OpenVDB 11.0.0

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CreateNanoGrid.h
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1// Copyright Contributors to the OpenVDB Project
2// SPDX-License-Identifier: MPL-2.0
3
4/*!
5 \file CreateNanoGrid.h
6
7 \author Ken Museth
8
9 \date June 26, 2020
10
11 \note In the examples below we assume that @c srcGrid is a exiting grid of type
12 SrcGridT = @c openvdb::FloatGrid, @c openvdb::FloatGrid or @c nanovdb::build::FloatGrid.
13
14 \brief Convert any grid to a nanovdb grid of the same type, e.g. float->float
15 \code
16 auto handle = nanovdb::createNanoGrid(srcGrid);
17 auto *dstGrid = handle.grid<float>();
18 \endcode
19
20 \brief Convert a grid to a nanovdb grid of a different type, e.g. float->half
21 \code
22 auto handle = nanovdb::createNanoGrid<SrcGridT,nanovdb::Fp16>(srcGrid);
23 auto *dstGrid = handle.grid<nanovdb::Fp16>();
24 \endcode
25
26 \brief Convert a grid to a nanovdb grid of the same type but using a CUDA buffer
27 \code
28 auto handle = nanovdb::createNanoGrid<SrcGridT, float, nanovdb::CudaDeviceBuffer>(srcGrid);
29 auto *dstGrid = handle.grid<float>();
30 \endcode
31
32 \brief Create a nanovdb grid that indices values in an existing source grid of any type.
33 If DstBuildT = nanovdb::ValueIndex both active and in-active values are indexed
34 and if DstBuildT = nanovdb::ValueOnIndex only active values are indexed.
35 \code
36 using DstBuildT = nanovdb::ValueIndex;// index both active an inactive values
37 auto handle = nanovdb::createNanoGridSrcGridT,DstBuildT>(srcGrid,0,false,false);//no blind data, tile values or stats
38 auto *dstGrid = handle.grid<DstBuildT>();
39 \endcode
40
41 \brief Create a NanoVDB grid from scratch
42 \code
43#if defined(NANOVDB_USE_OPENVDB) && !defined(__CUDACC__)
44 using SrcGridT = openvdb::FloatGrid;
45#else
46 using SrcGridT = nanovdb::build::FloatGrid;
47#endif
48 SrcGridT srcGrid(0.0f);// create an empty source grid
49 auto srcAcc = srcGrid.getAccessor();// create an accessor
50 srcAcc.setValue(nanovdb::Coord(1,2,3), 1.0f);// set a voxel value
51
52 auto handle = nanovdb::createNanoGrid(srcGrid);// convert source grid to a grid handle
53 auto dstGrid = handle.grid<float>();// get a pointer to the destination grid
54 \endcode
55
56 \brief Convert a base-pointer to an openvdb grid, denoted srcGrid, to a nanovdb
57 grid of the same type, e.g. float -> float or openvdb::Vec3f -> nanovdb::Vec3f
58 \code
59 auto handle = nanovdb::openToNanoVDB(*srcGrid);// convert source grid to a grid handle
60 auto dstGrid = handle.grid<float>();// get a pointer to the destination grid
61 \endcode
62
63 \brief Converts any existing grid to a NanoVDB grid, for example:
64 nanovdb::build::Grid<SrcBuildT> -> nanovdb::Grid<DstBuildT>
65 nanovdb::Grid<SrcBuildT> -> nanovdb::Grid<DstBuildT>
66 nanovdb::Grid<SrcBuildT> -> nanovdb::Grid<ValueIndex or ValueOnIndex>
67 openvdb::Grid<SrcBuildT> -> nanovdb::Grid<DstBuildT>
68 openvdb::Grid<PointIndex> -> nanovdb::Grid<PointIndex>
69 openvdb::Grid<PointData> -> nanovdb::Grid<PointData>
70 openvdb::Grid<SrcBuildT> -> nanovdb::Grid<ValueIndex or ValueOnIndex>
71
72 \note This files replaces GridBuilder.h, IndexGridBuilder.h and OpenToNanoVDB.h
73*/
74
75#ifndef NANOVDB_CREATE_NANOGRID_H_HAS_BEEN_INCLUDED
76#define NANOVDB_CREATE_NANOGRID_H_HAS_BEEN_INCLUDED
77
78#if defined(NANOVDB_USE_OPENVDB) && !defined(__CUDACC__)
79#include <openvdb/openvdb.h>
80#include <openvdb/points/PointDataGrid.h>
81#include <openvdb/tools/PointIndexGrid.h>
82#endif
83
84#include "GridBuilder.h"
85#include "NodeManager.h"
86#include "GridHandle.h"
87#include "GridStats.h"
88#include "GridChecksum.h"
89#include "Range.h"
90#include "Invoke.h"
91#include "ForEach.h"
92#include "Reduce.h"
93#include "PrefixSum.h"
94#include "DitherLUT.h"// for nanovdb::DitherLUT
95
96#include <limits>
97#include <vector>
98#include <set>
99#include <cstring> // for memcpy
100#include <type_traits>
101
102 namespace nanovdb {
103
104// Forward declarations (defined below)
105 template <typename> class CreateNanoGrid;
106 class AbsDiff;
107 template <typename> struct MapToNano;
108
109//================================================================================================
110
111#if defined(NANOVDB_USE_OPENVDB) && !defined(__CUDACC__)
112/// @brief Forward declaration of free-standing function that converts an OpenVDB GridBase into a NanoVDB GridHandle
113/// @tparam BufferT Type of the buffer used to allocate the destination grid
114/// @param base Shared pointer to a base openvdb grid to be converted
115/// @param sMode Mode for computing statistics of the destination grid
116/// @param cMode Mode for computing checksums of the destination grid
117/// @param verbose Mode of verbosity
118/// @return Handle to the destination NanoGrid
119 template<typename BufferT = HostBuffer>
120GridHandle<BufferT>
121openToNanoVDB(const openvdb::GridBase::Ptr& base,
122 StatsMode sMode = StatsMode::Default,
123 ChecksumMode cMode = ChecksumMode::Default,
124 int verbose = 0);
125#endif
126
127//================================================================================================
128
129/// @brief Freestanding function that creates a NanoGrid<T> from any source grid
130/// @tparam SrcGridT Type of in input (source) grid, e.g. openvdb::Grid or nanovdb::Grid
131/// @tparam DstBuildT Type of values in the output (destination) nanovdb Grid, e.g. float or nanovdb::Fp16
132/// @tparam BufferT Type of the buffer used ti allocate the destination grid
133/// @param srcGrid Input (source) grid to be converted
134/// @param sMode Mode for computing statistics of the destination grid
135/// @param cMode Mode for computing checksums of the destination grid
136/// @param verbose Mode of verbosity
137/// @param buffer Instance of a buffer used for allocation
138/// @return Handle to the destination NanoGrid
139 template<typename SrcGridT,
140 typename DstBuildT = typename MapToNano<typename SrcGridT::BuildType>::type,
141 typename BufferT = HostBuffer>
142 typename disable_if<BuildTraits<DstBuildT>::is_index || BuildTraits<DstBuildT>::is_Fp, GridHandle<BufferT>>::type
143 createNanoGrid(const SrcGridT &srcGrid,
144 StatsMode sMode = StatsMode::Default,
145 ChecksumMode cMode = ChecksumMode::Default,
146 int verbose = 0,
147 const BufferT &buffer = BufferT());
148
149//================================================================================================
150
151/// @brief Freestanding function that creates a NanoGrid<ValueIndex> or NanoGrid<ValueOnIndex> from any source grid
152/// @tparam SrcGridT Type of in input (source) grid, e.g. openvdb::Grid or nanovdb::Grid
153/// @tparam DstBuildT If ValueIndex all (active and inactive) values are indexed and if
154/// it is ValueOnIndex only active values are indexed.
155/// @tparam BufferT BufferT Type of the buffer used ti allocate the destination grid
156/// @param channels If non-zero the values (active or all) in @c srcGrid are encoded as blind
157/// data in the output index grid. @c channels indicates the number of copies
158/// of these blind data
159/// @param includeStats If true all tree nodes will includes indices for stats, i.e. min/max/avg/std-div
160/// @param includeTiles If false on values in leaf nodes are indexed
161/// @param verbose Mode of verbosity
162/// @param buffer Instance of a buffer used for allocation
163/// @return Handle to the destination NanoGrid<T> where T = ValueIndex or ValueOnIndex
164 template<typename SrcGridT,
165 typename DstBuildT = typename MapToNano<typename SrcGridT::BuildType>::type,
166 typename BufferT = HostBuffer>
167 typename enable_if<BuildTraits<DstBuildT>::is_index, GridHandle<BufferT>>::type
168 createNanoGrid(const SrcGridT &srcGrid,
169 uint32_t channels = 0u,
170 bool includeStats = true,
171 bool includeTiles = true,
172 int verbose = 0,
173 const BufferT &buffer = BufferT());
174
175//================================================================================================
176
177/// @brief Freestanding function to create a NanoGrid<FpN> from any source grid
178/// @tparam SrcGridT Type of in input (source) grid, e.g. openvdb::Grid or nanovdb::Grid
179/// @tparam DstBuildT = FpN, i.e. variable bit-width of the output grid
180/// @tparam OracleT Type of the oracle used to determine the local bit-width, i.e. N in FpN
181/// @tparam BufferT Type of the buffer used to allocate the destination grid
182/// @param srcGrid Input (source) grid to be converted
183/// @param ditherOn switch to enable or disable dithering of quantization error
184/// @param sMode Mode for computing statistics of the destination grid
185/// @param cMode Mode for computing checksums of the destination grid
186/// @param verbose Mode of verbosity
187/// @param oracle Instance of a oracle used to determine the local bit-width, i.e. N in FpN
188/// @param buffer Instance of a buffer used for allocation
189/// @return Handle to the destination NanoGrid
190 template<typename SrcGridT,
191 typename DstBuildT = typename MapToNano<typename SrcGridT::BuildType>::type,
192 typename OracleT = AbsDiff,
193 typename BufferT = HostBuffer>
194 typename enable_if<is_same<FpN, DstBuildT>::value, GridHandle<BufferT>>::type
195 createNanoGrid(const SrcGridT &srcGrid,
196 StatsMode sMode = StatsMode::Default,
197 ChecksumMode cMode = ChecksumMode::Default,
198 bool ditherOn = false,
199 int verbose = 0,
200 const OracleT &oracle = OracleT(),
201 const BufferT &buffer = BufferT());
202
203//================================================================================================
204
205/// @brief Freestanding function to create a NanoGrid<FpX> from any source grid, X=4,8,16
206/// @tparam SrcGridT Type of in input (source) grid, e.g. openvdb::Grid or nanovdb::Grid
207/// @tparam DstBuildT = Fp4, Fp8 or Fp16, i.e. quantization bit-width of the output grid
208/// @tparam BufferT Type of the buffer used to allocate the destination grid
209/// @param srcGrid Input (source) grid to be converted
210/// @param ditherOn switch to enable or disable dithering of quantization error
211/// @param sMode Mode for computing statistics of the destination grid
212/// @param cMode Mode for computing checksums of the destination grid
213/// @param verbose Mode of verbosity
214/// @param buffer Instance of a buffer used for allocation
215/// @return Handle to the destination NanoGrid
216 template<typename SrcGridT,
217 typename DstBuildT = typename MapToNano<typename SrcGridT::BuildType>::type,
218 typename BufferT = HostBuffer>
219 typename enable_if<BuildTraits<DstBuildT>::is_FpX, GridHandle<BufferT>>::type
220 createNanoGrid(const SrcGridT &srcGrid,
221 StatsMode sMode = StatsMode::Default,
222 ChecksumMode cMode = ChecksumMode::Default,
223 bool ditherOn = false,
224 int verbose = 0,
225 const BufferT &buffer = BufferT());
226
227//================================================================================================
228
229/// @brief Compression oracle based on absolute difference
230 class AbsDiff
231{
232 float mTolerance;// absolute error tolerance
233 public:
234 /// @note The default value of -1 means it's un-initialized!
235 AbsDiff(float tolerance = -1.0f) : mTolerance(tolerance) {}
236 AbsDiff(const AbsDiff&) = default;
237 ~AbsDiff() = default;
238 operator bool() const {return mTolerance>=0.0f;}
239 void init(nanovdb::GridClass gClass, float background) {
240 if (gClass == GridClass::LevelSet) {
241 static const float halfWidth = 3.0f;
242 mTolerance = 0.1f * background / halfWidth;// range of ls: [-3dx; 3dx]
243 } else if (gClass == GridClass::FogVolume) {
244 mTolerance = 0.01f;// range of FOG volumes: [0;1]
245 } else {
246 mTolerance = 0.0f;
247 }
248 }
249 void setTolerance(float tolerance) { mTolerance = tolerance; }
250 float getTolerance() const { return mTolerance; }
251 /// @brief Return true if the approximate value is within the accepted
252 /// absolute error bounds of the exact value.
253 ///
254 /// @details Required member method
255 bool operator()(float exact, float approx) const
256 {
257 return Abs(exact - approx) <= mTolerance;
258 }
259};// AbsDiff
260
261 inline std::ostream& operator<<(std::ostream& os, const AbsDiff& diff)
262{
263 os << "Absolute tolerance: " << diff.getTolerance();
264 return os;
265}
266
267//================================================================================================
268
269/// @brief Compression oracle based on relative difference
270 class RelDiff
271{
272 float mTolerance;// relative error tolerance
273 public:
274 /// @note The default value of -1 means it's un-initialized!
275 RelDiff(float tolerance = -1.0f) : mTolerance(tolerance) {}
276 RelDiff(const RelDiff&) = default;
277 ~RelDiff() = default;
278 operator bool() const {return mTolerance>=0.0f;}
279 void setTolerance(float tolerance) { mTolerance = tolerance; }
280 float getTolerance() const { return mTolerance; }
281 /// @brief Return true if the approximate value is within the accepted
282 /// relative error bounds of the exact value.
283 ///
284 /// @details Required member method
285 bool operator()(float exact, float approx) const
286 {
287 return Abs(exact - approx)/Max(Abs(exact), Abs(approx)) <= mTolerance;
288 }
289};// RelDiff
290
291 inline std::ostream& operator<<(std::ostream& os, const RelDiff& diff)
292{
293 os << "Relative tolerance: " << diff.getTolerance();
294 return os;
295}
296
297//================================================================================================
298
299/// @brief The NodeAccessor provides a uniform API for accessing nodes got NanoVDB, OpenVDB and build Grids
300///
301/// @note General implementation that works with nanovdb::build::Grid
302 template <typename GridT>
303 class NodeAccessor
304{
305 public:
306 static constexpr bool IS_OPENVDB = false;
307 static constexpr bool IS_NANOVDB = false;
308 using BuildType = typename GridT::BuildType;
309 using ValueType = typename GridT::ValueType;
310 using GridType = GridT;
311 using TreeType = typename GridT::TreeType;
312 using RootType = typename TreeType::RootNodeType;
313 template<int LEVEL>
314 using NodeType = typename NodeTrait<const TreeType, LEVEL>::type;
315 NodeAccessor(const GridT &grid) : mMgr(const_cast<GridT&>(grid)) {}
316 const GridType& grid() const {return mMgr.grid();}
317 const TreeType& tree() const {return mMgr.tree();}
318 const RootType& root() const {return mMgr.root();}
319 uint64_t nodeCount(int level) const { return mMgr.nodeCount(level); }
320 template <int LEVEL>
321 const NodeType<LEVEL>& node(uint32_t i) const {return mMgr.template node<LEVEL>(i); }
322 const std::string& getName() const {return this->grid().getName();};
323 bool hasLongGridName() const {return this->grid().getName().length() >= GridData::MaxNameSize;}
324 const nanovdb::Map& map() const {return this->grid().map();}
325 GridClass gridClass() const {return this->grid().gridClass();}
326 private:
327 build::NodeManager<GridT> mMgr;
328};// NodeAccessor<GridT>
329
330//================================================================================================
331
332/// @brief Template specialization for nanovdb::Grid which is special since its NodeManage
333/// uses a handle in order to support node access on the GPU!
