Fix missing NanoVDB patch for HIP support, after unifying with OpenVDB

This patch has also been contributed upstream, so will not be needed anymore
soon. Also automatically clear cached variables for new nanovdb location in
libs.
This commit is contained in:
Brecht Van Lommel 2022-04-29 14:36:48 +02:00
parent a1b21a3503
commit a111a0f1e1
3 changed files with 326 additions and 374 deletions

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@ -1,374 +0,0 @@
Index: nanovdb/nanovdb/NanoVDB.h
===================================================================
--- a/nanovdb/nanovdb/NanoVDB.h (revision 62751)
+++ b/nanovdb/nanovdb/NanoVDB.h (working copy)
@@ -152,8 +152,8 @@
#endif // __CUDACC_RTC__
-#ifdef __CUDACC__
-// Only define __hostdev__ when using NVIDIA CUDA compiler
+#if defined(__CUDACC__) || defined(__HIP__)
+// Only define __hostdev__ when using NVIDIA CUDA or HIP compiler
#define __hostdev__ __host__ __device__
#else
#define __hostdev__
@@ -461,7 +461,7 @@
/// Maximum floating-point values
template<typename T>
struct Maximum;
-#ifdef __CUDA_ARCH__
+#if defined(__CUDA_ARCH__) || defined(__HIP__)
template<>
struct Maximum<int>
{
@@ -1006,10 +1006,10 @@
using Vec3i = Vec3<int>;
/// @brief Return a single precision floating-point vector of this coordinate
-Vec3f Coord::asVec3s() const { return Vec3f(float(mVec[0]), float(mVec[1]), float(mVec[2])); }
+inline __hostdev__ Vec3f Coord::asVec3s() const { return Vec3f(float(mVec[0]), float(mVec[1]), float(mVec[2])); }
/// @brief Return a double precision floating-point vector of this coordinate
-Vec3d Coord::asVec3d() const { return Vec3d(double(mVec[0]), double(mVec[1]), double(mVec[2])); }
+inline __hostdev__ Vec3d Coord::asVec3d() const { return Vec3d(double(mVec[0]), double(mVec[1]), double(mVec[2])); }
// ----------------------------> Vec4 <--------------------------------------
@@ -1820,7 +1820,7 @@
}; // Map
template<typename Mat4T>
-void Map::set(const Mat4T& mat, const Mat4T& invMat, double taper)
+__hostdev__ void Map::set(const Mat4T& mat, const Mat4T& invMat, double taper)
{
float * mf = mMatF, *vf = mVecF;
float* mif = mInvMatF;
@@ -2170,7 +2170,7 @@
}; // Class Grid
template<typename TreeT>
-int Grid<TreeT>::findBlindDataForSemantic(GridBlindDataSemantic semantic) const
+__hostdev__ int Grid<TreeT>::findBlindDataForSemantic(GridBlindDataSemantic semantic) const
{
for (uint32_t i = 0, n = blindDataCount(); i < n; ++i)
if (blindMetaData(i).mSemantic == semantic)
@@ -2328,7 +2328,7 @@
}; // Tree class
template<typename RootT>
-void Tree<RootT>::extrema(ValueType& min, ValueType& max) const
+__hostdev__ void Tree<RootT>::extrema(ValueType& min, ValueType& max) const
{
min = this->root().valueMin();
max = this->root().valueMax();
@@ -2336,7 +2336,7 @@
template<typename RootT>
template<typename NodeT>
-const NodeT* Tree<RootT>::getNode(uint32_t i) const
+__hostdev__ const NodeT* Tree<RootT>::getNode(uint32_t i) const
{
static_assert(is_same<TreeNodeT<NodeT::LEVEL>, NodeT>::value, "Tree::getNode: unvalid node type");
NANOVDB_ASSERT(i < DataType::mCount[NodeT::LEVEL]);
@@ -2345,7 +2345,7 @@
template<typename RootT>
template<int LEVEL>
-const typename TreeNode<Tree<RootT>, LEVEL>::type* Tree<RootT>::getNode(uint32_t i) const
+__hostdev__ const typename TreeNode<Tree<RootT>, LEVEL>::type* Tree<RootT>::getNode(uint32_t i) const
{
NANOVDB_ASSERT(i < DataType::mCount[LEVEL]);
return reinterpret_cast<const TreeNodeT<LEVEL>*>(reinterpret_cast<const uint8_t*>(this) + DataType::mBytes[LEVEL]) + i;
@@ -2353,7 +2353,7 @@
template<typename RootT>
template<typename NodeT>
