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