334 template <typename BuildT>
335 class NodeAccessor< NanoGrid<BuildT> >
336{
337 public:
338 static constexpr bool IS_OPENVDB = false;
339 static constexpr bool IS_NANOVDB = true;
340 using BuildType = BuildT;
341 using BufferType = HostBuffer;
342 using GridType = NanoGrid<BuildT>;
343 using ValueType = typename GridType::ValueType;
344 using TreeType = typename GridType::TreeType;
345 using RootType = typename TreeType::RootType;
346 template<int LEVEL>
347 using NodeType = typename NodeTrait<TreeType, LEVEL>::type;
348 NodeAccessor(const GridType &grid)
349 : mHandle(createNodeManager<BuildT, BufferType>(grid))
350 , mMgr(*(mHandle.template mgr<BuildT>())) {}
351 const GridType& grid() const {return mMgr.grid();}
352 const TreeType& tree() const {return mMgr.tree();}
353 const RootType& root() const {return mMgr.root();}
354 uint64_t nodeCount(int level) const { return mMgr.nodeCount(level); }
355 template <int LEVEL>
356 const NodeType<LEVEL>& node(uint32_t i) const {return mMgr.template node<LEVEL>(i); }
357 std::string getName() const {return std::string(this->grid().gridName());};
358 bool hasLongGridName() const {return this->grid().hasLongGridName();}
359 const nanovdb::Map& map() const {return this->grid().map();}
360 GridClass gridClass() const {return this->grid().gridClass();}
361 private:
362 NodeManagerHandle<BufferType> mHandle;
363 const NodeManager<BuildT> &mMgr;
364};// NodeAccessor<nanovdb::Grid>
365
366//================================================================================================
367
368/// @brief Trait that maps any type to the corresponding nanovdb type
369/// @tparam T Type to be mapped
370 template<typename T>
371 struct MapToNano { using type = T; };
372
373#if defined(NANOVDB_USE_OPENVDB) && !defined(__CUDACC__)
374
375 template<>
376 struct MapToNano<openvdb::ValueMask> {using type = nanovdb::ValueMask;};
377 template<typename T>
378 struct MapToNano<openvdb::math::Vec3<T>>{using type = nanovdb::Vec3<T>;};
379 template<typename T>
380 struct MapToNano<openvdb::math::Vec4<T>>{using type = nanovdb::Vec4<T>;};
381 template<>
382 struct MapToNano<openvdb::PointIndex32> {using type = uint32_t;};
383 template<>
384 struct MapToNano<openvdb::PointDataIndex32> {using type = uint32_t;};
385
386/// Templated Grid with default 32->16->8 configuration
387 template <typename BuildT>
388 using OpenLeaf = openvdb::tree::LeafNode<BuildT,3>;
389 template <typename BuildT>
390 using OpenLower = openvdb::tree::InternalNode<OpenLeaf<BuildT>,4>;
391 template <typename BuildT>
392 using OpenUpper = openvdb::tree::InternalNode<OpenLower<BuildT>,5>;
393 template <typename BuildT>
394 using OpenRoot = openvdb::tree::RootNode<OpenUpper<BuildT>>;
395 template <typename BuildT>
396 using OpenTree = openvdb::tree::Tree<OpenRoot<BuildT>>;
397 template <typename BuildT>
398 using OpenGrid = openvdb::Grid<OpenTree<BuildT>>;
399
400//================================================================================================
401
402/// @brief Template specialization for openvdb::Grid
403 template <typename BuildT>
404 class NodeAccessor<OpenGrid<BuildT>>
405{
406 public:
407 static constexpr bool IS_OPENVDB = true;
408 static constexpr bool IS_NANOVDB = false;
409 using BuildType = BuildT;
410 using GridType = OpenGrid<BuildT>;
411 using ValueType = typename GridType::ValueType;
412 using TreeType = OpenTree<BuildT>;
413 using RootType = OpenRoot<BuildT>;
414 template<int LEVEL>
415 using NodeType = typename NodeTrait<const TreeType, LEVEL>::type;
416 NodeAccessor(const GridType &grid) : mMgr(const_cast<GridType&>(grid)) {
417 const auto mat4 = this->grid().transform().baseMap()->getAffineMap()->getMat4();
418 mMap.set(mat4, mat4.inverse());
419 }
420 const GridType& grid() const {return mMgr.grid();}
421 const TreeType& tree() const {return mMgr.tree();}
422 const RootType& root() const {return mMgr.root();}
423 uint64_t nodeCount(int level) const { return mMgr.nodeCount(level); }
424 template <int LEVEL>
425 const NodeType<LEVEL>& node(uint32_t i) const {return mMgr.template node<LEVEL>(i); }
426 std::string getName() const { return this->grid().getName(); };
427 bool hasLongGridName() const {return this->grid().getName().length() >= GridData::MaxNameSize;}
428 const nanovdb::Map& map() const {return mMap;}
429 GridClass gridClass() const {
430 switch (this->grid().getGridClass()) {
431 case openvdb::GRID_LEVEL_SET:
432 if (!is_floating_point<BuildT>::value) OPENVDB_THROW(openvdb::ValueError, "processGrid: Level sets are expected to be floating point types");
433 return GridClass::LevelSet;
434 case openvdb::GRID_FOG_VOLUME:
435 return GridClass::FogVolume;
436 case openvdb::GRID_STAGGERED:
437 return GridClass::Staggered;
438 default:
439 return GridClass::Unknown;
440 }
441 }
442 private:
443 build::NodeManager<GridType> mMgr;
444 nanovdb::Map mMap;
445};// NodeAccessor<openvdb::Grid<T>>
446
447//================================================================================================
448
449/// @brief Template specialization for openvdb::tools::PointIndexGrid
450 template <>
451 class NodeAccessor<openvdb::tools::PointIndexGrid>
452{
453 public:
454 static constexpr bool IS_OPENVDB = true;
455 static constexpr bool IS_NANOVDB = false;
456 using BuildType = openvdb::PointIndex32;
457 using GridType = openvdb::tools::PointIndexGrid;
458 using TreeType = openvdb::tools::PointIndexTree;
459 using RootType = typename TreeType::RootNodeType;
460 using ValueType = typename GridType::ValueType;
461 template<int LEVEL>
462 using NodeType = typename NodeTrait<const TreeType, LEVEL>::type;
463 NodeAccessor(const GridType &grid) : mMgr(const_cast<GridType&>(grid)) {
464 const auto mat4 = this->grid().transform().baseMap()->getAffineMap()->getMat4();
465 mMap.set(mat4, mat4.inverse());
466 }
467 const GridType& grid() const {return mMgr.grid();}
468 const TreeType& tree() const {return mMgr.tree();}
469 const RootType& root() const {return mMgr.root();}
470 uint64_t nodeCount(int level) const { return mMgr.nodeCount(level); }
471 template <int LEVEL>
472 const NodeType<LEVEL>& node(uint32_t i) const {return mMgr.template node<LEVEL>(i); }
473 std::string getName() const { return this->grid().getName(); };
474 bool hasLongGridName() const {return this->grid().getName().length() >= GridData::MaxNameSize;}
475 const nanovdb::Map& map() const {return mMap;}
476 GridClass gridClass() const {return GridClass::PointIndex;}
477 private:
478 build::NodeManager<GridType> mMgr;
479 nanovdb::Map mMap;
480};// NodeAccessor<openvdb::tools::PointIndexGrid>
481
482//================================================================================================
483
484// @brief Template specialization for openvdb::points::PointDataGrid
485 template <>
486 class NodeAccessor<openvdb::points::PointDataGrid>
487{
488 public:
489 static constexpr bool IS_OPENVDB = true;
490 static constexpr bool IS_NANOVDB = false;
491 using BuildType = openvdb::PointDataIndex32;
492 using GridType = openvdb::points::PointDataGrid;
493 using TreeType = openvdb::points::PointDataTree;
494 using RootType = typename TreeType::RootNodeType;
495 using ValueType = typename GridType::ValueType;
496 template<int LEVEL>
497 using NodeType = typename NodeTrait<const TreeType, LEVEL>::type;
498 NodeAccessor(const GridType &grid) : mMgr(const_cast<GridType&>(grid)) {
499 const auto mat4 = this->grid().transform().baseMap()->getAffineMap()->getMat4();
500 mMap.set(mat4, mat4.inverse());
501 }
502 const GridType& grid() const {return mMgr.grid();}
503 const TreeType& tree() const {return mMgr.tree();}
504 const RootType& root() const {return mMgr.root();}
505 uint64_t nodeCount(int level) const { return mMgr.nodeCount(level); }
506 template <int LEVEL>
507 const NodeType<LEVEL>& node(uint32_t i) const {return mMgr.template node<LEVEL>(i); }
508 std::string getName() const { return this->grid().getName(); };
509 bool hasLongGridName() const {return this->grid().getName().length() >= GridData::MaxNameSize;}
510 const nanovdb::Map& map() const {return mMap;}
511 GridClass gridClass() const {return GridClass::PointData;}
512 private:
513 build::NodeManager<GridType> mMgr;
514 nanovdb::Map mMap;
515};// NodeAccessor<openvdb::points::PointDataGrid>
516
517#endif// NANOVDB_USE_OPENVDB
518
519//================================================================================================
520
521/// @brief Creates any nanovdb Grid from any source grid (certain combinations are obviously not allowed)
522 template <typename SrcGridT>
523 class CreateNanoGrid
524{
525 public:
526 // SrcGridT can be either openvdb::Grid, nanovdb::Grid or nanovdb::build::Grid
527 using SrcNodeAccT = NodeAccessor<SrcGridT>;
528 using SrcBuildT = typename SrcNodeAccT::BuildType;
529 using SrcValueT = typename SrcNodeAccT::ValueType;
530 using SrcTreeT = typename SrcNodeAccT::TreeType;
531 using SrcRootT = typename SrcNodeAccT::RootType;
532 template <int LEVEL>
533 using SrcNodeT = typename NodeTrait<SrcRootT, LEVEL>::type;
534
535 /// @brief Constructor from a source grid
536 /// @param srcGrid Source grid of type SrcGridT
537 CreateNanoGrid(const SrcGridT &srcGrid);
538
539 /// @brief Constructor from a source node accessor (defined above)
540 /// @param srcNodeAcc Source node accessor of type SrcNodeAccT
541 CreateNanoGrid(const SrcNodeAccT &srcNodeAcc);
542
543 /// @brief Set the level of verbosity
544 /// @param mode level of verbosity, mode=0 means quiet
545 void setVerbose(int mode = 1) { mVerbose = mode; }
546
547 /// @brief Enable or disable dithering, i.e. randomization of the quantization error.
548 /// @param on enable or disable dithering
549 /// @warning Dithering only has an affect when DstBuildT = {Fp4, Fp8, Fp16, FpN}
550 void enableDithering(bool on = true) { mDitherOn = on; }
551
552 /// @brief Set the mode used for computing statistics of the destination grid
553 /// @param mode specify the mode of statistics
554 void setStats(StatsMode mode = StatsMode::Default) { mStats = mode; }
555
556 /// @brief Set the mode used for computing checksums of the destination grid
557 /// @param mode specify the mode of checksum
558 void setChecksum(ChecksumMode mode = ChecksumMode::Default) { mChecksum = mode; }
559
560 /// @brief Converts the source grid into a nanovdb grid with the specified destination build type
561 /// @tparam DstBuildT build type of the destination, output, grid
562 /// @tparam BufferT Type of the buffer used for allocating the destination grid
563 /// @param buffer instance of the buffer use for allocation
564 /// @return Return an instance of a GridHandle (invoking move semantics)
565 /// @note This version is when DstBuildT != {FpN, ValueIndex, ValueOnIndex}
566 template<typename DstBuildT = typename MapToNano<SrcBuildT>::type, typename BufferT = HostBuffer>
567 typename disable_if<is_same<DstBuildT, FpN>::value ||
568 BuildTraits<DstBuildT>::is_index, GridHandle<BufferT>>::type
569 getHandle(const BufferT &buffer = BufferT());
570
571 /// @brief Converts the source grid into a nanovdb grid with variable bit quantization
572 /// @tparam DstBuildT FpN, i.e. the destination grid uses variable bit quantization
573 /// @tparam OracleT Type of oracle used to determine the N in FpN
574 /// @tparam BufferT Type of the buffer used for allocating the destination grid
575 /// @param oracle Instance of the oracle used to determine the N in FpN
576 /// @param buffer instance of the buffer use for allocation
577 /// @return Return an instance of a GridHandle (invoking move semantics)
578 /// @note This version assumes DstBuildT == FpN
579 template<typename DstBuildT = typename MapToNano<SrcBuildT>::type, typename OracleT = AbsDiff, typename BufferT = HostBuffer>
580 typename enable_if<is_same<DstBuildT, FpN>::value, GridHandle<BufferT>>::type
581 getHandle(const OracleT &oracle = OracleT(),
582 const BufferT &buffer = BufferT());
583
584 /// @brief Converts the source grid into a nanovdb grid with indices to external arrays of values
585 /// @tparam DstBuildT ValueIndex or ValueOnIndex, i.e. index all or just active values
586 /// @tparam BufferT Type of the buffer used for allocating the destination grid
587 /// @param channels Number of copies of values encoded as blind data in the destination grid
588 /// @param includeStats Specify if statics should be indexed
589 /// @param includeTiles Specify if tile values, i.e. non-leaf-node-values, should be indexed
590 /// @param buffer instance of the buffer use for allocation
591 /// @return Return an instance of a GridHandle (invoking move semantics)
592 template<typename DstBuildT = typename MapToNano<SrcBuildT>::type, typename BufferT = HostBuffer>
593 typename enable_if<BuildTraits<DstBuildT>::is_index, GridHandle<BufferT>>::type
594 getHandle(uint32_t channels = 0u,
595 bool includeStats = true,
596 bool includeTiles = true,
597 const BufferT &buffer = BufferT());
598
599 /// @brief Add blind data to the destination grid
600 /// @param name String name of the blind data
601 /// @param dataSemantic Semantics of the blind data
602 /// @param dataClass Class of the blind data
603 /// @param dataType Type of the blind data
604 /// @param count Element count of the blind data
605 /// @param size Size of each element of the blind data
606 /// @return Return the index used to access the blind data
607 uint64_t addBlindData(const std::string& name,
608 GridBlindDataSemantic dataSemantic,
609 GridBlindDataClass dataClass,
610 GridType dataType,
611 size_t count, size_t size)
612 {
613 const size_t order = mBlindMetaData.size();
614 mBlindMetaData.emplace(name, dataSemantic, dataClass, dataType, order, count, size);
615 return order;
616 }
617
618 /// @brief This method only has affect when getHandle was called with DstBuildT = ValueIndex or ValueOnIndex
619 /// @return Return the number of indexed values. If called before getHandle was called with
620 /// DstBuildT = ValueIndex or ValueOnIndex the return value is zero. Else it is a value larger than zero.
