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/*
* Copyright (c) 2018-2020 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_SPLIT_DATASET
#define ARM_COMPUTE_TEST_SPLIT_DATASET
#include "utils/TypePrinter.h"
#include "arm_compute/core/Types.h"
namespace arm_compute
{
namespace test
{
namespace datasets
{
class SplitDataset
{
public:
using type = std::tuple<TensorShape, unsigned int, unsigned int>;
struct iterator
{
iterator(std::vector<TensorShape>::const_iterator tensor_shapes_it,
std::vector<unsigned int>::const_iterator axis_values_it,
std::vector<unsigned int>::const_iterator splits_values_it)
: _tensor_shapes_it{ std::move(tensor_shapes_it) },
_axis_values_it{ std::move(axis_values_it) },
_splits_values_it{ std::move(splits_values_it) }
{
}
std::string description() const
{
std::stringstream description;
description << "Shape=" << *_tensor_shapes_it << ":";
description << "Axis=" << *_axis_values_it << ":";
description << "Splits=" << *_splits_values_it << ":";
return description.str();
}
SplitDataset::type operator*() const
{
return std::make_tuple(*_tensor_shapes_it, *_axis_values_it, *_splits_values_it);
}
iterator &operator++()
{
++_tensor_shapes_it;
++_axis_values_it;
++_splits_values_it;
return *this;
}
private:
std::vector<TensorShape>::const_iterator _tensor_shapes_it;
std::vector<unsigned int>::const_iterator _axis_values_it;
std::vector<unsigned int>::const_iterator _splits_values_it;
};
iterator begin() const
{
return iterator(_tensor_shapes.begin(), _axis_values.begin(), _splits_values.begin());
}
int size() const
{
return std::min(_tensor_shapes.size(), std::min(_axis_values.size(), _splits_values.size()));
}
void add_config(TensorShape shape, unsigned int axis, unsigned int splits)
{
_tensor_shapes.emplace_back(std::move(shape));
_axis_values.emplace_back(axis);
_splits_values.emplace_back(splits);
}
protected:
SplitDataset() = default;
SplitDataset(SplitDataset &&) = default;
private:
std::vector<TensorShape> _tensor_shapes{};
std::vector<unsigned int> _axis_values{};
std::vector<unsigned int> _splits_values{};
};
class SmallSplitDataset final : public SplitDataset
{
public:
SmallSplitDataset()
{
add_config(TensorShape(128U), 0U, 4U);
add_config(TensorShape(6U, 3U, 4U), 2U, 2U);
add_config(TensorShape(27U, 14U, 2U), 1U, 2U);
add_config(TensorShape(64U, 32U, 4U, 6U), 3U, 3U);
}
};
class LargeSplitDataset final : public SplitDataset
{
public:
LargeSplitDataset()
{
add_config(TensorShape(512U), 0U, 8U);
add_config(TensorShape(128U, 64U, 8U), 2U, 2U);
add_config(TensorShape(128U, 64U, 8U, 2U), 1U, 2U);
add_config(TensorShape(128U, 64U, 32U, 4U), 3U, 4U);
}
};
class SplitShapesDataset
{
public:
using type = std::tuple<TensorShape, unsigned int, std::vector<TensorShape>>;
struct iterator
{
iterator(std::vector<TensorShape>::const_iterator tensor_shapes_it,
std::vector<unsigned int>::const_iterator axis_values_it,
std::vector<std::vector<TensorShape>>::const_iterator split_shapes_values_it)
: _tensor_shapes_it{ std::move(tensor_shapes_it) },
_axis_values_it{ std::move(axis_values_it) },
_split_shapes_values_it{ std::move(split_shapes_values_it) }
{
}
std::string description() const
{
std::stringstream description;
description << "Shape=" << *_tensor_shapes_it << ":";
description << "Axis=" << *_axis_values_it << ":";
description << "Split shapes=" << *_split_shapes_values_it << ":";
return description.str();
}
SplitShapesDataset::type operator*() const
{
return std::make_tuple(*_tensor_shapes_it, *_axis_values_it, *_split_shapes_values_it);
}
iterator &operator++()
{
++_tensor_shapes_it;
++_axis_values_it;
++_split_shapes_values_it;
return *this;
}
private:
std::vector<TensorShape>::const_iterator _tensor_shapes_it;
std::vector<unsigned int>::const_iterator _axis_values_it;
std::vector<std::vector<TensorShape>>::const_iterator _split_shapes_values_it;
};
iterator begin() const
{
return iterator(_tensor_shapes.begin(), _axis_values.begin(), _split_shapes_values.begin());
}
int size() const
{
return std::min(_tensor_shapes.size(), std::min(_axis_values.size(), _split_shapes_values.size()));
}
void add_config(TensorShape shape, unsigned int axis, std::vector<TensorShape> split_shapes)
{
_tensor_shapes.emplace_back(std::move(shape));
_axis_values.emplace_back(axis);
_split_shapes_values.emplace_back(split_shapes);
}
protected:
SplitShapesDataset() = default;
SplitShapesDataset(SplitShapesDataset &&) = default;
private:
std::vector<TensorShape> _tensor_shapes{};
std::vector<unsigned int> _axis_values{};
std::vector<std::vector<TensorShape>> _split_shapes_values{};
};
class SmallSplitShapesDataset final : public SplitShapesDataset
{
public:
SmallSplitShapesDataset()
{
add_config(TensorShape(27U, 3U, 16U, 2U), 2U, std::vector<TensorShape> { TensorShape(27U, 3U, 4U, 2U),
TensorShape(27U, 3U, 4U, 2U),
TensorShape(27U, 3U, 8U, 2U)
});
}
};
} // namespace datasets
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_SPLIT_DATASET */
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