#ifndef TENSORFLOW_STREAM_EXECUTOR_PLATFORM_DEFAULT_MUTEX_H_ #define TENSORFLOW_STREAM_EXECUTOR_PLATFORM_DEFAULT_MUTEX_H_ #include // NOLINT #include // NOLINT #include "tensorflow/stream_executor/platform/port.h" // std::shared_timed_mutex is a C++14 feature. #if (__cplusplus >= 201402L) #define STREAM_EXECUTOR_USE_SHARED_MUTEX #endif // __cplusplus >= 201402L #ifdef STREAM_EXECUTOR_USE_SHARED_MUTEX #include // NOLINT #else #include // NOLINT #endif namespace perftools { namespace gputools { enum ConditionResult { kCond_Timeout, kCond_MaybeNotified }; #ifdef STREAM_EXECUTOR_USE_SHARED_MUTEX typedef std::shared_timed_mutex BaseMutex; #else typedef std::mutex BaseMutex; #endif // A class that wraps around the std::mutex implementation, only adding an // additional LinkerInitialized constructor interface. class mutex : public BaseMutex { public: mutex() {} // The default implementation of std::mutex is safe to use after the linker // initializations explicit mutex(LinkerInitialized x) {} }; typedef std::unique_lock mutex_lock; #ifdef STREAM_EXECUTOR_USE_SHARED_MUTEX typedef std::shared_lock shared_lock; #else typedef std::unique_lock shared_lock; #endif using std::condition_variable; inline ConditionResult WaitForMilliseconds(mutex_lock* mu, condition_variable* cv, int64 ms) { std::cv_status s = cv->wait_for(*mu, std::chrono::milliseconds(ms)); return (s == std::cv_status::timeout) ? kCond_Timeout : kCond_MaybeNotified; } } // namespace gputools } // namespace perftools #endif // TENSORFLOW_STREAM_EXECUTOR_PLATFORM_DEFAULT_MUTEX_H_