Release 18.08
diff --git a/1.0/ArmnnDriverImpl.cpp b/1.0/ArmnnDriverImpl.cpp
new file mode 100644
index 0000000..5429ebe
--- /dev/null
+++ b/1.0/ArmnnDriverImpl.cpp
@@ -0,0 +1,277 @@
+//
+// 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).
+ ModelToINetworkConverter 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;
+ ModelToINetworkConverter 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