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/*
* 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<const neurun::compiler::Plan> &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<const neurun::compiler::Plan> _plan;
public:
// TODO Use InputIndex instead of int
void source(int n, std::unique_ptr<neurun::exec::ISource> &&source)
{
_sources.at(n) = std::move(source);
}
template <typename T, typename... Args> void source(int n, Args &&... args)
{
source(n, std::unique_ptr<T>{new T{std::forward<Args>(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<neurun::exec::ISink> &&sink) { _sinks.at(n) = std::move(sink); }
template <typename T, typename... Args> void sink(int n, Args &&... args)
{
sink(n, std::unique_ptr<T>{new T{std::forward<Args>(args)...}});
}
public:
const neurun::exec::ISink &sink(int n) const { return *(_sinks.at(n)); }
private:
std::vector<std::unique_ptr<neurun::exec::ISource>> _sources;
std::vector<std::unique_ptr<neurun::exec::ISink>> _sinks;
};
#endif
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