621 uint64_t valueCount() const {return mValIdx[0].empty() ? 0u : mValIdx[0].back();}
622
623 /// @brief Copy values from the source grid into a provided buffer
624 /// @tparam DstBuildT Must be ValueIndex or ValueOnIndex, i.e. a index grid
625 /// @param buffer point in which to write values
626 template <typename DstBuildT>
627 typename enable_if<BuildTraits<DstBuildT>::is_index>::type
628 copyValues(SrcValueT *buffer);
629
630 private:
631
632 // =========================================================
633
634 template <typename T, int LEVEL>
635 typename enable_if<!(is_same<T,FpN>::value&&LEVEL==0), typename NodeTrait<NanoRoot<T>, LEVEL>::type*>::type
636 dstNode(uint64_t i) const {
637 static_assert(LEVEL==0 || LEVEL==1 || LEVEL==2, "Expected LEVEL== {0,1,2}");
638 using NodeT = typename NodeTrait<NanoRoot<T>, LEVEL>::type;
639 return PtrAdd<NodeT>(mBufferPtr, mOffset[5-LEVEL]) + i;
640 }
641 template <typename T, int LEVEL>
642 typename enable_if<is_same<T,FpN>::value && LEVEL==0, NanoLeaf<FpN>*>::type
643 dstNode(uint64_t i) const {return PtrAdd<NanoLeaf<FpN>>(mBufferPtr, mCodec[i].offset);}
644
645 template <typename T> NanoRoot<T>* dstRoot() const {return PtrAdd<NanoRoot<T>>(mBufferPtr, mOffset.root);}
646 template <typename T> NanoTree<T>* dstTree() const {return PtrAdd<NanoTree<T>>(mBufferPtr, mOffset.tree);}
647 template <typename T> NanoGrid<T>* dstGrid() const {return PtrAdd<NanoGrid<T>>(mBufferPtr, mOffset.grid);}
648 GridBlindMetaData* dstMeta(uint32_t i) const { return PtrAdd<GridBlindMetaData>(mBufferPtr, mOffset.meta) + i;};
649
650 // =========================================================
651
652 template <typename DstBuildT>
653 typename disable_if<is_same<FpN,DstBuildT>::value || BuildTraits<DstBuildT>::is_index>::type
654 preProcess();
655
656 template <typename DstBuildT>
657 typename enable_if<BuildTraits<DstBuildT>::is_index>::type
658 preProcess(uint32_t channels);
659
660 template <typename DstBuildT, typename OracleT>
661 typename enable_if<is_same<FpN, DstBuildT>::value>::type
662 preProcess(OracleT oracle);
663
664 // =========================================================
665
666 // Below are private methods use to serialize nodes into NanoVDB
667 template<typename DstBuildT, typename BufferT>
668 GridHandle<BufferT> initHandle(const BufferT& buffer);
669
670 // =========================================================
671
672 template <typename DstBuildT>
673 inline typename enable_if<BuildTraits<DstBuildT>::is_index>::type
674 postProcess(uint32_t channels);
675
676 template <typename DstBuildT>
677 inline typename disable_if<BuildTraits<DstBuildT>::is_index>::type
678 postProcess();
679
680 // ========================================================
681
682 template<typename DstBuildT>
683 typename disable_if<BuildTraits<DstBuildT>::is_special>::type
684 processLeafs();
685
686 template<typename DstBuildT>
687 typename enable_if<BuildTraits<DstBuildT>::is_index>::type
688 processLeafs();
689
690 template<typename DstBuildT>
691 typename enable_if<BuildTraits<DstBuildT>::is_FpX>::type
692 processLeafs();
693
694 template<typename DstBuildT>
695 typename enable_if<is_same<FpN, DstBuildT>::value>::type
696 processLeafs();
697
698 template<typename DstBuildT>
699 typename enable_if<is_same<bool, DstBuildT>::value>::type
700 processLeafs();
701
702 template<typename DstBuildT>
703 typename enable_if<is_same<ValueMask, DstBuildT>::value>::type
704 processLeafs();
705
706 // =========================================================
707
708 template<typename DstBuildT, int LEVEL>
709 typename enable_if<BuildTraits<DstBuildT>::is_index>::type
710 processInternalNodes();
711
712 template<typename DstBuildT, int LEVEL>
713 typename enable_if<!BuildTraits<DstBuildT>::is_index>::type
714 processInternalNodes();
715
716 // =========================================================
717
718 template <typename DstBuildT>
719 typename enable_if<BuildTraits<DstBuildT>::is_index>::type
720 processRoot();
721
722 template <typename DstBuildT>
723 typename enable_if<!BuildTraits<DstBuildT>::is_index>::type
724 processRoot();
725
726 // =========================================================
727
728 template<typename DstBuildT>
729 void processTree();
730
731 template<typename DstBuildT>
732 void processGrid();
733
734 template <typename DstBuildT, int LEVEL>
735 typename enable_if<BuildTraits<DstBuildT>::is_index, uint64_t>::type
736 countTileValues(uint64_t valueCount);
737
738 template <typename DstBuildT>
739 typename enable_if<BuildTraits<DstBuildT>::is_index, uint64_t>::type
740 countValues();
741
742#if defined(NANOVDB_USE_OPENVDB) && !defined(__CUDACC__)
743 template<typename T = SrcGridT>
744 typename disable_if<is_same<T, openvdb::tools::PointIndexGrid>::value ||
745 is_same<T, openvdb::points::PointDataGrid>::value, uint64_t>::type
746 countPoints() const;
747
748 template<typename T = SrcGridT>
749 typename enable_if<is_same<T, openvdb::tools::PointIndexGrid>::value ||
750 is_same<T, openvdb::points::PointDataGrid>::value, uint64_t>::type
751 countPoints() const;
752
753 template<typename DstBuildT, typename AttT, typename CodecT = openvdb::points::UnknownCodec, typename T = SrcGridT>
754 typename enable_if<is_same<openvdb::points::PointDataGrid, T>::value>::type
755 copyPointAttribute(size_t attIdx, AttT *attPtr);
756#else
757 uint64_t countPoints() const {return 0u;}
758#endif
759
760 uint8_t* mBufferPtr;// pointer to the beginning of the destination nanovdb grid buffer
761 struct BufferOffsets {
762 uint64_t grid, tree, root, upper, lower, leaf, meta, blind, size;
763 uint64_t operator[](int i) const { return *(reinterpret_cast<const uint64_t*>(this)+i); }
764 } mOffset;
765 int mVerbose;
766 uint64_t mLeafNodeSize;// non-trivial when DstBuiltT = FpN
767
768 std::unique_ptr<SrcNodeAccT> mSrcNodeAccPtr;// placeholder for potential local instance
769 const SrcNodeAccT &mSrcNodeAcc;
770 struct BlindMetaData; // forward declaration
771 std::set<BlindMetaData> mBlindMetaData; // sorted according to BlindMetaData.order
772 struct Codec { float min, max; uint64_t offset; uint8_t log2; };// used for adaptive bit-rate quantization
773 std::unique_ptr<Codec[]> mCodec;// defines a codec per leaf node when DstBuildT = FpN
774 StatsMode mStats;
775 ChecksumMode mChecksum;
776 bool mDitherOn, mIncludeStats, mIncludeTiles;
777 std::vector<uint64_t> mValIdx[3];// store id of first value in node
778}; // CreateNanoGrid
779
780//================================================================================================
781
782 template <typename SrcGridT>
783 CreateNanoGrid<SrcGridT>::CreateNanoGrid(const SrcGridT &srcGrid)
784 : mVerbose(0)
785 , mSrcNodeAccPtr(new SrcNodeAccT(srcGrid))
786 , mSrcNodeAcc(*mSrcNodeAccPtr)
787 , mStats(StatsMode::Default)
788 , mChecksum(ChecksumMode::Default)
789 , mDitherOn(false)
790 , mIncludeStats(true)
791 , mIncludeTiles(true)
792{
793}
794
795//================================================================================================
796
797 template <typename SrcGridT>
798 CreateNanoGrid<SrcGridT>::CreateNanoGrid(const SrcNodeAccT &srcNodeAcc)
799 : mVerbose(0)
800 , mSrcNodeAccPtr(nullptr)
801 , mSrcNodeAcc(srcNodeAcc)
802 , mStats(StatsMode::Default)
803 , mChecksum(ChecksumMode::Default)
804 , mDitherOn(false)
805 , mIncludeStats(true)
806 , mIncludeTiles(true)
807{
808}
809
810//================================================================================================
811
812 template <typename SrcGridT>
813 struct CreateNanoGrid<SrcGridT>::BlindMetaData
814{
815 BlindMetaData(const std::string& name,// name + used to derive GridBlindDataSemantic
816 const std::string& type,// used to derive GridType of blind data
817 GridBlindDataClass dataClass,
818 size_t i, size_t valueCount, size_t valueSize)
819 : metaData(reinterpret_cast<GridBlindMetaData*>(new char[sizeof(GridBlindMetaData)]))
820 , order(i)// sorted id of meta data
821 , size(AlignUp<NANOVDB_DATA_ALIGNMENT>(valueCount * valueSize))
822 {
823 std::memset(metaData, 0, sizeof(GridBlindMetaData));// zero out all meta data
824 if (name.length()>=GridData::MaxNameSize) throw std::runtime_error("blind data name exceeds limit");
825 std::memcpy(metaData->mName, name.c_str(), name.length() + 1);
826 metaData->mValueCount = valueCount;
827 metaData->mSemantic = BlindMetaData::mapToSemantics(name);
828 metaData->mDataClass = dataClass;
829 metaData->mDataType = BlindMetaData::mapToType(type);
830 metaData->mValueSize = valueSize;
831 NANOVDB_ASSERT(metaData->isValid());
832 }
833 BlindMetaData(const std::string& name,// only name
834 GridBlindDataSemantic dataSemantic,
835 GridBlindDataClass dataClass,
836 GridType dataType,
837 size_t i, size_t valueCount, size_t valueSize)
838 : metaData(reinterpret_cast<GridBlindMetaData*>(new char[sizeof(GridBlindMetaData)]))
839 , order(i)// sorted id of meta data
840 , size(AlignUp<NANOVDB_DATA_ALIGNMENT>(valueCount * valueSize))
841 {
842 std::memset(metaData, 0, sizeof(GridBlindMetaData));// zero out all meta data
843 if (name.length()>=GridData::MaxNameSize) throw std::runtime_error("blind data name exceeds character limit");
844 std::memcpy(metaData->mName, name.c_str(), name.length() + 1);
845 metaData->mValueCount = valueCount;
846 metaData->mSemantic = dataSemantic;
847 metaData->mDataClass = dataClass;
848 metaData->mDataType = dataType;
849 metaData->mValueSize = valueSize;
850 NANOVDB_ASSERT(metaData->isValid());
851 }
852 ~BlindMetaData(){ delete [] reinterpret_cast<char*>(metaData); }
853 bool operator<(const BlindMetaData& other) const { return order < other.order; } // required by std::set
854 static GridType mapToType(const std::string& name)
855 {
856 GridType type = GridType::Unknown;
857 if ("uint32_t" == name) {
858 type = GridType::UInt32;
859 } else if ("float" == name) {
860 type = GridType::Float;
861 } else if ("vec3s"== name) {
862 type = GridType::Vec3f;
863 } else if ("int32" == name) {
864 type = GridType::Int32;
865 } else if ("int64" == name) {
866 type = GridType::Int64;
867 }
868 return type;
869 }
870 static GridBlindDataSemantic mapToSemantics(const std::string& name)
871 {
872 GridBlindDataSemantic semantic = GridBlindDataSemantic::Unknown;
873 if ("P" == name) {
874 semantic = GridBlindDataSemantic::PointPosition;
875 } else if ("V" == name) {
876 semantic = GridBlindDataSemantic::PointVelocity;
877 } else if ("Cd" == name) {
878 semantic = GridBlindDataSemantic::PointColor;
879 } else if ("N" == name) {
880 semantic = GridBlindDataSemantic::PointNormal;
881 } else if ("id" == name) {
882 semantic = GridBlindDataSemantic::PointId;
883 }
884 return semantic;
885 }
886 GridBlindMetaData *metaData;
887 const size_t order, size;
888}; // CreateNanoGrid::BlindMetaData
889
890//================================================================================================
891
892 template <typename SrcGridT>
893 template<typename DstBuildT, typename BufferT>
894 typename disable_if<is_same<DstBuildT, FpN>::value ||
895 BuildTraits<DstBuildT>::is_index, GridHandle<BufferT>>::type
896 CreateNanoGrid<SrcGridT>::getHandle(const BufferT& pool)
897{
898 this->template preProcess<DstBuildT>();
899 auto handle = this->template initHandle<DstBuildT>(pool);
900 this->template postProcess<DstBuildT>();
901 return handle;
902} // CreateNanoGrid::getHandle<T>
903
904//================================================================================================
905
906 template <typename SrcGridT>
907 template<typename DstBuildT, typename OracleT, typename BufferT>
908 typename enable_if<is_same<DstBuildT, FpN>::value, GridHandle<BufferT>>::type
909 CreateNanoGrid<SrcGridT>::getHandle(const OracleT& oracle, const BufferT& pool)
910{
911 this->template preProcess<DstBuildT, OracleT>(oracle);
912 auto handle = this->template initHandle<DstBuildT>(pool);
913 this->template postProcess<DstBuildT>();
914 return handle;
915} // CreateNanoGrid::getHandle<FpN>
916
917//================================================================================================
918
919 template <typename SrcGridT>
920 template<typename DstBuildT, typename BufferT>
921 typename enable_if<BuildTraits<DstBuildT>::is_index, GridHandle<BufferT>>::type
922 CreateNanoGrid<SrcGridT>::getHandle(uint32_t channels,
923 bool includeStats,
924 bool includeTiles,
925 const BufferT &pool)
926{
927 mIncludeStats = includeStats;
928 mIncludeTiles = includeTiles;
929 this->template preProcess<DstBuildT>(channels);
930 auto handle = this->template initHandle<DstBuildT>(pool);
931 this->template postProcess<DstBuildT>(channels);
932 return handle;
933}// CreateNanoGrid::getHandle<ValueIndex or ValueOnIndex>
934
935//================================================================================================
936
937 template <typename SrcGridT>
938 template <typename DstBuildT, typename BufferT>
939 GridHandle<BufferT> CreateNanoGrid<SrcGridT>::initHandle(const BufferT& pool)
940{
941 mOffset.grid = 0;// grid is always stored at the start of the buffer!
942 mOffset.tree = NanoGrid<DstBuildT>::memUsage(); // grid ends and tree begins
943 mOffset.root = mOffset.tree + NanoTree<DstBuildT>::memUsage(); // tree ends and root node begins
944 mOffset.upper = mOffset.root + NanoRoot<DstBuildT>::memUsage(mSrcNodeAcc.root().getTableSize()); // root node ends and upper internal nodes begin
945 mOffset.lower = mOffset.upper + NanoUpper<DstBuildT>::memUsage()*mSrcNodeAcc.nodeCount(2); // upper internal nodes ends and lower internal nodes begin
946 mOffset.leaf = mOffset.lower + NanoLower<DstBuildT>::memUsage()*mSrcNodeAcc.nodeCount(1); // lower internal nodes ends and leaf nodes begin
947 mOffset.meta = mOffset.leaf + mLeafNodeSize;// leaf nodes end and blind meta data begins
948 mOffset.blind = mOffset.meta + sizeof(GridBlindMetaData)*mBlindMetaData.size(); // meta data ends and blind data begins
949 mOffset.size = mOffset.blind;// end of buffer
950 for (const auto& b : mBlindMetaData) mOffset.size += b.size; // accumulate all the blind data
951
952 auto buffer = BufferT::create(mOffset.size, &pool);
953 mBufferPtr = buffer.data();
954
955 // Concurrent processing of all tree levels!
