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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_TYPEINFO_H__
#define __NEURUN_MODEL_OPERAND_TYPEINFO_H__
#include <cstdint>
#include <NeuralNetworks.h>
#include "DataType.h"
namespace neurun
{
namespace model
{
namespace operand
{
class TypeInfo
{
public:
TypeInfo() = default;
TypeInfo(OperandCode type, float scale, int32_t offset)
: _type(typeFromOperandCode(type)), _scale(scale), _offset(offset)
{
// DO NOTHING
}
public:
DataType type() const { return _type; }
float scale() const { return _scale; }
int32_t offset() const { return _offset; }
private:
// Now neurun::model::operand::DataType share same enum value with OperandCode
// in NeuralNetworks.h.
// If we don't share same value, we must fix this mapping function.
DataType typeFromOperandCode(OperandCode type);
private:
DataType _type;
float _scale;
int32_t _offset;
};
} // namespace operand
} // namespace model
} // namespace neurun
#endif // __NEURUN_MODEL_OPERAND_TYPEINFO_H__
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