mirror of
https://github.com/PixarAnimationStudios/OpenSubdiv
synced 2024-12-05 01:10:05 +00:00
8efecb0fca
2 client APIs are changed. - VertexBuffer::UpdateData() takes start vertex offset - ComputeController::Refine() takes FarKernelBatchVector Also, ComputeContext no longer holds farmesh. Client can free farmesh after OsdComputeContext is created. (but still need FarKernelBatchVector to apply subdivision kernels)
432 lines
16 KiB
C++
432 lines
16 KiB
C++
//
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// Copyright (C) Pixar. All rights reserved.
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//
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// This license governs use of the accompanying software. If you
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// use the software, you accept this license. If you do not accept
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// the license, do not use the software.
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//
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// 1. Definitions
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// The terms "reproduce," "reproduction," "derivative works," and
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// "distribution" have the same meaning here as under U.S.
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// copyright law. A "contribution" is the original software, or
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// any additions or changes to the software.
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// A "contributor" is any person or entity that distributes its
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// contribution under this license.
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// "Licensed patents" are a contributor's patent claims that read
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// directly on its contribution.
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//
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// 2. Grant of Rights
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// (A) Copyright Grant- Subject to the terms of this license,
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// including the license conditions and limitations in section 3,
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// each contributor grants you a non-exclusive, worldwide,
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// royalty-free copyright license to reproduce its contribution,
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// prepare derivative works of its contribution, and distribute
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// its contribution or any derivative works that you create.
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// (B) Patent Grant- Subject to the terms of this license,
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// including the license conditions and limitations in section 3,
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// each contributor grants you a non-exclusive, worldwide,
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// royalty-free license under its licensed patents to make, have
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// made, use, sell, offer for sale, import, and/or otherwise
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// dispose of its contribution in the software or derivative works
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// of the contribution in the software.
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//
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// 3. Conditions and Limitations
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// (A) No Trademark License- This license does not grant you
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// rights to use any contributor's name, logo, or trademarks.
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// (B) If you bring a patent claim against any contributor over
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// patents that you claim are infringed by the software, your
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// patent license from such contributor to the software ends
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// automatically.
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// (C) If you distribute any portion of the software, you must
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// retain all copyright, patent, trademark, and attribution
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// notices that are present in the software.
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// (D) If you distribute any portion of the software in source
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// code form, you may do so only under this license by including a
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// complete copy of this license with your distribution. If you
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// distribute any portion of the software in compiled or object
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// code form, you may only do so under a license that complies
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// with this license.
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// (E) The software is licensed "as-is." You bear the risk of
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// using it. The contributors give no express warranties,
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// guarantees or conditions. You may have additional consumer
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// rights under your local laws which this license cannot change.
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// To the extent permitted under your local laws, the contributors
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// exclude the implied warranties of merchantability, fitness for
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// a particular purpose and non-infringement.
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//
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#include "../osd/cudaComputeContext.h"
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#include "../osd/cudaComputeController.h"
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#include "../osd/table.h"
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#include <cuda_runtime.h>
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#include <string.h>
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extern "C" {
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void OsdCudaComputeFace(float *vertex, float *varying,
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int numUserVertexElements, int numVaryingElements,
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int *F_IT, int *F_ITa, int offset, int tableOffset, int start, int end);
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void OsdCudaComputeEdge(float *vertex, float *varying,
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int numUserVertexElements, int numVaryingElements,
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int *E_IT, float *E_W, int offset, int tableOffset, int start, int end);
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void OsdCudaComputeVertexA(float *vertex, float *varying,
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int numUserVertexElements, int numVaryingElements,
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int *V_ITa, float *V_W, int offset, int tableOffset,
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int start, int end, int pass);
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void OsdCudaComputeVertexB(float *vertex, float *varying,
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int numUserVertexElements, int numVaryingElements,
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int *V_ITa, int *V_IT, float *V_W, int offset, int tableOffset,
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int start, int end);
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void OsdCudaComputeLoopVertexB(float *vertex, float *varying,
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int numUserVertexElements,
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int numVaryingElements,