956 invoke( [&](){this->template processLeafs<DstBuildT>();},
957 [&](){this->template processInternalNodes<DstBuildT, 1>();},
958 [&](){this->template processInternalNodes<DstBuildT, 2>();},
959 [&](){this->template processRoot<DstBuildT>();},
960 [&](){this->template processTree<DstBuildT>();},
961 [&](){this->template processGrid<DstBuildT>();} );
962
963 return GridHandle<BufferT>(std::move(buffer));
964} // CreateNanoGrid::initHandle
965
966//================================================================================================
967
968 template <typename SrcGridT>
969 template <typename DstBuildT>
970 inline typename disable_if<is_same<FpN, DstBuildT>::value || BuildTraits<DstBuildT>::is_index>::type
971CreateNanoGrid<SrcGridT>::preProcess()
972{
973 if (const uint64_t pointCount = this->countPoints()) {
974#if defined(NANOVDB_USE_OPENVDB) && !defined(__CUDACC__)
975 if constexpr(is_same<openvdb::tools::PointIndexGrid, SrcGridT>::value) {
976 if (!mBlindMetaData.empty()) throw std::runtime_error("expected no blind meta data");
977 this->addBlindData("index",
978 GridBlindDataSemantic::PointId,
979 GridBlindDataClass::IndexArray,
980 GridType::UInt32,
981 pointCount,
982 sizeof(uint32_t));
983 } else if constexpr(is_same<openvdb::points::PointDataGrid, SrcGridT>::value) {
984 if (!mBlindMetaData.empty()) throw std::runtime_error("expected no blind meta data");
985 auto &srcLeaf = mSrcNodeAcc.template node<0>(0);
986 const auto& attributeSet = srcLeaf.attributeSet();
987 const auto& descriptor = attributeSet.descriptor();
988 const auto& nameMap = descriptor.map();
989 for (auto it = nameMap.begin(); it != nameMap.end(); ++it) {
990 const size_t index = it->second;
991 auto& attArray = srcLeaf.constAttributeArray(index);
992 mBlindMetaData.emplace(it->first, // name used to derive semantics
993 descriptor.valueType(index), // type
994 it->first == "id" ? GridBlindDataClass::IndexArray : GridBlindDataClass::AttributeArray, // class
995 index, // order
996 pointCount, // element count
997 attArray.valueTypeSize()); // element size
998 }
999 }
1000#endif// end NANOVDB_USE_OPENVDB
1001 }
1002 if (mSrcNodeAcc.hasLongGridName()) {
1003 this->addBlindData("grid name",
1004 GridBlindDataSemantic::Unknown,
1005 GridBlindDataClass::GridName,
1006 GridType::Unknown,
1007 mSrcNodeAcc.getName().length() + 1, 1);
1008 }
1009 mLeafNodeSize = mSrcNodeAcc.nodeCount(0)*NanoLeaf<DstBuildT>::DataType::memUsage();
1010}// CreateNanoGrid::preProcess<T>
1011
1012//================================================================================================
1013
1014 template <typename SrcGridT>
1015 template <typename DstBuildT, typename OracleT>
1016 inline typename enable_if<is_same<FpN, DstBuildT>::value>::type
1017CreateNanoGrid<SrcGridT>::preProcess(OracleT oracle)
1018{
1019 static_assert(is_same<float, SrcValueT>::value, "preProcess<FpN>: expected SrcValueT == float");
1020
1021 const size_t leafCount = mSrcNodeAcc.nodeCount(0);
1022 if (leafCount==0) {
1023 mLeafNodeSize = 0u;
1024 return;
1025 }
1026 mCodec.reset(new Codec[leafCount]);
1027
1028 if constexpr(is_same<AbsDiff, OracleT>::value) {
1029 if (!oracle) oracle.init(mSrcNodeAcc.gridClass(), mSrcNodeAcc.root().background());
1030 }
1031
1032 DitherLUT lut(mDitherOn);
1033 forEach(0, leafCount, 4, [&](const Range1D &r) {
1034 for (auto i=r.begin(); i!=r.end(); ++i) {
1035 const auto &srcLeaf = mSrcNodeAcc.template node<0>(i);
1036 float &min = mCodec[i].min = std::numeric_limits<float>::max();
1037 float &max = mCodec[i].max = -min;
1038 for (int j=0; j<512; ++j) {
1039 float v = srcLeaf.getValue(j);
1040 if (v<min) min = v;
1041 if (v>max) max = v;
1042 }
1043 const float range = max - min;
1044 uint8_t &logBitWidth = mCodec[i].log2 = 0;// 0,1,2,3,4 => 1,2,4,8,16 bits
1045 while (range > 0.0f && logBitWidth < 4u) {
1046 const uint32_t mask = (uint32_t(1) << (uint32_t(1) << logBitWidth)) - 1u;
1047 const float encode = mask/range;
1048 const float decode = range/mask;
1049 int j = 0;
1050 do {
1051 const float exact = srcLeaf.getValue(j);//data[j];// exact value
1052 const uint32_t code = uint32_t(encode*(exact - min) + lut(j));
1053 const float approx = code * decode + min;// approximate value
1054 j += oracle(exact, approx) ? 1 : 513;
1055 } while(j < 512);
1056 if (j == 512) break;
1057 ++logBitWidth;
1058 }
1059 }
1060 });
1061
1062 auto getOffset = [&](size_t i){
1063 --i;
1064 return mCodec[i].offset + NanoLeaf<DstBuildT>::DataType::memUsage(1u << mCodec[i].log2);
1065 };
1066 mCodec[0].offset = NanoGrid<FpN>::memUsage() +
1067 NanoTree<FpN>::memUsage() +
1068 NanoRoot<FpN>::memUsage(mSrcNodeAcc.root().getTableSize()) +
1069 NanoUpper<FpN>::memUsage()*mSrcNodeAcc.nodeCount(2) +
1070 NanoLower<FpN>::memUsage()*mSrcNodeAcc.nodeCount(1);
1071 for (size_t i=1; i<leafCount; ++i) mCodec[i].offset = getOffset(i);
1072 mLeafNodeSize = getOffset(leafCount);
1073
1074 if (mVerbose) {
1075 uint32_t counters[5+1] = {0};
1076 ++counters[mCodec[0].log2];
1077 for (size_t i=1; i<leafCount; ++i) ++counters[mCodec[i].log2];
1078 std::cout << "\n" << oracle << std::endl;
1079 std::cout << "Dithering: " << (mDitherOn ? "enabled" : "disabled") << std::endl;
1080 float avg = 0.0f;
1081 for (uint32_t i=0; i<=5; ++i) {
1082 if (uint32_t n = counters[i]) {
1083 avg += n * float(1 << i);
1084 printf("%2i bits: %6u leaf nodes, i.e. %4.1f%%\n",1<<i, n, 100.0f*n/float(leafCount));
1085 }
1086 }
1087 printf("%4.1f bits per value on average\n", avg/float(leafCount));
1088 }
1089
1090 if (mSrcNodeAcc.hasLongGridName()) {
1091 this->addBlindData("grid name",
1092 GridBlindDataSemantic::Unknown,
1093 GridBlindDataClass::GridName,
1094 GridType::Unknown,
1095 mSrcNodeAcc.getName().length() + 1, 1);
1096 }
1097}// CreateNanoGrid::preProcess<FpN>
1098
1099//================================================================================================
1100
1101 template <typename SrcGridT>
1102 template <typename DstBuildT, int LEVEL>
1103 inline typename enable_if<BuildTraits<DstBuildT>::is_index, uint64_t>::type
1104CreateNanoGrid<SrcGridT>::countTileValues(uint64_t valueCount)
1105{
1106 const uint64_t stats = mIncludeStats ? 4u : 0u;// minimum, maximum, average, and deviation
1107 mValIdx[LEVEL].clear();
1108 mValIdx[LEVEL].resize(mSrcNodeAcc.nodeCount(LEVEL) + 1, stats);// minimum 1 entry
1109 forEach(1, mValIdx[LEVEL].size(), 8, [&](const Range1D& r){
1110 for (auto i = r.begin(); i!=r.end(); ++i) {
1111 auto &srcNode = mSrcNodeAcc.template node<LEVEL>(i-1);
1112 if constexpr(BuildTraits<DstBuildT>::is_onindex) {// resolved at compile time
1113 mValIdx[LEVEL][i] += srcNode.getValueMask().countOn();
1114 } else {
1115 static const uint64_t maxTileCount = uint64_t(1u) << 3*srcNode.LOG2DIM;
1116 mValIdx[LEVEL][i] += maxTileCount - srcNode.getChildMask().countOn();
1117 }
1118 }
1119 });
1120 mValIdx[LEVEL][0] = valueCount;
1121 for (size_t i=1; i<mValIdx[LEVEL].size(); ++i) mValIdx[LEVEL][i] += mValIdx[LEVEL][i-1];// pre-fixed sum
1122 return mValIdx[LEVEL].back();
1123}// CreateNanoGrid::countTileValues<ValueIndex or ValueOnIndex>
1124
1125//================================================================================================
1126
1127 template <typename SrcGridT>
1128 template <typename DstBuildT>
1129 inline typename enable_if<BuildTraits<DstBuildT>::is_index, uint64_t>::type
1130CreateNanoGrid<SrcGridT>::countValues()
1131{
1132 const uint64_t stats = mIncludeStats ? 4u : 0u;// minimum, maximum, average, and deviation
1133 uint64_t valueCount = 1u;// offset 0 corresponds to the background value
1134 if (mIncludeTiles) {
1135 if constexpr(BuildTraits<DstBuildT>::is_onindex) {
1136 for (auto it = mSrcNodeAcc.root().cbeginValueOn(); it; ++it) ++valueCount;
1137 } else {
1138 for (auto it = mSrcNodeAcc.root().cbeginValueAll(); it; ++it) ++valueCount;
1139 }
1140 valueCount += stats;// optionally append stats for the root node
1141 valueCount = countTileValues<DstBuildT, 2>(valueCount);
1142 valueCount = countTileValues<DstBuildT, 1>(valueCount);
1143 }
1144 mValIdx[0].clear();
1145 mValIdx[0].resize(mSrcNodeAcc.nodeCount(0) + 1, 512u + stats);// minimum 1 entry
1146 if constexpr(BuildTraits<DstBuildT>::is_onindex) {
1147 forEach(1, mValIdx[0].size(), 8, [&](const Range1D& r) {
1148 for (auto i = r.begin(); i != r.end(); ++i) {
1149 mValIdx[0][i] = stats;
1150 mValIdx[0][i] += mSrcNodeAcc.template node<0>(i-1).getValueMask().countOn();
1151 }
1152 });
1153 }
1154 mValIdx[0][0] = valueCount;
1155 prefixSum(mValIdx[0], true);// inclusive prefix sum
1156 return mValIdx[0].back();
1157}// CreateNanoGrid::countValues<ValueIndex or ValueOnIndex>()
1158
1159//================================================================================================
1160
1161 template <typename SrcGridT>
1162 template <typename DstBuildT>
1163 inline typename enable_if<BuildTraits<DstBuildT>::is_index>::type
1164CreateNanoGrid<SrcGridT>::preProcess(uint32_t channels)
1165{
1166 const uint64_t valueCount = this->template countValues<DstBuildT>();
1167 mLeafNodeSize = mSrcNodeAcc.nodeCount(0)*NanoLeaf<DstBuildT>::DataType::memUsage();
1168
1169 uint32_t order = mBlindMetaData.size();
1170 for (uint32_t i=0; i<channels; ++i) {
1171 mBlindMetaData.emplace("channel_"+std::to_string(i),
1172 toStr(mapToGridType<SrcValueT>()),
1173 GridBlindDataClass::AttributeArray,
1174 order++,
1175 valueCount,
1176 sizeof(SrcValueT));
1177 }
1178 if (mSrcNodeAcc.hasLongGridName()) {
1179 this->addBlindData("grid name",
1180 GridBlindDataSemantic::Unknown,
1181 GridBlindDataClass::GridName,
1182 GridType::Unknown,
1183 mSrcNodeAcc.getName().length() + 1, 1);
1184 }
1185}// preProcess<ValueIndex or ValueOnIndex>
1186
1187//================================================================================================
1188
1189 template <typename SrcGridT>
1190 template <typename DstBuildT>
1191 inline typename disable_if<BuildTraits<DstBuildT>::is_special>::type
1192CreateNanoGrid<SrcGridT>::processLeafs()
1193{
1194 using DstDataT = typename NanoLeaf<DstBuildT>::DataType;
1195 using DstValueT = typename DstDataT::ValueType;
1196 static_assert(DstDataT::FIXED_SIZE, "Expected destination LeafNode<T> to have fixed size");
1197 forEach(0, mSrcNodeAcc.nodeCount(0), 8, [&](const Range1D& r) {
1198 auto *dstData = this->template dstNode<DstBuildT,0>(r.begin())->data();
1199 for (auto i = r.begin(); i != r.end(); ++i, ++dstData) {
1200 auto &srcLeaf = mSrcNodeAcc.template node<0>(i);
1201 if (DstDataT::padding()>0u) {
1202 // Cast to void* to avoid compiler warning about missing trivial copy-assignment
1203 std::memset(reinterpret_cast<void*>(dstData), 0, DstDataT::memUsage());
1204 } else {
1205 dstData->mBBoxDif[0] = dstData->mBBoxDif[1] = dstData->mBBoxDif[2] = 0u;
1206 dstData->mFlags = 0u;// enable rendering, no bbox, no stats
1207 dstData->mMinimum = dstData->mMaximum = typename DstDataT::ValueType();
1208 dstData->mAverage = dstData->mStdDevi = 0;
1209 }
1210 dstData->mBBoxMin = srcLeaf.origin(); // copy origin of node
1211 dstData->mValueMask = srcLeaf.getValueMask(); // copy value mask
1212 DstValueT *dst = dstData->mValues;
1213 if constexpr(is_same<DstValueT, SrcValueT>::value && SrcNodeAccT::IS_OPENVDB) {
1214 const SrcValueT *src = srcLeaf.buffer().data();
1215 for (auto *end = dst + 512u; dst != end; dst += 4, src += 4) {
1216 dst[0] = src[0]; // copy *all* voxel values in sets of four, i.e. loop-unrolling
1217 dst[1] = src[1];
1218 dst[2] = src[2];
1219 dst[3] = src[3];
1220 }
1221 } else {
1222 for (uint32_t j=0; j<512u; ++j) *dst++ = static_cast<DstValueT>(srcLeaf.getValue(j));
1223 }
1224 }
1225 });
1226} // CreateNanoGrid::processLeafs<T>
1227
1228//================================================================================================
1229
1230 template <typename SrcGridT>
1231 template <typename DstBuildT>
1232 inline typename enable_if<BuildTraits<DstBuildT>::is_index>::type
1233CreateNanoGrid<SrcGridT>::processLeafs()
1234{
1235 using DstDataT = typename NanoLeaf<DstBuildT>::DataType;
1236 static_assert(DstDataT::FIXED_SIZE, "Expected destination LeafNode<ValueIndex> to have fixed size");
1237 static_assert(DstDataT::padding()==0u, "Expected leaf nodes to have no padding");
1238
1239 forEach(0, mSrcNodeAcc.nodeCount(0), 8, [&](const Range1D& r) {
1240 const uint8_t flags = mIncludeStats ? 16u : 0u;// 4th bit indicates stats
1241 DstDataT *dstData = this->template dstNode<DstBuildT,0>(r.begin())->data();// fixed size
1242 for (auto i = r.begin(); i != r.end(); ++i, ++dstData) {
1243 auto &srcLeaf = mSrcNodeAcc.template node<0>(i);
1244 dstData->mBBoxMin = srcLeaf.origin(); // copy origin of node
1245 dstData->mBBoxDif[0] = dstData->mBBoxDif[1] = dstData->mBBoxDif[2] = 0u;
1246 dstData->mFlags = flags;
1247 dstData->mValueMask = srcLeaf.getValueMask(); // copy value mask
1248 dstData->mOffset = mValIdx[0][i];
1249 if constexpr(BuildTraits<DstBuildT>::is_onindex) {
1250 const uint64_t *w = dstData->mValueMask.words();
1251#ifdef USE_OLD_VALUE_ON_INDEX
1252 int32_t sum = CountOn(*w++);
1253 uint8_t *p = reinterpret_cast<uint8_t*>(&dstData->mPrefixSum), *q = p + 7;
1254 for (int j=0; j<7; ++j) {
1255 *p++ = sum & 255u;
1256 *q |= (sum >> 8) << j;
1257 sum += CountOn(*w++);
1258 }
1259#else
1260 uint64_t &prefixSum = dstData->mPrefixSum, sum = CountOn(*w++);
1261 prefixSum = sum;
1262 for (int n = 9; n < 55; n += 9) {// n=i*9 where i=1,2,..6
1263 sum += CountOn(*w++);
1264 prefixSum |= sum << n;// each pre-fixed sum is encoded in 9 bits
1265 }
1266#endif
1267 } else {
1268 dstData->mPrefixSum = 0u;
1269 }
1270 if constexpr(BuildTraits<DstBuildT>::is_indexmask) dstData->mMask = dstData->mValueMask;
1271 }
1272 });
1273} // CreateNanoGrid::processLeafs<ValueIndex or ValueOnIndex>
1274
1275//================================================================================================
1276
1277 template <typename SrcGridT>
1278 template <typename DstBuildT>
1279 inline typename enable_if<is_same<ValueMask, DstBuildT>::value>::type
1280CreateNanoGrid<SrcGridT>::processLeafs()
1281{
1282 using DstDataT = typename NanoLeaf<ValueMask>::DataType;
1283 static_assert(DstDataT::FIXED_SIZE, "Expected destination LeafNode<ValueMask> to have fixed size");
