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authorFinn Williams <Finn.Williams@arm.com>2021-05-19 20:52:00 +0100
committerFinn Williams <Finn.Williams@arm.com>2021-05-26 14:09:49 +0100
commitd8fb540568b29fd1d81a1cca667a1ad3e33ef5a1 (patch)
tree11754db57611c8069bfb3811eedd86b3304917ee /ArmnnPreparedModel.hpp
parent8920cae4be95ef68295ca458514f0cc257b14f80 (diff)
downloadandroid-nn-driver-d8fb540568b29fd1d81a1cca667a1ad3e33ef5a1.tar.gz
IVGCVSW-5781 Add Async Support to Android-NN-Driver
Signed-off-by: Finn Williams <Finn.Williams@arm.com> Change-Id: I1f13d04100fdb119495b9e3054425bf3babc59f1
Diffstat (limited to 'ArmnnPreparedModel.hpp')
-rw-r--r--ArmnnPreparedModel.hpp62
1 files changed, 61 insertions, 1 deletions
diff --git a/ArmnnPreparedModel.hpp b/ArmnnPreparedModel.hpp
index 89f6226f..d1c830d4 100644
--- a/ArmnnPreparedModel.hpp
+++ b/ArmnnPreparedModel.hpp
@@ -38,7 +38,8 @@ public:
armnn::IRuntime* runtime,
const HalModel& model,
const std::string& requestInputsAndOutputsDumpDir,
- const bool gpuProfilingEnabled);
+ const bool gpuProfilingEnabled,
+ const bool asyncModelExecutionEnabled = false);
virtual ~ArmnnPreparedModel();
@@ -56,9 +57,65 @@ public:
bool ExecuteWithDummyInputs();
private:
+
+ template<typename CallbackContext>
+ class ArmnnThreadPoolCallback : public armnn::IAsyncExecutionCallback
+ {
+ public:
+ ArmnnThreadPoolCallback(ArmnnPreparedModel<HalVersion>* model,
+ std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>>& pMemPools,
+ std::shared_ptr<armnn::InputTensors>& inputTensors,
+ std::shared_ptr<armnn::OutputTensors>& outputTensors,
+ CallbackContext callbackContext) :
+ m_Model(model),
+ m_MemPools(pMemPools),
+ m_InputTensors(inputTensors),
+ m_OutputTensors(outputTensors),
+ m_CallbackContext(callbackContext)
+ {}
+
+ void Notify(armnn::Status status, armnn::InferenceTimingPair timeTaken) override;
+
+ // Retrieve the ArmNN Status from the AsyncExecutionCallback that has been notified
+ virtual armnn::Status GetStatus() const override
+ {
+ return armnn::Status::Success;
+ }
+
+ // Block the calling thread until the AsyncExecutionCallback object allows it to proceed
+ virtual void Wait() const override
+ {}
+
+ // Retrieve the start time before executing the inference
+ virtual armnn::HighResolutionClock GetStartTime() const override
+ {
+ return std::chrono::high_resolution_clock::now();
+ }
+
+ // Retrieve the time after executing the inference
+ virtual armnn::HighResolutionClock GetEndTime() const override
+ {
+ return std::chrono::high_resolution_clock::now();
+ }
+
+ ArmnnPreparedModel<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;
+ };
+
template <typename TensorBindingCollection>
void DumpTensorsIfRequired(char const* tensorNamePrefix, const TensorBindingCollection& tensorBindings);
+ /// schedule the graph prepared from the request for execution
+ template<typename CallbackContext>
+ void ScheduleGraphForExecution(
+ std::shared_ptr<std::vector<::android::nn::RunTimePoolInfo>>& pMemPools,
+ std::shared_ptr<armnn::InputTensors>& inputTensors,
+ std::shared_ptr<armnn::OutputTensors>& outputTensors,
+ CallbackContext m_CallbackContext);
+
armnn::NetworkId m_NetworkId;
armnn::IRuntime* m_Runtime;
HalModel m_Model;
@@ -68,6 +125,9 @@ private:
uint32_t m_RequestCount;
const std::string& m_RequestInputsAndOutputsDumpDir;
const bool m_GpuProfilingEnabled;
+
+ std::unique_ptr<armnn::IWorkingMemHandle> m_WorkingMemHandle;
+ const bool m_AsyncModelExecutionEnabled;
};
}