INT64 : return true;
88 case ast::tokens::FLOAT : return true;
89 case ast::tokens::DOUBLE : return true;
90 case ast::tokens::VEC2I : return true;
91 case ast::tokens::VEC2F : return true;
92 case ast::tokens::VEC2D : return true;
93 case ast::tokens::VEC3I : return true;
94 case ast::tokens::VEC3F : return true;
95 case ast::tokens::VEC3D : return true;
96 case ast::tokens::VEC4I : return true;
97 case ast::tokens::VEC4F : return true;
98 case ast::tokens::VEC4D : return true;
99 case ast::tokens::MAT3F : return true;
100 case ast::tokens::MAT3D : return true;
101 case ast::tokens::MAT4F : return true;
102 case ast::tokens::MAT4D : return true;
103 case ast::tokens::STRING : return true;
104 case ast::tokens::UNKNOWN :
105 default : return false;
106 }
107 }
108
109 inline openvdb::GridBase::Ptr
110 4 createGrid(const ast::tokens::CoreType& type)
111 {
112 // assert so the executer can be marked as noexcept (assuming nothing throws in compute)
113
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4 assert(supported(type) && "Could not retrieve accessor from unsupported type");
114
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4 switch (type) {
115 case ast::tokens::BOOL : return ConverterT<bool>::create();
116 case ast::tokens::INT16 : return ConverterT<int16_t>::create();
117 case ast::tokens::INT32 : return ConverterT<int32_t>::create();
118 case ast::tokens::INT64 : return ConverterT<int64_t>::create();
119 3 case ast::tokens::FLOAT : return ConverterT<float>::create();
120 case ast::tokens::DOUBLE : return ConverterT<double>::create();
121 case ast::tokens::VEC2D : return ConverterT<openvdb::math::Vec2<double>>::create();
122 case ast::tokens::VEC2F : return ConverterT<openvdb::math::Vec2<float>>::create();
123 case ast::tokens::VEC2I : return ConverterT<openvdb::math::Vec2<int32_t>>::create();
124 case ast::tokens::VEC3D : return ConverterT<openvdb::math::Vec3<double>>::create();
125 2 case ast::tokens::VEC3F : return ConverterT<openvdb::math::Vec3<float>>::create();
126 case ast::tokens::VEC3I : return ConverterT<openvdb::math::Vec3<int32_t>>::create();
127 case ast::tokens::VEC4D : return ConverterT<openvdb::math::Vec4<double>>::create();
128 case ast::tokens::VEC4F : return ConverterT<openvdb::math::Vec4<float>>::create();
129 case ast::tokens::VEC4I : return ConverterT<openvdb::math::Vec4<int32_t>>::create();
130 case ast::tokens::MAT3D : return ConverterT<openvdb::math::Mat3<double>>::create();
131 case ast::tokens::MAT3F : return ConverterT<openvdb::math::Mat3<float>>::create();
132 case ast::tokens::MAT4D : return ConverterT<openvdb::math::Mat4<double>>::create();
133 case ast::tokens::MAT4F : return ConverterT<openvdb::math::Mat4<float>>::create();
134 case ast::tokens::STRING : return ConverterT<std::string>::create();
135 case ast::tokens::UNKNOWN :
136 default : return nullptr;
137 }
138 }
139
140 struct GridCache
141 {
142 inline void addWriteGrid(GridBase& grid)
143 {
144
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4915 mWrite.emplace_back(&grid);
145 4915 }
146
147 5054 inline void addReadGrid(GridBase& grid, const bool copy)
148 {
149
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5054 if (copy) {
150 // deepCopyGrid returns a shared pointer
151
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334 mReadCache.emplace_back(grid.deepCopyGrid());
152 334 mRead.emplace_back(mReadCache.back().get());
153 }
154 else {
155 4720 mRead.emplace_back(&grid);
156 }
157 5054 }
158
159 std::vector<GridBase*> mWrite;
160 std::vector<GridBase*> mRead;
161 std::vector<GridBase::Ptr> mReadCache;
162 };
163
164 /// @brief Shared data for the parallel operator
165 struct OpData
166 {
167 KernelBufferFunctionPtr mKernelValueBuffer;
168 KernelNodeFunctionPtr mKernelNode;
169 const CustomData* mCustomData;
170 const AttributeRegistry* mAttributeRegistry;
171 std::vector<void*> mVoidTransforms;
172 openvdb::GridBase** mGrids;
173 size_t mActiveIndex;
174 Index mTreeLevelMin; // only used with NodeManagers
175 Index mTreeLevelMax; // only used with NodeManagers
176 size_t mIterMode; // 0 = OFF, 1 = ON, 2 = ALL
177 bool mActiveTileStreaming;
178 size_t mTileGrainSize;
179 };
180
181 /// The arguments of the generated function
182 struct VolumeFunctionArguments
183 {
184 struct Accessors
185 {
186 using UniquePtr = std::unique_ptr<Accessors>;
187 virtual ~Accessors() = default;
188 };
189
190 template <typename TreeT>
191 struct TypedAccessor final : public Accessors
192 {
193 using UniquePtr = std::unique_ptr<TypedAccessor<TreeT>>;
194 19478848 TypedAccessor(TreeT& tree) : mAccessor(new tree::ValueAccessor<TreeT>(tree)) {}
195
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19478848 ~TypedAccessor() override final = default;
196 const std::unique_ptr<tree::ValueAccessor<TreeT>> mAccessor;
197 };
198
199 ///////////////////////////////////////////////////////////////////////
200 ///////////////////////////////////////////////////////////////////////
201
202 4264813 VolumeFunctionArguments(const OpData& data, openvdb::GridBase** read, const AttributeRegistry& reg)
203 4264813 : mData(data)
204 , mAccessors()
205
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4264813 , mVoidAccessors()
206 {
207
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4264813 mAccessors.reserve(data.mVoidTransforms.size());
208
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4264813 mVoidAccessors.reserve(data.mVoidTransforms.size());
209
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9134525 for (const auto& regdata : reg.data()) {
210
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4869712 this->addAccessor(*read, regdata.type());
211 4869712 ++read;
212 }
213 4264813 }
214
215 /// @brief Given a built version of the function signature, automatically
216 /// bind the current arguments and return a callable function
217 /// which takes no arguments
218 inline auto bindBufferKernel()
219 {
220 using FunctionTraitsT = codegen::VolumeKernelBuffer::FunctionTraitsT;
221 using ReturnT = FunctionTraitsT::ReturnType;
222
223 return [&](const openvdb::Coord& origin, void* buffer, Index64* mask, const size_t size) -> ReturnT {
224 135256966 return mData.mKernelValueBuffer(static_cast<FunctionTraitsT::Arg<0>::Type>(mData.mCustomData),
225 reinterpret_cast<FunctionTraitsT::Arg<1>::Type>(origin.data()),
226 static_cast<FunctionTraitsT::Arg<2>::Type>(buffer),
227 static_cast<FunctionTraitsT::Arg<3>::Type>(mask),
228 static_cast<FunctionTraitsT::Arg<4>::Type>(size),
