| /* |
| * Copyright (C) 2021 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 "Execution.h" |
| |
| #include "Conversions.h" |
| #include "PreparedModel.h" |
| #include "Utils.h" |
| |
| #include <android/hardware/neuralnetworks/1.0/types.h> |
| #include <android/hardware/neuralnetworks/1.1/types.h> |
| #include <android/hardware/neuralnetworks/1.2/types.h> |
| #include <android/hardware/neuralnetworks/1.3/IPreparedModel.h> |
| #include <android/hardware/neuralnetworks/1.3/types.h> |
| #include <nnapi/IExecution.h> |
| #include <nnapi/Result.h> |
| #include <nnapi/Types.h> |
| #include <nnapi/hal/CommonUtils.h> |
| |
| #include <memory> |
| #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_3::utils { |
| |
| nn::GeneralResult<std::shared_ptr<const Execution>> Execution::create( |
| std::shared_ptr<const PreparedModel> preparedModel, Request request, |
| hal::utils::RequestRelocation relocation, V1_2::MeasureTiming measure, |
| OptionalTimeoutDuration loopTimeoutDuration) { |
| if (preparedModel == nullptr) { |
| return NN_ERROR() << "V1_3::utils::Execution::create must have non-null preparedModel"; |
| } |
| |
| return std::make_shared<const Execution>(PrivateConstructorTag{}, std::move(preparedModel), |
| std::move(request), std::move(relocation), measure, |
| std::move(loopTimeoutDuration)); |
| } |
| |
| Execution::Execution(PrivateConstructorTag /*tag*/, |
| std::shared_ptr<const PreparedModel> preparedModel, Request request, |
| hal::utils::RequestRelocation relocation, V1_2::MeasureTiming measure, |
| OptionalTimeoutDuration loopTimeoutDuration) |
| : kPreparedModel(std::move(preparedModel)), |
| kRequest(std::move(request)), |
| kRelocation(std::move(relocation)), |
| kMeasure(measure), |
| kLoopTimeoutDuration(std::move(loopTimeoutDuration)) {} |
| |
| nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Execution::compute( |
| const nn::OptionalTimePoint& deadline) const { |
| const auto hidlDeadline = NN_TRY(convert(deadline)); |
| return kPreparedModel->executeInternal(kRequest, kMeasure, hidlDeadline, kLoopTimeoutDuration, |
| kRelocation); |
| } |
| |
| nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>> Execution::computeFenced( |
| const std::vector<nn::SyncFence>& waitFor, const nn::OptionalTimePoint& deadline, |
| const nn::OptionalDuration& timeoutDurationAfterFence) const { |
| const auto hidlWaitFor = NN_TRY(convertSyncFences(waitFor)); |
| const auto hidlDeadline = NN_TRY(convert(deadline)); |
| const auto hidlTimeoutDurationAfterFence = NN_TRY(convert(timeoutDurationAfterFence)); |
| return kPreparedModel->executeFencedInternal(kRequest, hidlWaitFor, kMeasure, hidlDeadline, |
| kLoopTimeoutDuration, |
| hidlTimeoutDurationAfterFence, kRelocation); |
| } |
| |
| } // namespace android::hardware::neuralnetworks::V1_3::utils |