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/*
* Copyright (C) 2020 The Android Open Source Project
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "PreparedModel.h"
#include "Burst.h"
#include "Callbacks.h"
#include "Conversions.h"
#include "Execution.h"
#include "Utils.h"
#include <android/hardware/neuralnetworks/1.0/IPreparedModel.h>
#include <android/hardware/neuralnetworks/1.0/types.h>
#include <nnapi/IPreparedModel.h>
#include <nnapi/Result.h>
#include <nnapi/Types.h>
#include <nnapi/hal/CommonUtils.h>
#include <nnapi/hal/HandleError.h>
#include <nnapi/hal/ProtectCallback.h>
#include <memory>
#include <tuple>
#include <utility>
#include <vector>
// See hardware/interfaces/neuralnetworks/utils/README.md for more information on HIDL interface
// lifetimes across processes and for protecting asynchronous calls across HIDL.
namespace android::hardware::neuralnetworks::V1_0::utils {
nn::GeneralResult<std::shared_ptr<const PreparedModel>> PreparedModel::create(
sp<V1_0::IPreparedModel> preparedModel) {
if (preparedModel == nullptr) {
return NN_ERROR() << "V1_0::utils::PreparedModel::create must have non-null preparedModel";
}
auto deathHandler = NN_TRY(hal::utils::DeathHandler::create(preparedModel));
return std::make_shared<const PreparedModel>(PrivateConstructorTag{}, std::move(preparedModel),
std::move(deathHandler));
}
PreparedModel::PreparedModel(PrivateConstructorTag /*tag*/, sp<V1_0::IPreparedModel> preparedModel,
hal::utils::DeathHandler deathHandler)
: kPreparedModel(std::move(preparedModel)), kDeathHandler(std::move(deathHandler)) {}
nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> PreparedModel::execute(
const nn::Request& request, nn::MeasureTiming /*measure*/,
const nn::OptionalTimePoint& /*deadline*/,
const nn::OptionalDuration& /*loopTimeoutDuration*/) const {
// Ensure that request is ready for IPC.
std::optional<nn::Request> maybeRequestInShared;
hal::utils::RequestRelocation relocation;
const nn::Request& requestInShared =
NN_TRY(hal::utils::makeExecutionFailure(hal::utils::convertRequestFromPointerToShared(
&request, nn::kDefaultRequestMemoryAlignment, nn::kMinMemoryPadding,
&maybeRequestInShared, &relocation)));
const auto hidlRequest = NN_TRY(hal::utils::makeExecutionFailure(convert(requestInShared)));
return executeInternal(hidlRequest, relocation);
}
nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
PreparedModel::executeInternal(const V1_0::Request& request,
const hal::utils::RequestRelocation& relocation) const {
if (relocation.input) {
relocation.input->flush();
}
const auto cb = sp<ExecutionCallback>::make();
const auto scoped = kDeathHandler.protectCallback(cb.get());
const auto ret = kPreparedModel->execute(request, cb);
const auto status = HANDLE_TRANSPORT_FAILURE(ret);
HANDLE_HAL_STATUS(status) << "execution failed with " << toString(status);
auto result = NN_TRY(cb->get());
if (relocation.output) {
relocation.output->flush();
}
return result;
}
nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>>
PreparedModel::executeFenced(const nn::Request& /*request*/,
const std::vector<nn::SyncFence>& /*waitFor*/,
nn::MeasureTiming /*measure*/,
const nn::OptionalTimePoint& /*deadline*/,
const nn::OptionalDuration& /*loopTimeoutDuration*/,
const nn::OptionalDuration& /*timeoutDurationAfterFence*/) const {
return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
<< "IPreparedModel::executeFenced is not supported on 1.0 HAL service";
}
nn::GeneralResult<nn::SharedExecution> PreparedModel::createReusableExecution(
const nn::Request& request, nn::MeasureTiming /*measure*/,
const nn::OptionalDuration& /*loopTimeoutDuration*/) const {
// Ensure that request is ready for IPC.
std::optional<nn::Request> maybeRequestInShared;
hal::utils::RequestRelocation relocation;
const nn::Request& requestInShared = NN_TRY(hal::utils::convertRequestFromPointerToShared(
&request, nn::kDefaultRequestMemoryAlignment, nn::kMinMemoryPadding,
&maybeRequestInShared, &relocation));
auto hidlRequest = NN_TRY(convert(requestInShared));
return Execution::create(shared_from_this(), std::move(hidlRequest), std::move(relocation));
}
nn::GeneralResult<nn::SharedBurst> PreparedModel::configureExecutionBurst() const {
return Burst::create(shared_from_this());
}
std::any PreparedModel::getUnderlyingResource() const {
sp<V1_0::IPreparedModel> resource = kPreparedModel;
return resource;
}
} // namespace android::hardware::neuralnetworks::V1_0::utils
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