229
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135256966 static_cast<FunctionTraitsT::Arg<5>::Type>(mData.mIterMode),
230 static_cast<FunctionTraitsT::Arg<6>::Type>(mVoidAccessors.data()),
231 static_cast<FunctionTraitsT::Arg<7>::Type>(mData.mVoidTransforms.data()),
232
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135256966 static_cast<FunctionTraitsT::Arg<8>::Type>(mData.mActiveIndex));
233 };
234 }
235
236 inline auto bindNodeKernel(void* activeAccessor)
237 {
238 using FunctionTraitsT = codegen::VolumeKernelNode::FunctionTraitsT;
239 using ReturnT = FunctionTraitsT::ReturnType;
240
241 return [&, activeAccessor](const openvdb::Coord& ijk) -> ReturnT {
242 80343 return mData.mKernelNode(static_cast<FunctionTraitsT::Arg<0>::Type>(mData.mCustomData),
243 reinterpret_cast<FunctionTraitsT::Arg<1>::Type>(ijk.data()),
244 static_cast<FunctionTraitsT::Arg<2>::Type>(mVoidAccessors.data()),
245 static_cast<FunctionTraitsT::Arg<3>::Type>(mData.mVoidTransforms.data()),
246
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80338 static_cast<FunctionTraitsT::Arg<4>::Type>(mData.mActiveIndex),
247 80343 static_cast<FunctionTraitsT::Arg<5>::Type>(activeAccessor));
248 };
249 }
250
251 private:
252 template <typename TreeT>
253 inline void
254 9739424 addAccessor(TreeT& tree)
255 {
256
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9739424 typename TypedAccessor<TreeT>::UniquePtr accessor(new TypedAccessor<TreeT>(tree));
257
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9739424 mVoidAccessors.emplace_back(accessor->mAccessor.get());
258
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9739424 mAccessors.emplace_back(std::move(accessor));
259 9739424 }
260
261 inline void
262 4869712 addAccessor(openvdb::GridBase* grid, const ast::tokens::CoreType& type)
263 {
264
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4869712 assert(grid);
265 // assert so the executer can be marked as noexcept (assuming nothing throws in compute)
266
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4869712 assert(supported(type) && "Could not retrieve accessor from unsupported type");
267
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4869712 switch (type) {
268 50869 case ast::tokens::BOOL : { this->addAccessor(static_cast<ConverterT<bool>*>(grid)->tree()); return; }
269 19254 case ast::tokens::INT16 : { this->addAccessor(static_cast<ConverterT<int16_t>*>(grid)->tree()); return; }
270 47812 case ast::tokens::INT32 : { this->addAccessor(static_cast<ConverterT<int32_t>*>(grid)->tree()); return; }
271 40226 case ast::tokens::INT64 : { this->addAccessor(static_cast<ConverterT<int64_t>*>(grid)->tree()); return; }
272 4240317 case ast::tokens::FLOAT : { this->addAccessor(static_cast<ConverterT<float>*>(grid)->tree()); return; }
273 60840 case ast::tokens::DOUBLE : { this->addAccessor(static_cast<ConverterT<double>*>(grid)->tree()); return; }
274 29458 case ast::tokens::VEC2D : { this->addAccessor(static_cast<ConverterT<openvdb::math::Vec2<double>>*>(grid)->tree()); return; }
275 29458 case ast::tokens::VEC2F : { this->addAccessor(static_cast<ConverterT<openvdb::math::Vec2<float>>*>(grid)->tree()); return; }
276 29458 case ast::tokens::VEC2I : { this->addAccessor(static_cast<ConverterT<openvdb::math::Vec2<int32_t>>*>(grid)->tree()); return; }
277 31123 case ast::tokens::VEC3D : { this->addAccessor(static_cast<ConverterT<openvdb::math::Vec3<double>>*>(grid)->tree()); return; }
278 31058 case ast::tokens::VEC3F : { this->addAccessor(static_cast<ConverterT<openvdb::math::Vec3<float>>*>(grid)->tree()); return; }
279 30226 case ast::tokens::VEC3I : { this->addAccessor(static_cast<ConverterT<openvdb::math::Vec3<int32_t>>*>(grid)->tree()); return; }
280 29932 case ast::tokens::VEC4D : { this->addAccessor(static_cast<ConverterT<openvdb::math::Vec4<double>>*>(grid)->tree()); return; }
281 29878 case ast::tokens::VEC4F : { this->addAccessor(static_cast<ConverterT<openvdb::math::Vec4<float>>*>(grid)->tree()); return; }
282 29866 case ast::tokens::VEC4I : { this->addAccessor(static_cast<ConverterT<openvdb::math::Vec4<int32_t>>*>(grid)->tree()); return; }
283 33690 case ast::tokens::MAT3D : { this->addAccessor(static_cast<ConverterT<openvdb::math::Mat3<double>>*>(grid)->tree()); return; }
284 30510 case ast::tokens::MAT3F : { this->addAccessor(static_cast<ConverterT<openvdb::math::Mat3<float>>*>(grid)->tree()); return; }
285 30822 case ast::tokens::MAT4D : { this->addAccessor(static_cast<ConverterT<openvdb::math::Mat4<double>>*>(grid)->tree()); return; }
286 30615 case ast::tokens::MAT4F : { this->addAccessor(static_cast<ConverterT<openvdb::math::Mat4<float>>*>(grid)->tree()); return; }
287 14300 case ast::tokens::STRING : { this->addAccessor(static_cast<ConverterT<std::string>*>(grid)->tree()); return; }
288 case ast::tokens::UNKNOWN :
289 default : return;
290 }
291 }
292
293 private:
294 const OpData& mData;
295 std::vector<Accessors::UniquePtr> mAccessors;
296 std::vector<void*> mVoidAccessors;
297 };
298
299 struct ValueOnIter
300 {
301 template<typename NodeT>
302 using IterTraitsT = typename tree::IterTraits<NodeT, typename NodeT::ValueOnIter>;
303 };
304
305 struct ValueAllIter
306 {
307 template<typename NodeT>
308 using IterTraitsT = typename tree::IterTraits<NodeT, typename NodeT::ValueAllIter>;
309 };
310
311 struct ValueOffIter
312 {
313 template<typename NodeT>
314 using IterTraitsT = typename tree::IterTraits<NodeT, typename NodeT::ValueOffIter>;
315 };
316
317 template <typename TreeT, typename IterT>
318 struct VolumeExecuterOp
319 {
320 using LeafManagerT = tree::LeafManager<TreeT>;
321 using LeafRangeT = typename LeafManagerT::LeafRange;
322 using RootNodeT = typename TreeT::RootNodeType;
323 using LeafNodeT = typename TreeT::LeafNodeType;
324 using ValueT = typename TreeT::ValueType;
325 using IterType = typename IterT::template IterTraitsT<LeafNodeT>;
326
327 /// @brief Small struct that represents a single VDB value
328 struct Tile {
329 Tile() = default;
330 Tile(const Index offset, const ValueT& v, const bool on)
331 : mOffset(offset), mValue(v), mActive(on) {}
332 Index mOffset; ValueT mValue; bool mActive;
333 };
334
335 4915 VolumeExecuterOp(const OpData& data, TreeT& tree)
336 : mData(data)
337 4915 , mTree(tree) {}
338
339 ///////////////////////////////////////////////////////////////////////////
340 ///////////////////////////////////////////////////////////////////////////
341
342 /// @brief Public operator for all node types except LeafNodes (i.e.
