/* * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved * * 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. */ #ifndef __EXECUTION_H__ #define __EXECUTION_H__ #include "compiler/Plan.h" #include "exec/Source.h" #include "exec/Sink.h" struct ANeuralNetworksExecution { public: ANeuralNetworksExecution(const std::shared_ptr &plan) : _plan{plan} { _sources.resize(_plan->model().getInputs().size()); _sinks.resize(_plan->model().getOutputs().size()); } public: const neurun::compiler::Plan &plan(void) const { return *_plan; } private: std::shared_ptr _plan; public: // TODO Use InputIndex instead of int void source(int n, std::unique_ptr &&source) { _sources.at(n) = std::move(source); } template void source(int n, Args &&... args) { source(n, std::unique_ptr{new T{std::forward(args)...}}); } public: const neurun::exec::ISource &source(int n) const { return *(_sources.at(n)); } public: // TODO Use OutputIndex instead of int void sink(int n, std::unique_ptr &&sink) { _sinks.at(n) = std::move(sink); } template void sink(int n, Args &&... args) { sink(n, std::unique_ptr{new T{std::forward(args)...}}); } public: const neurun::exec::ISink &sink(int n) const { return *(_sinks.at(n)); } private: std::vector> _sources; std::vector> _sinks; }; #endif