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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_IR_OPERAND_H__
#define __NEURUN_IR_OPERAND_H__
#include <cassert>
#include <cstdint>
#include <cpp14/memory.h>
#include <algorithm>
#include "ir/Data.h"
#include "ir/DataType.h"
#include "ir/OperandInfo.h"
#include "ir/operand/ParentInfo.h" // TODO Remove this dependency
#include "ir/OperationIndexList.h"
namespace neurun
{
namespace ir
{
class Operand
{
public:
explicit Operand(const Shape &shape, const TypeInfo &type) : _info{shape, type}
{
// DO NOTHING
}
public:
const Shape &shape(void) const { return _info.shape(); }
const TypeInfo &typeInfo(void) const { return _info.typeInfo(); }
const OperandInfo &info(void) const { return _info; }
size_t operandSize(void) const;
const OperationIndexList &getUses() const { return _uses; }
const OperationIndexList &getDef() const { return _def; }
void appendUse(const OperationIndex &idx);
void removeUse(const OperationIndex &idx);
void appendDef(const OperationIndex &idx);
void removeDef(const OperationIndex &idx);
public:
void type(const DataType type) { _info.type(type); };
public:
void data(std::unique_ptr<Data> &&data) { _data = std::move(data); }
const Data &data(void) const
{
assert(_data);
return *_data;
}
/**
* @brief Get true if Operand has data, otherwise @c false
a @return @c true if Operand has data, otherwise @c false
*/
bool isConstant(void) const { return _data != nullptr; }
public:
template <typename T, typename... Args> void data(Args &&... args)
{
data(nnfw::cpp14::make_unique<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()));
}
template <typename T> std::vector<T> asVector() const
{
assert(isConstant());
assert(_data->size() % sizeof(T) == 0);
const auto *base = reinterpret_cast<const T *>(_data->base());
const std::size_t size = _data->size() / sizeof(T);
return std::vector<T>(base, base + size);
}
public:
/**
* @brief Set parent information
* @param[in] parent_info Parent information
*/
void parent_info(std::unique_ptr<operand::ParentInfo> &&parent_info);
/**
* @brief Return parent information pointer as constant
* @return Parent information pointer
*/
const operand::ParentInfo *parent_info() const;
/**
* @brief Return parent information pointer
* @return Perent information pointer
*/
operand::ParentInfo *parent_info();
private:
OperandInfo _info;
std::shared_ptr<Data> _data;
OperationIndexList _uses;
OperationIndexList _def; // size is 0 (constant) or 1 (from def operation)
std::shared_ptr<operand::ParentInfo> _parent_info;
};
} // namespace ir
} // namespace neurun
#endif // __NEURUN_IR_OPERAND_H__
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