Sergey Sharybin
d32d787f5f
For example
```
OIIOOutputDriver::~OIIOOutputDriver()
{
}
```
becomes
```
OIIOOutputDriver::~OIIOOutputDriver() {}
```
Saves quite some vertical space, which is especially handy for
constructors.
Pull Request: blender/blender#105594
101 lines
3.0 KiB
C++
101 lines
3.0 KiB
C++
/* SPDX-License-Identifier: Apache-2.0
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* Adapted from code copyright 2009-2011 Intel Corporation
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* Modifications Copyright 2012-2022 Blender Foundation. */
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#ifndef __BVH_BINNING_H__
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#define __BVH_BINNING_H__
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#include "bvh/params.h"
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#include "bvh/unaligned.h"
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#include "util/types.h"
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CCL_NAMESPACE_BEGIN
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class BVHBuild;
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/* Single threaded object binner. Finds the split with the best SAH heuristic
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* by testing for each dimension multiple partitionings for regular spaced
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* partition locations. A partitioning for a partition location is computed,
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* by putting primitives whose centroid is on the left and right of the split
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* location to different sets. The SAH is evaluated by computing the number of
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* blocks occupied by the primitives in the partitions. */
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class BVHObjectBinning : public BVHRange {
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public:
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__forceinline BVHObjectBinning() : leafSAH(FLT_MAX) {}
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BVHObjectBinning(const BVHRange &job,
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BVHReference *prims,
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const BVHUnaligned *unaligned_heuristic = NULL,
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const Transform *aligned_space = NULL);
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void split(BVHReference *prims, BVHObjectBinning &left_o, BVHObjectBinning &right_o) const;
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__forceinline const BoundBox &unaligned_bounds()
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{
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return bounds_;
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}
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float splitSAH; /* SAH cost of the best split */
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float leafSAH; /* SAH cost of creating a leaf */
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protected:
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int dim; /* best split dimension */
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int pos; /* best split position */
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size_t num_bins; /* actual number of bins to use */
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float3 scale; /* scaling factor to compute bin */
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/* Effective bounds and centroid bounds. */
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BoundBox bounds_;
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BoundBox cent_bounds_;
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const BVHUnaligned *unaligned_heuristic_;
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const Transform *aligned_space_;
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enum { MAX_BINS = 32 };
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enum { LOG_BLOCK_SIZE = 2 };
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/* computes the bin numbers for each dimension for a box. */
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__forceinline int4 get_bin(const BoundBox &box) const
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{
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int4 a = make_int4((box.center2() - cent_bounds_.min) * scale - make_float3(0.5f));
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int4 mn = make_int4(0);
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int4 mx = make_int4((int)num_bins - 1);
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return clamp(a, mn, mx);
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}
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/* computes the bin numbers for each dimension for a point. */
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__forceinline int4 get_bin(const float3 &c) const
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{
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return make_int4((c - cent_bounds_.min) * scale - make_float3(0.5f));
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}
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/* compute the number of blocks occupied for each dimension. */
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__forceinline float4 blocks(const int4 &a) const
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{
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return make_float4((a + make_int4((1 << LOG_BLOCK_SIZE) - 1)) >> LOG_BLOCK_SIZE);
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}
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/* compute the number of blocks occupied in one dimension. */
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__forceinline int blocks(size_t a) const
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{
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return (int)((a + ((1LL << LOG_BLOCK_SIZE) - 1)) >> LOG_BLOCK_SIZE);
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}
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__forceinline BoundBox get_prim_bounds(const BVHReference &prim) const
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{
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if (aligned_space_ == NULL) {
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return prim.bounds();
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}
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else {
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return unaligned_heuristic_->compute_aligned_prim_boundbox(prim, *aligned_space_);
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}
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}
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};
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CCL_NAMESPACE_END
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#endif /* __BVH_BINNING_H__ */
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