IVGCVSW-1806 Refactored Android-NN-Driver, added common "getCapabilities",

"getSupportedOperations" and "prepareModel" implementations

 * Added common base ArmnnDriverImpl class
 * Added common template implementation of the driver's "getCapabilities",
   "getSupportedOperations" and "prepareModel" methods
 * Refactored ArmnnPreparedModel and RequestThread to support HAL
   v1.1 models
 * Moved "getStatus" to the common base class, as it is shared by both
   HAL implementations
 * Refactored the code where necessary

Change-Id: I747334730026d63b4002662523fb93608f67c899

1 files changed, 0 insertions, 277 deletions

diff --git a/1.0/ArmnnDriverImpl.cpp b/1.0/ArmnnDriverImpl.cpp
deleted file mode 100644
index 21a4f2e3..00000000
--- a/1.0/ArmnnDriverImpl.cpp
+++ /dev/null
@@ -1,277 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// See LICENSE file in the project root for full license information.
-//
-
-#include "ArmnnDriverImpl.hpp"
-#include "ModelToINetworkConverter.hpp"
-#include "ArmnnPreparedModel.hpp"
-#include "SystemPropertiesUtils.hpp"
-
-#if defined(ARMNN_ANDROID_P)
-// The headers of the ML framework have changed between Android O and Android P.
-// The validation functions have been moved into their own header, ValidateHal.h.
-#include <ValidateHal.h>
-#endif
-
-#include <log/log.h>
-
-using namespace std;
-using namespace android;
-using namespace android::nn;
-using namespace android::hardware;
-
-namespace
-{
-
-const char *g_Float32PerformanceExecTimeName = "ArmNN.float32Performance.execTime";
-const char *g_Float32PerformancePowerUsageName = "ArmNN.float32Performance.powerUsage";
-const char *g_Quantized8PerformanceExecTimeName = "ArmNN.quantized8Performance.execTime";
-const char *g_Quantized8PerformancePowerUsageName = "ArmNN.quantized8Performance.powerUsage";
-
-void NotifyCallbackAndCheck(const sp<IPreparedModelCallback>& callback,
-                            ErrorStatus errorStatus,
-                            const sp<IPreparedModel>& preparedModelPtr)
-{
-    Return<void> returned = callback->notify(errorStatus, preparedModelPtr);
-    // This check is required, if the callback fails and it isn't checked it will bring down the service
-    if (!returned.isOk())
-    {
-        ALOGE("V1_0::ArmnnDriverImpl::prepareModel: hidl callback failed to return properly: %s ",
-            returned.description().c_str());
-    }
-}
-
-Return<ErrorStatus> FailPrepareModel(ErrorStatus error,
-                                     const string& message,
-                                     const sp<IPreparedModelCallback>& callback)
-{
-    ALOGW("V1_0::ArmnnDriverImpl::prepareModel: %s", message.c_str());
-    NotifyCallbackAndCheck(callback, error, nullptr);
-    return error;
-}
-
-} // namespace
-
-namespace armnn_driver
-{
-namespace V1_0
-{
-
-Return<void> ArmnnDriverImpl::getCapabilities(
-        const armnn::IRuntimePtr& runtime,
-        neuralnetworks::V1_0::IDevice::getCapabilities_cb cb)
-{
-    ALOGV("V1_0::ArmnnDriverImpl::getCapabilities()");
-
-    neuralnetworks::V1_0::Capabilities capabilities;
-    if (runtime)
-    {
-        capabilities.float32Performance.execTime =
-            ParseSystemProperty(g_Float32PerformanceExecTimeName, .1f);
-
-        capabilities.float32Performance.powerUsage =
-            ParseSystemProperty(g_Float32PerformancePowerUsageName, .1f);
-
-        capabilities.quantized8Performance.execTime =
-            ParseSystemProperty(g_Quantized8PerformanceExecTimeName, .1f);
-
-        capabilities.quantized8Performance.powerUsage =
-            ParseSystemProperty(g_Quantized8PerformancePowerUsageName, .1f);
