134 lines
4.2 KiB
C++
134 lines
4.2 KiB
C++
/*
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* Copyright (c) 2018-2019 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_PRIORBOX_LAYER_DATASET
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#define ARM_COMPUTE_TEST_PRIORBOX_LAYER_DATASET
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#include "utils/TypePrinter.h"
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#include "arm_compute/core/TensorShape.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 PriorBoxLayerDataset
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{
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public:
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using type = std::tuple<TensorShape, PriorBoxLayerInfo>;
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struct iterator
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{
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iterator(std::vector<TensorShape>::const_iterator src_it,
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std::vector<PriorBoxLayerInfo>::const_iterator infos_it)
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: _src_it{ std::move(src_it) },
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_infos_it{ std::move(infos_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 << "In=" << *_src_it << ":";
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description << "Info=" << *_infos_it << ":";
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return description.str();
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}
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PriorBoxLayerDataset::type operator*() const
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{
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return std::make_tuple(*_src_it, *_infos_it);
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}
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iterator &operator++()
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{
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++_src_it;
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++_infos_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_it;
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std::vector<PriorBoxLayerInfo>::const_iterator _infos_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(), _infos.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(), _infos.size());
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}
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void add_config(TensorShape src, PriorBoxLayerInfo info)
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{
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_src_shapes.emplace_back(std::move(src));
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_infos.emplace_back(std::move(info));
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}
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protected:
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PriorBoxLayerDataset() = default;
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PriorBoxLayerDataset(PriorBoxLayerDataset &&) = default;
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private:
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std::vector<TensorShape> _src_shapes{};
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std::vector<PriorBoxLayerInfo> _infos{};
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};
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class SmallPriorBoxLayerDataset final : public PriorBoxLayerDataset
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{
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public:
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SmallPriorBoxLayerDataset()
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{
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std::vector<float> min_val = { 30.f };
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std::vector<float> var = { 0.1, 0.1, 0.2, 0.2 };
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std::vector<float> max_val = { 60.f };
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std::vector<float> aspect_ratio = { 2.f };
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std::array<float, 2> steps = { { 8.f, 8.f } };
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add_config(TensorShape(4U, 4U), PriorBoxLayerInfo(min_val, var, 0.5f, true, false, max_val, aspect_ratio, Coordinates2D{ 8, 8 }, steps));
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}
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};
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class LargePriorBoxLayerDataset final : public PriorBoxLayerDataset
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{
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public:
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LargePriorBoxLayerDataset()
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{
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std::vector<float> min_val = { 30.f };
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std::vector<float> var = { 0.1, 0.1, 0.2, 0.2 };
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std::vector<float> max_val = { 60.f };
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std::vector<float> aspect_ratio = { 2.f };
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std::array<float, 2> steps = { { 8.f, 8.f } };
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add_config(TensorShape(150U, 245U, 4U, 12U), PriorBoxLayerInfo(min_val, var, 0.5f, true, false, max_val, aspect_ratio, Coordinates2D{ 8, 8 }, steps));
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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_PRIORBOX_LAYER_DATASET */
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