169 lines
4.7 KiB
C++
169 lines
4.7 KiB
C++
/*
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* This program is free software; you can redistribute it and/or
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* modify it under the terms of the GNU General Public License
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* as published by the Free Software Foundation; either version 2
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* of the License, or (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program; if not, write to the Free Software Foundation,
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* Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
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*/
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/** \file
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* \ingroup bli
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*
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* Task parallel range functions.
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*/
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#include <cstdlib>
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#include "MEM_guardedalloc.h"
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#include "DNA_listBase.h"
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#include "BLI_task.h"
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#include "BLI_threads.h"
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#include "atomic_ops.h"
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#ifdef WITH_TBB
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/* Quiet top level deprecation message, unrelated to API usage here. */
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# define TBB_SUPPRESS_DEPRECATED_MESSAGES 1
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# include <tbb/tbb.h>
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#endif
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#ifdef WITH_TBB
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/* Functor for running TBB parallel_for and parallel_reduce. */
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struct RangeTask {
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TaskParallelRangeFunc func;
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void *userdata;
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const TaskParallelSettings *settings;
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void *userdata_chunk;
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/* Root constructor. */
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RangeTask(TaskParallelRangeFunc func, void *userdata, const TaskParallelSettings *settings)
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: func(func), userdata(userdata), settings(settings)
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{
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init_chunk(settings->userdata_chunk);
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}
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/* Copy constructor. */
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RangeTask(const RangeTask &other)
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: func(other.func), userdata(other.userdata), settings(other.settings)
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{
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init_chunk(settings->userdata_chunk);
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}
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/* Splitting constructor for parallel reduce. */
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RangeTask(RangeTask &other, tbb::split /* unused */)
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: func(other.func), userdata(other.userdata), settings(other.settings)
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{
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init_chunk(settings->userdata_chunk);
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}
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~RangeTask()
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{
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if (settings->func_free != nullptr) {
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settings->func_free(userdata, userdata_chunk);
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}
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MEM_SAFE_FREE(userdata_chunk);
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}
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void init_chunk(void *from_chunk)
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{
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if (from_chunk) {
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userdata_chunk = MEM_mallocN(settings->userdata_chunk_size, "RangeTask");
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memcpy(userdata_chunk, from_chunk, settings->userdata_chunk_size);
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}
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else {
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userdata_chunk = nullptr;
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}
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}
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void operator()(const tbb::blocked_range<int> &r) const
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{
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tbb::this_task_arena::isolate([this, r] {
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TaskParallelTLS tls;
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tls.userdata_chunk = userdata_chunk;
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for (int i = r.begin(); i != r.end(); ++i) {
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func(userdata, i, &tls);
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}
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});
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}
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void join(const RangeTask &other)
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{
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settings->func_reduce(userdata, userdata_chunk, other.userdata_chunk);
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}
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};
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#endif
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void BLI_task_parallel_range(const int start,
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const int stop,
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void *userdata,
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TaskParallelRangeFunc func,
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const TaskParallelSettings *settings)
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{
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#ifdef WITH_TBB
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/* Multithreading. */
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if (settings->use_threading && BLI_task_scheduler_num_threads() > 1) {
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RangeTask task(func, userdata, settings);
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const size_t grainsize = MAX2(settings->min_iter_per_thread, 1);
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const tbb::blocked_range<int> range(start, stop, grainsize);
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if (settings->func_reduce) {
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parallel_reduce(range, task);
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if (settings->userdata_chunk) {
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memcpy(settings->userdata_chunk, task.userdata_chunk, settings->userdata_chunk_size);
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}
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}
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else {
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parallel_for(range, task);
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}
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return;
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}
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#endif
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/* Single threaded. Nothing to reduce as everything is accumulated into the
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* main userdata chunk directly. */
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TaskParallelTLS tls;
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tls.userdata_chunk = settings->userdata_chunk;
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for (int i = start; i < stop; i++) {
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func(userdata, i, &tls);
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}
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if (settings->func_free != nullptr) {
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settings->func_free(userdata, settings->userdata_chunk);
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}
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}
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int BLI_task_parallel_thread_id(const TaskParallelTLS *UNUSED(tls))
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{
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#ifdef WITH_TBB
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/* Get a unique thread ID for texture nodes. In the future we should get rid
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* of the thread ID and change texture evaluation to not require per-thread
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* storage that can't be efficiently allocated on the stack. */
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static tbb::enumerable_thread_specific<int> tbb_thread_id(-1);
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static int tbb_thread_id_counter = 0;
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int &thread_id = tbb_thread_id.local();
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if (thread_id == -1) {
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thread_id = atomic_fetch_and_add_int32(&tbb_thread_id_counter, 1);
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if (thread_id >= BLENDER_MAX_THREADS) {
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BLI_assert(!"Maximum number of threads exceeded for sculpting");
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thread_id = thread_id % BLENDER_MAX_THREADS;
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}
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}
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return thread_id;
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#else
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return 0;
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#endif
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}
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