-NodeT* Tree<RootT>::getNode(uint32_t i)
+__hostdev__ NodeT* Tree<RootT>::getNode(uint32_t i)
{
static_assert(is_same<TreeNodeT<NodeT::LEVEL>, NodeT>::value, "Tree::getNode: invalid node type");
NANOVDB_ASSERT(i < DataType::mCount[NodeT::LEVEL]);
@@ -2362,7 +2362,7 @@
template<typename RootT>
template<int LEVEL>
-typename TreeNode<Tree<RootT>, LEVEL>::type* Tree<RootT>::getNode(uint32_t i)
+__hostdev__ typename TreeNode<Tree<RootT>, LEVEL>::type* Tree<RootT>::getNode(uint32_t i)
{
NANOVDB_ASSERT(i < DataType::mCount[LEVEL]);
return reinterpret_cast<TreeNodeT<LEVEL>*>(reinterpret_cast<uint8_t*>(this) + DataType::mBytes[LEVEL]) + i;
@@ -2370,7 +2370,7 @@
template<typename RootT>
template<typename NodeT>
-uint32_t Tree<RootT>::getNodeID(const NodeT& node) const
+__hostdev__ uint32_t Tree<RootT>::getNodeID(const NodeT& node) const
{
static_assert(is_same<TreeNodeT<NodeT::LEVEL>, NodeT>::value, "Tree::getNodeID: invalid node type");
const NodeT* first = reinterpret_cast<const NodeT*>(reinterpret_cast<const uint8_t*>(this) + DataType::mBytes[NodeT::LEVEL]);
@@ -2380,7 +2380,7 @@
template<typename RootT>
template<typename NodeT>
-uint32_t Tree<RootT>::getLinearOffset(const NodeT& node) const
+__hostdev__ uint32_t Tree<RootT>::getLinearOffset(const NodeT& node) const
{
return this->getNodeID(node) + DataType::mPFSum[NodeT::LEVEL];
}
@@ -3366,7 +3366,7 @@
}; // LeafNode class
template<typename ValueT, typename CoordT, template<uint32_t> class MaskT, uint32_t LOG2DIM>
-inline void LeafNode<ValueT, CoordT, MaskT, LOG2DIM>::updateBBox()
+inline __hostdev__ void LeafNode<ValueT, CoordT, MaskT, LOG2DIM>::updateBBox()
{
static_assert(LOG2DIM == 3, "LeafNode::updateBBox: only supports LOGDIM = 3!");
if (!this->isActive()) return;
Index: nanovdb/nanovdb/util/SampleFromVoxels.h
===================================================================
--- a/nanovdb/nanovdb/util/SampleFromVoxels.h (revision 62751)
+++ b/nanovdb/nanovdb/util/SampleFromVoxels.h (working copy)
@@ -22,7 +22,7 @@
#define NANOVDB_SAMPLE_FROM_VOXELS_H_HAS_BEEN_INCLUDED
// Only define __hostdev__ when compiling as NVIDIA CUDA
-#ifdef __CUDACC__
+#if defined(__CUDACC__) || defined(__HIP__)
#define __hostdev__ __host__ __device__
#else
#include <cmath> // for floor
@@ -136,7 +136,7 @@
template<typename TreeOrAccT>
template<typename Vec3T>
-typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 0, true>::operator()(const Vec3T& xyz) const
+__hostdev__ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 0, true>::operator()(const Vec3T& xyz) const
{
const CoordT ijk = Round<CoordT>(xyz);
if (ijk != mPos) {
@@ -147,7 +147,7 @@
}
template<typename TreeOrAccT>
-typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 0, true>::operator()(const CoordT& ijk) const
+__hostdev__ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 0, true>::operator()(const CoordT& ijk) const
{
if (ijk != mPos) {
mPos = ijk;
@@ -158,7 +158,7 @@
template<typename TreeOrAccT>
template<typename Vec3T>
-typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 0, false>::operator()(const Vec3T& xyz) const
+__hostdev__ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 0, false>::operator()(const Vec3T& xyz) const
{
return mAcc.getValue(Round<CoordT>(xyz));
}
@@ -195,7 +195,7 @@
}; // TrilinearSamplerBase
template<typename TreeOrAccT>
-void TrilinearSampler<TreeOrAccT>::stencil(CoordT& ijk, ValueT (&v)[2][2][2]) const
+__hostdev__ void TrilinearSampler<TreeOrAccT>::stencil(CoordT& ijk, ValueT (&v)[2][2][2]) const
{
v[0][0][0] = mAcc.getValue(ijk); // i, j, k
@@ -224,7 +224,7 @@
