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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/IndexEnumerator.h"
#include <cassert>
using nncc::core::ADT::tensor::Shape;
inline uint32_t axis_of(const Shape &shape, uint32_t cursor)
{
const uint32_t rank = shape.rank();
assert(cursor < rank);
return rank - cursor - 1;
}
namespace nncc
{
namespace core
{
namespace ADT
{
namespace tensor
{
IndexEnumerator::IndexEnumerator(const Shape &shape) : _shape{shape}, _cursor(0)
{
const uint32_t rank = _shape.rank();
// Initialize _index
_index.resize(rank);
for (uint32_t axis = 0; axis < rank; ++axis)
{
_index.at(axis) = 0;
}
// Initialize _cursor
for (_cursor = 0; _cursor < rank; ++_cursor)
{
const auto axis = axis_of(_shape, _cursor);
if (_index.at(axis) < _shape.dim(axis))
{
break;
}
}
}
void IndexEnumerator::advance(void)
{
const uint32_t rank = _shape.rank();
// Find axis to be updated
while (_cursor < rank)
{
const auto axis = axis_of(_shape, _cursor);
if ((_index.at(axis)) + 1 < _shape.dim(axis))
{
break;
}
++_cursor;
}
if (_cursor == rank)
{
return;
}
// Update index
_index.at(axis_of(_shape, _cursor)) += 1;
for (uint32_t pos = 0; pos < _cursor; ++pos)
{
const auto axis = axis_of(_shape, pos);
_index.at(axis) = 0;
}
// Reset cursor
_cursor = 0;
}
} // namespace tensor
} // namespace ADT
} // namespace core
} // namespace nncc
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