| /* |
| * 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 "Burst.h" |
| |
| #include <android-base/logging.h> |
| #include <nnapi/IBurst.h> |
| #include <nnapi/IPreparedModel.h> |
| #include <nnapi/Result.h> |
| #include <nnapi/TypeUtils.h> |
| #include <nnapi/Types.h> |
| |
| #include <memory> |
| #include <optional> |
| #include <utility> |
| |
| namespace android::hardware::neuralnetworks::V1_0::utils { |
| |
| nn::GeneralResult<std::shared_ptr<const Burst>> Burst::create( |
| nn::SharedPreparedModel preparedModel) { |
| if (preparedModel == nullptr) { |
| return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE) |
| << "V1_0::utils::Burst::create must have non-null preparedModel"; |
| } |
| |
| return std::make_shared<const Burst>(PrivateConstructorTag{}, std::move(preparedModel)); |
| } |
| |
| Burst::Burst(PrivateConstructorTag /*tag*/, nn::SharedPreparedModel preparedModel) |
| : kPreparedModel(std::move(preparedModel)) { |
| CHECK(kPreparedModel != nullptr); |
| } |
| |
| Burst::OptionalCacheHold Burst::cacheMemory(const nn::SharedMemory& /*memory*/) const { |
| return nullptr; |
| } |
| |
| nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Burst::execute( |
| const nn::Request& request, nn::MeasureTiming measure, |
| const nn::OptionalTimePoint& deadline, const nn::OptionalDuration& loopTimeoutDuration, |
| const std::vector<nn::TokenValuePair>& hints, |
| const std::vector<nn::ExtensionNameAndPrefix>& extensionNameToPrefix) const { |
| return kPreparedModel->execute(request, measure, deadline, loopTimeoutDuration, hints, |
| extensionNameToPrefix); |
| } |
| |
| nn::GeneralResult<nn::SharedExecution> Burst::createReusableExecution( |
| const nn::Request& request, nn::MeasureTiming measure, |
| const nn::OptionalDuration& loopTimeoutDuration, |
| const std::vector<nn::TokenValuePair>& hints, |
| const std::vector<nn::ExtensionNameAndPrefix>& extensionNameToPrefix) const { |
| return kPreparedModel->createReusableExecution(request, measure, loopTimeoutDuration, hints, |
| extensionNameToPrefix); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_0::utils |