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/*
* Copyright (c) 2019 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 __OPERATION_FACTORY_H__
#define __OPERATION_FACTORY_H__
#include <unordered_map>
#include "ir/Operands.h"
#include "ir/Operation.h"
#include "NeuralNetworks.h"
#include "NeuralNetworksEx.h"
/**
* @brief A class to create a onert operation object from NN API input parameters
*/
class OperationFactory
{
public:
struct Param
{
uint32_t input_count;
const uint32_t *inputs;
uint32_t output_count;
const uint32_t *outputs;
};
public:
using Generator =
std::function<onert::ir::Operation *(const OperationFactory::Param &, onert::ir::Operands &)>;
public:
static OperationFactory &get();
private:
OperationFactory();
public:
onert::ir::Operation *create(ANeuralNetworksOperationType, const OperationFactory::Param ¶m,
onert::ir::Operands &operands);
// TODO add "register" method for separating registration, possibly supporting custom-ops
private:
std::unordered_map<ANeuralNetworksOperationType, Generator> _map;
};
#endif // __OPERATION_FACTORY_H__
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