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-typename TreeOrAccT::ValueType TrilinearSampler<TreeOrAccT>::sample(const Vec3T<RealT> &uvw, const ValueT (&v)[2][2][2])
+__hostdev__ typename TreeOrAccT::ValueType TrilinearSampler<TreeOrAccT>::sample(const Vec3T<RealT> &uvw, const ValueT (&v)[2][2][2])
{
#if 0
auto lerp = [](ValueT a, ValueT b, ValueT w){ return fma(w, b-a, a); };// = w*(b-a) + a
@@ -239,7 +239,7 @@
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-Vec3T<typename TreeOrAccT::ValueType> TrilinearSampler<TreeOrAccT>::gradient(const Vec3T<RealT> &uvw, const ValueT (&v)[2][2][2])
+__hostdev__ Vec3T<typename TreeOrAccT::ValueType> TrilinearSampler<TreeOrAccT>::gradient(const Vec3T<RealT> &uvw, const ValueT (&v)[2][2][2])
{
static_assert(std::is_floating_point<ValueT>::value, "TrilinearSampler::gradient requires a floating-point type");
#if 0
@@ -270,7 +270,7 @@
}
template<typename TreeOrAccT>
-bool TrilinearSampler<TreeOrAccT>::zeroCrossing(const ValueT (&v)[2][2][2])
+__hostdev__ bool TrilinearSampler<TreeOrAccT>::zeroCrossing(const ValueT (&v)[2][2][2])
{
static_assert(std::is_floating_point<ValueT>::value, "TrilinearSampler::zeroCrossing requires a floating-point type");
const bool less = v[0][0][0] < ValueT(0);
@@ -363,7 +363,7 @@
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 1, true>::operator()(Vec3T<RealT> xyz) const
+__hostdev__ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 1, true>::operator()(Vec3T<RealT> xyz) const
{
this->cache(xyz);
return BaseT::sample(xyz, mVal);
@@ -370,7 +370,7 @@
}
template<typename TreeOrAccT>
-typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 1, true>::operator()(const CoordT &ijk) const
+__hostdev__ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 1, true>::operator()(const CoordT &ijk) const
{
return ijk == mPos ? mVal[0][0][0] : BaseT::mAcc.getValue(ijk);
}
@@ -377,7 +377,7 @@
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-Vec3T<typename TreeOrAccT::ValueType> SampleFromVoxels<TreeOrAccT, 1, true>::gradient(Vec3T<RealT> xyz) const
+__hostdev__ Vec3T<typename TreeOrAccT::ValueType> SampleFromVoxels<TreeOrAccT, 1, true>::gradient(Vec3T<RealT> xyz) const
{
this->cache(xyz);
return BaseT::gradient(xyz, mVal);
@@ -393,7 +393,7 @@
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-void SampleFromVoxels<TreeOrAccT, 1, true>::cache(Vec3T<RealT>& xyz) const
+__hostdev__ void SampleFromVoxels<TreeOrAccT, 1, true>::cache(Vec3T<RealT>& xyz) const
{
CoordT ijk = Floor<CoordT>(xyz);
if (ijk != mPos) {
@@ -406,7 +406,7 @@
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 1, false>::operator()(Vec3T<RealT> xyz) const
+__hostdev__ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 1, false>::operator()(Vec3T<RealT> xyz) const
{
ValueT val[2][2][2];
CoordT ijk = Floor<CoordT>(xyz);
@@ -418,7 +418,7 @@
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 1, false>::operator()(Vec3T<RealT> xyz) const
+__hostdev__ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 1, false>::operator()(Vec3T<RealT> xyz) const
{
auto lerp = [](ValueT a, ValueT b, RealT w) { return a + ValueT(w) * (b - a); };
@@ -463,7 +463,7 @@
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-inline Vec3T<typename TreeOrAccT::ValueType> SampleFromVoxels<TreeOrAccT, 1, false>::gradient(Vec3T<RealT> xyz) const
+inline __hostdev__ Vec3T<typename TreeOrAccT::ValueType> SampleFromVoxels<TreeOrAccT, 1, false>::gradient(Vec3T<RealT> xyz) const
{
ValueT val[2][2][2];
CoordT ijk = Floor<CoordT>(xyz);
@@ -473,7 +473,7 @@
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-bool SampleFromVoxels<TreeOrAccT, 1, false>::zeroCrossing(Vec3T<RealT> xyz) const