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int *V_ITa, int *V_IT, float *V_W, int offset, int tableOffset,
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int start, int end);
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void OsdCudaComputeBilinearEdge(float *vertex, float *varying,
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int numUserVertexElements,
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int numVaryingElements,
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int *E_IT, int offset, int tableOffset, int start, int end);
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void OsdCudaComputeBilinearVertex(float *vertex, float *varying,
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int numUserVertexElements,
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int numVaryingElements,
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int *V_ITa, int offset, int tableOffset, int start, int end);
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void OsdCudaEditVertexAdd(float *vertex, int numUserVertexElements,
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int primVarOffset, int primVarWidth,
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int vertexOffset, int tableOffset,
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int start, int end, int *editIndices, float *editValues);
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}
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namespace OpenSubdiv {
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namespace OPENSUBDIV_VERSION {
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OsdCudaComputeController::OsdCudaComputeController() {
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}
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OsdCudaComputeController::~OsdCudaComputeController() {
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}
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void
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OsdCudaComputeController::ApplyBilinearFaceVerticesKernel(
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FarKernelBatch const &batch, void * clientdata) const {
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OsdCudaComputeContext * context =
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static_cast<OsdCudaComputeContext*>(clientdata);
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assert(context);
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const OsdCudaTable * F_IT = context->GetTable(Table::F_IT);
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const OsdCudaTable * F_ITa = context->GetTable(Table::F_ITa);
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assert(F_IT);
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assert(F_ITa);
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OsdCudaComputeFace(
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context->GetCurrentVertexBuffer(),
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context->GetCurrentVaryingBuffer(),
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context->GetCurrentVertexNumElements()-3,
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context->GetCurrentVaryingNumElements(),
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static_cast<int*>(F_IT->GetCudaMemory()),
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static_cast<int*>(F_ITa->GetCudaMemory()),
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batch.vertexOffset, batch.tableOffset, batch.start, batch.end);
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}
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void
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OsdCudaComputeController::ApplyBilinearEdgeVerticesKernel(
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FarKernelBatch const &batch, void * clientdata) const {
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OsdCudaComputeContext * context =
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static_cast<OsdCudaComputeContext*>(clientdata);
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assert(context);
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const OsdCudaTable * E_IT = context->GetTable(Table::E_IT);
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assert(E_IT);
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OsdCudaComputeBilinearEdge(
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context->GetCurrentVertexBuffer(),
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context->GetCurrentVaryingBuffer(),
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context->GetCurrentVertexNumElements()-3,
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context->GetCurrentVaryingNumElements(),
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static_cast<int*>(E_IT->GetCudaMemory()),
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batch.vertexOffset, batch.tableOffset, batch.start, batch.end);
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}
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void
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OsdCudaComputeController::ApplyBilinearVertexVerticesKernel(
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FarKernelBatch const &batch, void * clientdata) const {
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OsdCudaComputeContext * context =
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static_cast<OsdCudaComputeContext*>(clientdata);
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assert(context);
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const OsdCudaTable * V_ITa = context->GetTable(Table::V_ITa);
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assert(V_ITa);
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OsdCudaComputeBilinearVertex(
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context->GetCurrentVertexBuffer(),
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context->GetCurrentVaryingBuffer(),
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context->GetCurrentVertexNumElements()-3,
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context->GetCurrentVaryingNumElements(),
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static_cast<int*>(V_ITa->GetCudaMemory()),
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batch.vertexOffset, batch.tableOffset, batch.start, batch.end);
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}
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void
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OsdCudaComputeController::ApplyCatmarkFaceVerticesKernel(
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FarKernelBatch const &batch, void * clientdata) const {
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OsdCudaComputeContext * context =
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static_cast<OsdCudaComputeContext*>(clientdata);
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assert(context);
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const OsdCudaTable * F_IT = context->GetTable(Table::F_IT);
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const OsdCudaTable * F_ITa = context->GetTable(Table::F_ITa);
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assert(F_IT);
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assert(F_ITa);
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OsdCudaComputeFace(
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context->GetCurrentVertexBuffer(),
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context->GetCurrentVaryingBuffer(),
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context->GetCurrentVertexNumElements()-3,
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context->GetCurrentVaryingNumElements(),
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static_cast<int*>(F_IT->GetCudaMemory()),
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static_cast<int*>(F_ITa->GetCudaMemory()),
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batch.vertexOffset, batch.tableOffset, batch.start, batch.end);
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}
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void
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OsdCudaComputeController::ApplyCatmarkEdgeVerticesKernel(
