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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_DATA_H__
#define __NEURUN_MODEL_OPERAND_DATA_H__
#include <algorithm>
namespace neurun
{
namespace model
{
namespace operand
{
struct Data
{
virtual ~Data() = default;
virtual size_t size(void) const = 0;
virtual const uint8_t *base(void) const = 0;
};
class CachedData final : public Data
{
public:
CachedData(const uint8_t *base, size_t size) : _base{new uint8_t[size]}, _size{size}
{
std::copy(base, base + size, _base);
}
public:
~CachedData() { delete[] _base; }
public:
size_t size(void) const override { return _size; }
const uint8_t *base(void) const override { return _base; }
private:
uint8_t *_base;
size_t _size;
};
class ExternalData final : public Data
{
public:
ExternalData(const uint8_t *base, size_t size) : _base{base}, _size{size}
{
// DO NOTHING
}
public:
size_t size(void) const override { return _size; }
const uint8_t *base(void) const override { return _base; }
private:
const uint8_t *_base;
const size_t _size;
};
} // namespace operand
} // namespace model
} // namespace neurun
#endif // __NEURUN_MODEL_OPERAND_DATA_H__
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