ai-content-maker/.venv/Lib/site-packages/torch/include/c10/util/CallOnce.h

68 lines
1.9 KiB
C++

#pragma once
#include <atomic>
#include <mutex>
#include <utility>
#include <c10/macros/Macros.h>
#include <c10/util/C++17.h>
namespace c10 {
// custom c10 call_once implementation to avoid the deadlock in std::call_once.
// The implementation here is a simplified version from folly and likely much
// much higher memory footprint.
template <typename Flag, typename F, typename... Args>
inline void call_once(Flag& flag, F&& f, Args&&... args) {
if (C10_LIKELY(flag.test_once())) {
return;
}
flag.call_once_slow(std::forward<F>(f), std::forward<Args>(args)...);
}
class once_flag {
public:
#ifndef _WIN32
// running into build error on MSVC. Can't seem to get a repro locally so I'm
// just avoiding constexpr
//
// C:/actions-runner/_work/pytorch/pytorch\c10/util/CallOnce.h(26): error:
// defaulted default constructor cannot be constexpr because the
// corresponding implicitly declared default constructor would not be
// constexpr 1 error detected in the compilation of
// "C:/actions-runner/_work/pytorch/pytorch/aten/src/ATen/cuda/cub.cu".
constexpr
#endif
once_flag() noexcept = default;
once_flag(const once_flag&) = delete;
once_flag& operator=(const once_flag&) = delete;
private:
template <typename Flag, typename F, typename... Args>
friend void call_once(Flag& flag, F&& f, Args&&... args);
template <typename F, typename... Args>
void call_once_slow(F&& f, Args&&... args) {
std::lock_guard<std::mutex> guard(mutex_);
if (init_.load(std::memory_order_relaxed)) {
return;
}
c10::guts::invoke(std::forward<F>(f), std::forward<Args>(args)...);
init_.store(true, std::memory_order_release);
}
bool test_once() {
return init_.load(std::memory_order_acquire);
}
void reset_once() {
init_.store(false, std::memory_order_release);
}
private:
std::mutex mutex_;
std::atomic<bool> init_{false};
};
} // namespace c10