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+/*
+ * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef __NEURUN_EXEC_PARALLEL_SCHEDULER_H__
+#define __NEURUN_EXEC_PARALLEL_SCHEDULER_H__
+
+#include <unordered_map>
+#include <thread>
+#include <mutex>
+#include <condition_variable>
+#include <memory>
+#include <queue>
+#include <vector>
+#include <unordered_set>
+
+#include "exec/IFunction.h"
+#include "graph/BackendSet.h"
+
+namespace neurun
+{
+namespace exec
+{
+
+// TODO Extract this class to a separate file
+class WorkQueue
+{
+public:
+ enum class State
+ {
+ ONLINE,
+ FINISHING,
+ FORCE_FINISHING
+ };
+
+public:
+ /**
+ * @brief Create WorkQueue object
+ */
+ WorkQueue() = default;
+ /**
+ * @brief Destroy WorkQueue object
+ */
+ ~WorkQueue();
+ /**
+ * @brief Thread entry function
+ */
+ void operator()();
+ /**
+ * @brief Push the given Task to the job queue
+ *
+ * @param fn Function to be executed(a job)
+ */
+ void enqueue(std::unique_ptr<IFunction> &&fn);
+ /**
+ * @brief Flag as terminating so all the worker threads can terminate
+ */
+ void terminate();
+ /**
+ * @brief Flag as terminating so all the worker threads can terminate
+ */
+ void finish();
+ /**
+ * @brief Check if it has pending jobs. Even if this returns fals, WorkQueue threads may be still
+ * running
+ *
+ * @return true if the job queue not empty otherwise false
+ */
+ uint32_t numJobsInQueue();
+
+private:
+ State _state{State::ONLINE};
+ std::queue<std::unique_ptr<IFunction>> _functions;
+ std::mutex _mu;
+ std::condition_variable _cv;
+};
+
+// TODO Extract this class to a separate file
+class ThreadPool
+{
+public:
+ /**
+ * @brief Coustruct ThreadPool object
+ *
+ * @param num_threads Number of threads
+ */
+ ThreadPool(uint32_t num_threads = 1);
+ /**
+ * @brief Destroy ThreadPool object
+ */
+ ~ThreadPool();
+ /**
+ * @brief Enqueue a function
+ *
+ * @param fn A function to be queued
+ */
+ void enqueue(std::unique_ptr<IFunction> &&fn);
+ /**
+ * @brief Get number of jobs in worker's queue
+ *
+ * @return Number of jobs
+ */
+ uint32_t numJobsInQueue();
+
+ /**
+ * @brief Block until all jobs are finished
+ */
+ void finish();
+
+private:
+ void join();
+
+private:
+ WorkQueue _worker;
+ std::vector<std::thread> _threads;
+};
+
+class ParallelScheduler
+{
+public:
+ /**
+ * @brief Constructs ParallelScheduler object
+ *
+ * @param backends Backend set
+ */
+ ParallelScheduler(const graph::BackendSet &backends);
+ /**
+ * @brief Assign a task to the given backend
+ *
+ * @param[in] fn Function to be assigned
+ * @param[in] fn Target backend
+ */
+ void assign(std::unique_ptr<IFunction> &&fn, const backend::Backend *backend);
+ /**
+ * @brief Block until all jobs are finished
+ */
+ void finish();
+
+private:
+ std::unordered_map<const backend::Backend *, std::unique_ptr<ThreadPool>> _thread_pools;
+};
+
+} // namespace exec
+} // namespace neurun
+
+#endif // __NEURUN_EXEC_PARALLEL_SCHEDULER_H__