From 5307bc10ac488261e84ac76b2dede6039ea3fe96 Mon Sep 17 00:00:00 2001
From: telsoa01 <telmo.soares@arm.com>
Date: Fri, 9 Mar 2018 13:51:08 +0000
Subject: Release 18.02

Change-Id: I41a89c149534a7c354a58e2c66a32cba572fc0c1
---
 ArmnnPreparedModel.hpp | 83 ++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 83 insertions(+)
 create mode 100644 ArmnnPreparedModel.hpp

(limited to 'ArmnnPreparedModel.hpp')

diff --git a/ArmnnPreparedModel.hpp b/ArmnnPreparedModel.hpp
new file mode 100644
index 00000000..f61d56ce
--- /dev/null
+++ b/ArmnnPreparedModel.hpp
@@ -0,0 +1,83 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+
+#pragma once
+
+#include "RequestThread.hpp"
+
+#include "HalInterfaces.h"
+#include "NeuralNetworks.h"
+#include <armnn/ArmNN.hpp>
+
+#include <string>
+#include <vector>
+
+namespace armnn_driver
+{
+
+class ArmnnPreparedModel : public IPreparedModel
+{
+public:
+    ArmnnPreparedModel(armnn::NetworkId networkId,
+                       armnn::IRuntime* runtime,
+                       const Model& model,
+                       const std::string& requestInputsAndOutputsDumpDir);
+
+    virtual ~ArmnnPreparedModel();
+
+    virtual Return<ErrorStatus> execute(const Request& request,
+                                        const ::android::sp<IExecutionCallback>& callback) override;
+
+    /// execute the graph prepared from the request
+    void ExecuteGraph(std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>>& pMemPools,
+                      std::shared_ptr<armnn::InputTensors>& pInputTensors,
+                      std::shared_ptr<armnn::OutputTensors>& pOutputTensors,
+                      const ::android::sp<IExecutionCallback>& callback);
+
+    /// Executes this model with dummy inputs (e.g. all zeroes).
+    void ExecuteWithDummyInputs();
+
+private:
+
+    template <typename TensorBindingCollection>
+    void DumpTensorsIfRequired(char const* tensorNamePrefix, const TensorBindingCollection& tensorBindings);
+
+    armnn::NetworkId     m_NetworkId;
+    armnn::IRuntime*     m_Runtime;
+    Model                m_Model;
+    // There must be a single RequestThread for all ArmnnPreparedModel objects to ensure serial execution of workloads
+    // It is specific to this class, so it is declared as static here
+    static RequestThread m_RequestThread;
+    uint32_t             m_RequestCount;
+    const std::string&   m_RequestInputsAndOutputsDumpDir;
+};
+
+class AndroidNnCpuExecutorPreparedModel : public IPreparedModel
+{
+public:
+
+    AndroidNnCpuExecutorPreparedModel(const Model& model, const std::string& requestInputsAndOutputsDumpDir);
+    virtual ~AndroidNnCpuExecutorPreparedModel() { }
+
+    bool Initialize();
+
+    virtual Return<ErrorStatus> execute(const Request& request,
+                                        const ::android::sp<IExecutionCallback>& callback) override;
+
+private:
+
+    void DumpTensorsIfRequired(
+        char const* tensorNamePrefix,
+        const hidl_vec<uint32_t>& operandIndices,
+        const hidl_vec<RequestArgument>& requestArgs,
+        const std::vector<android::nn::RunTimePoolInfo>& requestPoolInfos);
+
+    Model m_Model;
+    std::vector<android::nn::RunTimePoolInfo> m_ModelPoolInfos;
+    const std::string& m_RequestInputsAndOutputsDumpDir;
+    uint32_t m_RequestCount;
+};
+
+}
-- 
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