343 /// RootNode types and InternalNode types). Active values can be streamed
344 /// when enabled. Otherwise, depending on the iterator type, Active and
345 /// Inactive values are processed.
346 /// @note The steaming of active values can produce child topology, but
347 /// the non-streamed (standard value iteration) execution does not
348 /// descend into lower levels of the tree.
349 template <typename NodeType, typename =
350 typename std::enable_if<!std::is_same<NodeType, LeafRangeT>::value>::type>
351 34370 void operator()(NodeType& node) const
352 {
353 // if the current node level does not match, skip
354 const Index level = node.getLevel();
355 assert(level > 0);
356
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34370 if (level < mData.mTreeLevelMin) return;
357
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34362 if (level > mData.mTreeLevelMax) return;
358
359
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34350 if (mData.mActiveTileStreaming) {
360 // Expect that the iterator type is NOT ValueOff if we are
361 // streaming ACTIVE tiles (this is an artificial limitation to stop
362 // typical VDBs memory exploding when things like inactive root
363 // node tiles are streamed).
364 assert((!std::is_same<ValueOffIter, IterT>::value));
365 // Process ACTIVE values
366 3418 this->process(node);
367
368 if (std::is_same<ValueAllIter, IterT>::value) {
369 // If we're streaming active values but processing both active
370 // and inactive (all) values, manually process OFF value tiles
371 /// @warning The value off iterator visits child nodes, so skip them
372 using IterType = ValueOffIter::IterTraitsT<NodeType>;
373
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2 auto it = IterType::begin(node);
374
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6 if (!it) return; // only possible if this node only has active tiles
375 8 VolumeFunctionArguments args(mData, mData.mGrids, *mData.mAttributeRegistry);
376
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4 tree::ValueAccessor<TreeT> acc(mTree);
377 /// @note the node kernel works for any VDB configuration and value type
378 auto kernel = args.bindNodeKernel(static_cast<void*>(&acc));
379
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73732 for (; it; ++it) {
380 // Manually skip child topology (not-skipped by the ValueOff iterator)
381
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73728 if (this->isChildMaskOn(node, it.pos())) continue;
382
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147440 kernel(it.getCoord());
383 }
384 }
385 }
386 else {
387 // If we're here, we are not streaming active values - simply process
388 // each individual tile value pointed at by the value iterator
389 /// @warning The value off iterator visits child nodes, so skip them
390 using IterType = typename IterT::template IterTraitsT<NodeType>;
391
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8844 auto it = IterType::begin(node);
392
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30932 if (!it) return;
393 17692 VolumeFunctionArguments args(mData, mData.mGrids, *mData.mAttributeRegistry);
394
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8846 tree::ValueAccessor<TreeT> acc(mTree);
395 /// @note the node kernel works for any VDB configuration and value type
396 auto kernel = args.bindNodeKernel(static_cast<void*>(&acc));
397
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95816 for (; it; ++it) {
398 // Manually skip child topology (not-skipped by the ValueOff iterator)
399
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73724 if (std::is_same<ValueOffIter, IterT>::value &&
400 4 this->isChildMaskOn(node, it.pos())) continue;
401
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13246 assert(!this->isChildMaskOn(node, it.pos()));
402
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173932 kernel(it.getCoord());
403 }
404 }
405 }
406
407 // For use with a LeafManager, when the target execution level is 0
408 /// @note We currently don't use the same node manager to process leaf
409 /// nodes. Instead, we use a unique leaf manager which calls the
410 /// LeafRangeT operator.
411 void operator()(const LeafRangeT& range) const
412 {
413
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2468 this->processLeafNodes<ValueT>(range);
414 }
415
416 private:
417
418 ///////////////////////////////////////////////////////////////////////////
419 ///////////////////////////////////////////////////////////////////////////
420
421 /// @brief Trivial methods that alias for a RootNode when querying the
422 /// the state of the child MASK. This is NOT the same as asking the
423 /// RootNode if a tile is active/inactive - these methods specifically
424 /// return whether a Node's ChildMask is ON or OFF. As a RootNode does not
425 /// hold a ChildMask, it always returns false. This allows the main
426 /// operator of this class to handle Internal and Root node types with
427 /// the same iterators.
428 //@{
429 template <typename NodeType>
430 inline static bool isChildMaskOn(const NodeType& node, const Index n) {
431 return node.isChildMaskOn(n);
432 }
433 inline static bool isChildMaskOn(const RootNodeT&, const Index) {
434 return false;
435 }
436 //@}
437
438 ///////////////////////////////////////////////////////////////////////////
439 ///////////////////////////////////////////////////////////////////////////
440
441 /// Kernel leaf exec methods for different ValueTypes
442
443 /// @brief Default kernel execution for all values types except bools and strings
444 template <typename ValueType, typename std::enable_if<
445 !std::is_same<ValueType, bool>::value &&
446 !std::is_same<ValueType, std::string>::value
447 >::type* = nullptr>
448 3966 void processLeafNodes(const LeafRangeT& range) const
449 {
450 7932 VolumeFunctionArguments args(mData, mData.mGrids, *mData.mAttributeRegistry);
451 auto kernel = args.bindBufferKernel();
452
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7932 for (auto leaf = range.begin(); leaf; ++leaf) {
453
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3966 void* buffer = static_cast<void*>(leaf->buffer().data());
454 Index64* masks = &(leaf->getValueMask().template getWord<Index64>(0));
455 kernel(leaf->origin(), buffer, masks, size_t(LeafNodeT::NUM_VOXELS));
456 }
457 }
458
459 /// @brief Overload for bool and string value types
460 template <typename ValueType, typename std::enable_if<
461 std::is_same<ValueType, bool>::value ||
462 std::is_same<ValueType, std::string>::value
463 >::type* = nullptr>
464 970 void processLeafNodes(const LeafRangeT& range) const
465 {
466 using TempBufferT = typename std::conditional<
467 std::is_same<std::string, ValueType>::value,
468 ax::codegen::String, bool>::type;
469
470 1940 VolumeFunctionArguments args(mData, mData.mGrids, *mData.mAttributeRegistry);
471 auto kernel = args.bindBufferKernel();
472
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86184 TempBufferT values[LeafNodeT::NUM_VOXELS];
473
474
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1940 for (auto leaf = range.begin(); leaf; ++leaf) {
475 Index64* masks = &(leaf->getValueMask().template getWord<Index64>(0));
476 auto& buffer = leaf->buffer();
477
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1940 for (auto it = IterType::begin(*leaf); it; ++it) {
478 970 values[it.pos()] = *it;
479 }
480 kernel(leaf->origin(), values, masks, size_t(LeafNodeT::NUM_VOXELS));
481
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2910 for (auto it = IterType::begin(*leaf); it; ++it) {
482
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1054 buffer.setValue(it.pos(), ValueT(values[it.pos()]));
483 }
484 }
485 }
486
487 ///////////////////////////////////////////////////////////////////////////
488 ///////////////////////////////////////////////////////////////////////////
489
490 /// @brief Recursively process an active or inactive tile with a LEVEL
491 /// greater than 1.
