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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// See LICENSE file in the project root for full license information.
//
#include "ArmnnDriverImpl.hpp"
#include "../1.0/ArmnnDriverImpl.hpp"
#include <OperationsUtils.h>
#include <log/log.h>
#include <boost/assert.hpp>
#include <ValidateHal.h>
using namespace std;
using namespace android;
using namespace android::nn;
using namespace android::hardware;
namespace
{
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_1::ArmnnDriverImpl::prepareModel_1_1: 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_1::ArmnnDriverImpl::prepareModel_1_1: %s", message.c_str());
NotifyCallbackAndCheck(callback, error, nullptr);
return error;
}
} // namespace
namespace armnn_driver
{
namespace V1_1
{
Return<void> ArmnnDriverImpl::getCapabilities_1_1(
const armnn::IRuntimePtr& runtime,
neuralnetworks::V1_1::IDevice::getCapabilities_1_1_cb cb)
{
ALOGV("V1_1::ArmnnDriverImpl::getCapabilities_1_1()");
neuralnetworks::V1_0::IDevice::getCapabilities_cb cb_1_0 =
[&](ErrorStatus status, const neuralnetworks::V1_0::Capabilities& capabilities)
{
BOOST_ASSERT_MSG(compliantWithV1_1(capabilities),
"V1_1::ArmnnDriverImpl: V1_0::Capabilities not compliant with V1_1::Capabilities");
cb(status, convertToV1_1(capabilities));
};
V1_0::ArmnnDriverImpl::getCapabilities(runtime, cb_1_0);
return Void();
}
Return<void> ArmnnDriverImpl::getSupportedOperations_1_1(
const armnn::IRuntimePtr& runtime,
const DriverOptions& options,
const neuralnetworks::V1_1::Model& model,
neuralnetworks::V1_1::IDevice::getSupportedOperations_1_1_cb cb)
{
ALOGV("V1_1::ArmnnDriverImpl::getSupportedOperations_1_1()");
if(compliantWithV1_0(model))
{
V1_0::ArmnnDriverImpl::getSupportedOperations(runtime, options, convertToV1_0(model), cb);
}
else
{
std::vector<bool> result;
if (!runtime)
{
ALOGW("V1_1::ArmnnDriverImpl::getSupportedOperations_1_1: Device unavailable");
cb(ErrorStatus::DEVICE_UNAVAILABLE, result);
return Void();
}
if (!android::nn::validateModel(model))
{
ALOGW("V1_1::ArmnnDriverImpl::getSupportedOperations_1_1: Invalid model passed as input");
cb(ErrorStatus::INVALID_ARGUMENT, result);
return Void();
}
result.assign(model.operations.size(), false);
cb(ErrorStatus::NONE, result);
}
return Void();
}
Return<ErrorStatus> ArmnnDriverImpl::prepareModel_1_1(
const armnn::IRuntimePtr& runtime,
const armnn::IGpuAccTunedParametersPtr& clTunedParameters,
const DriverOptions& options,
const neuralnetworks::V1_1::Model& model,
const sp<IPreparedModelCallback>& cb)
{
ALOGV("V1_1::ArmnnDriverImpl::prepareModel_1_1()");
if(compliantWithV1_0(model))
{
return V1_0::ArmnnDriverImpl::prepareModel(runtime, clTunedParameters, options, convertToV1_0(model), cb,
model.relaxComputationFloat32toFloat16 && options.GetFp16Enabled());
}
else
{
if (cb.get() == nullptr)
{
ALOGW("V1_1::ArmnnDriverImpl::prepareModel_1_1: Invalid callback passed to prepareModel");
return ErrorStatus::INVALID_ARGUMENT;
}
if (!runtime)
{
return FailPrepareModel(ErrorStatus::DEVICE_UNAVAILABLE,
"V1_1::ArmnnDriverImpl::prepareModel_1_1: Device unavailable", cb);
}
if (!android::nn::validateModel(model))
{
return FailPrepareModel(ErrorStatus::INVALID_ARGUMENT,
"V1_1::ArmnnDriverImpl::prepareModel_1_1: Invalid model passed as input", cb);
}
FailPrepareModel(ErrorStatus::GENERAL_FAILURE,
"V1_1::ArmnnDriverImpl::prepareModel_1_1: Unsupported model", cb);
return ErrorStatus::NONE;
}
}
} // armnn_driver::namespace V1_1
} // namespace armnn_driver
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