text: /*
   * 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_GEMMLOWP_DATASET
  #define ARM_COMPUTE_TEST_GEMMLOWP_DATASET
  
  #include "utils/TypePrinter.h"
  
  #include "arm_compute/core/TensorShape.h"
  
  namespace arm_compute
  {
  namespace test
  {
  namespace datasets
  {
  class GEMMLowpDataset
  {
  public:
      using type = std::tuple<TensorShape, TensorShape, TensorShape, int32_t, int32_t>;
  
      struct iterator
      {
          iterator(std::vector<TensorShape>::const_iterator a_it,
                   std::vector<TensorShape>::const_iterator b_it,
                   std::vector<TensorShape>::const_iterator c_it,
                   std::vector<int32_t>::const_iterator     a_offset_it,
                   std::vector<int32_t>::const_iterator     b_offset_it)
              : _a_it{ std::move(a_it) },
                _b_it{ std::move(b_it) },
                _c_it{ std::move(c_it) },
                _a_offset_it{ std::move(a_offset_it) },
                _b_offset_it{ std::move(b_offset_it) }
          {
          }
  
          std::string description() const
          {
              std::stringstream description;
              description << "A=" << *_a_it << ":";
              description << "B=" << *_b_it << ":";
              description << "C=" << *_c_it << ":";
              description << "a_offset=" << *_a_offset_it << ":";
              description << "b_offset=" << *_b_offset_it << ":";
              return description.str();
          }
  
          GEMMLowpDataset::type operator*() const
          {
              return std::make_tuple(*_a_it, *_b_it, *_c_it, *_a_offset_it, *_b_offset_it);
          }
  
          iterator &operator++()
          {
              ++_a_it;
              ++_b_it;
              ++_c_it;
              ++_a_offset_it;
              ++_b_offset_it;
  
              return *this;
          }
  
      private:
          std::vector<TensorShape>::const_iterator _a_it;
          std::vector<TensorShape>::const_iterator _b_it;
          std::vector<TensorShape>::const_iterator _c_it;
          std::vector<int32_t>::const_iterator     _a_offset_it;
          std::vector<int32_t>::const_iterator     _b_offset_it;
      };
  
      iterator begin() const
      {
          return iterator(_a_shapes.begin(), _b_shapes.begin(), _c_shapes.begin(), _a_offset.begin(), _b_offset.begin());
      }
  
      int size() const
      {
          return std::min(_a_shapes.size(), std::min(_b_shapes.size(), std::min(_c_shapes.size(), std::min(_a_offset.size(), _b_offset.size()))));
      }
  
      void add_config(TensorShape a, TensorShape b, TensorShape c, int32_t a_offset, int32_t b_offset)
      {
          _a_shapes.emplace_back(std::move(a));
          _b_shapes.emplace_back(std::move(b));
          _c_shapes.emplace_back(std::move(c));
          _a_offset.emplace_back(std::move(a_offset));
          _b_offset.emplace_back(std::move(b_offset));
      }
  
  protected:
      GEMMLowpDataset()                   = default;
      GEMMLowpDataset(GEMMLowpDataset &&) = default;
  
  private:
      std::vector<TensorShape> _a_shapes{};
      std::vector<TensorShape> _b_shapes{};
      std::vector<TensorShape> _c_shapes{};
      std::vector<int32_t>     _a_offset{};
      std::vector<int32_t>     _b_offset{};
  };
  } // namespace datasets
  } // namespace test
  } // namespace arm_compute
  #endif /* ARM_COMPUTE_TEST_GEMMLOWP_DATASET */
  