+__hostdev__ bool SampleFromVoxels<TreeOrAccT, 1, false>::zeroCrossing(Vec3T<RealT> xyz) const
{
ValueT val[2][2][2];
CoordT ijk = Floor<CoordT>(xyz);
@@ -510,7 +510,7 @@
}; // TriquadraticSamplerBase
template<typename TreeOrAccT>
-void TriquadraticSampler<TreeOrAccT>::stencil(const CoordT &ijk, ValueT (&v)[3][3][3]) const
+__hostdev__ void TriquadraticSampler<TreeOrAccT>::stencil(const CoordT &ijk, ValueT (&v)[3][3][3]) const
{
CoordT p(ijk[0] - 1, 0, 0);
for (int dx = 0; dx < 3; ++dx, ++p[0]) {
@@ -526,7 +526,7 @@
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-typename TreeOrAccT::ValueType TriquadraticSampler<TreeOrAccT>::sample(const Vec3T<RealT> &uvw, const ValueT (&v)[3][3][3])
+__hostdev__ typename TreeOrAccT::ValueType TriquadraticSampler<TreeOrAccT>::sample(const Vec3T<RealT> &uvw, const ValueT (&v)[3][3][3])
{
auto kernel = [](const ValueT* value, double weight)->ValueT {
return weight * (weight * (0.5f * (value[0] + value[2]) - value[1]) +
@@ -545,7 +545,7 @@
}
template<typename TreeOrAccT>
-bool TriquadraticSampler<TreeOrAccT>::zeroCrossing(const ValueT (&v)[3][3][3])
+__hostdev__ bool TriquadraticSampler<TreeOrAccT>::zeroCrossing(const ValueT (&v)[3][3][3])
{
static_assert(std::is_floating_point<ValueT>::value, "TrilinearSampler::zeroCrossing requires a floating-point type");
const bool less = v[0][0][0] < ValueT(0);
@@ -624,7 +624,7 @@
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 2, true>::operator()(Vec3T<RealT> xyz) const
+__hostdev__ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 2, true>::operator()(Vec3T<RealT> xyz) const
{
this->cache(xyz);
return BaseT::sample(xyz, mVal);
@@ -631,7 +631,7 @@
}
template<typename TreeOrAccT>
-typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 2, true>::operator()(const CoordT &ijk) const
+__hostdev__ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 2, true>::operator()(const CoordT &ijk) const
{
return ijk == mPos ? mVal[1][1][1] : BaseT::mAcc.getValue(ijk);
}
@@ -646,7 +646,7 @@
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-void SampleFromVoxels<TreeOrAccT, 2, true>::cache(Vec3T<RealT>& xyz) const
+__hostdev__ void SampleFromVoxels<TreeOrAccT, 2, true>::cache(Vec3T<RealT>& xyz) const
{
CoordT ijk = Floor<CoordT>(xyz);
if (ijk != mPos) {
@@ -657,7 +657,7 @@
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 2, false>::operator()(Vec3T<RealT> xyz) const
+__hostdev__ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 2, false>::operator()(Vec3T<RealT> xyz) const
{
ValueT val[3][3][3];
CoordT ijk = Floor<CoordT>(xyz);
@@ -667,7 +667,7 @@
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-bool SampleFromVoxels<TreeOrAccT, 2, false>::zeroCrossing(Vec3T<RealT> xyz) const
+__hostdev__ bool SampleFromVoxels<TreeOrAccT, 2, false>::zeroCrossing(Vec3T<RealT> xyz) const
{
ValueT val[3][3][3];
CoordT ijk = Floor<CoordT>(xyz);
@@ -710,7 +710,7 @@
}; // TricubicSampler
template<typename TreeOrAccT>
-void TricubicSampler<TreeOrAccT>::stencil(const CoordT& ijk, ValueT (&C)[64]) const
+__hostdev__ void TricubicSampler<TreeOrAccT>::stencil(const CoordT& ijk, ValueT (&C)[64]) const
{
auto fetch = [&](int i, int j, int k) -> ValueT& { return C[((i + 1) << 4) + ((j + 1) << 2) + k + 1]; };
@@ -929,7 +929,7 @@
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 3, true>::operator()(Vec3T<RealT> xyz) const
+__hostdev__ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 3, true>::operator()(Vec3T<RealT> xyz) const
{
this->cache(xyz);
return BaseT::sample(xyz, mC);
@@ -937,7 +937,7 @@
