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//
// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include <android-base/logging.h>
#include <nnapi/IBuffer.h>
#include <nnapi/IDevice.h>
#include <nnapi/IPreparedModel.h>
#include <nnapi/OperandTypes.h>
#include <nnapi/Result.h>
#include <nnapi/Types.h>
#include <nnapi/Validation.h>
#include "ArmnnDevice.hpp"
#include "ArmnnDriverImpl.hpp"
#include "Converter.hpp"
#include "ArmnnDriverImpl.hpp"
#include "ModelToINetworkTransformer.hpp"
#include <log/log.h>
namespace armnn_driver
{
//using namespace android::nn;
class ArmnnDriver : public ArmnnDevice, public IDevice
{
public:
ArmnnDriver(DriverOptions options)
: ArmnnDevice(std::move(options))
{
VLOG(DRIVER) << "ArmnnDriver::ArmnnDriver()";
}
~ArmnnDriver()
{
VLOG(DRIVER) << "ArmnnDriver::~ArmnnDriver()";
// Unload the networks
for (auto& netId : ArmnnDriverImpl::GetLoadedNetworks())
{
m_Runtime->UnloadNetwork(netId);
}
ArmnnDriverImpl::ClearNetworks();
}
public:
const std::string& getName() const override
{
VLOG(DRIVER) << "ArmnnDriver::getName()";
static const std::string name = "arm-armnn-sl";
return name;
}
const std::string& getVersionString() const override
{
VLOG(DRIVER) << "ArmnnDriver::getVersionString()";
static const std::string versionString = "ArmNN";
return versionString;
}
Version getFeatureLevel() const override
{
VLOG(DRIVER) << "ArmnnDriver::getFeatureLevel()";
return kVersionFeatureLevel5;
}
DeviceType getType() const override
{
VLOG(DRIVER) << "ArmnnDriver::getType()";
return DeviceType::CPU;
}
const std::vector<Extension>& getSupportedExtensions() const override
{
VLOG(DRIVER) << "ArmnnDriver::getSupportedExtensions()";
static const std::vector<Extension> extensions = {};
return extensions;
}
const Capabilities& getCapabilities() const override
{
VLOG(DRIVER) << "ArmnnDriver::GetCapabilities()";
return ArmnnDriverImpl::GetCapabilities(m_Runtime);
}
std::pair<uint32_t, uint32_t> getNumberOfCacheFilesNeeded() const override
{
VLOG(DRIVER) << "ArmnnDriver::getNumberOfCacheFilesNeeded()";
unsigned int numberOfCachedModelFiles = 0;
for (auto& backend : m_Options.GetBackends())
{
numberOfCachedModelFiles += GetNumberOfCacheFiles(backend);
VLOG(DRIVER) << "ArmnnDriver::getNumberOfCacheFilesNeeded() = " << std::to_string(numberOfCachedModelFiles);
}
return std::make_pair(numberOfCachedModelFiles, 1ul);
}
GeneralResult<void> wait() const override
{
VLOG(DRIVER) << "ArmnnDriver::wait()";
return {};
}
GeneralResult<std::vector<bool>> getSupportedOperations(const Model& model) const override
{
VLOG(DRIVER) << "ArmnnDriver::getSupportedOperations()";
std::stringstream ss;
ss << "ArmnnDriverImpl::getSupportedOperations()";
std::string fileName;
std::string timestamp;
if (!m_Options.GetRequestInputsAndOutputsDumpDir().empty())
{
ss << " : "
<< m_Options.GetRequestInputsAndOutputsDumpDir()
<< "/"
// << GetFileTimestamp()
<< "_getSupportedOperations.txt";
}
VLOG(DRIVER) << ss.str().c_str();
if (!m_Options.GetRequestInputsAndOutputsDumpDir().empty())
{
//dump the marker file
std::ofstream fileStream;
fileStream.open(fileName, std::ofstream::out | std::ofstream::trunc);
if (fileStream.good())
{
fileStream << timestamp << std::endl;
fileStream << timestamp << std::endl;
}
fileStream.close();
}
std::vector<bool> result;
if (!m_Runtime)
{
return NN_ERROR(ErrorStatus::DEVICE_UNAVAILABLE) << "Device Unavailable!";
}
// Run general model validation, if this doesn't pass we shouldn't analyse the model anyway.
if (const auto result = validate(model); !result.ok())
{
return NN_ERROR(ErrorStatus::INVALID_ARGUMENT) << "Invalid Model!";
}
// Attempt to convert the model to an ArmNN input network (INetwork).
