mirror of
https://github.com/PixarAnimationStudios/OpenSubdiv
synced 2024-11-23 04:00:07 +00:00
fe38ad8cda
Now that Far::LimitStencilTable and Far::PatchTable support evaluation of 1st and 2nd derivatives the Osd Evaluator API for evaluating stencils and patches has been updated to match.
277 lines
9.9 KiB
C++
277 lines
9.9 KiB
C++
//
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// Copyright 2013 Pixar
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//
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// Licensed under the Apache License, Version 2.0 (the "Apache License")
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// with the following modification; you may not use this file except in
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// compliance with the Apache License and the following modification to it:
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// Section 6. Trademarks. is deleted and replaced with:
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//
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// 6. Trademarks. This License does not grant permission to use the trade
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// names, trademarks, service marks, or product names of the Licensor
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// and its affiliates, except as required to comply with Section 4(c) of
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// the License and to reproduce the content of the NOTICE file.
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//
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// You may obtain a copy of the Apache License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the Apache License with the above modification is
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// distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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// KIND, either express or implied. See the Apache License for the specific
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// language governing permissions and limitations under the Apache License.
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//
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#include "../osd/ompKernel.h"
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#include "../osd/bufferDescriptor.h"
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#include <cassert>
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#include <cstdlib>
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#include <omp.h>
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#include <vector>
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namespace OpenSubdiv {
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namespace OPENSUBDIV_VERSION {
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namespace Osd {
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template <class T> T *
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elementAtIndex(T * src, int index, BufferDescriptor const &desc) {
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return src + index * desc.stride;
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}
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static inline void
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clear(float *dst, BufferDescriptor const &desc) {
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assert(dst);
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memset(dst, 0, desc.length*sizeof(float));
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}
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static inline void
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addWithWeight(float *dst, const float *src, int srcIndex, float weight,
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BufferDescriptor const &desc) {
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assert(src && dst);
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src = elementAtIndex(src, srcIndex, desc);
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for (int k = 0; k < desc.length; ++k) {
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dst[k] += src[k] * weight;
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}
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}
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static inline void
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copy(float *dst, int dstIndex, const float *src,
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BufferDescriptor const &desc) {
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assert(src && dst);
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dst = elementAtIndex(dst, dstIndex, desc);
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memcpy(dst, src, desc.length*sizeof(float));
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}
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// XXXX manuelk this should be optimized further by using SIMD - considering
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// OMP is somewhat obsolete - this is probably not worth it.
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void
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OmpEvalStencils(float const * src, BufferDescriptor const &srcDesc,
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float * dst, BufferDescriptor const &dstDesc,
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int const * sizes,
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int const * offsets,
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int const * indices,
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float const * weights,
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int start, int end) {
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start = (start > 0 ? start : 0);
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src += srcDesc.offset;
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dst += dstDesc.offset;
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int numThreads = omp_get_max_threads();
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int n = end - start;
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float * result = (float*)alloca(srcDesc.length * numThreads * sizeof(float));
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#pragma omp parallel for
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for (int i = 0; i < n; ++i) {
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int index = i + start; // Stencil index
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// Get thread-local pointers
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int const * threadIndices = indices + offsets[index];
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float const * threadWeights = weights + offsets[index];
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int threadId = omp_get_thread_num();
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float * threadResult = result + threadId*srcDesc.length;
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clear(threadResult, dstDesc);
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for (int j=0; j<(int)sizes[index]; ++j) {
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addWithWeight(threadResult, src,
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threadIndices[j], threadWeights[j], srcDesc);
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}
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copy(dst, i, threadResult, dstDesc);
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}
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}
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void
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OmpEvalStencils(float const * src, BufferDescriptor const &srcDesc,
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float * dst, BufferDescriptor const &dstDesc,
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float * dstDu, BufferDescriptor const &dstDuDesc,
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float * dstDv, BufferDescriptor const &dstDvDesc,
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int const * sizes,
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int const * offsets,
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int const * indices,
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float const * weights,
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float const * duWeights,
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float const * dvWeights,
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int start, int end) {
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start = (start > 0 ? start : 0);
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src += srcDesc.offset;
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dst += dstDesc.offset;
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dstDu += dstDuDesc.offset;
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dstDv += dstDvDesc.offset;
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int numThreads = omp_get_max_threads();
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int n = end - start;
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float * result = (float*)alloca(srcDesc.length * numThreads * sizeof(float));
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float * resultDu = (float*)alloca(srcDesc.length * numThreads * sizeof(float));
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float * resultDv = (float*)alloca(srcDesc.length * numThreads * sizeof(float));
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#pragma omp parallel for
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for (int i = 0; i < n; ++i) {
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int index = i + start; // Stencil index
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// Get thread-local pointers
