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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 __LOCO_IR_FILTER_INDEX_H__
#define __LOCO_IR_FILTER_INDEX_H__
#include <cstdint>
namespace loco
{
/**
* \brief Filter Index
*
* Filter Index indicates an "element" in a given (convolutional) filter.
*
* Let us assume that there is a filter K where KS denotes its shape (of FilterShape type).
*
* Then, any valid filter index I satisfies the following invariants:
* - 0 <= I.nth() < KS.count()
* - 0 <= I.channel() < KS.depth()
* - 0 <= I.row() < KS.height()
* - 0 <= I.column() < KS.width()
*/
class FilterIndex final
{
public:
FilterIndex() = default;
public:
const uint32_t &nth(void) const { return _nth; }
uint32_t &nth(void) { return _nth; }
const uint32_t &channel(void) const { return _channel; }
uint32_t &channel(void) { return _channel; }
const uint32_t &row(void) const { return _row; }
uint32_t &row(void) { return _row; }
const uint32_t &column(void) const { return _column; }
uint32_t &column(void) { return _column; }
private:
uint32_t _nth = 0;
uint32_t _channel = 0;
uint32_t _row = 0;
uint32_t _column = 0;
};
} // namespace loco
#endif // __LOCO_IR_FILTER_INDEX_H__
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