text: /*
   * Copyright (c) 2019-2021 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_DEPTH_TO_SPACE_LAYER_FIXTURE
  #define ARM_COMPUTE_TEST_DEPTH_TO_SPACE_LAYER_FIXTURE
  
  #include "tests/Globals.h"
  #include "tests/framework/Asserts.h"
  #include "tests/framework/Fixture.h"
  #include "tests/validation/reference/DepthToSpaceLayer.h"
  
  namespace arm_compute
  {
  namespace test
  {
  namespace validation
  {
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class DepthToSpaceLayerValidationFixture : public framework::Fixture
  {
  public:
      template <typename...>
      void setup(TensorShape input_shape, int32_t block_shape, TensorShape output_shape, DataType data_type, DataLayout data_layout)
      {
          _target    = compute_target(input_shape, block_shape, output_shape, data_type, data_layout);
          _reference = compute_reference(input_shape, block_shape, output_shape, data_type);
      }
  
  protected:
      template <typename U>
      void fill(U &&tensor, int i)
      {
          static_assert(std::is_floating_point<T>::value || std::is_same<T, half>::value, "Only floating point data types supported.");
          using DistributionType = typename std::conditional<std::is_same<T, half>::value, arm_compute::utils::uniform_real_distribution_16bit<T>, std::uniform_real_distribution<T>>::type;
  
          DistributionType distribution{ T(-1.0f), T(1.0f) };
          library->fill(tensor, distribution, i);
      }
      TensorType compute_target(TensorShape input_shape, int32_t block_shape, TensorShape output_shape,
                                DataType data_type, DataLayout data_layout)
      {
          if(data_layout == DataLayout::NHWC)
          {
              permute(input_shape, PermutationVector(2U, 0U, 1U));
              permute(output_shape, PermutationVector(2U, 0U, 1U));
          }
  
          // Create tensors
          TensorType input  = create_tensor<TensorType>(input_shape, data_type, 1, QuantizationInfo(), data_layout);
          TensorType output = create_tensor<TensorType>(output_shape, data_type, 1, QuantizationInfo(), data_layout);
  
          // Create and configure function
          FunctionType depth_to_space;
          depth_to_space.configure(&input, &output, block_shape);
  
          ARM_COMPUTE_ASSERT(input.info()->is_resizable());
          ARM_COMPUTE_ASSERT(output.info()->is_resizable());
  
          // Allocate tensors
          input.allocator()->allocate();
          output.allocator()->allocate();
  
          ARM_COMPUTE_ASSERT(!input.info()->is_resizable());
          ARM_COMPUTE_ASSERT(!output.info()->is_resizable());
  
          // Fill tensors
          fill(AccessorType(input), 0);
  
          // Compute function
          depth_to_space.run();
  
          return output;
      }
  
      SimpleTensor<T> compute_reference(const TensorShape &input_shape, int32_t block_shape,
                                        const TensorShape &output_shape, DataType data_type)
      {
          // Create reference
          SimpleTensor<T> input{ input_shape, data_type };
  
          // Fill reference
          fill(input, 0);
  
          // Compute reference
          return reference::depth_to_space(input, output_shape, block_shape);
      }
  
      TensorType      _target{};
      SimpleTensor<T> _reference{};
  };
  } // namespace validation
  } // namespace test
  } // namespace arm_compute
  #endif /* ARM_COMPUTE_TEST_DEPTH_TO_SPACE_LAYER_FIXTURE */
  