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FarKernelBatch const &batch, void * clientdata) const {
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OsdCudaComputeContext * context =
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static_cast<OsdCudaComputeContext*>(clientdata);
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assert(context);
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const OsdCudaTable * E_IT = context->GetTable(Table::E_IT);
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const OsdCudaTable * E_W = context->GetTable(Table::E_W);
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assert(E_IT);
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assert(E_W);
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OsdCudaComputeEdge(
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context->GetCurrentVertexBuffer(),
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context->GetCurrentVaryingBuffer(),
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context->GetCurrentVertexNumElements()-3,
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context->GetCurrentVaryingNumElements(),
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static_cast<int*>(E_IT->GetCudaMemory()),
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static_cast<float*>(E_W->GetCudaMemory()),
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batch.vertexOffset, batch.tableOffset, batch.start, batch.end);
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}
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void
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OsdCudaComputeController::ApplyCatmarkVertexVerticesKernelB(
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FarKernelBatch const &batch, void * clientdata) const {
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OsdCudaComputeContext * context =
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static_cast<OsdCudaComputeContext*>(clientdata);
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assert(context);
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const OsdCudaTable * V_ITa = context->GetTable(Table::V_ITa);
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const OsdCudaTable * V_IT = context->GetTable(Table::V_IT);
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const OsdCudaTable * V_W = context->GetTable(Table::V_W);
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assert(V_ITa);
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assert(V_IT);
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assert(V_W);
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OsdCudaComputeVertexB(
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context->GetCurrentVertexBuffer(),
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context->GetCurrentVaryingBuffer(),
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context->GetCurrentVertexNumElements()-3,
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context->GetCurrentVaryingNumElements(),
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static_cast<int*>(V_ITa->GetCudaMemory()),
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static_cast<int*>(V_IT->GetCudaMemory()),
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static_cast<float*>(V_W->GetCudaMemory()),
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batch.vertexOffset, batch.tableOffset, batch.start, batch.end);
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}
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void
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OsdCudaComputeController::ApplyCatmarkVertexVerticesKernelA1(
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FarKernelBatch const &batch, void * clientdata) const {
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OsdCudaComputeContext * context =
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static_cast<OsdCudaComputeContext*>(clientdata);
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assert(context);
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const OsdCudaTable * V_ITa = context->GetTable(Table::V_ITa);
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const OsdCudaTable * V_W = context->GetTable(Table::V_W);
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assert(V_ITa);
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assert(V_W);
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OsdCudaComputeVertexA(
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context->GetCurrentVertexBuffer(),
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context->GetCurrentVaryingBuffer(),
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context->GetCurrentVertexNumElements()-3,
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context->GetCurrentVaryingNumElements(),
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static_cast<int*>(V_ITa->GetCudaMemory()),
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static_cast<float*>(V_W->GetCudaMemory()),
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batch.vertexOffset, batch.tableOffset, batch.start, batch.end, false);
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}
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void
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OsdCudaComputeController::ApplyCatmarkVertexVerticesKernelA2(
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FarKernelBatch const &batch, void * clientdata) const {
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OsdCudaComputeContext * context =
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static_cast<OsdCudaComputeContext*>(clientdata);
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assert(context);
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const OsdCudaTable * V_ITa = context->GetTable(Table::V_ITa);
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const OsdCudaTable * V_W = context->GetTable(Table::V_W);
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assert(V_ITa);
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assert(V_W);
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OsdCudaComputeVertexA(
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context->GetCurrentVertexBuffer(),
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context->GetCurrentVaryingBuffer(),
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context->GetCurrentVertexNumElements()-3,
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context->GetCurrentVaryingNumElements(),
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static_cast<int*>(V_ITa->GetCudaMemory()),
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static_cast<float*>(V_W->GetCudaMemory()),
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batch.vertexOffset, batch.tableOffset, batch.start, batch.end, true);
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}
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void
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OsdCudaComputeController::ApplyLoopEdgeVerticesKernel(
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FarKernelBatch const &batch, void * clientdata) const {
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OsdCudaComputeContext * context =
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static_cast<OsdCudaComputeContext*>(clientdata);
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assert(context);
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const OsdCudaTable * E_IT = context->GetTable(Table::E_IT);
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const OsdCudaTable * E_W = context->GetTable(Table::E_W);
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assert(E_IT);
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assert(E_W);
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OsdCudaComputeEdge(
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context->GetCurrentVertexBuffer(),
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context->GetCurrentVaryingBuffer(),
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context->GetCurrentVertexNumElements()-3,
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context->GetCurrentVaryingNumElements(),
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static_cast<int*>(E_IT->GetCudaMemory()),