492 /// @details This algorithm recursively breaks up tile domains into child
493 /// domains until a node which represents a leaf parent (LEVEL == 1) is
494 /// reached. Each child node domain is looped over and the node results
495 /// are returned. If any child nodes were created, this method returns a
496 /// new node of NodeT which the child nodes added. If any tiles were
497 /// created which do NOT match the value and active state of the parent
498 /// domain, a new node of NodeT is created and returned with the unique
499 /// tiles added. If, however, all child domain values and active states
500 /// are constant, a nullptr is returned and the input value and active
501 /// arguments are set to the new states (possibly the same).
502 template <typename NodeT, typename std::enable_if<(NodeT::LEVEL > 1)>::type* = nullptr>
503 2 NodeT* processTile(const Coord& origin, ValueT& value, bool& active) const
504 {
505 using ChildNodeT = typename NodeT::ChildNodeType;
506
507 2 tbb::concurrent_vector<ChildNodeT*> childs;
508 2 tbb::concurrent_vector<Tile> tiles;
509
510 const tbb::blocked_range<Index>
511
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2 totalRange(0, NodeT::NUM_VALUES, mData.mTileGrainSize);
512
513
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2 if (mData.mTileGrainSize > 0) {
514
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33026 tbb::parallel_for(totalRange, [&](const auto& range) {
515 Coord ijk;
516
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32896 for (Index n = range.begin(), N = range.end(); n < N; ++n) {
517 32768 NodeT::offsetToLocalCoord(n, ijk);
518 ijk <<= ChildNodeT::TOTAL;
519 ijk += origin;
520 ValueT _value = value; // possible new value
521 32768 bool _active = true; // possible new state, starts always active
522
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32768 ChildNodeT* child = this->processTile<ChildNodeT>(ijk, _value, _active);
523
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32768 if (child) { childs.emplace_back(child); }
524
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31744 else if (_value != value || _active != true) {
525 tiles.emplace_back(n, _value, _active);
526 }
527 }
528 });
529 }
530 else {
531 Coord ijk;
532 for (Index n = totalRange.begin(), N = totalRange.end(); n < N; ++n) {
533 NodeT::offsetToLocalCoord(n, ijk);
534 ijk <<= ChildNodeT::TOTAL;
535 ijk += origin;
536 ValueT _value = value; // possible new value
537 bool _active = true; // possible new state, starts always active
538 ChildNodeT* child = this->processTile<ChildNodeT>(ijk, _value, _active);
539 if (child) { childs.emplace_back(child); }
540 else if (_value != value || _active != true) {
541 tiles.emplace_back(n, _value, _active);
542 }
543 }
544 }
545
546 4 std::unique_ptr<NodeT> node;
547
548 // If we have child nodes then we have to create a parent
549
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2 if (!childs.empty()) {
550
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2 node.reset(new NodeT(origin, value, /*active=*/true)); // always starts as active
551
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4098 for (auto n : childs) node->addChild(n);
552 }
553
554
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2 if (!tiles.empty()) {
555 const auto& tile = tiles.front();
556
557 // if !node, we didn't create any child nodes. If we have NodeT::NUM_VALUES
558 // number of tiles, check their values - they may all be constant, in which
559 // case we don't need to create a parent at all
560 if (!node) {
561 if (tiles.size() == NodeT::NUM_VALUES) {
562 const bool constant =
563 (std::find_if(tiles.cbegin() + 1, tiles.cend(), [&tile](const auto& iter) {
564 return iter.mValue != tile.mValue || iter.mActive != tile.mActive;
565 }) == tiles.cend());
566 if (!constant) {
567 node.reset(new NodeT(origin, value, /*active=*/true)); // always starts as active
568 }
569 }
570 }
571
572 // If the node exists, add all the tiles, otherwise we are replacing this
573 // entire node with a new value and state
574 if (node) {
575 for (auto& n : tiles) {
576 node->addTile(n.mOffset, n.mValue, n.mActive);
577 }
578 }
579 else {
580 value = tile.mValue;
581 active = tile.mActive;
582 }
583 }
584
585 2 return node.release();
586 }
587
588 /// @brief Specialization of the recursive domain splitting to execute on
589 /// a leaf node parent node (i.e. LEVEL==1).
590 template <typename NodeT, typename std::enable_if<(NodeT::LEVEL == 1)>::type* = nullptr>
591 66042 NodeT* processTile(const Coord& origin, ValueT& value, bool& active) const
592 {
593 // @note Always starts off active as streaming only streams active tiles
594 // @todo This tile create is redundant if process does not create child
595 // nodes or non-uniform tiles. Could replace this with the 2xvector
596 // storage solution, needs profiling.
597
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132084 std::unique_ptr<NodeT> cache(new NodeT(origin, value, /*active=*/true));
598
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66042 this->process(*cache);
599
600 ValueT first;
601 bool state;
602
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66042 bool constant = cache->isConstant(first, state);
603
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66042 if (!constant) return cache.release();
604
605 63964 value = first;
606 63986 active = state;
607 63986 return nullptr;
608 }
609
610 ///////////////////////////////////////////////////////////////////////////
611 ///////////////////////////////////////////////////////////////////////////
612
613 /// @brief Process a nodes ValueOn/Off/All tiles, where the node's level.
614 /// is greater than 1. This method calls the above recursive algorithms
615 /// to evaluate each child tile.
616 template <typename NodeT, typename std::enable_if<(NodeT::LEVEL > 1)>::type* = nullptr>
617 2438 void process(NodeT& parent) const
618 {
619 using ChildNodeT = typename NodeT::ChildNodeType;
620 assert((!std::is_same<ValueOffIter, IterT>::value));
621
622 // Explicitly use a ValueOn Iterator (only stream ON Values)
623
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3922 for (auto it = ValueOnIter::IterTraitsT<NodeT>::begin(parent); it; ++it) {
624 508 const Coord origin = it.getCoord();
625 508 const ValueT value = it.getValue();
626 // ValueIter should never point to a child node - only time this is
627 // possible is with a ValueOff iter, but this code only ever invoked
628 // with a ValueOnIter
629
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508 assert(!this->isChildMaskOn(parent, it.pos()));
630 // only processes active tiles
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506 assert(it.isValueOn());
632
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508 ValueT _value = value;
634 508 bool _active = true;
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508 if (ChildNodeT* child = this->processTile<ChildNodeT>(origin, _value, _active)) {
636
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10 parent.addChild(child);
637 }
638 else {
639
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318 if (_value != value) it.setValue(_value);
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498 if (_active != true) it.setValueOn(_active);
641 }
642 }
643 }
644
645 /// @brief Process a leaf parent (i.e LEVEL==1) node's ValueOn tiles
646 /// densifying tiles into leaf nodes and vice versa where necessary.