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int const * threadIndices = indices + offsets[index];
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float const * threadWeights = weights + offsets[index];
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float const * threadWeightsDu = duWeights + offsets[index];
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float const * threadWeightsDv = dvWeights + offsets[index];
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int threadId = omp_get_thread_num();
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float * threadResult = result + threadId*srcDesc.length;
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float * threadResultDu = resultDu + threadId*srcDesc.length;
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float * threadResultDv = resultDv + threadId*srcDesc.length;
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clear(threadResult, dstDesc);
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clear(threadResultDu, dstDuDesc);
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clear(threadResultDv, dstDvDesc);
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for (int j=0; j<(int)sizes[index]; ++j) {
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addWithWeight(threadResult, src,
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threadIndices[j], threadWeights[j], srcDesc);
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addWithWeight(threadResultDu, src,
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threadIndices[j], threadWeightsDu[j], srcDesc);
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addWithWeight(threadResultDv, src,
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threadIndices[j], threadWeightsDv[j], srcDesc);
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}
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copy(dst, i, threadResult, dstDesc);
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copy(dstDu, i, threadResultDu, dstDuDesc);
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copy(dstDv, i, threadResultDv, dstDvDesc);
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}
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}
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void
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OmpEvalStencils(float const * src, BufferDescriptor const &srcDesc,
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float * dst, BufferDescriptor const &dstDesc,
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float * dstDu, BufferDescriptor const &dstDuDesc,
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float * dstDv, BufferDescriptor const &dstDvDesc,
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float * dstDuu, BufferDescriptor const &dstDuuDesc,
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float * dstDuv, BufferDescriptor const &dstDuvDesc,
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float * dstDvv, BufferDescriptor const &dstDvvDesc,
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int const * sizes,
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int const * offsets,
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int const * indices,
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float const * weights,
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float const * duWeights,
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float const * dvWeights,
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float const * duuWeights,
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float const * duvWeights,
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float const * dvvWeights,
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int start, int end) {
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start = (start > 0 ? start : 0);
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src += srcDesc.offset;
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dst += dstDesc.offset;
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dstDu += dstDuDesc.offset;
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dstDv += dstDvDesc.offset;
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dstDuu += dstDuuDesc.offset;
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dstDuv += dstDuvDesc.offset;
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dstDvv += dstDvvDesc.offset;
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int numThreads = omp_get_max_threads();
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int n = end - start;
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float * result = (float*)alloca(srcDesc.length * numThreads * sizeof(float));
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float * resultDu = (float*)alloca(srcDesc.length * numThreads * sizeof(float));
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float * resultDv = (float*)alloca(srcDesc.length * numThreads * sizeof(float));
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float * resultDuu = (float*)alloca(srcDesc.length * numThreads * sizeof(float));
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float * resultDuv = (float*)alloca(srcDesc.length * numThreads * sizeof(float));
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float * resultDvv = (float*)alloca(srcDesc.length * numThreads * sizeof(float));
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#pragma omp parallel for
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for (int i = 0; i < n; ++i) {
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int index = i + start; // Stencil index
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// Get thread-local pointers
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int const * threadIndices = indices + offsets[index];
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float const * threadWeights = weights + offsets[index];
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float const * threadWeightsDu = duWeights + offsets[index];
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float const * threadWeightsDv = dvWeights + offsets[index];
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float const * threadWeightsDuu = duuWeights + offsets[index];
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float const * threadWeightsDuv = duvWeights + offsets[index];
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float const * threadWeightsDvv = dvvWeights + offsets[index];
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int threadId = omp_get_thread_num();
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float * threadResult = result + threadId*srcDesc.length;
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float * threadResultDu = resultDu + threadId*srcDesc.length;
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float * threadResultDv = resultDv + threadId*srcDesc.length;
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float * threadResultDuu = resultDuu + threadId*srcDesc.length;
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float * threadResultDuv = resultDuv + threadId*srcDesc.length;
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float * threadResultDvv = resultDvv + threadId*srcDesc.length;
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clear(threadResult, dstDesc);
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clear(threadResultDu, dstDuDesc);
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clear(threadResultDv, dstDvDesc);
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clear(threadResultDuu, dstDuuDesc);
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clear(threadResultDuv, dstDuvDesc);
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clear(threadResultDvv, dstDvvDesc);
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for (int j=0; j<(int)sizes[index]; ++j) {
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addWithWeight(threadResult, src,
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threadIndices[j], threadWeights[j], srcDesc);
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addWithWeight(threadResultDu, src,
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threadIndices[j], threadWeightsDu[j], srcDesc);
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addWithWeight(threadResultDv, src,
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threadIndices[j], threadWeightsDv[j], srcDesc);
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addWithWeight(threadResultDuu, src,
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threadIndices[j], threadWeightsDuu[j], srcDesc);
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addWithWeight(threadResultDuv, src,
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threadIndices[j], threadWeightsDuv[j], srcDesc);
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addWithWeight(threadResultDvv, src,
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threadIndices[j], threadWeightsDvv[j], srcDesc);
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}
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copy(dst, i, threadResult, dstDesc);
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copy(dstDu, i, threadResultDu, dstDuDesc);
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copy(dstDv, i, threadResultDv, dstDvDesc);
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copy(dstDuu, i, threadResultDuu, dstDuuDesc);
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copy(dstDuv, i, threadResultDuv, dstDuvDesc);
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copy(dstDvv, i, threadResultDvv, dstDvvDesc);
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}
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}
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} // end namespace Osd
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} // end namespace OPENSUBDIV_VERSION
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} // end namespace OpenSubdiv
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