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-void SampleFromVoxels<TreeOrAccT, 3, true>::cache(Vec3T<RealT>& xyz) const
+__hostdev__ void SampleFromVoxels<TreeOrAccT, 3, true>::cache(Vec3T<RealT>& xyz) const
{
CoordT ijk = Floor<CoordT>(xyz);
if (ijk != mPos) {

View File

@ -99,3 +99,321 @@ diff -Naur openvdb-8.0.0/openvdb/openvdb/version.rc.in openvdb/openvdb/openvdb/v
+
+ END
+END
diff --git a/nanovdb/nanovdb/NanoVDB.h b/nanovdb/nanovdb/NanoVDB.h
index cc2e54b77..703d2eabc 100644
--- a/nanovdb/nanovdb/NanoVDB.h
+++ b/nanovdb/nanovdb/NanoVDB.h
@@ -161,8 +161,8 @@ typedef unsigned long long uint64_t;
#endif // __CUDACC_RTC__
-#ifdef __CUDACC__
-// Only define __hostdev__ when using NVIDIA CUDA compiler
+#if defined(__CUDACC__) || defined(__HIP__)
+// Only define __hostdev__ when using NVIDIA CUDA or HIP compiler
#define __hostdev__ __host__ __device__
#else
#define __hostdev__
@@ -611,7 +611,7 @@ struct Delta<double>
/// Maximum floating-point values
template<typename T>
struct Maximum;
-#ifdef __CUDA_ARCH__
+#if defined(__CUDA_ARCH__) || defined(__HIP__)
template<>
struct Maximum<int>
{
@@ -1176,10 +1176,10 @@ using Vec3f = Vec3<float>;
using Vec3i = Vec3<int>;
/// @brief Return a single precision floating-point vector of this coordinate
-Vec3f Coord::asVec3s() const { return Vec3f(float(mVec[0]), float(mVec[1]), float(mVec[2])); }
+__hostdev__ inline Vec3f Coord::asVec3s() const { return Vec3f(float(mVec[0]), float(mVec[1]), float(mVec[2])); }
/// @brief Return a double precision floating-point vector of this coordinate
-Vec3d Coord::asVec3d() const { return Vec3d(double(mVec[0]), double(mVec[1]), double(mVec[2])); }
+__hostdev__ inline Vec3d Coord::asVec3d() const { return Vec3d(double(mVec[0]), double(mVec[1]), double(mVec[2])); }
// ----------------------------> Vec4 <--------------------------------------
@@ -2042,7 +2042,7 @@ struct Map
}; // Map
template<typename Mat4T>
-void Map::set(const Mat4T& mat, const Mat4T& invMat, double taper)
+__hostdev__ void Map::set(const Mat4T& mat, const Mat4T& invMat, double taper)
{
float * mf = mMatF, *vf = mVecF;
float* mif = mInvMatF;
@@ -2486,7 +2486,7 @@ class Grid : private GridData
}; // Class Grid
template<typename TreeT>
-int Grid<TreeT>::findBlindDataForSemantic(GridBlindDataSemantic semantic) const
+__hostdev__ int Grid<TreeT>::findBlindDataForSemantic(GridBlindDataSemantic semantic) const
{
for (uint32_t i = 0, n = this->blindDataCount(); i < n; ++i)
if (this->blindMetaData(i).mSemantic == semantic)
@@ -2671,7 +2671,7 @@ class Tree : private TreeData<RootT::LEVEL>
}; // Tree class
template<typename RootT>
-void Tree<RootT>::extrema(ValueType& min, ValueType& max) const
+__hostdev__ void Tree<RootT>::extrema(ValueType& min, ValueType& max) const
{
min = this->root().minimum();
max = this->root().maximum();
@@ -3880,7 +3880,7 @@ class LeafNode : private LeafData<BuildT, CoordT, MaskT, Log2Dim>
}; // LeafNode class
template<typename ValueT, typename CoordT, template<uint32_t> class MaskT, uint32_t LOG2DIM>
-inline void LeafNode<ValueT, CoordT, MaskT, LOG2DIM>::updateBBox()
+__hostdev__ inline void LeafNode<ValueT, CoordT, MaskT, LOG2DIM>::updateBBox()
{
static_assert(LOG2DIM == 3, "LeafNode::updateBBox: only supports LOGDIM = 3!");
if (!this->isActive()) return;
diff --git a/nanovdb/nanovdb/util/SampleFromVoxels.h b/nanovdb/nanovdb/util/SampleFromVoxels.h
index 852123dac..e779d66cf 100644
--- a/nanovdb/nanovdb/util/SampleFromVoxels.h
+++ b/nanovdb/nanovdb/util/SampleFromVoxels.h
@@ -22,7 +22,7 @@
#define NANOVDB_SAMPLE_FROM_VOXELS_H_HAS_BEEN_INCLUDED
// Only define __hostdev__ when compiling as NVIDIA CUDA
