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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_COL2IM_DATASET
#define ARM_COMPUTE_TEST_COL2IM_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 Col2ImLayerDataset
{
public:
using type = std::tuple<TensorShape, unsigned int, unsigned int, unsigned int>;
struct iterator
{
iterator(std::vector<TensorShape>::const_iterator src_it,
std::vector<unsigned int>::const_iterator convolved_width_it,
std::vector<unsigned int>::const_iterator convolved_height_it,
std::vector<unsigned int>::const_iterator num_groups_it)
: _src_it{ std::move(src_it) },
_convolved_width_it{ std::move(convolved_width_it) },
_convolved_height_it{ std::move(convolved_height_it) },
_num_groups_it{ std::move(num_groups_it) }
{
}
std::string description() const
{
std::stringstream description;
description << "In=" << *_src_it << ":";
description << "ConvolvedWidth=" << *_convolved_width_it << ":";
description << "ConvolvedHeight=" << *_convolved_height_it << ":";
description << "NumGroups=" << *_num_groups_it;
return description.str();
}
Col2ImLayerDataset::type operator*() const
{
return std::make_tuple(*_src_it, *_convolved_width_it, *_convolved_height_it, *_num_groups_it);
}
iterator &operator++()
{
++_src_it;
++_convolved_width_it;
++_convolved_height_it;
++_num_groups_it;
return *this;
}
private:
std::vector<TensorShape>::const_iterator _src_it;
std::vector<unsigned int>::const_iterator _convolved_width_it;
std::vector<unsigned int>::const_iterator _convolved_height_it;
std::vector<unsigned int>::const_iterator _num_groups_it;
};
iterator begin() const
{
return iterator(_src_shapes.begin(), _convolved_widths.begin(), _convolved_heights.begin(), _num_groups.begin());
}
int size() const
{
return std::min(_src_shapes.size(), std::min(_convolved_widths.size(), std::min(_convolved_heights.size(), _num_groups.size())));
}
void add_config(TensorShape src, unsigned int convolved_width, unsigned int convolved_height, unsigned int info)
{
_src_shapes.emplace_back(std::move(src));
_convolved_widths.emplace_back(std::move(convolved_width));
_convolved_heights.emplace_back(std::move(convolved_height));
_num_groups.emplace_back(std::move(info));
}
protected:
Col2ImLayerDataset() = default;
Col2ImLayerDataset(Col2ImLayerDataset &&) = default;
private:
std::vector<TensorShape> _src_shapes{};
std::vector<unsigned int> _convolved_widths{};
std::vector<unsigned int> _convolved_heights{};
std::vector<unsigned int> _num_groups{};
};
/** Dataset containing small grouped col2im shapes. */
class SmallGroupedCol2ImLayerDataset final : public Col2ImLayerDataset
{
public:
SmallGroupedCol2ImLayerDataset()
{
add_config(TensorShape(10U, 12U, 1U, 1U), 3U, 4U, 1U);
add_config(TensorShape(12U, 30U, 1U, 2U), 5U, 6U, 1U);
add_config(TensorShape(12U, 30U, 4U, 1U), 5U, 6U, 1U);
add_config(TensorShape(10U, 12U, 2U, 4U), 3U, 4U, 2U);
add_config(TensorShape(10U, 12U, 2U, 4U), 3U, 4U, 2U);
add_config(TensorShape(8U, 16U, 3U, 1U), 4U, 4U, 3U);
add_config(TensorShape(8U, 16U, 3U, 3U), 4U, 4U, 3U);
add_config(TensorShape(12U, 20U, 4U, 1U), 5U, 4U, 4U);
add_config(TensorShape(12U, 20U, 4U, 3U, 2U), 5U, 4U, 4U);
}
};
/** Dataset containing large grouped col2im shapes. */
class LargeGroupedCol2ImLayerDataset final : public Col2ImLayerDataset
{
public:
LargeGroupedCol2ImLayerDataset()
{
add_config(TensorShape(233U, 280U, 1U, 55U), 14U, 20U, 1U);
add_config(TensorShape(333U, 280U, 1U, 77U), 14U, 20U, 1U);
add_config(TensorShape(333U, 280U, 77U, 1U), 14U, 20U, 1U);
add_config(TensorShape(120U, 300U, 8U, 3U), 20U, 15U, 8U);
add_config(TensorShape(233U, 300U, 8U, 3U, 2U), 20U, 15U, 8U);
add_config(TensorShape(333U, 280U, 12U, 5U), 20U, 14U, 12U);
add_config(TensorShape(177U, 300U, 12U, 5U), 15U, 20U, 12U);
add_config(TensorShape(450U, 400U, 16U, 5U), 20U, 20U, 16U);
add_config(TensorShape(220U, 400U, 16U, 5U), 20U, 20U, 16U);
}
};
} // namespace datasets
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_COL2IM_DATASET */