-
-        cb(ErrorStatus::NONE, capabilities);
-    }
-    else
-    {
-        capabilities.float32Performance.execTime = 0;
-        capabilities.float32Performance.powerUsage = 0;
-        capabilities.quantized8Performance.execTime = 0;
-        capabilities.quantized8Performance.powerUsage = 0;
-
-        cb(ErrorStatus::DEVICE_UNAVAILABLE, capabilities);
-    }
-
-    return Void();
-}
-
-Return<void> ArmnnDriverImpl::getSupportedOperations(
-        const armnn::IRuntimePtr& runtime,
-        const DriverOptions& options,
-        const neuralnetworks::V1_0::Model& model,
-        neuralnetworks::V1_0::IDevice::getSupportedOperations_cb cb)
-{
-    ALOGV("V1_0::ArmnnDriverImpl::getSupportedOperations()");
-
-    vector<bool> result;
-
-    if (!runtime)
-    {
-        cb(ErrorStatus::DEVICE_UNAVAILABLE, result);
-        return Void();
-    }
-
-    // Run general model validation, if this doesn't pass we shouldn't analyse the model anyway
-    if (!android::nn::validateModel(model))
-    {
-        cb(ErrorStatus::INVALID_ARGUMENT, result);
-        return Void();
-    }
-
-    // Attempt to convert the model to an ArmNN input network (INetwork).
-    armnn_driver::ModelToINetworkConverter<HalVersion_1_0> modelConverter(options.GetComputeDevice(),
-        model, options.GetForcedUnsupportedOperations());
-
-    if (modelConverter.GetConversionResult() != ConversionResult::Success
-        && modelConverter.GetConversionResult() != ConversionResult::UnsupportedFeature)
-    {
-        cb(ErrorStatus::GENERAL_FAILURE, result);
-        return Void();
-    }
-
-    // Check each operation if it was converted successfully and copy the flags
-    // into the result (vector<bool>) that we need to return to Android
-    result.reserve(model.operations.size());
-    for (uint32_t operationIdx = 0; operationIdx < model.operations.size(); operationIdx++)
-    {
-        bool operationSupported = modelConverter.IsOperationSupported(operationIdx);
-        result.push_back(operationSupported);
-    }
-
-    cb(ErrorStatus::NONE, result);
-    return Void();
-}
-
-Return<ErrorStatus> ArmnnDriverImpl::prepareModel(
-        const armnn::IRuntimePtr& runtime,
-        const armnn::IGpuAccTunedParametersPtr& clTunedParameters,
-        const DriverOptions& options,
-        const neuralnetworks::V1_0::Model& model,
-        const sp<IPreparedModelCallback>& cb,
-        bool  float32ToFloat16)
-{
-    ALOGV("V1_0::ArmnnDriverImpl::prepareModel()");
-
-    if (cb.get() == nullptr)
-    {
-        ALOGW("V1_0::ArmnnDriverImpl::prepareModel: Invalid callback passed to prepareModel");
-        return ErrorStatus::INVALID_ARGUMENT;
-    }
-
-    if (!runtime)
-    {
-        return FailPrepareModel(ErrorStatus::DEVICE_UNAVAILABLE,
-                                "V1_0::ArmnnDriverImpl::prepareModel: Device unavailable", cb);
-    }
-
-    if (!android::nn::validateModel(model))
-    {
-        return FailPrepareModel(ErrorStatus::INVALID_ARGUMENT,
-                                "V1_0::ArmnnDriverImpl::prepareModel: Invalid model passed as input", cb);
-    }
-
-    // Deliberately ignore any unsupported operations requested by the options -
-    // at this point we're being asked to prepare a model that we've already declared support for
-    // and the operation indices may be different to those in getSupportedOperations anyway.
-    set<unsigned int> unsupportedOperations;
-    armnn_driver::ModelToINetworkConverter<HalVersion_1_0> modelConverter(options.GetComputeDevice(), model,
-        unsupportedOperations);
