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Diffstat (limited to 'ArmnnPreparedModel_1_2.hpp')
-rw-r--r-- | ArmnnPreparedModel_1_2.hpp | 80 |
1 files changed, 80 insertions, 0 deletions
diff --git a/ArmnnPreparedModel_1_2.hpp b/ArmnnPreparedModel_1_2.hpp new file mode 100644 index 00000000..4e883b6b --- /dev/null +++ b/ArmnnPreparedModel_1_2.hpp @@ -0,0 +1,80 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#pragma once + +#include "ArmnnDriver.hpp" +#include "ArmnnDriverImpl.hpp" +#include "RequestThread.hpp" +#include "ModelToINetworkConverter.hpp" + +#include <NeuralNetworks.h> +#include <armnn/ArmNN.hpp> + +#include <string> +#include <vector> + +namespace armnn_driver +{ + +template <typename HalVersion> +class ArmnnPreparedModel_1_2 : public V1_2::IPreparedModel +{ +public: + using HalModel = typename V1_2::Model; + + ArmnnPreparedModel_1_2(armnn::NetworkId networkId, + armnn::IRuntime* runtime, + const HalModel& model, + const std::string& requestInputsAndOutputsDumpDir, + const bool gpuProfilingEnabled); + + virtual ~ArmnnPreparedModel_1_2(); + + virtual Return<ErrorStatus> execute(const Request& request, + const ::android::sp<V1_0::IExecutionCallback>& callback) override; + + virtual Return<ErrorStatus> execute_1_2(const Request& request, MeasureTiming measure, + const sp<V1_2::IExecutionCallback>& callback) override; + + virtual Return<void> executeSynchronously(const Request &request, + MeasureTiming measure, + V1_2::IPreparedModel::executeSynchronously_cb cb) override; + + virtual Return<void> configureExecutionBurst( + const sp<V1_2::IBurstCallback>& callback, + const android::hardware::MQDescriptorSync<V1_2::FmqRequestDatum>& requestChannel, + const android::hardware::MQDescriptorSync<V1_2::FmqResultDatum>& resultChannel, + configureExecutionBurst_cb cb) 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<V1_0::IExecutionCallback>& callback); + + /// Executes this model with dummy inputs (e.g. all zeroes). + /// \return false on failure, otherwise true + bool ExecuteWithDummyInputs(); + +private: + template <typename ExecutionCallback> + Return <ErrorStatus> Execute(const Request &request, const sp <ExecutionCallback> &callback); + + template <typename TensorBindingCollection> + void DumpTensorsIfRequired(char const* tensorNamePrefix, const TensorBindingCollection& tensorBindings); + + armnn::NetworkId m_NetworkId; + armnn::IRuntime* m_Runtime; + V1_2::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<ArmnnPreparedModel_1_2, HalVersion> m_RequestThread; + uint32_t m_RequestCount; + const std::string& m_RequestInputsAndOutputsDumpDir; + const bool m_GpuProfilingEnabled; +}; + +} |