ArmnnPreparedModel.hpp

//
// 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 "ArmnnDriver.hpp"

#include <string>
#include <vector>

namespace armnn_driver
{

class ArmnnPreparedModel : public IPreparedModel
{
public:
    ArmnnPreparedModel(armnn::NetworkId networkId,
                       armnn::IRuntime* runtime,
                       const V1_0::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;
    V1_0::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 V1_0::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);

    V1_0::Model m_Model;
    std::vector<android::nn::RunTimePoolInfo> m_ModelPoolInfos;
    const std::string& m_RequestInputsAndOutputsDumpDir;
    uint32_t m_RequestCount;
};

}