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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 __NNFW_UTIL_TENSOR_INDEX_H__
#define __NNFW_UTIL_TENSOR_INDEX_H__
#include <cstdint>
#include <cstddef>
#include <vector>
#include <initializer_list>
namespace nnfw
{
namespace util
{
namespace tensor
{
struct Index
{
public:
Index(size_t rank) { _offsets.resize(rank); }
public:
Index(std::initializer_list<int32_t> offsets) : _offsets{offsets}
{
// DO NOTHING
}
public:
size_t rank(void) const { return _offsets.size(); }
public:
int32_t at(size_t n) const { return _offsets.at(n); }
int32_t &at(size_t n) { return _offsets.at(n); }
private:
std::vector<int32_t> _offsets;
};
// This is used to convert NNAPI tensor index to ARM tensor index or vice versa
inline static Index copy_reverse(const Index &origin)
{
size_t rank = origin.rank();
Index target(rank);
for (int i = 0; i < rank; i++)
target.at(i) = origin.at(rank-1 -i);
return target;
}
} // namespace tensor
} // namespace util
} // namespace nnfw
#endif // __NNFW_UTIL_TENSOR_INDEX_H__
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