1284 forEach(0, mSrcNodeAcc.nodeCount(0), 8, [&](const Range1D& r) {
1285 auto *dstData = this->template dstNode<DstBuildT,0>(r.begin())->data();
1286 for (auto i = r.begin(); i != r.end(); ++i, ++dstData) {
1287 auto &srcLeaf = mSrcNodeAcc.template node<0>(i);
1288 if (DstDataT::padding()>0u) {
1289 // Cast to void* to avoid compiler warning about missing trivial copy-assignment
1290 std::memset(reinterpret_cast<void*>(dstData), 0, DstDataT::memUsage());
1291 } else {
1292 dstData->mBBoxDif[0] = dstData->mBBoxDif[1] = dstData->mBBoxDif[2] = 0u;
1293 dstData->mFlags = 0u;// enable rendering, no bbox, no stats
1294 dstData->mPadding[0] = dstData->mPadding[1] = 0u;
1295 }
1296 dstData->mBBoxMin = srcLeaf.origin(); // copy origin of node
1297 dstData->mValueMask = srcLeaf.getValueMask(); // copy value mask
1298 }
1299 });
1300} // CreateNanoGrid::processLeafs<ValueMask>
1301
1302//================================================================================================
1303
1304 template <typename SrcGridT>
1305 template <typename DstBuildT>
1306 inline typename enable_if<is_same<bool, DstBuildT>::value>::type
1307CreateNanoGrid<SrcGridT>::processLeafs()
1308{
1309 using DstDataT = typename NanoLeaf<bool>::DataType;
1310 static_assert(DstDataT::FIXED_SIZE, "Expected destination LeafNode<bool> to have fixed size");
1311 forEach(0, mSrcNodeAcc.nodeCount(0), 8, [&](const Range1D& r) {
1312 auto *dstData = this->template dstNode<DstBuildT,0>(r.begin())->data();
1313 for (auto i = r.begin(); i != r.end(); ++i, ++dstData) {
1314 auto &srcLeaf = mSrcNodeAcc.template node<0>(i);
1315 if (DstDataT::padding()>0u) {
1316 // Cast to void* to avoid compiler warning about missing trivial copy-assignment
1317 std::memset(reinterpret_cast<void*>(dstData), 0, DstDataT::memUsage());
1318 } else {
1319 dstData->mBBoxDif[0] = dstData->mBBoxDif[1] = dstData->mBBoxDif[2] = 0u;
1320 dstData->mFlags = 0u;// enable rendering, no bbox, no stats
1321 }
1322 dstData->mBBoxMin = srcLeaf.origin(); // copy origin of node
1323 dstData->mValueMask = srcLeaf.getValueMask(); // copy value mask
1324 if constexpr(!is_same<bool, SrcBuildT>::value) {
1325 for (int j=0; j<512; ++j) dstData->mValues.set(j, static_cast<bool>(srcLeaf.getValue(j)));
1326 } else if constexpr(SrcNodeAccT::IS_OPENVDB) {
1327 dstData->mValues = *reinterpret_cast<const Mask<3>*>(srcLeaf.buffer().data());
1328 } else if constexpr(SrcNodeAccT::IS_NANOVDB) {
1329 dstData->mValues = srcLeaf.data()->mValues;
1330 } else {// build::Leaf
1331 dstData->mValues = srcLeaf.mValues; // copy value mask
1332 }
1333 }
1334 });
1335} // CreateNanoGrid::processLeafs<bool>
1336
1337//================================================================================================
1338
1339 template <typename SrcGridT>
1340 template <typename DstBuildT>
1341 inline typename enable_if<BuildTraits<DstBuildT>::is_FpX>::type
1342CreateNanoGrid<SrcGridT>::processLeafs()
1343{
1344 using DstDataT = typename NanoLeaf<DstBuildT>::DataType;
1345 static_assert(DstDataT::FIXED_SIZE, "Expected destination LeafNode<Fp4|Fp8|Fp16> to have fixed size");
1346 using ArrayT = typename DstDataT::ArrayType;
1347 static_assert(is_same<float, SrcValueT>::value, "Expected ValueT == float");
1348 using FloatT = typename std::conditional<DstDataT::bitWidth()>=16, double, float>::type;// 16 compression and higher requires double
1349 static constexpr FloatT UNITS = FloatT((1 << DstDataT::bitWidth()) - 1);// # of unique non-zero values
1350 DitherLUT lut(mDitherOn);
1351
1352 forEach(0, mSrcNodeAcc.nodeCount(0), 8, [&](const Range1D& r) {
1353 auto *dstData = this->template dstNode<DstBuildT,0>(r.begin())->data();
1354 for (auto i = r.begin(); i != r.end(); ++i, ++dstData) {
1355 auto &srcLeaf = mSrcNodeAcc.template node<0>(i);
1356 if (DstDataT::padding()>0u) {
1357 // Cast to void* to avoid compiler warning about missing trivial copy-assignment
1358 std::memset(reinterpret_cast<void*>(dstData), 0, DstDataT::memUsage());
1359 } else {
1360 dstData->mFlags = dstData->mBBoxDif[2] = dstData->mBBoxDif[1] = dstData->mBBoxDif[0] = 0u;
1361 dstData->mDev = dstData->mAvg = dstData->mMax = dstData->mMin = 0u;
1362 }
1363 dstData->mBBoxMin = srcLeaf.origin(); // copy origin of node
1364 dstData->mValueMask = srcLeaf.getValueMask(); // copy value mask
1365 // compute extrema values
1366 float min = std::numeric_limits<float>::max(), max = -min;
1367 for (uint32_t j=0; j<512u; ++j) {
1368 const float v = srcLeaf.getValue(j);
1369 if (v < min) min = v;
1370 if (v > max) max = v;
1371 }
1372 dstData->init(min, max, DstDataT::bitWidth());
1373 // perform quantization relative to the values in the current leaf node
1374 const FloatT encode = UNITS/(max-min);
1375 uint32_t offset = 0;
1376 auto quantize = [&]()->ArrayT{
1377 const ArrayT tmp = static_cast<ArrayT>(encode * (srcLeaf.getValue(offset) - min) + lut(offset));
1378 ++offset;
1379 return tmp;
1380 };
1381 auto *code = reinterpret_cast<ArrayT*>(dstData->mCode);
1382 if (is_same<Fp4, DstBuildT>::value) {// resolved at compile-time
1383 for (uint32_t j=0; j<128u; ++j) {
1384 auto tmp = quantize();
1385 *code++ = quantize() << 4 | tmp;
1386 tmp = quantize();
1387 *code++ = quantize() << 4 | tmp;
1388 }
1389 } else {
1390 for (uint32_t j=0; j<128u; ++j) {
1391 *code++ = quantize();
1392 *code++ = quantize();
1393 *code++ = quantize();
1394 *code++ = quantize();
1395 }
1396 }
1397 }
1398 });
1399} // CreateNanoGrid::processLeafs<Fp4, Fp8, Fp16>
1400
1401//================================================================================================
1402
1403 template <typename SrcGridT>
1404 template <typename DstBuildT>
1405 inline typename enable_if<is_same<FpN, DstBuildT>::value>::type
1406CreateNanoGrid<SrcGridT>::processLeafs()
1407{
1408 static_assert(is_same<float, SrcValueT>::value, "Expected SrcValueT == float");
1409 DitherLUT lut(mDitherOn);
1410 forEach(0, mSrcNodeAcc.nodeCount(0), 8, [&](const Range1D& r) {
1411 for (auto i = r.begin(); i != r.end(); ++i) {
1412 auto &srcLeaf = mSrcNodeAcc.template node<0>(i);
1413 auto *dstData = this->template dstNode<DstBuildT,0>(i)->data();
1414 dstData->mBBoxMin = srcLeaf.origin(); // copy origin of node
1415 dstData->mBBoxDif[0] = dstData->mBBoxDif[1] = dstData->mBBoxDif[2] = 0u;
1416 const uint8_t logBitWidth = mCodec[i].log2;
1417 dstData->mFlags = logBitWidth << 5;// pack logBitWidth into 3 MSB of mFlag
1418 dstData->mValueMask = srcLeaf.getValueMask(); // copy value mask
1419 const float min = mCodec[i].min, max = mCodec[i].max;
1420 dstData->init(min, max, uint8_t(1) << logBitWidth);
1421 // perform quantization relative to the values in the current leaf node
1422 uint32_t offset = 0;
1423 float encode = 0.0f;
1424 auto quantize = [&]()->uint8_t{
1425 const uint8_t tmp = static_cast<uint8_t>(encode * (srcLeaf.getValue(offset) - min) + lut(offset));
1426 ++offset;
1427 return tmp;
1428 };
1429 auto *dst = reinterpret_cast<uint8_t*>(dstData+1);
1430 switch (logBitWidth) {
1431 case 0u: {// 1 bit
1432 encode = 1.0f/(max - min);
1433 for (int j=0; j<64; ++j) {
1434 uint8_t a = 0;
1435 for (int k=0; k<8; ++k) a |= quantize() << k;
1436 *dst++ = a;
1437 }
1438 }
1439 break;
1440 case 1u: {// 2 bits
1441 encode = 3.0f/(max - min);
1442 for (int j=0; j<128; ++j) {
1443 auto a = quantize();
1444 a |= quantize() << 2;
1445 a |= quantize() << 4;
1446 *dst++ = quantize() << 6 | a;
1447 }
1448 }
1449 break;
1450 case 2u: {// 4 bits
1451 encode = 15.0f/(max - min);
1452 for (int j=0; j<128; ++j) {
1453 auto a = quantize();
1454 *dst++ = quantize() << 4 | a;
1455 a = quantize();
1456 *dst++ = quantize() << 4 | a;
1457 }
1458 }
1459 break;
1460 case 3u: {// 8 bits
1461 encode = 255.0f/(max - min);
1462 for (int j=0; j<128; ++j) {
1463 *dst++ = quantize();
1464 *dst++ = quantize();
1465 *dst++ = quantize();
1466 *dst++ = quantize();
1467 }
1468 }
1469 break;
1470 default: {// 16 bits - special implementation using higher bit-precision
1471 auto *dst = reinterpret_cast<uint16_t*>(dstData+1);
1472 const double encode = 65535.0/(max - min);// note that double is required!
1473 for (int j=0; j<128; ++j) {
1474 *dst++ = uint16_t(encode * (srcLeaf.getValue(offset) - min) + lut(offset)); ++offset;
1475 *dst++ = uint16_t(encode * (srcLeaf.getValue(offset) - min) + lut(offset)); ++offset;
1476 *dst++ = uint16_t(encode * (srcLeaf.getValue(offset) - min) + lut(offset)); ++offset;
1477 *dst++ = uint16_t(encode * (srcLeaf.getValue(offset) - min) + lut(offset)); ++offset;
1478 }
1479 }
1480 }// end switch
1481 }
1482 });// kernel
1483} // CreateNanoGrid::processLeafs<FpN>
1484
1485//================================================================================================
1486
1487 template <typename SrcGridT>
1488 template <typename DstBuildT, int LEVEL>
1489 inline typename enable_if<!BuildTraits<DstBuildT>::is_index>::type
1490CreateNanoGrid<SrcGridT>::processInternalNodes()
1491{
1492 using DstNodeT = typename NanoNode<DstBuildT, LEVEL>::type;
1493 using DstValueT = typename DstNodeT::ValueType;
1494 using DstChildT = typename NanoNode<DstBuildT, LEVEL-1>::type;
1495 static_assert(LEVEL == 1 || LEVEL == 2, "Expected internal node");
1496
1497 const uint64_t nodeCount = mSrcNodeAcc.nodeCount(LEVEL);
1498 if (nodeCount > 0) {// compute and temporarily encode IDs of child nodes
1499 uint64_t childCount = 0;
1500 auto *dstData = this->template dstNode<DstBuildT,LEVEL>(0)->data();
1501 for (uint64_t i=0; i<nodeCount; ++i) {
1502 dstData[i].mFlags = childCount;
1503 childCount += mSrcNodeAcc.template node<LEVEL>(i).getChildMask().countOn();
1504 }
1505 }
1506
1507 forEach(0, nodeCount, 4, [&](const Range1D& r) {
1508 auto *dstData = this->template dstNode<DstBuildT,LEVEL>(r.begin())->data();
1509 for (auto i = r.begin(); i != r.end(); ++i, ++dstData) {
1510 auto &srcNode = mSrcNodeAcc.template node<LEVEL>(i);
1511 uint64_t childID = dstData->mFlags;
1512 if (DstNodeT::DataType::padding()>0u) {
1513 // Cast to void* to avoid compiler warning about missing trivial copy-assignment
1514 std::memset(reinterpret_cast<void*>(dstData), 0, DstNodeT::memUsage());
1515 } else {
1516 dstData->mFlags = 0;// enable rendering, no bbox, no stats
1517 dstData->mMinimum = dstData->mMaximum = typename DstNodeT::ValueType();
1518 dstData->mAverage = dstData->mStdDevi = 0;
1519 }
1520 dstData->mBBox[0] = srcNode.origin(); // copy origin of node
1521 dstData->mValueMask = srcNode.getValueMask(); // copy value mask
1522 dstData->mChildMask = srcNode.getChildMask(); // copy child mask
1523 for (auto it = srcNode.cbeginChildAll(); it; ++it) {
1524 SrcValueT value{}; // default initialization
1525 if (it.probeChild(value)) {
1526 DstChildT *dstChild = this->template dstNode<DstBuildT,LEVEL-1>(childID++);// might be Leaf<FpN>
1527 dstData->setChild(it.pos(), dstChild);
1528 } else {
1529 dstData->setValue(it.pos(), static_cast<DstValueT>(value));
1530 }
1531 }
1532 }
1533 });
1534} // CreateNanoGrid::processInternalNodes<T>
1535
1536//================================================================================================
1537
1538 template <typename SrcGridT>
1539 template <typename DstBuildT, int LEVEL>
1540 inline typename enable_if<BuildTraits<DstBuildT>::is_index>::type
1541CreateNanoGrid<SrcGridT>::processInternalNodes()
1542{
1543 using DstNodeT = typename NanoNode<DstBuildT, LEVEL>::type;
1544 using DstChildT = typename NanoNode<DstBuildT, LEVEL-1>::type;
1545 static_assert(LEVEL == 1 || LEVEL == 2, "Expected internal node");
1546 static_assert(DstNodeT::DataType::padding()==0u, "Expected internal nodes to have no padding");
1547
1548 const uint64_t nodeCount = mSrcNodeAcc.nodeCount(LEVEL);
1549 if (nodeCount > 0) {// compute and temporarily encode IDs of child nodes
1550 uint64_t childCount = 0;
1551 auto *dstData = this->template dstNode<DstBuildT,LEVEL>(0)->data();
1552 for (uint64_t i=0; i<nodeCount; ++i) {
1553 dstData[i].mFlags = childCount;
1554 childCount += mSrcNodeAcc.template node<LEVEL>(i).getChildMask().countOn();
1555 }
1556 }
1557
1558 forEach(0, nodeCount, 4, [&](const Range1D& r) {
1559 auto *dstData = this->template dstNode<DstBuildT,LEVEL>(r.begin())->data();
1560 for (auto i = r.begin(); i != r.end(); ++i, ++dstData) {
1561 auto &srcNode = mSrcNodeAcc.template node<LEVEL>(i);
1562 uint64_t childID = dstData->mFlags;
1563 dstData->mFlags = 0u;
1564 dstData->mBBox[0] = srcNode.origin(); // copy origin of node
1565 dstData->mValueMask = srcNode.getValueMask(); // copy value mask
1566 dstData->mChildMask = srcNode.getChildMask(); // copy child mask
1567 uint64_t n = mIncludeTiles ? mValIdx[LEVEL][i] : 0u;
1568 for (auto it = srcNode.cbeginChildAll(); it; ++it) {
1569 SrcValueT value;
1570 if (it.probeChild(value)) {
1571 DstChildT *dstChild = this->template dstNode<DstBuildT,LEVEL-1>(childID++);// might be Leaf<FpN>
1572 dstData->setChild(it.pos(), dstChild);
1573 } else {
1574 uint64_t m = 0u;
1575 if (mIncludeTiles && !((BuildTraits<DstBuildT>::is_onindex) && dstData->mValueMask.isOff(it.pos()))) m = n++;
1576 dstData->setValue(it.pos(), m);
1577 }
1578 }
1579 if (mIncludeTiles && mIncludeStats) {// stats are always placed after the tile values
1580 dstData->mMinimum = n++;
1581 dstData->mMaximum = n++;
1582 dstData->mAverage = n++;
1583 dstData->mStdDevi = n++;
1584 } else {// if not tiles or stats set stats to the background offset
1585 dstData->mMinimum = 0u;
1586 dstData->mMaximum = 0u;
1587 dstData->mAverage = 0u;
1588 dstData->mStdDevi = 0u;
1589 }
1590 }
1591 });
1592} // CreateNanoGrid::processInternalNodes<ValueIndex or ValueOnIndex>
1593
1594//================================================================================================
1595
1596 template <typename SrcGridT>
1597 template <typename DstBuildT>
1598 inline typename enable_if<!BuildTraits<DstBuildT>::is_index>::type
1599CreateNanoGrid<SrcGridT>::processRoot()
1600{
1601 using DstRootT = NanoRoot<DstBuildT>;
1602 using DstValueT = typename DstRootT::ValueType;
1603 auto &srcRoot = mSrcNodeAcc.root();
1604 auto *dstData = this->template dstRoot<DstBuildT>()->data();
1605 const uint32_t tableSize = srcRoot.getTableSize();
