text: /*
   * Copyright (c) 2017-2020 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_NEON_HELPER_H
  #define ARM_COMPUTE_TEST_NEON_HELPER_H
  
  #include "arm_compute/runtime/Array.h"
  #include "arm_compute/runtime/NEON/INESimpleFunction.h"
  #include "support/MemorySupport.h"
  #include "tests/Globals.h"
  
  #include <algorithm>
  #include <array>
  #include <vector>
  
  namespace arm_compute
  {
  namespace test
  {
  template <typename D, typename T, typename... Ts>
  void fill_tensors(D &&dist, std::initializer_list<int> seeds, T &&tensor, Ts &&... other_tensors)
  {
      const std::array < T, 1 + sizeof...(Ts) > tensors{ { std::forward<T>(tensor), std::forward<Ts>(other_tensors)... } };
      std::vector<int> vs(seeds);
      ARM_COMPUTE_ERROR_ON(vs.size() != tensors.size());
      int k = 0;
      for(auto tp : tensors)
      {
          library->fill(Accessor(*tp), std::forward<D>(dist), vs[k++]);
      }
  }
  
  /** This template synthetizes an INESimpleFunction which runs the given kernel K */
  template <typename K>
  class NESynthetizeFunction : public INESimpleFunction
  {
  public:
      /** Configure the kernel.
       *
       * @param[in] args Configuration arguments.
       */
      template <typename... Args>
      void configure(Args &&... args)
      {
          auto k = arm_compute::support::cpp14::make_unique<K>();
          k->configure(std::forward<Args>(args)...);
          _kernel = std::move(k);
      }
      /** Validate input arguments
       *
       * @param[in] args Configuration arguments.
       */
      template <typename... Args>
      static Status validate(Args &&... args)
      {
          return K::validate(std::forward<Args>(args)...);
      }
  };
  
  /** As above but this also setups a Zero border on the input tensor of the specified bordersize */
  template <typename K, int bordersize>
  class NESynthetizeFunctionWithZeroConstantBorder : public INESimpleFunction
  {
  public:
      /** Configure the kernel.
       *
       * @param[in] first First configuration argument.
       * @param[in] args  Rest of the configuration arguments.
       */
      template <typename T, typename... Args>
      void configure(T first, Args &&... args)
      {
          auto k = arm_compute::support::cpp14::make_unique<K>();
          k->configure(first, std::forward<Args>(args)...);
          _kernel = std::move(k);
          _border_handler.configure(first, BorderSize(bordersize), BorderMode::CONSTANT, PixelValue());
      }
  };
  
  /** As above but this also setups a Zero border on the input tensor of the kernel's bordersize */
  template <typename K>
  class NESynthetizeFunctionWithZeroConstantKernelBorder : public INESimpleFunction
  {
  public:
      /** Configure the kernel.
       *
       * @param[in] first First configuration argument.
       * @param[in] args  Rest of the configuration arguments.
       */
      template <typename T, typename... Args>
      void configure(T first, Args &&... args)
      {
          auto k = arm_compute::support::cpp14::make_unique<K>();
          k->configure(first, std::forward<Args>(args)...);
          _kernel = std::move(k);
          _border_handler.configure(first, BorderSize(_kernel->border_size()), BorderMode::CONSTANT, PixelValue());
      }
  };
  
  } // namespace test
  } // namespace arm_compute
  #endif /* ARM_COMPUTE_TEST_NEON_HELPER_H */
  