120 lines
3.6 KiB
C++
120 lines
3.6 KiB
C++
/*
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* Copyright (c) 2017-2018 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_RESHAPE_LAYER_DATASET
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#define ARM_COMPUTE_TEST_RESHAPE_LAYER_DATASET
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#include "utils/TypePrinter.h"
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#include "arm_compute/core/TensorShape.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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/** [ReshapeLayer datasets] **/
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class ReshapeLayerDataset
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{
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public:
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using type = std::tuple<TensorShape, TensorShape>;
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struct iterator
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{
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iterator(std::vector<TensorShape>::const_iterator in_it, std::vector<TensorShape>::const_iterator out_it)
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: _in_it{ std::move(in_it) }, _out_it{ std::move(out_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=" << *_in_it << ":";
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description << "Out=" << *_out_it;
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return description.str();
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}
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ReshapeLayerDataset::type operator*() const
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{
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return std::make_tuple(*_in_it, *_out_it);
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}
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iterator &operator++()
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{
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++_in_it;
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++_out_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 _in_it;
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std::vector<TensorShape>::const_iterator _out_it;
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};
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iterator begin() const
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{
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return iterator(_in_shapes.begin(), _out_shapes.begin());
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}
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int size() const
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{
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return std::min(_in_shapes.size(), _out_shapes.size());
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}
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void add_config(TensorShape in, TensorShape out)
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{
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_in_shapes.emplace_back(std::move(in));
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_out_shapes.emplace_back(std::move(out));
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}
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protected:
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ReshapeLayerDataset() = default;
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ReshapeLayerDataset(ReshapeLayerDataset &&) = default;
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private:
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std::vector<TensorShape> _in_shapes{};
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std::vector<TensorShape> _out_shapes{};
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};
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/** [ReshapeLayer datasets] **/
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class SmallReshapeLayerDataset final : public ReshapeLayerDataset
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{
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public:
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SmallReshapeLayerDataset()
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{
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add_config(TensorShape(3U), TensorShape(1U, 1U, 3U));
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add_config(TensorShape(16U), TensorShape(4U, 2U, 2U));
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add_config(TensorShape(2U, 2U, 8U), TensorShape(4U, 8U));
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add_config(TensorShape(3U, 3U, 16U), TensorShape(144U));
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add_config(TensorShape(17U, 3U, 12U), TensorShape(1U, 1U, 612U));
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add_config(TensorShape(26U, 26U, 32U), TensorShape(13U, 13U, 128U));
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add_config(TensorShape(31U, 23U, 4U, 7U), TensorShape(2U, 14U, 713U));
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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_RESHAPE_LAYER_DATASET */
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