1606 // Cast to void* to avoid compiler warning about missing trivial copy-assignment
1607 if (DstRootT::DataType::padding()>0) std::memset(reinterpret_cast<void*>(dstData), 0, DstRootT::memUsage(tableSize));
1608 dstData->mTableSize = tableSize;
1609 dstData->mMinimum = dstData->mMaximum = dstData->mBackground = srcRoot.background();
1610 dstData->mBBox = CoordBBox(); // // set to an empty bounding box
1611 if (tableSize==0) return;
1612 auto *dstChild = this->template dstNode<DstBuildT, 2>(0);// fixed size and linear in memory
1613 auto *dstTile = dstData->tile(0);// fixed size and linear in memory
1614 for (auto it = srcRoot.cbeginChildAll(); it; ++it, ++dstTile) {
1615 SrcValueT value;
1616 if (it.probeChild(value)) {
1617 dstTile->setChild(it.getCoord(), dstChild++, dstData);
1618 } else {
1619 dstTile->setValue(it.getCoord(), it.isValueOn(), static_cast<DstValueT>(value));
1620 }
1621 }
1622} // CreateNanoGrid::processRoot<T>
1623
1624//================================================================================================
1625
1626 template <typename SrcGridT>
1627 template <typename DstBuildT>
1628 inline typename enable_if<BuildTraits<DstBuildT>::is_index>::type
1629CreateNanoGrid<SrcGridT>::processRoot()
1630{
1631 using DstRootT = NanoRoot<DstBuildT>;
1632 auto &srcRoot = mSrcNodeAcc.root();
1633 auto *dstData = this->template dstRoot<DstBuildT>()->data();
1634 const uint32_t tableSize = srcRoot.getTableSize();
1635 // Cast to void* to avoid compiler warning about missing trivial copy-assignment
1636 if (DstRootT::DataType::padding()>0) std::memset(reinterpret_cast<void*>(dstData), 0, DstRootT::memUsage(tableSize));
1637 dstData->mTableSize = tableSize;
1638 dstData->mBackground = 0u;
1639 uint64_t valueCount = 0u;// the first entry is always the background value
1640 dstData->mBBox = CoordBBox(); // set to an empty/invalid bounding box
1641
1642 if (tableSize>0) {
1643 auto *dstChild = this->template dstNode<DstBuildT, 2>(0);// fixed size and linear in memory
1644 auto *dstTile = dstData->tile(0);// fixed size and linear in memory
1645 for (auto it = srcRoot.cbeginChildAll(); it; ++it, ++dstTile) {
1646 SrcValueT tmp;
1647 if (it.probeChild(tmp)) {
1648 dstTile->setChild(it.getCoord(), dstChild++, dstData);
1649 } else {
1650 dstTile->setValue(it.getCoord(), it.isValueOn(), 0u);
1651 if (mIncludeTiles && !((BuildTraits<DstBuildT>::is_onindex) && !dstTile->state)) dstTile->value = ++valueCount;
1652 }
1653 }
1654 }
1655 if (mIncludeTiles && mIncludeStats) {// stats are always placed after the tile values
1656 dstData->mMinimum = ++valueCount;
1657 dstData->mMaximum = ++valueCount;
1658 dstData->mAverage = ++valueCount;
1659 dstData->mStdDevi = ++valueCount;
1660 } else if (dstData->padding()==0) {
1661 dstData->mMinimum = 0u;
1662 dstData->mMaximum = 0u;
1663 dstData->mAverage = 0u;
1664 dstData->mStdDevi = 0u;
1665 }
1666} // CreateNanoGrid::processRoot<ValueIndex or ValueOnIndex>
1667
1668//================================================================================================
1669
1670 template <typename SrcGridT>
1671 template <typename DstBuildT>
1672 void CreateNanoGrid<SrcGridT>::processTree()
1673{
1674 const uint64_t nodeCount[3] = {mSrcNodeAcc.nodeCount(0), mSrcNodeAcc.nodeCount(1), mSrcNodeAcc.nodeCount(2)};
1675 auto *dstTree = this->template dstTree<DstBuildT>();
1676 auto *dstData = dstTree->data();
1677 dstData->setRoot( this->template dstRoot<DstBuildT>() );
1678
1679 dstData->setFirstNode(nodeCount[2] ? this->template dstNode<DstBuildT, 2>(0) : nullptr);
1680 dstData->setFirstNode(nodeCount[1] ? this->template dstNode<DstBuildT, 1>(0) : nullptr);
1681 dstData->setFirstNode(nodeCount[0] ? this->template dstNode<DstBuildT, 0>(0) : nullptr);
1682
1683 dstData->mNodeCount[0] = static_cast<uint32_t>(nodeCount[0]);
1684 dstData->mNodeCount[1] = static_cast<uint32_t>(nodeCount[1]);
1685 dstData->mNodeCount[2] = static_cast<uint32_t>(nodeCount[2]);
1686
1687 // Count number of active leaf level tiles
1688 dstData->mTileCount[0] = reduce(Range1D(0,nodeCount[1]), uint32_t(0), [&](Range1D &r, uint32_t sum){
1689 for (auto i=r.begin(); i!=r.end(); ++i) sum += mSrcNodeAcc.template node<1>(i).getValueMask().countOn();
1690 return sum;}, std::plus<uint32_t>());
1691
1692 // Count number of active lower internal node tiles
1693 dstData->mTileCount[1] = reduce(Range1D(0,nodeCount[2]), uint32_t(0), [&](Range1D &r, uint32_t sum){
1694 for (auto i=r.begin(); i!=r.end(); ++i) sum += mSrcNodeAcc.template node<2>(i).getValueMask().countOn();
1695 return sum;}, std::plus<uint32_t>());
1696
1697 // Count number of active upper internal node tiles
1698 dstData->mTileCount[2] = 0;
1699 for (auto it = mSrcNodeAcc.root().cbeginValueOn(); it; ++it) dstData->mTileCount[2] += 1;
1700
1701 // Count number of active voxels
1702 dstData->mVoxelCount = reduce(Range1D(0, nodeCount[0]), uint64_t(0), [&](Range1D &r, uint64_t sum){
1703 for (auto i=r.begin(); i!=r.end(); ++i) sum += mSrcNodeAcc.template node<0>(i).getValueMask().countOn();
1704 return sum;}, std::plus<uint64_t>());
1705
1706 dstData->mVoxelCount += uint64_t(dstData->mTileCount[0]) << 9;// = 3 * 3
1707 dstData->mVoxelCount += uint64_t(dstData->mTileCount[1]) << 21;// = 3 * (3+4)
1708 dstData->mVoxelCount += uint64_t(dstData->mTileCount[2]) << 36;// = 3 * (3+4+5)
1709
1710} // CreateNanoGrid::processTree
1711
1712//================================================================================================
1713
1714 template <typename SrcGridT>
1715 template <typename DstBuildT>
1716 void CreateNanoGrid<SrcGridT>::processGrid()
1717{
1718 auto* dstData = this->template dstGrid<DstBuildT>()->data();
1719 dstData->init({GridFlags::IsBreadthFirst}, mOffset.size, mSrcNodeAcc.map(),
1720 mapToGridType<DstBuildT>(), mapToGridClass<DstBuildT>(mSrcNodeAcc.gridClass()));
1721 dstData->mBlindMetadataCount = static_cast<uint32_t>(mBlindMetaData.size());
1722 dstData->mData1 = this->valueCount();
1723
1724 if (!isValid(dstData->mGridType, dstData->mGridClass)) {
1725#if 1
1726 fprintf(stderr,"Warning: Strange combination of GridType(\"%s\") and GridClass(\"%s\"). Consider changing GridClass to \"Unknown\"\n",
1727 toStr(dstData->mGridType), toStr(dstData->mGridClass));
1728#else
1729 throw std::runtime_error("Invalid combination of GridType("+std::to_string(int(dstData->mGridType))+
1730 ") and GridClass("+std::to_string(int(dstData->mGridClass))+"). See NanoVDB.h for details!");
1731#endif
1732 }
1733
1734 std::memset(dstData->mGridName, '\0', GridData::MaxNameSize);//overwrite mGridName
1735 strncpy(dstData->mGridName, mSrcNodeAcc.getName().c_str(), GridData::MaxNameSize-1);
1736 if (mSrcNodeAcc.hasLongGridName()) dstData->setLongGridNameOn();// grid name is long so store it as blind data
1737
1738 // Partially process blind meta data - they will be complete in postProcess
1739 if (mBlindMetaData.size()>0) {
1740 auto *metaData = this->dstMeta(0);
1741 dstData->mBlindMetadataOffset = PtrDiff(metaData, dstData);
1742 dstData->mBlindMetadataCount = static_cast<uint32_t>(mBlindMetaData.size());
1743 char *blindData = PtrAdd<char>(mBufferPtr, mOffset.blind);
1744 for (const auto &b : mBlindMetaData) {
1745 std::memcpy(metaData, b.metaData, sizeof(GridBlindMetaData));
1746 metaData->setBlindData(blindData);// sets metaData.mOffset
1747 if (metaData->mDataClass == GridBlindDataClass::GridName) strcpy(blindData, mSrcNodeAcc.getName().c_str());
1748 ++metaData;
1749 blindData += b.size;
1750 }
1751 mBlindMetaData.clear();
1752 }
1753} // CreateNanoGrid::processGrid
1754
1755//================================================================================================
1756
1757 template <typename SrcGridT>
1758 template <typename DstBuildT>
1759 inline typename disable_if<BuildTraits<DstBuildT>::is_index>::type
1760CreateNanoGrid<SrcGridT>::postProcess()
1761{
1762 if constexpr(is_same<FpN, DstBuildT>::value) mCodec.reset();
1763 auto *dstGrid = this->template dstGrid<DstBuildT>();
1764 gridStats(*dstGrid, mStats);
1765#if defined(NANOVDB_USE_OPENVDB) && !defined(__CUDACC__)
1766 auto *metaData = this->dstMeta(0);
1767 if constexpr(is_same<openvdb::tools::PointIndexGrid, SrcGridT>::value ||
1768 is_same<openvdb::points::PointDataGrid, SrcGridT>::value) {
1769 static_assert(is_same<DstBuildT, uint32_t>::value, "expected DstBuildT==uint32_t");
1770 auto *dstData0 = this->template dstNode<DstBuildT,0>(0)->data();
1771 dstData0->mMinimum = 0; // start of prefix sum
1772 dstData0->mMaximum = dstData0->mValues[511u];
1773 for (uint32_t i=1, n=mSrcNodeAcc.nodeCount(0); i<n; ++i) {
1774 auto *dstData1 = dstData0 + 1;
1775 dstData1->mMinimum = dstData0->mMinimum + dstData0->mMaximum;
1776 dstData1->mMaximum = dstData1->mValues[511u];
1777 dstData0 = dstData1;
1778 }
1779 for (size_t i = 0, n = dstGrid->blindDataCount(); i < n; ++i, ++metaData) {
1780 if constexpr(is_same<openvdb::tools::PointIndexGrid, SrcGridT>::value) {
1781 if (metaData->mDataClass != GridBlindDataClass::IndexArray) continue;
1782 if (metaData->mDataType == GridType::UInt32) {
1783 uint32_t *blindData = const_cast<uint32_t*>(metaData->template getBlindData<uint32_t>());
1784 forEach(0, mSrcNodeAcc.nodeCount(0), 16, [&](const auto& r) {
1785 auto *dstData = this->template dstNode<DstBuildT,0>(r.begin())->data();
1786 for (auto j = r.begin(); j != r.end(); ++j, ++dstData) {
1787 uint32_t* p = blindData + dstData->mMinimum;
1788 for (uint32_t idx : mSrcNodeAcc.template node<0>(j).indices()) *p++ = idx;
1789 }
1790 });
1791 }
1792 } else {// if constexpr(is_same<openvdb::points::PointDataGrid, SrcGridT>::value)
1793 if (metaData->mDataClass != GridBlindDataClass::AttributeArray) continue;
1794 if (auto *blindData = dstGrid->template getBlindData<float>(i)) {
1795 this->template copyPointAttribute<DstBuildT>(i, blindData);
1796 } else if (auto *blindData = dstGrid->template getBlindData<nanovdb::Vec3f>(i)) {
1797 this->template copyPointAttribute<DstBuildT>(i, reinterpret_cast<openvdb::Vec3f*>(blindData));
1798 } else if (auto *blindData = dstGrid->template getBlindData<int32_t>(i)) {
1799 this->template copyPointAttribute<DstBuildT>(i, blindData);
1800 } else if (auto *blindData = dstGrid->template getBlindData<int64_t>(i)) {
1801 this->template copyPointAttribute<DstBuildT>(i, blindData);
1802 } else {
1803 std::cerr << "unsupported point attribute \"" << toStr(metaData->mDataType) << "\"\n";
1804 }
1805 }// if
1806 }// loop
1807 } else { // if
1808 (void)metaData;
1809 }
1810#endif
1811 updateChecksum(*dstGrid, mChecksum);
1812}// CreateNanoGrid::postProcess<T>
1813
1814//================================================================================================
1815
1816 template <typename SrcGridT>
1817 template <typename DstBuildT>
1818 inline typename enable_if<BuildTraits<DstBuildT>::is_index>::type
1819CreateNanoGrid<SrcGridT>::postProcess(uint32_t channels)
1820{
1821 const std::string typeName = toStr(mapToGridType<SrcValueT>());
1822 const uint64_t valueCount = this->valueCount();
1823 auto *dstGrid = this->template dstGrid<DstBuildT>();
1824 for (uint32_t i=0; i<channels; ++i) {
1825 const std::string name = "channel_"+std::to_string(i);
1826 int j = dstGrid->findBlindData(name.c_str());
1827 if (j<0) throw std::runtime_error("missing " + name);
1828 auto *metaData = this->dstMeta(j);// partially set in processGrid
1829 metaData->mDataClass = GridBlindDataClass::ChannelArray;
1830 metaData->mDataType = mapToGridType<SrcValueT>();
1831 SrcValueT *blindData = const_cast<SrcValueT*>(metaData->template getBlindData<SrcValueT>());
1832 if (i>0) {// concurrent copy from previous channel
1833 nanovdb::forEach(0,valueCount,1024,[&](const nanovdb::Range1D &r){
1834 SrcValueT *dst=blindData+r.begin(), *end=dst+r.size(), *src=dst-valueCount;
1835 while(dst!=end) *dst++ = *src++;
1836 });
1837 } else {
1838 this->template copyValues<DstBuildT>(blindData);
1839 }
1840 }// loop over channels
1841 gridStats(*(this->template dstGrid<DstBuildT>()), std::min(StatsMode::BBox, mStats));
1842 updateChecksum(*dstGrid, mChecksum);
1843}// CreateNanoGrid::postProcess<ValueIndex or ValueOnIndex>
1844
1845//================================================================================================
1846
1847 template <typename SrcGridT>
1848 template <typename DstBuildT>
1849 typename enable_if<BuildTraits<DstBuildT>::is_index>::type
1850 CreateNanoGrid<SrcGridT>::copyValues(SrcValueT *buffer)
1851{// copy values from the source grid into the provided buffer
1852 assert(mBufferPtr && buffer);
1853 using StatsT = typename FloatTraits<SrcValueT>::FloatType;
1854
1855 if (this->valueCount()==0) this->template countValues<DstBuildT>();
1856
1857 auto copyNodeValues = [&](const auto &node, SrcValueT *v) {
1858 if constexpr(BuildTraits<DstBuildT>::is_onindex) {
1859 for (auto it = node.cbeginValueOn(); it; ++it) *v++ = *it;
1860 } else {
1861 for (auto it = node.cbeginValueAll(); it; ++it) *v++ = *it;
1862 }
1863 if (mIncludeStats) {
1864 if constexpr(SrcNodeAccT::IS_NANOVDB) {// resolved at compile time
1865 *v++ = node.minimum();
1866 *v++ = node.maximum();
1867 if constexpr(is_same<SrcValueT, StatsT>::value) {
1868 *v++ = node.average();
1869 *v++ = node.stdDeviation();
1870 } else {// eg when SrcValueT=Vec3f and StatsT=float
1871 *v++ = SrcValueT(node.average());
1872 *v++ = SrcValueT(node.stdDeviation());
1873 }
1874 } else {// openvdb and nanovdb::build::Grid have no stats
1875 *v++ = buffer[0];// background
1876 *v++ = buffer[0];// background
1877 *v++ = buffer[0];// background
1878 *v++ = buffer[0];// background
1879 }
1880 }
1881 };// copyNodeValues
1882
1883 const SrcRootT &root = mSrcNodeAcc.root();
1884 buffer[0] = root.background();// Value array always starts with the background value
1885 if (mIncludeTiles) {
1886 copyNodeValues(root, buffer + 1u);
1887 forEach(0, mSrcNodeAcc.nodeCount(2), 1, [&](const Range1D& r) {
1888 for (auto i = r.begin(); i!=r.end(); ++i) {
1889 copyNodeValues(mSrcNodeAcc.template node<2>(i), buffer + mValIdx[2][i]);
1890 }
1891 });
1892 forEach(0, mSrcNodeAcc.nodeCount(1), 1, [&](const Range1D& r) {
1893 for (auto i = r.begin(); i!=r.end(); ++i) {
1894 copyNodeValues(mSrcNodeAcc.template node<1>(i), buffer + mValIdx[1][i]);