-#ifdef __CUDACC__
+#if defined(__CUDACC__) || defined(__HIP__)
#define __hostdev__ __host__ __device__
#else
#include <cmath> // for floor
@@ -136,7 +136,7 @@ class SampleFromVoxels<TreeOrAccT, 0, false>
template<typename TreeOrAccT>
template<typename Vec3T>
-typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 0, true>::operator()(const Vec3T& xyz) const
+__hostdev__ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 0, true>::operator()(const Vec3T& xyz) const
{
const CoordT ijk = Round<CoordT>(xyz);
if (ijk != mPos) {
@@ -147,7 +147,7 @@ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 0, true>::operator()
}
template<typename TreeOrAccT>
-typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 0, true>::operator()(const CoordT& ijk) const
+__hostdev__ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 0, true>::operator()(const CoordT& ijk) const
{
if (ijk != mPos) {
mPos = ijk;
@@ -158,7 +158,7 @@ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 0, true>::operator()
template<typename TreeOrAccT>
template<typename Vec3T>
-typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 0, false>::operator()(const Vec3T& xyz) const
+__hostdev__ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 0, false>::operator()(const Vec3T& xyz) const
{
return mAcc.getValue(Round<CoordT>(xyz));
}
@@ -195,7 +195,7 @@ class TrilinearSampler
}; // TrilinearSamplerBase
template<typename TreeOrAccT>
-void TrilinearSampler<TreeOrAccT>::stencil(CoordT& ijk, ValueT (&v)[2][2][2]) const
+__hostdev__ void TrilinearSampler<TreeOrAccT>::stencil(CoordT& ijk, ValueT (&v)[2][2][2]) const
{
v[0][0][0] = mAcc.getValue(ijk); // i, j, k
@@ -224,7 +224,7 @@ void TrilinearSampler<TreeOrAccT>::stencil(CoordT& ijk, ValueT (&v)[2][2][2]) co
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-typename TreeOrAccT::ValueType TrilinearSampler<TreeOrAccT>::sample(const Vec3T<RealT> &uvw, const ValueT (&v)[2][2][2])
+__hostdev__ typename TreeOrAccT::ValueType TrilinearSampler<TreeOrAccT>::sample(const Vec3T<RealT> &uvw, const ValueT (&v)[2][2][2])
{
#if 0
auto lerp = [](ValueT a, ValueT b, ValueT w){ return fma(w, b-a, a); };// = w*(b-a) + a
@@ -239,7 +239,7 @@ typename TreeOrAccT::ValueType TrilinearSampler<TreeOrAccT>::sample(const Vec3T<
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-Vec3T<typename TreeOrAccT::ValueType> TrilinearSampler<TreeOrAccT>::gradient(const Vec3T<RealT> &uvw, const ValueT (&v)[2][2][2])
+__hostdev__ Vec3T<typename TreeOrAccT::ValueType> TrilinearSampler<TreeOrAccT>::gradient(const Vec3T<RealT> &uvw, const ValueT (&v)[2][2][2])
{
static_assert(is_floating_point<ValueT>::value, "TrilinearSampler::gradient requires a floating-point type");
#if 0
@@ -270,7 +270,7 @@ Vec3T<typename TreeOrAccT::ValueType> TrilinearSampler<TreeOrAccT>::gradient(con
}
template<typename TreeOrAccT>
-bool TrilinearSampler<TreeOrAccT>::zeroCrossing(const ValueT (&v)[2][2][2])
+__hostdev__ bool TrilinearSampler<TreeOrAccT>::zeroCrossing(const ValueT (&v)[2][2][2])
{
static_assert(is_floating_point<ValueT>::value, "TrilinearSampler::zeroCrossing requires a floating-point type");
const bool less = v[0][0][0] < ValueT(0);
@@ -363,21 +363,21 @@ class SampleFromVoxels<TreeOrAccT, 1, true> : public TrilinearSampler<TreeOrAccT
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 1, true>::operator()(Vec3T<RealT> xyz) const
+__hostdev__ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 1, true>::operator()(Vec3T<RealT> xyz) const
{
this->cache(xyz);
return BaseT::sample(xyz, mVal);
}
template<typename TreeOrAccT>
-typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 1, true>::operator()(const CoordT &ijk) const
+__hostdev__ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 1, true>::operator()(const CoordT &ijk) const
{
return ijk == mPos ? mVal[0][0][0] : BaseT::mAcc.getValue(ijk);
}
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-Vec3T<typename TreeOrAccT::ValueType> SampleFromVoxels<TreeOrAccT, 1, true>::gradient(Vec3T<RealT> xyz) const
+__hostdev__ Vec3T<typename TreeOrAccT::ValueType> SampleFromVoxels<TreeOrAccT, 1, true>::gradient(Vec3T<RealT> xyz) const
{
this->cache(xyz);
return BaseT::gradient(xyz, mVal);
@@ -393,7 +393,7 @@ __hostdev__ bool SampleFromVoxels<TreeOrAccT, 1, true>::zeroCrossing(Vec3T<RealT
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-void SampleFromVoxels<TreeOrAccT, 1, true>::cache(Vec3T<RealT>& xyz) const
+__hostdev__ void SampleFromVoxels<TreeOrAccT, 1, true>::cache(Vec3T<RealT>& xyz) const
{
CoordT ijk = Floor<CoordT>(xyz);
if (ijk != mPos) {
@@ -406,7 +406,7 @@ void SampleFromVoxels<TreeOrAccT, 1, true>::cache(Vec3T<RealT>& xyz) const
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 1, false>::operator()(Vec3T<RealT> xyz) const
+__hostdev__ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 1, false>::operator()(Vec3T<RealT> xyz) const
{
ValueT val[2][2][2];
CoordT ijk = Floor<CoordT>(xyz);
@@ -418,7 +418,7 @@ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 1, false>::operator(
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 1, false>::operator()(Vec3T<RealT> xyz) const
+__hostdev__ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 1, false>::operator()(Vec3T<RealT> xyz) const
{
auto lerp = [](ValueT a, ValueT b, RealT w) { return a + ValueT(w) * (b - a); };
@@ -463,7 +463,7 @@ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 1, false>::operator(
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-inline Vec3T<typename TreeOrAccT::ValueType> SampleFromVoxels<TreeOrAccT, 1, false>::gradient(Vec3T<RealT> xyz) const
+__hostdev__ inline Vec3T<typename TreeOrAccT::ValueType> SampleFromVoxels<TreeOrAccT, 1, false>::gradient(Vec3T<RealT> xyz) const
{
ValueT val[2][2][2];
CoordT ijk = Floor<CoordT>(xyz);
@@ -473,7 +473,7 @@ inline Vec3T<typename TreeOrAccT::ValueType> SampleFromVoxels<TreeOrAccT, 1, fal
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-bool SampleFromVoxels<TreeOrAccT, 1, false>::zeroCrossing(Vec3T<RealT> xyz) const
+__hostdev__ bool SampleFromVoxels<TreeOrAccT, 1, false>::zeroCrossing(Vec3T<RealT> xyz) const
{
ValueT val[2][2][2];
CoordT ijk = Floor<CoordT>(xyz);
@@ -510,7 +510,7 @@ class TriquadraticSampler
}; // TriquadraticSamplerBase
template<typename TreeOrAccT>
-void TriquadraticSampler<TreeOrAccT>::stencil(const CoordT &ijk, ValueT (&v)[3][3][3]) const
+__hostdev__ void TriquadraticSampler<TreeOrAccT>::stencil(const CoordT &ijk, ValueT (&v)[3][3][3]) const
{
CoordT p(ijk[0] - 1, 0, 0);
for (int dx = 0; dx < 3; ++dx, ++p[0]) {
@@ -526,7 +526,7 @@ void TriquadraticSampler<TreeOrAccT>::stencil(const CoordT &ijk, ValueT (&v)[3][
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-typename TreeOrAccT::ValueType TriquadraticSampler<TreeOrAccT>::sample(const Vec3T<RealT> &uvw, const ValueT (&v)[3][3][3])
+__hostdev__ typename TreeOrAccT::ValueType TriquadraticSampler<TreeOrAccT>::sample(const Vec3T<RealT> &uvw, const ValueT (&v)[3][3][3])
{
auto kernel = [](const ValueT* value, double weight)->ValueT {
return weight * (weight * (0.5f * (value[0] + value[2]) - value[1]) +
@@ -545,7 +545,7 @@ typename TreeOrAccT::ValueType TriquadraticSampler<TreeOrAccT>::sample(const Vec
}
