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2d465e4d1d
Very similar to https://github.com/pytorch/pytorch/pull/136793, but adds back `pool->set_thread_count` call as it is still necessary (I am guessing due to the mutex) Fixes #ISSUE_NUMBER Pull Request resolved: https://github.com/pytorch/pytorch/pull/137051 Approved by: https://github.com/albanD
56 lines
1.4 KiB
C++
56 lines
1.4 KiB
C++
#pragma once
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#ifdef USE_PTHREADPOOL
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#ifdef USE_INTERNAL_PTHREADPOOL_IMPL
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#include <caffe2/utils/threadpool/pthreadpool.h>
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#else
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#include <pthreadpool.h>
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#endif
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#include <functional>
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#include <memory>
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#include <mutex>
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namespace caffe2 {
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class PThreadPool final {
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public:
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explicit PThreadPool(size_t thread_count);
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~PThreadPool() = default;
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PThreadPool(const PThreadPool&) = delete;
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PThreadPool& operator=(const PThreadPool&) = delete;
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PThreadPool(PThreadPool&&) = delete;
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PThreadPool& operator=(PThreadPool&&) = delete;
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size_t get_thread_count() const;
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void set_thread_count(size_t thread_count);
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// Run, in parallel, function fn(task_id) over task_id in range [0, range).
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// This function is blocking. All input is processed by the time it returns.
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void run(const std::function<void(size_t)>& fn, size_t range);
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private:
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friend pthreadpool_t pthreadpool_();
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private:
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mutable std::mutex mutex_;
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std::unique_ptr<pthreadpool, decltype(&pthreadpool_destroy)> threadpool_;
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};
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// Return a singleton instance of PThreadPool for ATen/TH multithreading.
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PThreadPool* pthreadpool();
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PThreadPool* pthreadpool(size_t thread_count);
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// Exposes the underlying implementation of PThreadPool.
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// Only for use in external libraries so as to unify threading across
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// internal (i.e. ATen, etc.) and external (e.g. NNPACK, QNNPACK, XNNPACK)
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// use cases.
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pthreadpool_t pthreadpool_();
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} // namespace caffe2
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#endif /* USE_PTHREADPOOL */
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