-
-    if (modelConverter.GetConversionResult() != ConversionResult::Success)
-    {
-        FailPrepareModel(ErrorStatus::GENERAL_FAILURE, "ModelToINetworkConverter failed", cb);
-        return ErrorStatus::NONE;
-    }
-
-    // optimize the network
-    armnn::IOptimizedNetworkPtr optNet(nullptr, nullptr);
-    armnn::OptimizerOptions OptOptions;
-    OptOptions.m_ReduceFp32ToFp16 = float32ToFloat16;
-
-    try
-    {
-        optNet = armnn::Optimize(*modelConverter.GetINetwork(),
-                                 {options.GetComputeDevice()},
-                                 runtime->GetDeviceSpec(),
-                                 OptOptions);
-    }
-    catch (armnn::Exception &e)
-    {
-        stringstream message;
-        message << "armnn::Exception (" << e.what() << ") caught from optimize.";
-        FailPrepareModel(ErrorStatus::GENERAL_FAILURE, message.str(), cb);
-        return ErrorStatus::NONE;
-    }
-
-    // Check that the optimized network is valid.
-    if (!optNet)
-    {
-        FailPrepareModel(ErrorStatus::GENERAL_FAILURE,
-                         "V1_0::ArmnnDriverImpl::prepareModel: Invalid optimized network", cb);
-        return ErrorStatus::NONE;
-    }
-
-    // Export the optimized network graph to a dot file if an output dump directory
-    // has been specified in the drivers' arguments.
-    ExportNetworkGraphToDotFile(*optNet,
-                                options.GetRequestInputsAndOutputsDumpDir(),
-                                model);
-
-    // load it into the runtime
-    armnn::NetworkId netId = 0;
-    try
-    {
-        if (runtime->LoadNetwork(netId, move(optNet)) != armnn::Status::Success)
-        {
-            return FailPrepareModel(ErrorStatus::GENERAL_FAILURE,
-                "V1_0::ArmnnDriverImpl::prepareModel: Network could not be loaded", cb);
-        }
-    }
-    catch (armnn::Exception& e)
-    {
-        stringstream message;
-        message << "armnn::Exception (" << e.what()<< ") caught from LoadNetwork.";
-        FailPrepareModel(ErrorStatus::GENERAL_FAILURE, message.str(), cb);
-        return ErrorStatus::NONE;
-    }
-
-    unique_ptr<ArmnnPreparedModel> preparedModel(new ArmnnPreparedModel(
-        netId,
-        runtime.get(),
-        model,
-        options.GetRequestInputsAndOutputsDumpDir(),
-        options.IsGpuProfilingEnabled()
-    ));
-
-    // Run a single 'dummy' inference of the model. This means that CL kernels will get compiled (and tuned if
-    // this is enabled) before the first 'real' inference which removes the overhead of the first inference.
-    preparedModel->ExecuteWithDummyInputs();
-
-    if (clTunedParameters &&
-        options.GetClTunedParametersMode() == armnn::IGpuAccTunedParameters::Mode::UpdateTunedParameters)
-    {
-        // Now that we've done one inference the CL kernel parameters will have been tuned, so save the updated file.
-        try
-        {
-            clTunedParameters->Save(options.GetClTunedParametersFile().c_str());
-        }
-        catch (const armnn::Exception& error)
-        {
-            ALOGE("V1_0::ArmnnDriverImpl: Failed to save CL tuned parameters file '%s': %s",
-                options.GetClTunedParametersFile().c_str(), error.what());
-        }
-    }
-
-    NotifyCallbackAndCheck(cb, ErrorStatus::NONE, preparedModel.release());
-
-    return ErrorStatus::NONE;
-}
-
-Return<DeviceStatus> ArmnnDriverImpl::getStatus()
-{
-    ALOGV("V1_0::ArmnnDriverImpl::getStatus()");
-
-    return DeviceStatus::AVAILABLE;
-}
-
-} // armnn_driver::namespace V1_0
-} // namespace armnn_driver