647 template <typename NodeT, typename std::enable_if<(NodeT::LEVEL == 1)>::type* = nullptr>
648 67022 void process(NodeT& parent) const
649 {
650 using ChildNodeT = typename NodeT::ChildNodeType;
651 static_assert(ChildNodeT::DIM == LeafNodeT::DIM,
652 "Expected the parent node type of LeafNodeT to have a "
653 "CHILD_DIM equal to the DIM of a LeafNodeT.");
654 assert((!std::is_same<ValueOffIter, IterT>::value));
655
656 // only process active tiles when streaming
657
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67022 if (parent.getValueMask().isOff()) return;
658
659 const tbb::blocked_range<Index>
660
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66530 totalRange(0, NodeT::NUM_VALUES, mData.mTileGrainSize);
661
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66530 if (mData.mTileGrainSize > 0) {
663 66530 tbb::concurrent_vector<LeafNodeT*> leafs;
664 66530 tbb::concurrent_vector<Tile> tiles;
665
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8590836 tbb::parallel_for(totalRange, [&](const tbb::blocked_range<Index>& range) {
666 std::vector<LeafNodeT*> lleafs;
667 2688 std::vector<Tile> ltiles;
668
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4257920 lleafs.reserve(range.size());
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4257920 ltiles.reserve(range.size());
670
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4257920 this->processLeafParent(parent, range, lleafs, ltiles);
672
673
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4257920 if (!lleafs.empty()) {
674
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8466 std::move(lleafs.begin(), lleafs.end(), leafs.grow_by(lleafs.size()));
675 }
676
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4257920 if (!ltiles.empty()) {
677 std::move(ltiles.begin(), ltiles.end(), tiles.grow_by(ltiles.size()));
678 }
679 });
680
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1149930 for (auto n : leafs) parent.addLeaf(n);
681
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66530 for (auto& n : tiles) parent.addTile(n.mOffset, n.mValue, n.mActive);
682 }
683 else {
684 std::vector<LeafNodeT*> leafs;
685 std::vector<Tile> tiles;
686
687 this->processLeafParent(parent, totalRange, leafs, tiles);
688
689 for (auto n : leafs) parent.addLeaf(n);
690 for (auto& n : tiles) parent.addTile(n.mOffset, n.mValue, n.mActive);
691 }
692 }
693
694 ///////////////////////////////////////////////////////////////////////////
695 ///////////////////////////////////////////////////////////////////////////
696
697 /// Kernel Leaf parent exec methods for different ValueTypes
698
699 /// @brief Default kernel execution for all values types except bools and strings
700 template <typename NodeT, typename std::enable_if<
701 !std::is_same<typename NodeT::ValueType, bool>::value &&
702 !std::is_same<typename NodeT::ValueType, std::string>::value
703 >::type* = nullptr>
704 8504576 void processLeafParent(NodeT& parent,
705 const tbb::blocked_range<Index>& range,
706 std::vector<LeafNodeT*>& leafs,
707 std::vector<Tile>& tiles) const
708 {
709 // ValueOff iterators should explicitly disable tile streaming
710 assert((!std::is_same<ValueOffIter, IterT>::value));
711 // @todo update to new InternalNode API methods when available
712 auto* const table = const_cast<typename NodeT::UnionType*>(parent.getTable());
713 const auto& mask = parent.getValueMask();
714
715 17009152 VolumeFunctionArguments args(mData, mData.mGrids, *mData.mAttributeRegistry);
716 auto kernel = args.bindBufferKernel();
717
718 Index64* word;
719 ValueT* data, *end;
720 17009152 std::unique_ptr<LeafNodeT> leaf;
721
722
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280651008 for (Index n = range.begin(), N = range.end(); n < N; ++n) {
723 // explicitly only process active tiles when streaming
724
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272146432 if (!mask.isOn(n)) continue;
725
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270304124 assert(!this->isChildMaskOn(parent, n));
726
727 270304124 const Coord& ijk = parent.offsetToGlobalCoord(n);
728
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270304124 const ValueT& value = table[n].getValue();
729
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270304124 if (!leaf) {
731
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8971644 leaf.reset(new LeafNodeT(ijk, value, /*active*/true)); // always starts as active
732
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8971644 data = leaf->buffer().data();
733 8971644 end = data + LeafNodeT::NUM_VOXELS;
734 word = &(leaf->getValueMask().template getWord<Index64>(0));
735 }
736 else {
737 leaf->setOrigin(ijk);
738 leaf->getValueMask().set(true); // always starts as active
739 261332480 std::fill(data, end, value);
740 }
741
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270304124 kernel(ijk, data, word, size_t(LeafNodeT::NUM_VOXELS));
743
744 bool ison;
745 bool constant = leaf->getValueMask().isConstant(ison);
746
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747
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17809196294 constant = (std::find_if(data + 1, end, [&](const auto& v) { return v != data[0]; }) == end);
748 }
749
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270304124 if (!constant) {
750
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540676 leafs.emplace_back(leaf.release());
751 }
752 else {
753
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269763448 if (ison != true) {
754 // mask changed, we always have to postpone this update
755 // @todo could update the value here and the mask in serial
756 tiles.emplace_back(n, data[0], ison);
757 }
758
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269763448 else if (data[0] != value) {
759 1606402 table[n].setValue(data[0]);
760 }
761 }
762 }
763 }
764
765 /// @brief Overload for bool value types
766 template <typename NodeT, typename std::enable_if<
767 std::is_same<typename NodeT::ValueType, bool>::value ||
768 std::is_same<typename NodeT::ValueType, std::string>::value
769 >::type* = nullptr>
770 11264 void processLeafParent(NodeT& parent,
771 const tbb::blocked_range<Index>& range,
772 std::vector<LeafNodeT*>& leafs,
773 std::vector<Tile>& tiles) const
774 {
775 // ValueOff iterators should explicitly disable tile streaming
776 assert((!std::is_same<ValueOffIter, IterT>::value));
777 using TempBufferT = typename std::conditional<
778 std::is_same<std::string, ValueT>::value,
779 ax::codegen::String, bool>::type;
780
781 // @todo update to new InternalNode API methods when available
782 auto* const table = const_cast<typename NodeT::UnionType*>(parent.getTable());
783 const auto& mask = parent.getValueMask();
784
785 22528 VolumeFunctionArguments args(mData, mData.mGrids, *mData.mAttributeRegistry);
786 auto kernel = args.bindBufferKernel();
787
788
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5515776 TempBufferT values[LeafNodeT::NUM_VOXELS];
789 11264 TempBufferT* data = values, *end = &values[LeafNodeT::NUM_VOXELS];
790 typename LeafNodeT::NodeMaskType leafmask;
791 Index64* word = &(leafmask.template getWord<Index64>(0));
792 Coord ijk;
793 bool reset = true;
794
795
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371712 for (Index n = range.begin(), N = range.end(); n < N; ++n) {
796 // explicitly only process active tiles when streaming
797
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360448 if (!mask.isOn(n)) continue;
798
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204872 assert(!this->isChildMaskOn(parent, n));
799
800 204872 const Coord& ijk = parent.offsetToGlobalCoord(n);
801 204872 const TempBufferT value = table[n].getValue();
802
803
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204872 if (reset) {
804 78888 std::fill(data, end, value);
805 leafmask.set(true); // always starts as active
806 }
807
808