ModelToINetworkTransformer modelConverter(m_Options.GetBackends(),
model,
m_Options.GetForcedUnsupportedOperations());
if (modelConverter.GetConversionResult() != ConversionResult::Success
&& modelConverter.GetConversionResult() != ConversionResult::UnsupportedFeature)
{
return NN_ERROR(ErrorStatus::GENERAL_FAILURE) << "Conversion Error!";
}
// 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.main.operations.size());
for (uint32_t operationIdx = 0; operationIdx < model.main.operations.size(); ++operationIdx)
{
bool operationSupported = modelConverter.IsOperationSupported(operationIdx);
result.push_back(operationSupported);
}
return result;
}
GeneralResult<SharedPreparedModel> prepareModel(const Model& model,
ExecutionPreference preference,
Priority priority,
OptionalTimePoint deadline,
const std::vector<SharedHandle>& modelCache,
const std::vector<SharedHandle>& dataCache,
const CacheToken& token,
const std::vector<android::nn::TokenValuePair>& hints,
const std::vector<android::nn::ExtensionNameAndPrefix>& extensionNameToPrefix) const override
{
VLOG(DRIVER) << "ArmnnDriver::prepareModel()";
// Validate arguments.
if (const auto result = validate(model); !result.ok()) {
return NN_ERROR(ErrorStatus::INVALID_ARGUMENT) << "Invalid Model: " << result.error();
}
if (const auto result = validate(preference); !result.ok()) {
return NN_ERROR(ErrorStatus::INVALID_ARGUMENT)
<< "Invalid ExecutionPreference: " << result.error();
}
if (const auto result = validate(priority); !result.ok()) {
return NN_ERROR(ErrorStatus::INVALID_ARGUMENT) << "Invalid Priority: " << result.error();
}
// Check if deadline has passed.
if (hasDeadlinePassed(deadline)) {
return NN_ERROR(ErrorStatus::MISSED_DEADLINE_PERSISTENT);
}
return ArmnnDriverImpl::PrepareArmnnModel(m_Runtime,
m_ClTunedParameters,
m_Options,
model,
modelCache,
dataCache,
token,
model.relaxComputationFloat32toFloat16 && m_Options.GetFp16Enabled(),
priority);
}
GeneralResult<SharedPreparedModel> prepareModelFromCache(OptionalTimePoint deadline,
const std::vector<SharedHandle>& modelCache,
const std::vector<SharedHandle>& dataCache,
const CacheToken& token) const override
{
VLOG(DRIVER) << "ArmnnDriver::prepareModelFromCache()";
// Check if deadline has passed.
if (hasDeadlinePassed(deadline)) {
return NN_ERROR(ErrorStatus::MISSED_DEADLINE_PERSISTENT);
}
return ArmnnDriverImpl::PrepareArmnnModelFromCache(
m_Runtime,
m_ClTunedParameters,
m_Options,
modelCache,
dataCache,
token,
m_Options.GetFp16Enabled());
}
GeneralResult<SharedBuffer> allocate(const BufferDesc&,
const std::vector<SharedPreparedModel>&,
const std::vector<BufferRole>&,
const std::vector<BufferRole>&) const override
{
VLOG(DRIVER) << "ArmnnDriver::allocate()";
return NN_ERROR(ErrorStatus::INVALID_ARGUMENT) << "ArmnnDriver::allocate -- does not support allocate.";
}
};
} // namespace armnn_driver
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