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// Ceres Solver - A fast non-linear least squares minimizer
// Copyright 2018 Google Inc. All rights reserved.
// http://ceres-solver.org/
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are met:
//
// * Redistributions of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
// * Redistributions in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
// * Neither the name of Google Inc. nor the names of its contributors may be
// used to endorse or promote products derived from this software without
// specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
// POSSIBILITY OF SUCH DAMAGE.
//
// Author: vitus@google.com (Michael Vitus)
#include <algorithm>
#include <atomic>
#include <cmath>
#include <condition_variable>
#include <memory>
#include <mutex>
#include <tuple>
#include "ceres/internal/config.h"
#include "ceres/parallel_for.h"
#include "glog/logging.h"
namespace ceres::internal {
BlockUntilFinished::BlockUntilFinished(int num_total_jobs)
: num_total_jobs_finished_(0), num_total_jobs_(num_total_jobs) {}
void BlockUntilFinished::Finished(int num_jobs_finished) {
if (num_jobs_finished == 0) return;
std::lock_guard<std::mutex> lock(mutex_);
num_total_jobs_finished_ += num_jobs_finished;
CHECK_LE(num_total_jobs_finished_, num_total_jobs_);
if (num_total_jobs_finished_ == num_total_jobs_) {
condition_.notify_one();
}
}
void BlockUntilFinished::Block() {
std::unique_lock<std::mutex> lock(mutex_);
condition_.wait(
lock, [&]() { return num_total_jobs_finished_ == num_total_jobs_; });
}
ThreadPoolState::ThreadPoolState(int start,
int end,
int num_work_blocks,
int num_workers)
: start(start),
end(end),
num_work_blocks(num_work_blocks),
base_block_size((end - start) / num_work_blocks),
num_base_p1_sized_blocks((end - start) % num_work_blocks),
block_id(0),
thread_id(0),
block_until_finished(num_work_blocks) {}
int MaxNumThreadsAvailable() { return ThreadPool::MaxNumThreadsAvailable(); }
void ParallelSetZero(ContextImpl* context,
int num_threads,
double* values,
int num_values) {
ParallelFor(context,
0,
num_values,
num_threads,
[values](std::tuple<int, int> range) {
auto [start, end] = range;
std::fill(values + start, values + end, 0.);
});
}
} // namespace ceres::internal