/* * 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 #include #include #include #include #include #include #include // See hardware/interfaces/neuralnetworks/utils/README.md for more information on HIDL interface // lifetimes across processes and for protecting asynchronous calls across HIDL. namespace aidl::android::hardware::neuralnetworks::utils { nn::GeneralResult> ExecutionWithCachedRequest::create(std::shared_ptr preparedModel, Request request, hal::utils::RequestRelocation relocation, bool measure, int64_t loopTimeoutDuration) { if (preparedModel == nullptr) { return NN_ERROR() << "aidl::utils::ExecutionWithCachedRequest::create must have non-null " "preparedModel"; } return std::make_shared( PrivateConstructorTag{}, std::move(preparedModel), std::move(request), std::move(relocation), measure, loopTimeoutDuration); } ExecutionWithCachedRequest::ExecutionWithCachedRequest( PrivateConstructorTag /*tag*/, std::shared_ptr preparedModel, Request request, hal::utils::RequestRelocation relocation, bool measure, int64_t loopTimeoutDuration) : kPreparedModel(std::move(preparedModel)), kRequest(std::move(request)), kRelocation(std::move(relocation)), kMeasure(measure), kLoopTimeoutDuration(loopTimeoutDuration) {} nn::ExecutionResult, nn::Timing>> ExecutionWithCachedRequest::compute(const nn::OptionalTimePoint& deadline) const { const auto aidlDeadline = NN_TRY(convert(deadline)); return kPreparedModel->executeInternal(kRequest, kMeasure, aidlDeadline, kLoopTimeoutDuration, {}, {}, kRelocation); } nn::GeneralResult> ExecutionWithCachedRequest::computeFenced( const std::vector& waitFor, const nn::OptionalTimePoint& deadline, const nn::OptionalDuration& timeoutDurationAfterFence) const { const auto aidlWaitFor = NN_TRY(convert(waitFor)); const auto aidlDeadline = NN_TRY(convert(deadline)); const auto aidlTimeoutDurationAfterFence = NN_TRY(convert(timeoutDurationAfterFence)); return kPreparedModel->executeFencedInternal( kRequest, aidlWaitFor, kMeasure, aidlDeadline, kLoopTimeoutDuration, aidlTimeoutDurationAfterFence, {}, {}, kRelocation); } nn::GeneralResult> Execution::create( std::shared_ptr execution, hal::utils::RequestRelocation relocation) { if (execution == nullptr) { return NN_ERROR() << "aidl::utils::Execution::create must have non-null execution"; } return std::make_shared(PrivateConstructorTag{}, std::move(execution), std::move(relocation)); } Execution::Execution(PrivateConstructorTag /*tag*/, std::shared_ptr execution, hal::utils::RequestRelocation relocation) : kExecution(std::move(execution)), kRelocation(std::move(relocation)) {} } // namespace aidl::android::hardware::neuralnetworks::utils