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204872 kernel(ijk, data, word, size_t(LeafNodeT::NUM_VOXELS));
809
810 bool ison;
811 bool constant = leafmask.isConstant(ison);
812
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204872 if (constant) {
813
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13463184 constant = (std::find_if(data + 1, end, [&](const auto& v) { return v != data[0]; }) == end);
814 }
815
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204872 if (!constant) {
817
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1536 std::unique_ptr<LeafNodeT> leaf(new LeafNodeT(ijk));
818 leaf->getValueMask() = leafmask;
819
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525312 for (Index i = 0; i < LeafNodeT::NUM_VOXELS; ++i) {
820
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786432 leaf->buffer().setValue(i, ValueT(values[i]));
821 }
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1024 leafs.emplace_back(leaf.release());
823 reset = true;
824 }
825 else {
826
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203848 if (ison != true) {
827 // mask changed, we always have to postpone this update
828 // @todo could update the value here and the mask in serial
829 tiles.emplace_back(n, ValueT(data[0]), ison);
830 reset = true;
831 }
832
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203848 else if (data[0] != value) {
833
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98352 table[n].setValue(ValueT(data[0]));
834 reset = true;
835 }
836 else {
837 reset = false;
838 }
839 }
840 }
841 }
842
843 private:
844 const OpData& mData;
845 TreeT& mTree;
846 };
847
848 /// @brief register volumes, create missing and build a GridCache which
849 /// stores read/write grids with deep copied ownership where necessary
850 std::unique_ptr<GridCache>
851 744 registerVolumes(GridPtrVec& grids,
852 const AttributeRegistry& registry,
853 const AttributeBindings& bindings,
854 const bool createMissing,
855 Logger& logger)
856 {
857 744 std::unique_ptr<GridCache> cache(new GridCache);
858
859
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5798 for (auto& iter : registry.data()) {
860
861 openvdb::GridBase* matchedGrid = nullptr;
862 bool matchedName = false;
863 ast::tokens::CoreType type = ast::tokens::UNKNOWN;
864 const std::string& iterName = iter.name();
865 const std::string* volumeNamePtr = nullptr;
866 volumeNamePtr = bindings.isBoundAXName(iterName) ? bindings.dataNameBoundTo(iterName) : &iterName;
867
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5056 assert(volumeNamePtr);
868 const std::string& volumeName = *volumeNamePtr;
869
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34324 for (const auto& grid : grids) {
870
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68636 if (grid->getName() != volumeName) continue;
871 matchedName = true;
872
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10100 type = ast::tokens::tokenFromTypeString(grid->valueType());
873
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5050 if (type != iter.type()) continue;
874 matchedGrid = grid.get();
875 5050 break;
876 }
877
878
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5056 if (createMissing && !matchedGrid) {
879
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4 auto created = createGrid(iter.type());
880
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4 if (created) {
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4 created->setName(volumeName);
882
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4 grids.emplace_back(created);
883 type = iter.type();
884 matchedName = true;
885 matchedGrid = created.get();
886 }
887 }
888
889
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5056 if (!matchedName && !matchedGrid) {
890
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8 logger.error("Missing grid \"" + ast::tokens::typeStringFromToken(iter.type()) +
891
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6 "@" + iter.name() + "\".");
892 }
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5054 else if (matchedName && !matchedGrid) {
894 logger.error("Mismatching grid access type. \"@" + volumeName +
895 (volumeName != iter.name() ? "\" [bound to \"" + iter.name() + "\"]" : "\"") +
896 " exists but has been accessed with type \"" +
897 ast::tokens::typeStringFromToken(iter.type()) + "\".");
898 }
899
900
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5054 if (!matchedGrid) continue;
901
902 if (!supported(type)) {
903 logger.error("Could not register volume '" + matchedGrid->getName() +
904 "' as it has an unknown or unsupported value type '" +
905
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2 matchedGrid->valueType() + "'");
906 continue;
907 }
908
909 // Populate the write/read grids based on the access registry. If a
910 // grid is being written to and has non self usage, (influences
911 // another grids value which isn't it's own) it must be deep copied
912
913 // @todo implement better execution order detection which could minimize
914 // the number of deep copies required
915
916
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5054 if (iter.writes() && iter.affectsothers()) {
917 // if affectsothers(), it's also read from at some point
918
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334 assert(iter.reads());
919
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334 cache->addReadGrid(*matchedGrid, /*copy=*/true);
920 cache->addWriteGrid(*matchedGrid);
921 }
922 else {
923
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4720 if (iter.writes()) {
924 cache->addWriteGrid(*matchedGrid);
925 }
926
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4720 cache->addReadGrid(*matchedGrid, /*copy=*/false);
927 }
928 }
929
930 742 return cache;
931 }
932
933 template <class IterT, typename GridT>
934 9830 inline void run(GridT& grid, OpData& data, const VolumeExecutable& E)
935 {
936 using TreeType = typename GridT::TreeType;
937
938 // Get the active index of the grid being executed
939 9830 const ast::tokens::CoreType type =
940 9830 ast::tokens::tokenFromTypeString(grid.valueType());
941 assert(data.mActiveIndex >= 0);
942
943 // Set the active tile streaming behaviour for this grid if
944 // the behaviour is set to AUTO (otherwise it's assigned the
945 // same value)
946 9830 const bool cache = data.mActiveTileStreaming;
947 // data.mActiveTileStreaming might be OFF if IterT is an OFF iterator
948 9830 data.mActiveTileStreaming &=
949
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9830 (E.getActiveTileStreaming(grid.getName(), type) == VolumeExecutable::Streaming::ON);
950
951 VolumeExecuterOp<TreeType, IterT> exec(data, grid.tree());
952
953 // If either grain size is > 0, enable overlapping task execution and other
954 // multi threaded operations (such as leaf/node manager constructions)
955 9830 const size_t g1 = E.getGrainSize();
956 9830 const size_t g2 = E.getActiveTileStreamingGrainSize();
957 9830 const bool threadOtherOps = g1 > 0 || g2 > 0;
958
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9830 assert(data.mTreeLevelMin <= data.mTreeLevelMax);
959
960 // Cache any existing leaf node pointers before doing any execution
961 9830 std::unique_ptr<tree::LeafManager<TreeType>> leafManager;
962
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9830 if (data.mTreeLevelMin == 0) {
963
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19640 leafManager.reset(new tree::LeafManager<TreeType>
964
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9820 (grid.tree(), /*aux=*/0, /*serial=*/!threadOtherOps));
965 }
966
967 tbb::task_group tasks;
968
969
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9830 if (data.mTreeLevelMin == 0) {
970 // It's significantly faster to process leaf nodes using a leaf manager
971 // so process them first. Additionally, processing tiles can generate
972 // new leaf nodes if active tile streaming is enabled and we don't want
973 // to process them twice!
