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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/Shape.h"
#include <algorithm>
namespace nncc
{
namespace core
{
namespace ADT
{
namespace tensor
{
Shape::Shape(std::initializer_list<uint32_t> &&l) : _dims{l}
{
// DO NOTHING
}
uint32_t Shape::rank(void) const { return _dims.size(); }
Shape &Shape::resize(uint32_t size)
{
_dims.resize(size);
return *this;
}
uint32_t &Shape::dim(uint32_t axis) { return _dims.at(axis); }
uint32_t Shape::dim(uint32_t axis) const { return _dims.at(axis); }
Shape &Shape::squeeze(void)
{
_dims.erase(std::remove(_dims.begin(), _dims.end(), 1), _dims.end());
return *this;
}
uint64_t num_elements(const Shape &shape)
{
uint64_t res = 1;
for (uint32_t axis = 0; axis < shape.rank(); ++axis)
{
res *= shape.dim(axis);
}
return res;
}
Shape squeeze(const Shape &shape)
{
Shape res{shape};
res.squeeze();
return res;
}
bool operator==(const Shape &lhs, const Shape &rhs)
{
if (lhs.rank() != rhs.rank())
{
return false;
}
for (uint32_t axis = 0; axis < lhs.rank(); ++axis)
{
if (lhs.dim(axis) != rhs.dim(axis))
{
return false;
}
}
return true;
}
} // namespace tensor
} // namespace ADT
} // namespace core
} // namespace nncc
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