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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 __NEURUN_MODEL_OPERAND_OBJECT_H__
#define __NEURUN_MODEL_OPERAND_OBJECT_H__
#include <cassert>
#include <cstdint>
#include <memory>
#include <algorithm>
#include "Shape.h"
#include "Data.h"
#include "TypeInfo.h"
#include "graph/operand/LowerInfo.h" // TODO Remove this dependency
#include "graph/operand/ParentInfo.h" // TODO Remove this dependency
#include "model/operation/IndexList.h"
namespace neurun
{
namespace model
{
namespace operand
{
// Operand usage should be exact one of these
enum class OperandUsage
{
NOT_DEFINED,
MODEL_INPUT,
CONSTANT,
OPERATION_OUTPUT,
};
class Object
{
public:
explicit Object(const Shape &shape, const TypeInfo &type)
: _shape{shape}, _type{type}, _usage{OperandUsage::NOT_DEFINED}
{
// DO NOTHING
}
public:
const Shape &shape(void) const { return _shape; }
const TypeInfo &typeInfo(void) const { return _type; }
size_t operandSize(void) const;
bool setAsConstant() { return setUsage(OperandUsage::CONSTANT); }
bool setAsModelInput() { return setUsage(OperandUsage::MODEL_INPUT); }
bool setAsOperationOutput() { return setUsage(OperandUsage::OPERATION_OUTPUT); }
bool usageIsDefined(void) const { return _usage != OperandUsage::NOT_DEFINED; }
bool isModelInput(void) const { return _usage == OperandUsage::MODEL_INPUT; }
OperandUsage getUsage() const { return _usage; }
const operation::IndexList &getUses() const { return _uses; }
const operation::IndexList &getDef() const { return _def; }
void appendUse(const operation::Index &idx);
void removeUse(const operation::Index &idx);
void appendDef(const operation::Index &idx);
void removeDef(const operation::Index &idx);
private:
bool setUsage(OperandUsage usage);
public:
void data(std::unique_ptr<Data> &&data) { _data = std::move(data); }
const Data &data(void) const { return *_data; }
public:
template <typename T, typename... Args> void data(Args &&... args)
{
data(std::unique_ptr<T>(new T{std::forward<Args>(args)...}));
}
public:
template <typename T> T asScalar(void) const
{
assert((_shape.rank() == 0) || ((_shape.rank() == 1) && (_shape.dim(0) == 1)));
assert(_data != nullptr);
assert((_data->base() != nullptr) && (_data->size() == sizeof(T)));
return *(reinterpret_cast<const T *>(_data->base()));
}
public:
void lower_info(std::unique_ptr<graph::operand::LowerInfo> &&lower_info);
const graph::operand::LowerInfo *lower_info() const;
graph::operand::LowerInfo *lower_info();
/**
* @brief Set parent information
* @param[in] parent_info Parent information
*/
void parent_info(std::unique_ptr<graph::operand::ParentInfo> &&parent_info);
/**
* @brief Return parent information pointer as constant
* @return Parent information pointer
*/
const graph::operand::ParentInfo *parent_info() const;
/**
* @brief Return parent information pointer
* @return Perent information pointer
*/
graph::operand::ParentInfo *parent_info();
private:
const Shape _shape;
const TypeInfo _type;
std::unique_ptr<Data> _data;
OperandUsage _usage;
operation::IndexList _uses;
operation::IndexList _def; // size is 0 (constant) or 1 (from def operation)
std::unique_ptr<graph::operand::LowerInfo> _lower_info;
std::unique_ptr<graph::operand::ParentInfo> _parent_info;
};
} // namespace operand
} // namespace model
} // namespace neurun
#endif // __NEURUN_MODEL_OPERAND_OBJECT_H__
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