974
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9820 if (threadOtherOps) {
975
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14730 tasks.run([&]() {
976
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4910 if (g1 > 0) {
977 4910 tbb::parallel_for(leafManager->leafRange(g1), exec);
978 }
979 else {
980 exec(leafManager->leafRange());
981 }
982 });
983 }
984 else {
985 exec(leafManager->leafRange());
986 }
987 }
988
989
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9830 if (data.mTreeLevelMax > 0) {
990 // Only cache to TreeType::RootNodeType::LEVEL-1
991 using NodeManagerT =
992 tree::NodeManager<TreeType, TreeType::RootNodeType::LEVEL-1>;
993
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9828 if (threadOtherOps) {
994
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14742 tasks.run([&]() {
995 9828 NodeManagerT manager(grid.tree(), /*serial=*/!threadOtherOps);
996
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4914 if (!data.mActiveTileStreaming) manager.foreachBottomUp(exec, g1 > 0, g1);
997
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488 else manager.foreachBottomUp(exec, g2 > 0, /*parent-gs=*/1);
998 });
999 }
1000 else {
1001 // If not thread, don't call through to any tbb primitives
1002 NodeManagerT manager(grid.tree(), /*serial*/true);
1003 manager.foreachBottomUp(exec, /*thread*/false);
1004 }
1005 }
1006
1007
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9830 if (threadOtherOps) tasks.wait();
1008
1009
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9830 data.mActiveTileStreaming = cache;
1010 }
1011
1012 template <class IterT>
1013
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1484 inline void run(GridCache& cache,
1014 const std::unordered_map<std::string, uint64_t>& functions,
1015 const AttributeRegistry& registry,
1016 const CustomData* const custom,
1017 const VolumeExecutable::Settings& S,
1018 const VolumeExecutable& E,
1019 Logger& logger)
1020 {
1021
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1484 assert(cache.mRead.size() == registry.data().size());
1022
1023 // Initialize the shared op data
1024
1025 OpData data;
1026 1484 data.mKernelValueBuffer =
1027 reinterpret_cast<KernelBufferFunctionPtr>
1028
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1484 (functions.at(codegen::VolumeKernelBuffer::getDefaultName()));
1029 1484 data.mKernelNode =
1030 reinterpret_cast<KernelNodeFunctionPtr>
1031
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1484 (functions.at(codegen::VolumeKernelNode::getDefaultName()));
1032 1484 data.mCustomData = custom;
1033
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1484 data.mAttributeRegistry = &registry;
1034 1484 data.mGrids = cache.mRead.data();
1035 1484 data.mTreeLevelMin = S.mTreeExecutionLevelMin;
1036 1484 data.mTreeLevelMax = S.mTreeExecutionLevelMax;
1037 1484 data.mIterMode =
1038 std::is_same<IterT, ValueOnIter>::value ? 1 :
1039 std::is_same<IterT, ValueOffIter>::value ? 0 :
1040 std::is_same<IterT, ValueAllIter>::value ? 2 : 2;
1041 1484 data.mTileGrainSize = S.mTileGrainSize;
1042 // @note If Streaming::AUTO, this value can be temporarily
1043 // changed by the next invocation of run().
1044
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1484 data.mActiveTileStreaming = ((data.mIterMode == 1 || data.mIterMode == 2) &&
1045
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1482 (S.mActiveTileStreaming != VolumeExecutable::Streaming::OFF));
1046
1047 openvdb::GridBase** read = cache.mRead.data();
1048
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1484 data.mVoidTransforms.reserve(cache.mRead.size());
1049
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11592 for (size_t i = 0; i < registry.data().size(); ++i, ++read) {
1050
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10108 assert(read);
1051
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10108 data.mVoidTransforms.emplace_back(static_cast<void*>(&(*read)->transform()));
1052 }
1053
1054 1484 size_t regidx = 0, cacheidx = 0;
1055
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11592 for (const auto& attr : registry.data()) {
1056
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10108 if (attr.writes()) {
1057 const auto& grid = cache.mWrite[cacheidx];
1058
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14745 const bool success = grid->apply<SupportedTypeList>([&](auto& typed) {
1059 using GridType = typename std::decay<decltype(typed)>::type;
1060 4915 data.mActiveIndex = regidx;
1061 4915 run<IterT, GridType>(typed, data, E);
1062 });
1063
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9830 if (!success) {
1064 logger.error("Could not write to volume '" + grid->getName()
1065 + "' as it has an unknown or unsupported value type '" + grid->valueType()
1066 + "'");
1067 }
1068 9830 ++cacheidx;
1069 }
1070 10108 ++regidx;
1071 }
1072 1484 }
1073 } // anonymous namespace
1074
1075 752 VolumeExecutable::VolumeExecutable(const std::shared_ptr<const llvm::LLVMContext>& context,
1076 const std::shared_ptr<const llvm::ExecutionEngine>& engine,
1077 const AttributeRegistry::ConstPtr& accessRegistry,
1078 const CustomData::ConstPtr& customData,
1079 const std::unordered_map<std::string, uint64_t>& functionAddresses,
1080 752 const ast::Tree& ast)
1081 : mContext(context)
1082 , mExecutionEngine(engine)
1083 , mAttributeRegistry(accessRegistry)
1084 , mCustomData(customData)
1085 , mFunctionAddresses(functionAddresses)
1086
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752 , mSettings(new Settings)
1087 {
1088
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752 assert(mContext);
1089
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752 assert(mExecutionEngine);
1090
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752 assert(mAttributeRegistry);
1091
1092 // Determine if this kernel needs automatic streaming
1093
1094 // @todo These functions need to be catalogues in the same way as we
1095 // catalogue attribute dependencies as streaming only needs to be enabled
1096 // for grids which are directly affected by them.
