loops.h

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//
// Copyright 2016 Pixar
//
// Licensed under the Apache License, Version 2.0 (the "Apache License")
// with the following modification; you may not use this file except in
// compliance with the Apache License and the following modification to it:
// Section 6. Trademarks. is deleted and replaced with:
//
// 6. Trademarks. This License does not grant permission to use the trade
//    names, trademarks, service marks, or product names of the Licensor
//    and its affiliates, except as required to comply with Section 4(c) of
//    the License and to reproduce the content of the NOTICE file.
//
// You may obtain a copy of the Apache License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the Apache License with the above modification is
// distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied. See the Apache License for the specific
// language governing permissions and limitations under the Apache License.
//
#ifndef PXR_BASE_WORK_LOOPS_H
#define PXR_BASE_WORK_LOOPS_H
 
#include "pxr/pxr.h"
#include "pxr/base/work/threadLimits.h"
#include "pxr/base/work/api.h"
 
#include <tbb/blocked_range.h>
#include <tbb/parallel_for.h>
#include <tbb/parallel_for_each.h>
#include <tbb/task_group.h>
 
PXR_NAMESPACE_OPEN_SCOPE
 
template<typename Fn>
void
WorkSerialForN(size_t n, Fn &&fn)
{
    std::forward<Fn>(fn)(0, n);
}
 
template <typename Fn>
void
WorkParallelForN(size_t n, Fn &&callback, size_t grainSize)
{
    if (n == 0)
        return;
 
    // Don't bother with parallel_for, if concurrency is limited to 1.
    if (WorkHasConcurrency()) {
 
        class Work_ParallelForN_TBB 
        {
        public:
            Work_ParallelForN_TBB(Fn &fn) : _fn(fn) { }
 
            void operator()(const tbb::blocked_range<size_t> &r) const {
                // Note that we std::forward _fn using Fn in order get the
                // right operator().
                // We maintain the right type in this way:
                //  If Fn is T&, then reference collapsing gives us T& for _fn 
                //  If Fn is T, then std::forward correctly gives us T&& for _fn
                std::forward<Fn>(_fn)(r.begin(), r.end());
            }
 
        private:
            Fn &_fn;
        };
 
        // In most cases we do not want to inherit cancellation state from the
        // parent context, so we create an isolated task group context.
        tbb::task_group_context ctx(tbb::task_group_context::isolated);
        tbb::parallel_for(tbb::blocked_range<size_t>(0,n,grainSize),
            Work_ParallelForN_TBB(callback),
            ctx);
 
    } else {
 
        // If concurrency is limited to 1, execute serially.
        WorkSerialForN(n, std::forward<Fn>(callback));
 
    }
}
 
template <typename Fn>
void
WorkParallelForN(size_t n, Fn &&callback)
{
    WorkParallelForN(n, std::forward<Fn>(callback), 1);
}
 
template <typename InputIterator, typename Fn>
inline void
WorkParallelForEach(
    InputIterator first, InputIterator last, Fn &&fn)
{
    tbb::task_group_context ctx(tbb::task_group_context::isolated);
    tbb::parallel_for_each(first, last, std::forward<Fn>(fn), ctx);
}
 
PXR_NAMESPACE_CLOSE_SCOPE
 
#endif // PXR_BASE_WORK_LOOPS_H