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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.
*/
#include "nncc/core/ADT/tensor/Index.h"
#include <stdexcept>
#include <algorithm>
namespace nncc
{
namespace core
{
namespace ADT
{
namespace tensor
{
Index::Index(std::initializer_list<uint32_t> &&l) : _indices{l}
{
// DO NOTHING
}
uint32_t Index::rank(void) const { return _indices.size(); }
Index &Index::resize(uint32_t size)
{
_indices.resize(size);
return *this;
}
Index &Index::fill(uint32_t index)
{
std::fill(_indices.begin(), _indices.end(), index);
return (*this);
}
uint32_t &Index::at(uint32_t axis) { return _indices.at(axis); }
uint32_t Index::at(uint32_t axis) const { return _indices.at(axis); }
Index operator+(const Index &lhs, const Index &rhs)
{
if (lhs.rank() != rhs.rank())
throw std::runtime_error("Two tensors should have same rank");
Index ret;
ret.resize(lhs.rank());
for (uint32_t axis = 0; axis < lhs.rank(); axis++)
{
ret.at(axis) = lhs.at(axis) + rhs.at(axis);
}
return ret;
}
bool operator==(const Index &lhs, const Index &rhs)
{
if (lhs.rank() != rhs.rank())
return false;
for (uint32_t axis = 0; axis < lhs.rank(); axis++)
{
if (lhs.at(axis) != rhs.at(axis))
return false;
}
return true;
}
} // namespace tensor
} // namespace ADT
} // namespace core
} // namespace nncc
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