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/*
* Copyright (c) 2018 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef ARM_COMPUTE_TEST_REORGLAYER_DATASET
#define ARM_COMPUTE_TEST_REORGLAYER_DATASET
#include "utils/TypePrinter.h"
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
namespace arm_compute
{
namespace test
{
namespace datasets
{
class ReorgLayerDataset
{
public:
using type = std::tuple<TensorShape, unsigned int>;
struct iterator
{
iterator(std::vector<TensorShape>::const_iterator src_it,
std::vector<unsigned int>::const_iterator stride_it)
: _src_it{ std::move(src_it) },
_stride_it{ std::move(stride_it) }
{
}
std::string description() const
{
std::stringstream description;
description << "In=" << *_src_it << ":";
description << "Stride=" << *_stride_it;
return description.str();
}
ReorgLayerDataset::type operator*() const
{
return std::make_tuple(*_src_it, *_stride_it);
}
iterator &operator++()
{
++_src_it;
++_stride_it;
return *this;
}
private:
std::vector<TensorShape>::const_iterator _src_it;
std::vector<unsigned int>::const_iterator _stride_it;
};
iterator begin() const
{
return iterator(_src_shapes.begin(), _stride.begin());
}
int size() const
{
return std::min(_src_shapes.size(), _stride.size());
}
void add_config(TensorShape src, unsigned int stride)
{
_src_shapes.emplace_back(std::move(src));
_stride.emplace_back(std::move(stride));
}
protected:
ReorgLayerDataset() = default;
ReorgLayerDataset(ReorgLayerDataset &&) = default;
private:
std::vector<TensorShape> _src_shapes{};
std::vector<unsigned int> _stride{};
};
/** Dataset containing small reorg layer shapes. */
class SmallReorgLayerDataset final : public ReorgLayerDataset
{
public:
SmallReorgLayerDataset()
{
add_config(TensorShape(26U, 26U, 64U, 1U), 2U);
add_config(TensorShape(28U, 28U, 13U, 1U), 4U);
add_config(TensorShape(12U, 14U, 4U, 1U), 2U);
add_config(TensorShape(9U, 12U, 2U, 4U), 3U);
add_config(TensorShape(25U, 15U, 4U, 2U), 5U);
}
};
/** Dataset containing large reorg layer shapes. */
class LargeReorgLayerDataset final : public ReorgLayerDataset
{
public:
LargeReorgLayerDataset()
{
add_config(TensorShape(49U, 28U, 64U, 1U), 7U);
add_config(TensorShape(63U, 21U, 13U, 1U), 3U);
add_config(TensorShape(48U, 54U, 4U, 1U), 2U);
add_config(TensorShape(114U, 117U, 2U, 4U), 3U);
add_config(TensorShape(100U, 95U, 4U, 2U), 5U);
}
};
} // namespace datasets
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_REORGLAYER_DATASET */