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+#ifndef TENSORFLOW_LIB_CORE_THREADPOOL_H_
+#define TENSORFLOW_LIB_CORE_THREADPOOL_H_
+
+#include <deque>
+#include <functional>
+#include <thread>
+#include <vector>
+#include "tensorflow/core/platform/port.h"
+#include "tensorflow/core/public/env.h"
+
+namespace tensorflow {
+namespace thread {
+
+class ThreadPool {
+ public:
+ // Construct a pool that contains "num_threads" threads with specified "name".
+ // env->StartThread() is used to create individual threads.
+ //
+ // REQUIRES: num_threads > 0
+ ThreadPool(Env* env, const string& name, int num_threads);
+
+ // Construct a pool that contains "num_threads" threads with specified "name".
+ // env->StartThread() is used to create individual threads.
+ //
+ // REQUIRES: num_threads > 0
+ ThreadPool(Env* env, const ThreadOptions& thread_options, const string& name,
+ int num_threads);
+
+ // Wait until all scheduled work has finished and then destroy the
+ // set of threads.
+ virtual ~ThreadPool();
+
+ // Schedule fn() for execution in the pool of threads.
+ virtual void Schedule(std::function<void()> fn);
+
+ virtual bool HasPendingClosures() const;
+
+ private:
+ struct Waiter;
+ struct Item {
+ std::function<void()> fn;
+ uint64 id;
+ };
+
+ void WorkerLoop();
+
+ const string name_;
+ mutable mutex mu_;
+ std::vector<Thread*> threads_; // All threads
+ std::vector<Waiter*> waiters_; // Stack of waiting threads.
+ std::deque<Item> pending_; // Queue of pending work
+
+ TF_DISALLOW_COPY_AND_ASSIGN(ThreadPool);
+};
+
+} // namespace thread
+} // namespace tensorflow
+
+#endif // TENSORFLOW_LIB_CORE_THREADPOOL_H_