mirror of
https://github.com/PixarAnimationStudios/OpenSubdiv
synced 2024-12-13 04:20:10 +00:00
0ff7b15711
- make sure we don't get conflicting enums (CODE_ERROR) - fix template specialization for Far::TopologyRefinerFactory in regression/common/vtr_utils - fix remaining error reporting code around osd
266 lines
8.4 KiB
C++
266 lines
8.4 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/clComputeController.h"
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#include "../far/error.h"
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#if defined(_WIN32)
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#include <windows.h>
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#endif
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#include <algorithm>
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#include <string.h>
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#include <sstream>
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namespace OpenSubdiv {
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namespace OPENSUBDIV_VERSION {
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namespace Osd {
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static const char *clSource =
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#include "clKernel.gen.h"
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;
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// -----------------------------------------------------------------------------
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static cl_kernel buildKernel(cl_program prog, const char * name) {
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cl_int errNum;
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cl_kernel k = clCreateKernel(prog, name, &errNum);
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if (errNum != CL_SUCCESS) {
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Far::Error(Far::FAR_RUNTIME_ERROR, "buildKernel '%s' (%d)\n", name, errNum);
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}
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return k;
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}
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// -----------------------------------------------------------------------------
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class CLComputeController::KernelBundle :
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NonCopyable<CLComputeController::KernelBundle> {
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public:
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bool Compile(cl_context clContext, VertexBufferDescriptor const & desc) {
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cl_int errNum;
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_desc = VertexBufferDescriptor(0, desc.length, desc.stride);
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std::ostringstream defines;
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defines << "#define OFFSET " << _desc.offset << "\n"
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<< "#define LENGTH " << _desc.length << "\n"
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<< "#define STRIDE " << _desc.stride << "\n";
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std::string defineStr = defines.str();
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const char *sources[] = { defineStr.c_str(), clSource };
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_program = clCreateProgramWithSource(clContext, 2, sources, 0, &errNum);
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if (errNum!=CL_SUCCESS) {
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Far::Error(Far::FAR_RUNTIME_ERROR,
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"clCreateProgramWithSource (%d)", errNum);
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}
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errNum = clBuildProgram(_program, 0, NULL, NULL, NULL, NULL);
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if (errNum != CL_SUCCESS) {
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Far::Error(Far::FAR_RUNTIME_ERROR, "clBuildProgram (%d) \n", errNum);
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cl_int numDevices = 0;
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clGetContextInfo(clContext,
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CL_CONTEXT_NUM_DEVICES, sizeof(cl_uint), &numDevices, NULL);
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cl_device_id *devices = new cl_device_id[numDevices];
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clGetContextInfo(clContext, CL_CONTEXT_DEVICES,
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sizeof(cl_device_id)*numDevices, devices, NULL);
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for (int i = 0; i < numDevices; ++i) {
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char cBuildLog[10240];
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clGetProgramBuildInfo(_program, devices[i],
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CL_PROGRAM_BUILD_LOG, sizeof(cBuildLog), cBuildLog, NULL);
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Far::Error(Far::FAR_RUNTIME_ERROR, cBuildLog);
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}
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delete[] devices;
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return false;
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}
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// compile all cl compute kernels
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_stencilsKernel = buildKernel(_program, "computeStencils");
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return true;
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}
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cl_kernel GetStencilsKernel() const {
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return _stencilsKernel;
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}
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struct Match {
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Match(VertexBufferDescriptor const & d) : desc(d) { }
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bool operator() (KernelBundle const * kernel) {
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return (desc.length==kernel->_desc.length and
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desc.stride==kernel->_desc.stride);
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}
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VertexBufferDescriptor desc;
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};
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private:
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cl_program _program;
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cl_kernel _stencilsKernel;
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VertexBufferDescriptor _desc;
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};
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// ----------------------------------------------------------------------------
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void
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CLComputeController::ApplyStencilTableKernel(
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Far::KernelBatch const &batch, ComputeContext const *context) {
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assert(context);
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cl_int errNum;