template<typename TreeOrAccT>
-bool TriquadraticSampler<TreeOrAccT>::zeroCrossing(const ValueT (&v)[3][3][3])
+__hostdev__ bool TriquadraticSampler<TreeOrAccT>::zeroCrossing(const ValueT (&v)[3][3][3])
{
static_assert(is_floating_point<ValueT>::value, "TrilinearSampler::zeroCrossing requires a floating-point type");
const bool less = v[0][0][0] < ValueT(0);
@@ -624,14 +624,14 @@ class SampleFromVoxels<TreeOrAccT, 2, true> : public TriquadraticSampler<TreeOrA
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 2, true>::operator()(Vec3T<RealT> xyz) const
+__hostdev__ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 2, true>::operator()(Vec3T<RealT> xyz) const
{
this->cache(xyz);
return BaseT::sample(xyz, mVal);
}
template<typename TreeOrAccT>
-typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 2, true>::operator()(const CoordT &ijk) const
+__hostdev__ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 2, true>::operator()(const CoordT &ijk) const
{
return ijk == mPos ? mVal[1][1][1] : BaseT::mAcc.getValue(ijk);
}
@@ -646,7 +646,7 @@ __hostdev__ bool SampleFromVoxels<TreeOrAccT, 2, true>::zeroCrossing(Vec3T<RealT
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-void SampleFromVoxels<TreeOrAccT, 2, true>::cache(Vec3T<RealT>& xyz) const
+__hostdev__ void SampleFromVoxels<TreeOrAccT, 2, true>::cache(Vec3T<RealT>& xyz) const
{
CoordT ijk = Floor<CoordT>(xyz);
if (ijk != mPos) {
@@ -657,7 +657,7 @@ void SampleFromVoxels<TreeOrAccT, 2, true>::cache(Vec3T<RealT>& xyz) const
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 2, false>::operator()(Vec3T<RealT> xyz) const
+__hostdev__ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 2, false>::operator()(Vec3T<RealT> xyz) const
{
ValueT val[3][3][3];
CoordT ijk = Floor<CoordT>(xyz);
@@ -667,7 +667,7 @@ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 2, false>::operator(
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-bool SampleFromVoxels<TreeOrAccT, 2, false>::zeroCrossing(Vec3T<RealT> xyz) const
+__hostdev__ bool SampleFromVoxels<TreeOrAccT, 2, false>::zeroCrossing(Vec3T<RealT> xyz) const
{
ValueT val[3][3][3];
CoordT ijk = Floor<CoordT>(xyz);
@@ -710,7 +710,7 @@ class TricubicSampler
}; // TricubicSampler
template<typename TreeOrAccT>
-void TricubicSampler<TreeOrAccT>::stencil(const CoordT& ijk, ValueT (&C)[64]) const
+__hostdev__ void TricubicSampler<TreeOrAccT>::stencil(const CoordT& ijk, ValueT (&C)[64]) const
{
auto fetch = [&](int i, int j, int k) -> ValueT& { return C[((i + 1) << 4) + ((j + 1) << 2) + k + 1]; };
@@ -929,7 +929,7 @@ class SampleFromVoxels<TreeOrAccT, 3, true> : public TricubicSampler<TreeOrAccT>
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 3, true>::operator()(Vec3T<RealT> xyz) const
+__hostdev__ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 3, true>::operator()(Vec3T<RealT> xyz) const
{
this->cache(xyz);
return BaseT::sample(xyz, mC);
@@ -937,7 +937,7 @@ typename TreeOrAccT::ValueType SampleFromVoxels<TreeOrAccT, 3, true>::operator()
template<typename TreeOrAccT>
template<typename RealT, template<typename...> class Vec3T>
-void SampleFromVoxels<TreeOrAccT, 3, true>::cache(Vec3T<RealT>& xyz) const
+__hostdev__ void SampleFromVoxels<TreeOrAccT, 3, true>::cache(Vec3T<RealT>& xyz) const
{
CoordT ijk = Floor<CoordT>(xyz);
if (ijk != mPos) {

View File

@ -36,3 +36,11 @@ if(EXISTS ${LIBDIR}/webp)
else()
set(WITH_IMAGE_WEBP OFF)
endif()
# NanoVDB moved into openvdb.
if(UNIX AND
DEFINED NANOVDB_INCLUDE_DIR AND
NOT EXISTS ${NANOVDB_INCLUDE_DIR} AND
EXISTS ${LIBDIR}/openvdb/include/nanovdb)
unset_cache_variables("^NANOVDB")
endif()