1895 }
1896 });
1897 }
1898 forEach(0, mSrcNodeAcc.nodeCount(0), 4, [&](const Range1D& r) {
1899 for (auto i = r.begin(); i!=r.end(); ++i) {
1900 copyNodeValues(mSrcNodeAcc.template node<0>(i), buffer + mValIdx[0][i]);
1901 }
1902 });
1903}// CreateNanoGrid::copyValues<ValueIndex or ValueOnIndex>
1904
1905
1906//================================================================================================
1907
1908#if defined(NANOVDB_USE_OPENVDB) && !defined(__CUDACC__)
1909
1910 template <typename SrcGridT>
1911 template<typename T>
1912 typename disable_if<is_same<T, openvdb::tools::PointIndexGrid>::value ||
1913 is_same<T, openvdb::points::PointDataGrid>::value, uint64_t>::type
1914CreateNanoGrid<SrcGridT>::countPoints() const
1915{
1916 static_assert(is_same<T, SrcGridT>::value, "expected default template parameter");
1917 return 0u;
1918}// CreateNanoGrid::countPoints<T>
1919
1920 template <typename SrcGridT>
1921 template<typename T>
1922 typename enable_if<is_same<T, openvdb::tools::PointIndexGrid>::value ||
1923 is_same<T, openvdb::points::PointDataGrid>::value, uint64_t>::type
1924CreateNanoGrid<SrcGridT>::countPoints() const
1925{
1926 static_assert(is_same<T, SrcGridT>::value, "expected default template parameter");
1927 return reduce(0, mSrcNodeAcc.nodeCount(0), 8, uint64_t(0), [&](auto &r, uint64_t sum) {
1928 for (auto i=r.begin(); i!=r.end(); ++i) sum += mSrcNodeAcc.template node<0>(i).getLastValue();
1929 return sum;}, std::plus<uint64_t>());
1930}// CreateNanoGrid::countPoints<PointIndexGrid or PointDataGrid>
1931
1932 template <typename SrcGridT>
1933 template<typename DstBuildT, typename AttT, typename CodecT, typename T>
1934 typename enable_if<is_same<openvdb::points::PointDataGrid, T>::value>::type
1935CreateNanoGrid<SrcGridT>::copyPointAttribute(size_t attIdx, AttT *attPtr)
1936{
1937 static_assert(std::is_same<SrcGridT, T>::value, "Expected default parameter");
1938 using HandleT = openvdb::points::AttributeHandle<AttT, CodecT>;
1939 forEach(0, mSrcNodeAcc.nodeCount(0), 16, [&](const auto& r) {
1940 auto *dstData = this->template dstNode<DstBuildT,0>(r.begin())->data();
1941 for (auto i = r.begin(); i != r.end(); ++i, ++dstData) {
1942 auto& srcLeaf = mSrcNodeAcc.template node<0>(i);
1943 HandleT handle(srcLeaf.constAttributeArray(attIdx));
1944 AttT *p = attPtr + dstData->mMinimum;
1945 for (auto iter = srcLeaf.beginIndexOn(); iter; ++iter) *p++ = handle.get(*iter);
1946 }
1947 });
1948}// CreateNanoGrid::copyPointAttribute
1949
1950#endif
1951
1952//================================================================================================
1953
1954 template<typename SrcGridT, typename DstBuildT, typename BufferT>
1955 typename disable_if<BuildTraits<DstBuildT>::is_index || BuildTraits<DstBuildT>::is_Fp, GridHandle<BufferT>>::type
1956 createNanoGrid(const SrcGridT &srcGrid,
1957 StatsMode sMode,
1958 ChecksumMode cMode,
1959 int verbose,
1960 const BufferT &buffer)
1961{
1962 CreateNanoGrid<SrcGridT> converter(srcGrid);
1963 converter.setStats(sMode);
1964 converter.setChecksum(cMode);
1965 converter.setVerbose(verbose);
1966 return converter.template getHandle<DstBuildT, BufferT>(buffer);
1967}// createNanoGrid<T>
1968
1969//================================================================================================
1970
1971 template<typename SrcGridT, typename DstBuildT, typename BufferT>
1972 typename enable_if<BuildTraits<DstBuildT>::is_index, GridHandle<BufferT>>::type
1973 createNanoGrid(const SrcGridT &srcGrid,
1974 uint32_t channels,
1975 bool includeStats,
1976 bool includeTiles,
1977 int verbose,
1978 const BufferT &buffer)
1979{
1980 CreateNanoGrid<SrcGridT> converter(srcGrid);
1981 converter.setVerbose(verbose);
1982 return converter.template getHandle<DstBuildT, BufferT>(channels, includeStats, includeTiles, buffer);
1983}
1984
1985//================================================================================================
1986
1987 template<typename SrcGridT, typename DstBuildT, typename OracleT, typename BufferT>
1988 typename enable_if<is_same<FpN, DstBuildT>::value, GridHandle<BufferT>>::type
1989 createNanoGrid(const SrcGridT &srcGrid,
1990 StatsMode sMode,
1991 ChecksumMode cMode,
1992 bool ditherOn,
1993 int verbose,
1994 const OracleT &oracle,
1995 const BufferT &buffer)
1996{
1997 CreateNanoGrid<SrcGridT> converter(srcGrid);
1998 converter.setStats(sMode);
1999 converter.setChecksum(cMode);
2000 converter.enableDithering(ditherOn);
2001 converter.setVerbose(verbose);
2002 return converter.template getHandle<DstBuildT, OracleT, BufferT>(oracle, buffer);
2003}// createNanoGrid<FpN>
2004
2005//================================================================================================
2006
2007 template<typename SrcGridT, typename DstBuildT, typename BufferT>
2008 typename enable_if<BuildTraits<DstBuildT>::is_FpX, GridHandle<BufferT>>::type
2009 createNanoGrid(const SrcGridT &srcGrid,
2010 StatsMode sMode,
2011 ChecksumMode cMode,
2012 bool ditherOn,
2013 int verbose,
2014 const BufferT &buffer)
2015{
2016 CreateNanoGrid<SrcGridT> converter(srcGrid);
2017 converter.setStats(sMode);
2018 converter.setChecksum(cMode);
2019 converter.enableDithering(ditherOn);
2020 converter.setVerbose(verbose);
2021 return converter.template getHandle<DstBuildT, BufferT>(buffer);
2022}// createNanoGrid<Fp4,8,16>
2023
2024//================================================================================================
2025
2026#if defined(NANOVDB_USE_OPENVDB) && !defined(__CUDACC__)
2027 template<typename BufferT>
2028GridHandle<BufferT>
2029openToNanoVDB(const openvdb::GridBase::Ptr& base,
2030 StatsMode sMode,
2031 ChecksumMode cMode,
2032 int verbose)
2033{
2034 // We need to define these types because they are not defined in OpenVDB
2035 using openvdb_Vec4fTree = typename openvdb::tree::Tree4<openvdb::Vec4f, 5, 4, 3>::Type;
2036 using openvdb_Vec4dTree = typename openvdb::tree::Tree4<openvdb::Vec4d, 5, 4, 3>::Type;
2037 using openvdb_Vec4fGrid = openvdb::Grid<openvdb_Vec4fTree>;
2038 using openvdb_Vec4dGrid = openvdb::Grid<openvdb_Vec4dTree>;
2039 using openvdb_UInt32Grid = openvdb::Grid<openvdb::UInt32Tree>;
2040
2041 if (auto grid = openvdb::GridBase::grid<openvdb::FloatGrid>(base)) {
2042 return createNanoGrid<openvdb::FloatGrid, float, BufferT>(*grid, sMode, cMode, verbose);
2043 } else if (auto grid = openvdb::GridBase::grid<openvdb::DoubleGrid>(base)) {
2044 return createNanoGrid<openvdb::DoubleGrid, double, BufferT>(*grid, sMode, cMode, verbose);
2045 } else if (auto grid = openvdb::GridBase::grid<openvdb::Int32Grid>(base)) {
2046 return createNanoGrid<openvdb::Int32Grid, int32_t,BufferT>(*grid, sMode, cMode, verbose);
2047 } else if (auto grid = openvdb::GridBase::grid<openvdb::Int64Grid>(base)) {
2048 return createNanoGrid<openvdb::Int64Grid, int64_t, BufferT>(*grid, sMode, cMode, verbose);
2049 } else if (auto grid = openvdb::GridBase::grid<openvdb_UInt32Grid>(base)) {
2050 return createNanoGrid<openvdb_UInt32Grid, uint32_t, BufferT>(*grid, sMode, cMode, verbose);
2051 } else if (auto grid = openvdb::GridBase::grid<openvdb::Vec3fGrid>(base)) {
2052 return createNanoGrid<openvdb::Vec3fGrid, nanovdb::Vec3f, BufferT>(*grid, sMode, cMode, verbose);
2053 } else if (auto grid = openvdb::GridBase::grid<openvdb::Vec3dGrid>(base)) {
2054 return createNanoGrid<openvdb::Vec3dGrid, nanovdb::Vec3d, BufferT>(*grid, sMode, cMode, verbose);
2055 } else if (auto grid = openvdb::GridBase::grid<openvdb::tools::PointIndexGrid>(base)) {
2056 return createNanoGrid<openvdb::tools::PointIndexGrid, uint32_t, BufferT>(*grid, sMode, cMode, verbose);
2057 } else if (auto grid = openvdb::GridBase::grid<openvdb::points::PointDataGrid>(base)) {
2058 return createNanoGrid<openvdb::points::PointDataGrid, uint32_t, BufferT>(*grid, sMode, cMode, verbose);
2059 } else if (auto grid = openvdb::GridBase::grid<openvdb::MaskGrid>(base)) {
2060 return createNanoGrid<openvdb::MaskGrid, nanovdb::ValueMask, BufferT>(*grid, sMode, cMode, verbose);
2061 } else if (auto grid = openvdb::GridBase::grid<openvdb::BoolGrid>(base)) {
2062 return createNanoGrid<openvdb::BoolGrid, bool, BufferT>(*grid, sMode, cMode, verbose);
2063 } else if (auto grid = openvdb::GridBase::grid<openvdb_Vec4fGrid>(base)) {
2064 return createNanoGrid<openvdb_Vec4fGrid, nanovdb::Vec4f, BufferT>(*grid, sMode, cMode, verbose);
2065 } else if (auto grid = openvdb::GridBase::grid<openvdb_Vec4dGrid>(base)) {
2066 return createNanoGrid<openvdb_Vec4dGrid, nanovdb::Vec4d, BufferT>(*grid, sMode, cMode, verbose);
2067 } else {
2068 OPENVDB_THROW(openvdb::RuntimeError, "Unrecognized OpenVDB grid type");
2069 }
2070}// openToNanoVDB
2071#endif
2072
2073} // namespace nanovdb
2074
2075#endif // NANOVDB_CREATE_NANOGRID_H_HAS_BEEN_INCLUDED
DitherLUT.h
Defines look up table to do dithering of 8^3 leaf nodes.
ForEach.h
A unified wrapper for tbb::parallel_for and a naive std::thread fallback.
GridBuilder.h
This file defines a minimum set of tree nodes and tools that can be used (instead of OpenVDB) to buil...
GridChecksum.h
Computes a pair of 32bit checksums, of a Grid, by means of Cyclic Redundancy Check (CRC)
GridHandle.h
Defines GridHandle, which manages a host, and possibly a device, memory buffer containing one or more...
GridStats.h
Re-computes min/max/avg/var/bbox information for each node in a pre-existing NanoVDB grid.
Invoke.h
A unified wrapper for tbb::parallel_invoke and a naive std::thread analog.
NANOVDB_DATA_ALIGNMENT
#define NANOVDB_DATA_ALIGNMENT
Definition NanoVDB.h:154
NANOVDB_ASSERT
#define NANOVDB_ASSERT(x)
Definition NanoVDB.h:190
PointDataGrid.h
Attribute-owned data structure for points. Point attributes are stored in leaf nodes and ordered by v...
PointIndexGrid.h
Space-partitioning acceleration structure for points. Partitions the points into voxels to accelerate...
PrefixSum.h
Multi-threaded implementations of inclusive prefix sum.
Range.h
Custom Range class that is compatible with the tbb::blocked_range classes.
Reduce.h
A unified wrapper for tbb::parallel_reduce and a naive std::future analog.
nanovdb::AbsDiff
Compression oracle based on absolute difference.
Definition CreateNanoGrid.h:231
nanovdb::AbsDiff::~AbsDiff
~AbsDiff()=default
nanovdb::AbsDiff::operator()
bool operator()(float exact, float approx) const
Return true if the approximate value is within the accepted absolute error bounds of the exact value.
Definition CreateNanoGrid.h:255
nanovdb::AbsDiff::getTolerance
float getTolerance() const
Definition CreateNanoGrid.h:250
nanovdb::AbsDiff::AbsDiff
AbsDiff(float tolerance=-1.0f)
Definition CreateNanoGrid.h:235
nanovdb::AbsDiff::init
void init(nanovdb::GridClass gClass, float background)
Definition CreateNanoGrid.h:239
nanovdb::AbsDiff::AbsDiff
AbsDiff(const AbsDiff &)=default
nanovdb::AbsDiff::setTolerance
void setTolerance(float tolerance)
Definition CreateNanoGrid.h:249
nanovdb::CreateNanoGrid
Creates any nanovdb Grid from any source grid (certain combinations are obviously not allowed)
Definition CreateNanoGrid.h:524
nanovdb::CreateNanoGrid::addBlindData
uint64_t addBlindData(const std::string &name, GridBlindDataSemantic dataSemantic, GridBlindDataClass dataClass, GridType dataType, size_t count, size_t size)
Add blind data to the destination grid.
Definition CreateNanoGrid.h:607
nanovdb::CreateNanoGrid::SrcBuildT
typename SrcNodeAccT::BuildType SrcBuildT
Definition CreateNanoGrid.h:528
nanovdb::CreateNanoGrid::setStats
void setStats(StatsMode mode=StatsMode::Default)
Set the mode used for computing statistics of the destination grid.
Definition CreateNanoGrid.h:554
nanovdb::CreateNanoGrid::SrcTreeT
typename SrcNodeAccT::TreeType SrcTreeT
Definition CreateNanoGrid.h:530
nanovdb::CreateNanoGrid::setChecksum
void setChecksum(ChecksumMode mode=ChecksumMode::Default)
Set the mode used for computing checksums of the destination grid.
Definition CreateNanoGrid.h:558
nanovdb::CreateNanoGrid::copyValues
enable_if< BuildTraits< DstBuildT >::is_index >::type copyValues(SrcValueT *buffer)
Copy values from the source grid into a provided buffer.
Definition CreateNanoGrid.h:1850
nanovdb::CreateNanoGrid::SrcRootT
typename SrcNodeAccT::RootType SrcRootT
Definition CreateNanoGrid.h:531
nanovdb::CreateNanoGrid::enableDithering
void enableDithering(bool on=true)
Enable or disable dithering, i.e. randomization of the quantization error.
Definition CreateNanoGrid.h:550
nanovdb::CreateNanoGrid::getHandle
disable_if< is_same< DstBuildT, FpN >::value||BuildTraits< DstBuildT >::is_index, GridHandle< BufferT > >::type getHandle(const BufferT &buffer=BufferT())
Converts the source grid into a nanovdb grid with the specified destination build type.
Definition CreateNanoGrid.h:896
nanovdb::CreateNanoGrid::SrcNodeT
typename NodeTrait< SrcRootT, LEVEL >::type SrcNodeT
Definition CreateNanoGrid.h:533
nanovdb::CreateNanoGrid::setVerbose
void setVerbose(int mode=1)
Set the level of verbosity.
Definition CreateNanoGrid.h:545
nanovdb::CreateNanoGrid::CreateNanoGrid
CreateNanoGrid(const SrcGridT &srcGrid)
Constructor from a source grid.
Definition CreateNanoGrid.h:783
nanovdb::CreateNanoGrid::SrcNodeAccT
NodeAccessor< SrcGridT > SrcNodeAccT
Definition CreateNanoGrid.h:527
nanovdb::CreateNanoGrid::valueCount
uint64_t valueCount() const
This method only has affect when getHandle was called with DstBuildT = ValueIndex or ValueOnIndex.
Definition CreateNanoGrid.h:621
nanovdb::CreateNanoGrid::SrcValueT
typename SrcNodeAccT::ValueType SrcValueT
Definition CreateNanoGrid.h:529
nanovdb::GridHandle
This class serves to manage a buffer containing one or more NanoVDB Grids.
Definition GridHandle.h:38
nanovdb::Grid
Highest level of the data structure. Contains a tree and a world->index transform (that currently onl...
Definition NanoVDB.h:3699
nanovdb::Grid::ValueType
typename TreeT::ValueType ValueType
Definition NanoVDB.h:3708
nanovdb::Grid::TreeType
TreeT TreeType
Definition NanoVDB.h:3701
nanovdb::HostBuffer
This is a buffer that contains a shared or private pool to either externally or internally managed ho...
Definition HostBuffer.h:115
nanovdb::InternalNode::memUsage
static size_t memUsage()
Return memory usage in bytes for the class.