1097
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1502 bool stream = ast::callsFunction(ast, "getvoxelpws") ||
1098
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2251 ast::callsFunction(ast, "getcoord") ||
1099
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2244 ast::callsFunction(ast, "getcoordx") ||
1100
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2236 ast::callsFunction(ast, "getcoordy") ||
1101
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2985 ast::callsFunction(ast, "getcoordz") ||
1102
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2232 ast::callsFunction(ast, "rand");
1103
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752 if (stream) {
1105 19 mSettings->mActiveTileStreaming = Streaming::ON;
1106 }
1107 else {
1108
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4274 for (const auto& data : mAttributeRegistry->data()) {
1109 stream = data.affectsothers();
1110 if (stream) break;
1111 }
1112
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733 if (stream) mSettings->mActiveTileStreaming = Streaming::AUTO;
1113 547 else mSettings->mActiveTileStreaming = Streaming::OFF;
1114 }
1115
1116 // Set up the default attribute bindings
1117
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5812 for (const auto& iter : mAttributeRegistry->data()) {
1118
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5060 mSettings->mBindings.set(iter.name(), iter.name());
1119 }
1120 752 }
1121
1122 VolumeExecutable::VolumeExecutable(const VolumeExecutable& other)
1123 : mContext(other.mContext)
1124 , mExecutionEngine(other.mExecutionEngine)
1125 , mAttributeRegistry(other.mAttributeRegistry)
1126 , mCustomData(other.mCustomData)
1127 , mFunctionAddresses(other.mFunctionAddresses)
1128 , mSettings(new Settings(*other.mSettings)) {}
1129
1130 752 VolumeExecutable::~VolumeExecutable() {}
1131
1132 744 void VolumeExecutable::execute(openvdb::GridPtrVec& grids) const
1133 {
1134 Logger* logger;
1135 742 std::unique_ptr<Logger> log;
1136 if (true) {
1137 /// @note This branch exists for forwards compatibility with upcoming
1138 /// changes to allow a logger to be provided to the executables
1139
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2978 log.reset(new Logger([](const std::string& error) {
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8 OPENVDB_THROW(AXExecutionError, error);
1141
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744 }));
1142 logger = log.get();
1143 }
1144
1145 std::unique_ptr<GridCache> cache =
1146
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1486 registerVolumes(grids, *mAttributeRegistry, mSettings->mBindings, mSettings->mCreateMissing, *logger);
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742 if (logger->hasError()) return;
1149
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742 if (mSettings->mValueIterator == IterType::ON) {
1151
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740 run<ValueOnIter>(*cache, mFunctionAddresses, *mAttributeRegistry, mCustomData.get(), *mSettings, *this, *logger);
1152 }
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2 else if (mSettings->mValueIterator == IterType::OFF) {
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1 run<ValueOffIter>(*cache, mFunctionAddresses, *mAttributeRegistry, mCustomData.get(), *mSettings, *this, *logger);
1155 }
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1 else if (mSettings->mValueIterator == IterType::ALL) {
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1 run<ValueAllIter>(*cache, mFunctionAddresses, *mAttributeRegistry, mCustomData.get(), *mSettings, *this, *logger);
1158 }
1159 else {
1160 assert(false && "Unrecognised voxel iterator.");
1161 }
1162 }
1163
1164 19 void VolumeExecutable::execute(openvdb::GridBase& grid) const
1165 {
1166 // wrap the input with a no delete shared pointer so we can call the main
1167 // invocation. execute is guaranteed to not take ownership of the inputs
1168 // (ideally GridPtrVec would not be a vector of shared pointers)
1169 GridBase::Ptr gridptr(&grid, [](GridBase*){});
1170
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38 std::vector<GridBase::Ptr> grids { gridptr };
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19 this->execute(grids);
1172 19 }
1173
1174
1175 /////////////////////////////////////////////
1176 /////////////////////////////////////////////
1177
1178
1179 718 void VolumeExecutable::setCreateMissing(const bool flag)
1180 {
1181 718 mSettings->mCreateMissing = flag;
1182 718 }
1183
1184 bool VolumeExecutable::getCreateMissing() const
1185 {
1186 return mSettings->mCreateMissing;
1187 }
1188
1189 5 void VolumeExecutable::setTreeExecutionLevel(const Index level)
1190 {
1191 5 this->setTreeExecutionLevel(level, level);
1192 4 }
1193
1194 9 void VolumeExecutable::setTreeExecutionLevel(const Index min, const Index max)
1195 {
1196 // use the default implementation of FloatTree for reference
1197
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9 if (min >= FloatTree::DEPTH || max >= FloatTree::DEPTH || min > max) {
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4 OPENVDB_THROW(RuntimeError,
1199 "Invalid tree execution level in VolumeExecutable.");
1200 }
1201 8 mSettings->mTreeExecutionLevelMin = min;
1202 8 mSettings->mTreeExecutionLevelMax = max;
1203 8 }
1204
1205 Index VolumeExecutable::getTreeExecutionLevel() const
1206 {
1207 return mSettings->mTreeExecutionLevelMin;
1208 }
1209
1210 17 void VolumeExecutable::getTreeExecutionLevel(Index& min, Index& max) const
1211 {
1212 17 min = mSettings->mTreeExecutionLevelMin;
1213 17 max = mSettings->mTreeExecutionLevelMax;
1214 17 }
1215
1216 1 void VolumeExecutable::setActiveTileStreaming(const Streaming& s)
1217 {
1218 1 mSettings->mActiveTileStreaming = s;
1219 1 }
1220
1221 3529 VolumeExecutable::Streaming VolumeExecutable::getActiveTileStreaming() const
1222 {
1223 3529 return mSettings->mActiveTileStreaming;
1224 }
1225
1226 VolumeExecutable::Streaming
1227
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4938 VolumeExecutable::getActiveTileStreaming(const std::string& name,
1228 const ast::tokens::CoreType& type) const
1229 {
1230
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4938 assert(mAttributeRegistry);
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4938 if (mSettings->mActiveTileStreaming == VolumeExecutable::Streaming::AUTO) {
1232 const ax::AttributeRegistry::AccessData* accessData =
1233 1428 mAttributeRegistry->get(name, type);
1234
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1428 if (!accessData) return this->getActiveTileStreaming();
1235 // If this grids access depends on other grids, we must stream it.
1236 // if it only has one access and this is its own access, streaming
1237 // is off.
1238
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1425 if (accessData->deps().size() == 0) return Streaming::OFF;
1239
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1116 if (accessData->deps().size() == 1) {
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862 if (accessData->dependson(accessData)) return Streaming::OFF;
1241 202 else return Streaming::ON;
1242 }
1243 else {
1244 return Streaming::ON;
1245 }
1246 }
1247 else {
1248 3510 return this->getActiveTileStreaming();
1249 }
1250 }
1251
1252 717 void VolumeExecutable::setValueIterator(const VolumeExecutable::IterType& iter)
1253 {
1254 717 mSettings->mValueIterator = iter;
1255 717 }
1256
1257 VolumeExecutable::IterType VolumeExecutable::getValueIterator() const
1258 {
1259 return mSettings->mValueIterator;
1260 }
1261
1262 void VolumeExecutable::setGrainSize(const size_t grain)
1263 {
1264 mSettings->mGrainSize = grain;
1265 }
1266
1267 4915 size_t VolumeExecutable::getGrainSize() const
1268 {
1269 4915 return mSettings->mGrainSize;
1270 }
1271
1272 void VolumeExecutable::setActiveTileStreamingGrainSize(const size_t grain)
1273 {
1274 mSettings->mTileGrainSize = grain;
1275 }
1276
1277 4915 size_t VolumeExecutable::getActiveTileStreamingGrainSize() const
1278 {
1279 4915 return mSettings->mTileGrainSize;
1280 }
1281
1282 13 void VolumeExecutable::setAttributeBindings(const AttributeBindings& bindings)
1283 {
1284
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28 for (const auto& binding : bindings.axToDataMap()) {
1285 15 mSettings->mBindings.set(binding.first, binding.second);
1286 }
1287 // check the registry to make sure everything is bound
1288
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38 for (const auto& access : mAttributeRegistry->data()) {
1289 if (!mSettings->mBindings.isBoundAXName(access.name())) {
1290 if (bindings.isBoundDataName(access.name())) {
1291
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8 OPENVDB_THROW(AXExecutionError, "AX attribute \"@"
1292 + access.name() + "\" not bound to any volume."
1293 " Volume \"" + access.name() + "\" bound to \"@"
1294 + *bindings.axNameBoundTo(access.name()) + "\".");
1295 }
1296 else {
1297 // rebind to itself as it may have been unbound
1298 // by a previous set call
1299 1 mSettings->mBindings.set(access.name(), access.name());
1300 }
1301 }
1302 }
1303 12 }
1304
1305 1 const AttributeBindings& VolumeExecutable::getAttributeBindings() const
1306 {
1307 1 return mSettings->mBindings;
1308 }
1309
1310 } // namespace ax
1311 } // namespace OPENVDB_VERSION_NAME
1312 } // namespace openvdb
1313
1314