Loading...
Searching...
No Matches
parallel_for.h
/*
Copyright (c) 2016, Taiga Nomi
All rights reserved.
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 the <organization> 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 HOLDER 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.
*/
#pragma once
#include <vector>
#include <type_traits>
#include <limits>
#include <cassert>
#include <cstdio>
#include <string>
#include "aligned_allocator.h"
#include "nn_error.h"
#include "tiny_dnn/config.h"
#ifdef CNN_USE_TBB
#ifndef NOMINMAX
#define NOMINMAX // tbb includes windows.h in tbb/machine/windows_api.h
#endif
#include <tbb/tbb.h>
#include <tbb/task_group.h>
#endif
#ifndef CNN_USE_OMP
#include <thread>
#include <future>
#endif
namespace tiny_dnn {
#ifdef CNN_USE_TBB
static tbb::task_scheduler_init tbbScheduler(tbb::task_scheduler_init::automatic);//tbb::task_scheduler_init::deferred);
typedef tbb::blocked_range<int> blocked_range;
template<typename Func>
void parallel_for(int begin, int end, const Func& f, int grainsize) {
tbb::parallel_for(blocked_range(begin, end, end - begin > grainsize ? grainsize : 1), f);
}
template<typename Func>
void xparallel_for(int begin, int end, const Func& f) {
f(blocked_range(begin, end, 100));
}
#else
struct blocked_range {
typedef int const_iterator;
blocked_range(int begin, int end) : begin_(begin), end_(end) {}
blocked_range(size_t begin, size_t end) : begin_(static_cast<int>(begin)), end_(static_cast<int>(end)) {}
const_iterator begin() const { return begin_; }
const_iterator end() const { return end_; }
private:
int begin_;
int end_;
};
template<typename Func>
void xparallel_for(size_t begin, size_t end, const Func& f) {
blocked_range r(begin, end);
f(r);
}
#if defined(CNN_USE_OMP)
template<typename Func>
void parallel_for(int begin, int end, const Func& f, int /*grainsize*/) {
#pragma omp parallel for
for (int i=begin; i<end; ++i)
f(blocked_range(i,i+1));
}
#elif defined(CNN_SINGLE_THREAD)
template<typename Func>
void parallel_for(int begin, int end, const Func& f, int /*grainsize*/) {
xparallel_for(static_cast<size_t>(begin), static_cast<size_t>(end), f);
}
#else
template<typename Func>
void parallel_for(int start, int end, const Func &f, int /*grainsize*/) {
int nthreads = std::thread::hardware_concurrency();
int blockSize = (end - start) / nthreads;
if (blockSize*nthreads < end - start)
blockSize++;
std::vector<std::future<void>> futures;
int blockStart = start;
int blockEnd = blockStart + blockSize;
if (blockEnd > end) blockEnd = end;
for (int i = 0; i < nthreads; i++) {
futures.push_back(std::move(std::async(std::launch::async, [blockStart, blockEnd, &f] {
f(blocked_range(blockStart, blockEnd));
})));
blockStart += blockSize;
blockEnd = blockStart + blockSize;
if (blockStart >= end) break;
if (blockEnd > end) blockEnd = end;
}
for (auto &future : futures)
future.wait();
}
#endif
#endif // CNN_USE_TBB
template<typename T, typename U>
bool value_representation(U const &value) {
return static_cast<U>(static_cast<T>(value)) == value;
}
template<typename T, typename Func>
inline
void for_(std::true_type, bool parallelize, int begin, T end, Func f, int grainsize = 100){
parallelize = parallelize && value_representation<int>(end);
parallelize ? parallel_for(begin, static_cast<int>(end), f, grainsize) :
xparallel_for(begin, static_cast<int>(end), f);
}
template<typename T, typename Func>
inline
void for_(std::false_type, bool parallelize, int begin, T end, Func f, int grainsize = 100){
parallelize ? parallel_for(begin, static_cast<int>(end), f, grainsize) : xparallel_for(begin, end, f);
}
template<typename T, typename Func>
inline
void for_(bool parallelize, int begin, T end, Func f, int grainsize = 100) {
static_assert(std::is_integral<T>::value, "end must be integral type");
for_(typename std::is_unsigned<T>::type(), parallelize, begin, end, f, grainsize);
}
template <typename T, typename Func>
void for_i(bool parallelize, T size, Func f, int grainsize = 100)
{
for_(parallelize, 0, size, [&](const blocked_range& r) {
#ifdef CNN_USE_OMP
#pragma omp parallel for
#endif
for (int i = r.begin(); i < r.end(); i++)
f(i);
}, grainsize);
}
template <typename T, typename Func>
void for_i(T size, Func f, int grainsize = 100) {
for_i(true, size, f, grainsize);
}
} // namespace tiny_dnn
tiny_dnn::image
Simple image utility class.
Definition image.h:94
tiny_dnn::blocked_range
Definition parallel_for.h:70