141 lines
6.1 KiB
C++
141 lines
6.1 KiB
C++
/*
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* Copyright (c) 2019 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_TEST_CROP_RESIZE_DATASET
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#define ARM_COMPUTE_TEST_CROP_RESIZE_DATASET
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#include "utils/TypePrinter.h"
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#include "arm_compute/core/Types.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace datasets
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{
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class CropResizeDataset
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{
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public:
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using type = std::tuple<TensorShape, TensorShape, Coordinates2D, InterpolationPolicy, float>;
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struct iterator
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{
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iterator(std::vector<TensorShape>::const_iterator src_shapes_it,
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std::vector<TensorShape>::const_iterator boxes_shapes_it,
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std::vector<Coordinates2D>::const_iterator crop_size_values_it,
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std::vector<InterpolationPolicy>::const_iterator method_values_it,
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std::vector<float>::const_iterator extrapolation_values_it)
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: _src_shapes_it{ std::move(src_shapes_it) },
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_boxes_shapes_it{ std::move(boxes_shapes_it) },
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_crop_size_values_it{ std::move(crop_size_values_it) },
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_method_values_it{ std::move(method_values_it) },
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_extrapolation_values_it{ std::move(extrapolation_values_it) }
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{
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}
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std::string description() const
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{
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std::stringstream description;
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description << "Src_Shape=" << *_src_shapes_it << ":";
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description << "Boxes_Shape=" << *_boxes_shapes_it << ":";
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description << "Crop_Size=(" << (*_crop_size_values_it).x << "," << (*_crop_size_values_it).y << "):";
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description << "Method=" << *_method_values_it << ":";
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description << "Extrapolation_value=" << *_extrapolation_values_it << ":";
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return description.str();
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}
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CropResizeDataset::type operator*() const
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{
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return std::make_tuple(*_src_shapes_it, *_boxes_shapes_it, *_crop_size_values_it, *_method_values_it, *_extrapolation_values_it);
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}
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iterator &operator++()
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{
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++_src_shapes_it;
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++_boxes_shapes_it;
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++_crop_size_values_it;
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++_method_values_it;
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++_extrapolation_values_it;
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return *this;
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}
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private:
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std::vector<TensorShape>::const_iterator _src_shapes_it;
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std::vector<TensorShape>::const_iterator _boxes_shapes_it;
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std::vector<Coordinates2D>::const_iterator _crop_size_values_it;
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std::vector<InterpolationPolicy>::const_iterator _method_values_it;
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std::vector<float>::const_iterator _extrapolation_values_it;
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};
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iterator begin() const
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{
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return iterator(_src_shapes.begin(), _boxes_shapes.begin(), _crop_size_values.begin(), _method_values.begin(), _extrapolation_values.begin());
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}
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int size() const
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{
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return std::min(_src_shapes.size(), std::min(_boxes_shapes.size(), std::min(_crop_size_values.size(), std::min(_method_values.size(), _extrapolation_values.size()))));
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}
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void add_config(TensorShape src_shape, TensorShape boxes_shape, Coordinates2D crop_size, InterpolationPolicy method, float extrapolation_value)
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{
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_src_shapes.emplace_back(std::move(src_shape));
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_boxes_shapes.emplace_back(std::move(boxes_shape));
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_crop_size_values.emplace_back(std::move(crop_size));
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_method_values.emplace_back(std::move(method));
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_extrapolation_values.emplace_back(std::move(extrapolation_value));
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}
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protected:
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CropResizeDataset() = default;
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CropResizeDataset(CropResizeDataset &&) = default;
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private:
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std::vector<TensorShape> _src_shapes{};
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std::vector<TensorShape> _boxes_shapes{};
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std::vector<Coordinates2D> _crop_size_values{};
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std::vector<InterpolationPolicy> _method_values{};
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std::vector<float> _extrapolation_values{};
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};
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class SmallCropResizeDataset final : public CropResizeDataset
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{
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public:
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SmallCropResizeDataset()
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{
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add_config(TensorShape(1U, 5U, 5U), TensorShape(4, 5), Coordinates2D{ 2, 2 }, InterpolationPolicy::BILINEAR, 100);
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add_config(TensorShape(3U, 5U, 5U), TensorShape(4, 5), Coordinates2D{ 2, 2 }, InterpolationPolicy::BILINEAR, 100);
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add_config(TensorShape(1U, 5U, 5U), TensorShape(4, 5), Coordinates2D{ 10, 10 }, InterpolationPolicy::BILINEAR, 100);
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add_config(TensorShape(15U, 30U, 30U, 10U), TensorShape(4, 20), Coordinates2D{ 10, 10 }, InterpolationPolicy::BILINEAR, 100);
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add_config(TensorShape(1U, 5U, 5U), TensorShape(4, 5), Coordinates2D{ 2, 2 }, InterpolationPolicy::NEAREST_NEIGHBOR, 100);
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add_config(TensorShape(3U, 5U, 5U), TensorShape(4, 5), Coordinates2D{ 2, 2 }, InterpolationPolicy::NEAREST_NEIGHBOR, 100);
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add_config(TensorShape(1U, 5U, 5U), TensorShape(4, 5), Coordinates2D{ 10, 10 }, InterpolationPolicy::NEAREST_NEIGHBOR, 100);
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add_config(TensorShape(15U, 30U, 30U, 10U), TensorShape(4, 20), Coordinates2D{ 10, 10 }, InterpolationPolicy::NEAREST_NEIGHBOR, 100);
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}
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};
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} // namespace datasets
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} // namespace test
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_TEST_CROP_RESIZE_DATASET */ |