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size_t globalWorkSize[1] = { (size_t)(batch.end - batch.start) };
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int ncvs = context->GetNumControlVertices();
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if (context->HasVertexStencilTables()) {
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KernelBundle const * bundle = getKernel(_currentBindState.vertexDesc);
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cl_kernel kernel = bundle->GetStencilsKernel();
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cl_mem sizes = context->GetVertexStencilTablesSizes(),
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offsets = context->GetVertexStencilTablesOffsets(),
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indices = context->GetVertexStencilTablesIndices(),
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weights = context->GetVertexStencilTablesWeights();
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clSetKernelArg(kernel, 0, sizeof(cl_mem), &_currentBindState.vertexBuffer);
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clSetKernelArg(kernel, 1, sizeof(cl_mem), &sizes);
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clSetKernelArg(kernel, 2, sizeof(cl_mem), &offsets);
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clSetKernelArg(kernel, 3, sizeof(cl_mem), &indices);
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clSetKernelArg(kernel, 4, sizeof(cl_mem), &weights);
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clSetKernelArg(kernel, 5, sizeof(int), &batch.start);
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clSetKernelArg(kernel, 6, sizeof(int), &batch.end);
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clSetKernelArg(kernel, 7, sizeof(int), &_currentBindState.vertexDesc.offset);
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clSetKernelArg(kernel, 8, sizeof(int), &ncvs);
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errNum = clEnqueueNDRangeKernel(
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_clQueue, kernel, 1, NULL, globalWorkSize, NULL, 0, NULL, NULL);
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if (errNum!=CL_SUCCESS) {
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Far::Error(Far::FAR_RUNTIME_ERROR,
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"ApplyStencilTableKernel (%d) ", errNum);
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}
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}
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if (context->HasVaryingStencilTables()) {
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KernelBundle const * bundle = getKernel(_currentBindState.varyingDesc);
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cl_kernel kernel = bundle->GetStencilsKernel();
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cl_mem sizes = context->GetVaryingStencilTablesSizes(),
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offsets = context->GetVaryingStencilTablesOffsets(),
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indices = context->GetVaryingStencilTablesIndices(),
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weights = context->GetVaryingStencilTablesWeights();
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clSetKernelArg(kernel, 0, sizeof(cl_mem), &_currentBindState.varyingBuffer);
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clSetKernelArg(kernel, 1, sizeof(cl_mem), &sizes);
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clSetKernelArg(kernel, 2, sizeof(cl_mem), &offsets);
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clSetKernelArg(kernel, 3, sizeof(cl_mem), &indices);
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clSetKernelArg(kernel, 4, sizeof(cl_mem), &weights);
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clSetKernelArg(kernel, 5, sizeof(int), &batch.start);
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clSetKernelArg(kernel, 6, sizeof(int), &batch.end);
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clSetKernelArg(kernel, 7, sizeof(int), &_currentBindState.varyingDesc.offset);
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clSetKernelArg(kernel, 8, sizeof(int), &ncvs);
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errNum = clEnqueueNDRangeKernel(
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_clQueue, kernel, 1, NULL, globalWorkSize, NULL, 0, NULL, NULL);
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if (errNum!=CL_SUCCESS) {
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Far::Error(Far::FAR_RUNTIME_ERROR,
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"ApplyStencilTableKernel (%d)", errNum);
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}
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}
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}
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// ----------------------------------------------------------------------------
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CLComputeController::KernelBundle const *
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CLComputeController::getKernel(VertexBufferDescriptor const &desc) {
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KernelRegistry::iterator it =
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std::find_if(_kernelRegistry.begin(), _kernelRegistry.end(),
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KernelBundle::Match(desc));
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if (it != _kernelRegistry.end()) {
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return *it;
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} else {
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KernelBundle * kernelBundle = new KernelBundle();
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kernelBundle->Compile(_clContext, desc);
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_kernelRegistry.push_back(kernelBundle);
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return kernelBundle;
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}
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}
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// ----------------------------------------------------------------------------
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CLComputeController::CLComputeController(
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cl_context clContext, cl_command_queue queue) :
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_clContext(clContext), _clQueue(queue) {
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}
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CLComputeController::~CLComputeController() {
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for (KernelRegistry::iterator it = _kernelRegistry.begin();
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it != _kernelRegistry.end(); ++it) {
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delete *it;
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}
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}
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// ----------------------------------------------------------------------------
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void
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CLComputeController::Synchronize() {
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clFinish(_clQueue);
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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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