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static_cast<float*>(E_W->GetCudaMemory()),
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batch.vertexOffset, batch.tableOffset, batch.start, batch.end);
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}
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void
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OsdCudaComputeController::ApplyLoopVertexVerticesKernelB(
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FarKernelBatch const &batch, void * clientdata) const {
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OsdCudaComputeContext * context =
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static_cast<OsdCudaComputeContext*>(clientdata);
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assert(context);
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const OsdCudaTable * V_ITa = context->GetTable(Table::V_ITa);
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const OsdCudaTable * V_IT = context->GetTable(Table::V_IT);
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const OsdCudaTable * V_W = context->GetTable(Table::V_W);
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assert(V_ITa);
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assert(V_IT);
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assert(V_W);
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OsdCudaComputeLoopVertexB(
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context->GetCurrentVertexBuffer(),
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context->GetCurrentVaryingBuffer(),
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context->GetCurrentVertexNumElements()-3,
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context->GetCurrentVaryingNumElements(),
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static_cast<int*>(V_ITa->GetCudaMemory()),
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static_cast<int*>(V_IT->GetCudaMemory()),
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static_cast<float*>(V_W->GetCudaMemory()),
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batch.vertexOffset, batch.tableOffset, batch.start, batch.end);
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}
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void
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OsdCudaComputeController::ApplyLoopVertexVerticesKernelA1(
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FarKernelBatch const &batch, void * clientdata) const {
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OsdCudaComputeContext * context =
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static_cast<OsdCudaComputeContext*>(clientdata);
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assert(context);
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const OsdCudaTable * V_ITa = context->GetTable(Table::V_ITa);
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const OsdCudaTable * V_W = context->GetTable(Table::V_W);
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assert(V_ITa);
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assert(V_W);
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OsdCudaComputeVertexA(
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context->GetCurrentVertexBuffer(),
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context->GetCurrentVaryingBuffer(),
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context->GetCurrentVertexNumElements()-3,
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context->GetCurrentVaryingNumElements(),
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static_cast<int*>(V_ITa->GetCudaMemory()),
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static_cast<float*>(V_W->GetCudaMemory()),
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batch.vertexOffset, batch.tableOffset, batch.start, batch.end, false);
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}
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void
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OsdCudaComputeController::ApplyLoopVertexVerticesKernelA2(
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FarKernelBatch const &batch, void * clientdata) const {
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OsdCudaComputeContext * context =
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static_cast<OsdCudaComputeContext*>(clientdata);
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assert(context);
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const OsdCudaTable * V_ITa = context->GetTable(Table::V_ITa);
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const OsdCudaTable * V_W = context->GetTable(Table::V_W);
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assert(V_ITa);
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assert(V_W);
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OsdCudaComputeVertexA(
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context->GetCurrentVertexBuffer(),
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context->GetCurrentVaryingBuffer(),
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context->GetCurrentVertexNumElements()-3,
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context->GetCurrentVaryingNumElements(),
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static_cast<int*>(V_ITa->GetCudaMemory()),
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static_cast<float*>(V_W->GetCudaMemory()),
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batch.vertexOffset, batch.tableOffset, batch.start, batch.end, true);
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}
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void
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OsdCudaComputeController::ApplyVertexEdits(
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FarKernelBatch const &batch, void * clientdata) const {
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OsdCudaComputeContext * context =
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static_cast<OsdCudaComputeContext*>(clientdata);
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assert(context);
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const OsdCudaHEditTable *edit = context->GetEditTable(batch.tableIndex);
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assert(edit);
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const OsdCudaTable * primvarIndices = edit->GetPrimvarIndices();
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const OsdCudaTable * editValues = edit->GetEditValues();
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if (edit->GetOperation() == FarVertexEdit::Add) {
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OsdCudaEditVertexAdd(
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context->GetCurrentVertexBuffer(),
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context->GetCurrentVertexNumElements()-3,
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edit->GetPrimvarOffset(),
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edit->GetPrimvarWidth(),
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batch.vertexOffset,
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batch.tableOffset,
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batch.start,
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batch.end,
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static_cast<int*>(primvarIndices->GetCudaMemory()),
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static_cast<float*>(editValues->GetCudaMemory()));
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} else if (edit->GetOperation() == FarVertexEdit::Set) {
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// XXXX TODO
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}
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}
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void
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OsdCudaComputeController::Synchronize() {
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cudaThreadSynchronize();
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}
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} // end namespace OPENSUBDIV_VERSION
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} // end namespace OpenSubdiv
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