1 files changed, 106 insertions, 0 deletions
diff --git a/RequestThread_1_3.hpp b/RequestThread_1_3.hpp
new file mode 100644
index 00000000..c8abc5e5
--- /dev/null
+++ b/RequestThread_1_3.hpp
@@ -0,0 +1,106 @@
+//
+// Copyright © 2020 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include <queue>
+#include <thread>
+#include <mutex>
+#include <condition_variable>
+
+#include "ArmnnDriver.hpp"
+#include "ArmnnDriverImpl.hpp"
+
+#include <CpuExecutor.h>
+#include <armnn/ArmNN.hpp>
+
+namespace armnn_driver
+{
+using TimePoint = std::chrono::steady_clock::time_point;
+
+template<template <typename HalVersion> class PreparedModel, typename HalVersion, typename CallbackContext>
+class RequestThread_1_3
+{
+public:
+    /// Constructor creates the thread
+    RequestThread_1_3();
+
+    /// Destructor terminates the thread
+    ~RequestThread_1_3();
+
+    /// Add a message to the thread queue.
+    /// @param[in] model pointer to the prepared model handling the request
+    /// @param[in] memPools pointer to the memory pools vector for the tensors
+    /// @param[in] inputTensors pointer to the input tensors for the request
+    /// @param[in] outputTensors pointer to the output tensors for the request
+    /// @param[in] callback the android notification callback
+    void PostMsg(PreparedModel<HalVersion>* model,
+                 std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>>& memPools,
+                 std::shared_ptr<armnn::InputTensors>& inputTensors,
+                 std::shared_ptr<armnn::OutputTensors>& outputTensors,
+                 CallbackContext callbackContext);
+
+private:
+    RequestThread_1_3(const RequestThread_1_3&) = delete;
+    RequestThread_1_3& operator=(const RequestThread_1_3&) = delete;
+
+    /// storage for a prepared model and args for the asyncExecute call
+    struct AsyncExecuteData
+    {
+        AsyncExecuteData(PreparedModel<HalVersion>* model,
+                         std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>>& memPools,
+                         std::shared_ptr<armnn::InputTensors>& inputTensors,
+                         std::shared_ptr<armnn::OutputTensors>& outputTensors,
+                         CallbackContext callbackContext)
+            : m_Model(model)
+            , m_MemPools(memPools)
+            , m_InputTensors(inputTensors)
+            , m_OutputTensors(outputTensors)
+            , m_CallbackContext(callbackContext)
+        {
+        }
+
+        PreparedModel<HalVersion>* m_Model;
+        std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>> m_MemPools;
+        std::shared_ptr<armnn::InputTensors> m_InputTensors;
+        std::shared_ptr<armnn::OutputTensors> m_OutputTensors;
+        CallbackContext m_CallbackContext;
+    };
+    enum class ThreadMsgType
+    {
+        EXIT,                   // exit the thread
+        REQUEST                 // user request to process
+    };
+
+    /// storage for the thread message type and data
+    struct ThreadMsg
+    {
+        ThreadMsg(ThreadMsgType msgType,
+                  std::shared_ptr<AsyncExecuteData>& msgData)
+            : type(msgType)
+            , data(msgData)
+        {
+        }
+
+        ThreadMsgType type;
+        std::shared_ptr<AsyncExecuteData> data;
+    };
+
+    /// Add a prepared thread message to the thread queue.
+    /// @param[in] threadMsg the message to add to the queue
+    void PostMsg(std::shared_ptr<ThreadMsg>& pThreadMsg, V1_3::Priority priority = V1_3::Priority::MEDIUM);
+
+    /// Entry point for the request thread
+    void Process();
+
+    std::unique_ptr<std::thread> m_Thread;
+    std::queue<std::shared_ptr<ThreadMsg>> m_HighPriorityQueue;
+    std::queue<std::shared_ptr<ThreadMsg>> m_MediumPriorityQueue;
+    std::queue<std::shared_ptr<ThreadMsg>> m_LowPriorityQueue;
+    std::mutex m_Mutex;
+    std::condition_variable m_Cv;
+};
+
+} // namespace armnn_driver