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/*
* Copyright (c) 2017 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_CONVOLUTION_LAYER_DATASET
#define ARM_COMPUTE_TEST_CONVOLUTION_LAYER_DATASET
#include "tests/TypePrinter.h"
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
namespace arm_compute
{
namespace test
{
namespace datasets
{
class ConvolutionLayerDataset
{
public:
using type = std::tuple<TensorShape, TensorShape, TensorShape, TensorShape, PadStrideInfo>;
struct iterator
{
iterator(std::vector<TensorShape>::const_iterator src_it,
std::vector<TensorShape>::const_iterator weights_it,
std::vector<TensorShape>::const_iterator biases_it,
std::vector<TensorShape>::const_iterator dst_it,
std::vector<PadStrideInfo>::const_iterator infos_it)
: _src_it{ std::move(src_it) },
_weights_it{ std::move(weights_it) },
_biases_it{ std::move(biases_it) },
_dst_it{ std::move(dst_it) },
_infos_it{ std::move(infos_it) }
{
}
std::string description() const
{
std::stringstream description;
description << "In=" << *_src_it << ":";
description << "Weights=" << *_weights_it << ":";
description << "Biases=" << *_biases_it << ":";
description << "Out=" << *_dst_it << ":";
description << "Info=" << *_infos_it;
return description.str();
}
ConvolutionLayerDataset::type operator*() const
{
return std::make_tuple(*_src_it, *_weights_it, *_biases_it, *_dst_it, *_infos_it);
}
iterator &operator++()
{
++_src_it;
++_weights_it;
++_biases_it;
++_dst_it;
++_infos_it;
return *this;
}
private:
std::vector<TensorShape>::const_iterator _src_it;
std::vector<TensorShape>::const_iterator _weights_it;
std::vector<TensorShape>::const_iterator _biases_it;
std::vector<TensorShape>::const_iterator _dst_it;
std::vector<PadStrideInfo>::const_iterator _infos_it;
};
iterator begin() const
{
return iterator(_src_shapes.begin(), _weight_shapes.begin(), _bias_shapes.begin(), _dst_shapes.begin(), _infos.begin());
}
int size() const
{
return std::min(_src_shapes.size(), std::min(_weight_shapes.size(), std::min(_bias_shapes.size(), std::min(_dst_shapes.size(), _infos.size()))));
}
void add_config(TensorShape src, TensorShape weights, TensorShape biases, TensorShape dst, PadStrideInfo info)
{
_src_shapes.emplace_back(std::move(src));
_weight_shapes.emplace_back(std::move(weights));
_bias_shapes.emplace_back(std::move(biases));
_dst_shapes.emplace_back(std::move(dst));
_infos.emplace_back(std::move(info));
}
protected:
ConvolutionLayerDataset() = default;
ConvolutionLayerDataset(ConvolutionLayerDataset &&) = default;
private:
std::vector<TensorShape> _src_shapes{};
std::vector<TensorShape> _weight_shapes{};
std::vector<TensorShape> _bias_shapes{};
std::vector<TensorShape> _dst_shapes{};
std::vector<PadStrideInfo> _infos{};
};
} // namespace datasets
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_CONVOLUTION_LAYER_DATASET */
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