Definition NanoVDB.h:5169
nanovdb::LeafNode::DataType
LeafData< BuildT, CoordT, MaskT, Log2Dim > DataType
Definition NanoVDB.h:6036
nanovdb::LeafNode::memUsage
uint64_t memUsage() const
return memory usage in bytes for the leaf node
Definition NanoVDB.h:6242
nanovdb::NodeAccessor< NanoGrid< BuildT > >::tree
const TreeType & tree() const
Definition CreateNanoGrid.h:352
nanovdb::NodeAccessor< NanoGrid< BuildT > >::nodeCount
uint64_t nodeCount(int level) const
Definition CreateNanoGrid.h:354
nanovdb::NodeAccessor< NanoGrid< BuildT > >::node
const NodeType< LEVEL > & node(uint32_t i) const
Definition CreateNanoGrid.h:356
nanovdb::NodeAccessor< NanoGrid< BuildT > >::NodeAccessor
NodeAccessor(const GridType &grid)
Definition CreateNanoGrid.h:348
nanovdb::NodeAccessor< NanoGrid< BuildT > >::NodeType
typename NodeTrait< TreeType, LEVEL >::type NodeType
Definition CreateNanoGrid.h:347
nanovdb::NodeAccessor< NanoGrid< BuildT > >::ValueType
typename GridType::ValueType ValueType
Definition CreateNanoGrid.h:343
nanovdb::NodeAccessor< NanoGrid< BuildT > >::TreeType
typename GridType::TreeType TreeType
Definition CreateNanoGrid.h:344
nanovdb::NodeAccessor< NanoGrid< BuildT > >::getName
std::string getName() const
Definition CreateNanoGrid.h:357
nanovdb::NodeAccessor< NanoGrid< BuildT > >::RootType
typename TreeType::RootType RootType
Definition CreateNanoGrid.h:345
nanovdb::NodeAccessor< NanoGrid< BuildT > >::root
const RootType & root() const
Definition CreateNanoGrid.h:353
nanovdb::NodeAccessor< NanoGrid< BuildT > >::hasLongGridName
bool hasLongGridName() const
Definition CreateNanoGrid.h:358
nanovdb::NodeAccessor< NanoGrid< BuildT > >::grid
const GridType & grid() const
Definition CreateNanoGrid.h:351
nanovdb::NodeAccessor< NanoGrid< BuildT > >::gridClass
GridClass gridClass() const
Definition CreateNanoGrid.h:360
nanovdb::NodeAccessor< NanoGrid< BuildT > >::BuildType
BuildT BuildType
Definition CreateNanoGrid.h:340
nanovdb::NodeAccessor< NanoGrid< BuildT > >::map
const nanovdb::Map & map() const
Definition CreateNanoGrid.h:359
nanovdb::NodeAccessor
The NodeAccessor provides a uniform API for accessing nodes got NanoVDB, OpenVDB and build Grids.
Definition CreateNanoGrid.h:304
nanovdb::NodeAccessor::tree
const TreeType & tree() const
Definition CreateNanoGrid.h:317
nanovdb::NodeAccessor::IS_NANOVDB
static constexpr bool IS_NANOVDB
Definition CreateNanoGrid.h:307
nanovdb::NodeAccessor::nodeCount
uint64_t nodeCount(int level) const
Definition CreateNanoGrid.h:319
nanovdb::NodeAccessor::node
const NodeType< LEVEL > & node(uint32_t i) const
Definition CreateNanoGrid.h:321
nanovdb::NodeAccessor::getName
const std::string & getName() const
Definition CreateNanoGrid.h:322
nanovdb::NodeAccessor::IS_OPENVDB
static constexpr bool IS_OPENVDB
Definition CreateNanoGrid.h:306
nanovdb::NodeAccessor::RootType
typename TreeType::RootNodeType RootType
Definition CreateNanoGrid.h:312
nanovdb::NodeAccessor::BuildType
typename GridT::BuildType BuildType
Definition CreateNanoGrid.h:308
nanovdb::NodeAccessor::NodeType
typename NodeTrait< const TreeType, LEVEL >::type NodeType
Definition CreateNanoGrid.h:314
nanovdb::NodeAccessor::root
const RootType & root() const
Definition CreateNanoGrid.h:318
nanovdb::NodeAccessor::TreeType
typename GridT::TreeType TreeType
Definition CreateNanoGrid.h:311
nanovdb::NodeAccessor::ValueType
typename GridT::ValueType ValueType
Definition CreateNanoGrid.h:309
nanovdb::NodeAccessor::hasLongGridName
bool hasLongGridName() const
Definition CreateNanoGrid.h:323
nanovdb::NodeAccessor::grid
const GridType & grid() const
Definition CreateNanoGrid.h:316
nanovdb::NodeAccessor::NodeAccessor
NodeAccessor(const GridT &grid)
Definition CreateNanoGrid.h:315
nanovdb::NodeAccessor::gridClass
GridClass gridClass() const
Definition CreateNanoGrid.h:325
nanovdb::NodeAccessor::GridType
GridT GridType
Definition CreateNanoGrid.h:310
nanovdb::NodeAccessor::map
const nanovdb::Map & map() const
Definition CreateNanoGrid.h:324
nanovdb::NodeManagerHandle
NodeManagerHandle manages the memory of a NodeManager.
Definition NodeManager.h:55
nanovdb::NodeManager
NodeManager allows for sequential access to nodes.
Definition NodeManager.h:180
nanovdb::Range
Definition Range.h:28
nanovdb::RelDiff
Compression oracle based on relative difference.
Definition CreateNanoGrid.h:271
nanovdb::RelDiff::RelDiff
RelDiff(float tolerance=-1.0f)
Definition CreateNanoGrid.h:275
nanovdb::RelDiff::operator()
bool operator()(float exact, float approx) const
Return true if the approximate value is within the accepted relative error bounds of the exact value.
Definition CreateNanoGrid.h:285
nanovdb::RelDiff::RelDiff
RelDiff(const RelDiff &)=default
nanovdb::RelDiff::getTolerance
float getTolerance() const
Definition CreateNanoGrid.h:280
nanovdb::RelDiff::~RelDiff
~RelDiff()=default
nanovdb::RelDiff::setTolerance
void setTolerance(float tolerance)
Definition CreateNanoGrid.h:279
nanovdb::RootNode
Top-most node of the VDB tree structure.
Definition NanoVDB.h:4330
nanovdb::RootNode::memUsage
uint64_t memUsage() const
Return the actual memory footprint of this root node.
Definition NanoVDB.h:4625
nanovdb::Tree::memUsage
static uint64_t memUsage()
return memory usage in bytes for the class
Definition NanoVDB.h:4024
nanovdb::ValueMask
Dummy type for a voxel whose value equals its binary active state.
Definition NanoVDB.h:273
nanovdb::Vec3
A simple vector class with three components, similar to openvdb::math::Vec3.
Definition NanoVDB.h:1530
nanovdb::Vec4
A simple vector class with four components, similar to openvdb::math::Vec4.
Definition NanoVDB.h:1728
nanovdb::build::NodeManager
Definition GridBuilder.h:2055
openvdb::v11_0::Grid
Container class that associates a tree with a transform and metadata.
Definition Grid.h:571
openvdb::v11_0::RuntimeError
Definition Exceptions.h:63
openvdb::v11_0::ValueError
Definition Exceptions.h:65
openvdb::v11_0::math::Vec3
Definition Vec3.h:24
nanovdb::io::Codec
Codec
Define compression codecs.
Definition NanoVDB.h:7839
nanovdb
Convert a base-pointer to an openvdb grid, denoted srcGrid, to a nanovdb grid of the same type,...
Definition NanoVDB.h:247
nanovdb::AlignUp
uint64_t AlignUp(uint64_t byteCount)
round up byteSize to the nearest wordSize, e.g. to align to machine word: AlignUp<sizeof(size_t)(n)
Definition NanoVDB.h:1288
nanovdb::toStr
const char * toStr(GridType gridType)
Maps a GridType to a c-string.
Definition NanoVDB.h:349
nanovdb::Abs
T Abs(T x)
Definition NanoVDB.h:1185
nanovdb::createNanoGrid
disable_if< BuildTraits< DstBuildT >::is_index||BuildTraits< DstBuildT >::is_Fp, GridHandle< BufferT > >::type createNanoGrid(const SrcGridT &srcGrid, StatsMode sMode=StatsMode::Default, ChecksumMode cMode=ChecksumMode::Default, int verbose=0, const BufferT &buffer=BufferT())
Freestanding function that creates a NanoGrid<T> from any source grid.
Definition CreateNanoGrid.h:1956
nanovdb::reduce
T reduce(RangeT range, const T &identity, const FuncT &func, const JoinT &join)
Definition Reduce.h:42
nanovdb::GridClass
GridClass
Classes (superset of OpenVDB) that are currently supported by NanoVDB.
Definition NanoVDB.h:362
nanovdb::GridClass::FogVolume
@ FogVolume
nanovdb::GridClass::Unknown
@ Unknown
nanovdb::GridClass::PointIndex
@ PointIndex
nanovdb::GridClass::PointData
@ PointData
nanovdb::GridClass::Staggered
@ Staggered
nanovdb::GridClass::LevelSet
@ LevelSet
nanovdb::GridType
GridType
List of types that are currently supported by NanoVDB.
Definition NanoVDB.h:317
nanovdb::GridType::Float
@ Float
nanovdb::GridType::Unknown
@ Unknown
nanovdb::GridType::Int32
@ Int32
nanovdb::GridType::UInt32
@ UInt32
nanovdb::GridType::Vec3f
@ Vec3f
nanovdb::GridType::Int64
@ Int64
nanovdb::GridBlindDataClass
GridBlindDataClass
Blind-data Classes that are currently supported by NanoVDB.
Definition NanoVDB.h:416
nanovdb::GridBlindDataClass::IndexArray
@ IndexArray
nanovdb::GridBlindDataClass::AttributeArray
@ AttributeArray
nanovdb::GridBlindDataClass::GridName
@ GridName
nanovdb::CoordBBox
BBox< Coord > CoordBBox
Definition NanoVDB.h:2535
nanovdb::StatsMode
StatsMode
Grid flags which indicate what extra information is present in the grid buffer.
Definition GridStats.h:38
nanovdb::StatsMode::Default
@ Default
nanovdb::invoke
int invoke(const Func &taskFunc1, Rest... taskFuncN)
Definition Invoke.h:64
nanovdb::operator<<
std::ostream & operator<<(std::ostream &os, const AbsDiff &diff)
Definition CreateNanoGrid.h:261
nanovdb::gridStats
void gridStats(NanoGrid< BuildT > &grid, StatsMode mode=StatsMode::Default)
Re-computes the min/max, stats and bbox information for an existing NanoVDB Grid.
Definition GridStats.h:722
nanovdb::ChecksumMode
ChecksumMode
List of different modes for computing for a checksum.
Definition GridChecksum.h:38
nanovdb::ChecksumMode::Default
@ Default
nanovdb::prefixSum
T prefixSum(std::vector< T > &vec, bool threaded=true, OpT op=OpT())
Computes inclusive prefix sum of a vector.
Definition PrefixSum.h:71
nanovdb::GridBlindDataSemantic
GridBlindDataSemantic
Blind-data Semantics that are currently understood by NanoVDB.
Definition NanoVDB.h:424
nanovdb::GridBlindDataSemantic::PointPosition
@ PointPosition
nanovdb::GridBlindDataSemantic::PointColor
@ PointColor
nanovdb::GridBlindDataSemantic::PointVelocity
@ PointVelocity
nanovdb::GridBlindDataSemantic::Unknown
@ Unknown
nanovdb::GridBlindDataSemantic::PointNormal
@ PointNormal
nanovdb::GridBlindDataSemantic::PointId
@ PointId
nanovdb::Max
Type Max(Type a, Type b)
Definition NanoVDB.h:1110
nanovdb::updateChecksum
void updateChecksum(NanoGrid< BuildT > &grid, ChecksumMode mode=ChecksumMode::Default)
Updates the checksum of a grid.
nanovdb::isValid
bool isValid(GridType gridType, GridClass gridClass)
return true if the combination of GridType and GridClass is valid.
Definition NanoVDB.h:883
nanovdb::forEach
void forEach(RangeT range, const FuncT &func)
simple wrapper for tbb::parallel_for with a naive std fallback
Definition ForEach.h:40
nanovdb::createNodeManager
NodeManagerHandle< BufferT > createNodeManager(const NanoGrid< BuildT > &grid, const BufferT &buffer=BufferT())
brief Construct a NodeManager and return its handle
Definition NodeManager.h:284
nanovdb::Range1D
Range< 1, size_t > Range1D
Definition Range.h:30
openvdb::v11_0::io::getGridClass
OPENVDB_API uint32_t getGridClass(std::ios_base &)
Return the class (GRID_LEVEL_SET, GRID_UNKNOWN, etc.) of the grid currently being read from or writte...
openvdb::v11_0::points::pointCount
Index64 pointCount(const PointDataTreeT &tree, const FilterT &filter=NullFilter(), const bool inCoreOnly=false, const bool threaded=true)
Count the total number of points in a PointDataTree.
Definition PointCountImpl.h:18
openvdb::v11_0::tools::composite::max
const std::enable_if<!VecTraits< T >::IsVec, T >::type & max(const T &a, const T &b)
Definition Composite.h:110
openvdb::v11_0::tools::composite::min
const std::enable_if<!VecTraits< T >::IsVec, T >::type & min(const T &a, const T &b)
Definition Composite.h:106
openvdb::v11_0::GRID_FOG_VOLUME
@ GRID_FOG_VOLUME
Definition Types.h:456
openvdb::v11_0::GRID_STAGGERED
@ GRID_STAGGERED
Definition Types.h:457
openvdb::v11_0::GRID_LEVEL_SET
@ GRID_LEVEL_SET
Definition Types.h:455
openvdb::v11_0::PointIndex32
PointIndex< Index32, 0 > PointIndex32
Definition Types.h:178
openvdb::v11_0::PointDataIndex32
PointIndex< Index32, 1 > PointDataIndex32
Definition Types.h:181
openvdb
Definition Exceptions.h:13
OPENVDB_THROW
#define OPENVDB_THROW(exception, message)
Definition Exceptions.h:74
NodeManager.h
NodeManager produces linear arrays of all tree nodes allowing for efficient threading and bottom-up p...
openvdb.h
nanovdb::BuildTraits
Define static boolean tests for template build types.
Definition NanoVDB.h:472
nanovdb::BuildTraits::is_onindex
static constexpr bool is_onindex
Definition NanoVDB.h:475
nanovdb::BuildTraits::is_index
static constexpr bool is_index
Definition NanoVDB.h:474
nanovdb::BuildTraits::is_Fp
static constexpr bool is_Fp
Definition NanoVDB.h:481
nanovdb::CreateNanoGrid::BlindMetaData
Definition CreateNanoGrid.h:814
nanovdb::CreateNanoGrid::BlindMetaData::order
const size_t order
Definition CreateNanoGrid.h:887
nanovdb::CreateNanoGrid::BlindMetaData::mapToSemantics
static GridBlindDataSemantic mapToSemantics(const std::string &name)
Definition CreateNanoGrid.h:870
nanovdb::CreateNanoGrid::BlindMetaData::operator<
bool operator<(const BlindMetaData &other) const
Definition CreateNanoGrid.h:853
nanovdb::CreateNanoGrid::BlindMetaData::BlindMetaData
BlindMetaData(const std::string &name, GridBlindDataSemantic dataSemantic, GridBlindDataClass dataClass, GridType dataType, size_t i, size_t valueCount, size_t valueSize)
Definition CreateNanoGrid.h:833
nanovdb::CreateNanoGrid::BlindMetaData::~BlindMetaData
~BlindMetaData()
Definition CreateNanoGrid.h:852
nanovdb::CreateNanoGrid::BlindMetaData::metaData
GridBlindMetaData * metaData
Definition CreateNanoGrid.h:886
nanovdb::CreateNanoGrid::BlindMetaData::BlindMetaData
BlindMetaData(const std::string &name, const std::string &type, GridBlindDataClass dataClass, size_t i, size_t valueCount, size_t valueSize)
Definition CreateNanoGrid.h:815
nanovdb::CreateNanoGrid::BlindMetaData::mapToType
static GridType mapToType(const std::string &name)
Definition CreateNanoGrid.h:854
nanovdb::FloatTraits::FloatType
float FloatType
Definition NanoVDB.h:1995
nanovdb::GridBlindMetaData
Definition NanoVDB.h:3331
nanovdb::GridData::memUsage
static uint64_t memUsage()
Return memory usage in bytes for this class only.
Definition NanoVDB.h:3661
nanovdb::GridData::MaxNameSize
static const int MaxNameSize
Definition NanoVDB.h:3513
nanovdb::MapToNano
Trait that maps any type to the corresponding nanovdb type.
Definition CreateNanoGrid.h:371
nanovdb::MapToNano::type
T type
Definition CreateNanoGrid.h:371
nanovdb::Map
Defines an affine transform and its inverse represented as a 3x3 matrix and a vec3 translation.
Definition NanoVDB.h:3158
nanovdb::NodeTrait
Struct to derive node type from its level in a given grid, tree or root while preserving constness.
Definition NanoVDB.h:3404
nanovdb::disable_if
Definition NanoVDB.h:506
nanovdb::enable_if
C++11 implementation of std::enable_if.
Definition NanoVDB.h:493
nanovdb::is_floating_point::value
static constexpr bool value
Definition NanoVDB.h:464
nanovdb::is_same
C++11 implementation of std::is_same.
Definition NanoVDB.h:442
nanovdb::is_same::value
static constexpr bool value
Definition NanoVDB.h:443