text: /*
   * Copyright (c) 2016, 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.
   */
  #include "arm_compute/core/CL/kernels/CLScaleKernel.h"
  
  #include "arm_compute/core/AccessWindowStatic.h"
  #include "arm_compute/core/CL/CLHelpers.h"
  #include "arm_compute/core/CL/CLKernelLibrary.h"
  #include "arm_compute/core/CL/ICLKernel.h"
  #include "arm_compute/core/CL/ICLTensor.h"
  #include "arm_compute/core/CL/OpenCL.h"
  #include "arm_compute/core/Error.h"
  #include "arm_compute/core/Helpers.h"
  #include "arm_compute/core/TensorInfo.h"
  #include "arm_compute/core/Validate.h"
  
  #include <set>
  #include <string>
  
  using namespace arm_compute;
  
  BorderSize CLScaleKernel::border_size() const
  {
      return BorderSize(1);
  }
  
  void CLScaleKernel::configure(const ICLTensor *input, ICLTensor *output, InterpolationPolicy policy, bool border_undefined)
  {
      ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S16, DataType::F16, DataType::F32);
      ARM_COMPUTE_ERROR_ON_NULLPTR(output);
      ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
      ARM_COMPUTE_ERROR_ON(output == input);
  
      _input  = input;
      _output = output;
  
      /* Compute the ratio between source width/height and destination width/height */
      const auto wr = static_cast<float>(input->info()->dimension(0)) / static_cast<float>(output->info()->dimension(0));
      const auto hr = static_cast<float>(input->info()->dimension(1)) / static_cast<float>(output->info()->dimension(1));
  
      /* Area interpolation behaves as Nearest Neighbour in case of up-sampling */
      if(policy == InterpolationPolicy::AREA && wr <= 1.f && hr <= 1.f)
      {
          policy = InterpolationPolicy::NEAREST_NEIGHBOR;
      }
      else
      {
          ARM_COMPUTE_ERROR_ON(policy == InterpolationPolicy::AREA);
      }
  
      // Create kernel
      std::set<std::string> build_opts         = { ("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type())) };
      std::string           interpolation_name = string_from_interpolation_policy(policy);
      std::transform(interpolation_name.begin(), interpolation_name.end(), interpolation_name.begin(), ::tolower);
      std::string kernel_name = "scale_" + interpolation_name;
      _kernel                 = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts));
  
      // Configure kernel window
      constexpr unsigned int num_elems_processed_per_iteration = 4;
  
      Window win = calculate_max_window(*output->info(), Steps(num_elems_processed_per_iteration));
  
      const ValidRegion &input_valid_region = input->info()->valid_region();
  
      // Reads can occur within the valid region of the input
      AccessWindowStatic input_access(input->info(),
                                      input_valid_region.anchor[0] - border_size().left, input_valid_region.anchor[1] - border_size().top,
                                      input_valid_region.anchor[0] + input_valid_region.shape[0] + border_size().right,
                                      input_valid_region.anchor[1] + input_valid_region.shape[1] + border_size().bottom);
  
      AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration);
  
      update_window_and_padding(win, input_access, output_access);
  
      output_access.set_valid_region(win, calculate_valid_region_scale(*(input->info()), output->info()->tensor_shape(), policy, border_size(),
                                                                       border_undefined));
  
      ICLKernel::configure(win);
  
      // Set static kernel arguments
      const float scale_x = static_cast<float>(input->info()->dimension(0)) / output->info()->dimension(0);
      const float scale_y = static_cast<float>(input->info()->dimension(1)) / output->info()->dimension(1);
  
      unsigned int idx = 2 * num_arguments_per_2D_tensor(); //Skip the input and output parameters
      _kernel.setArg<float>(idx++, input->info()->dimension(0));
      _kernel.setArg<float>(idx++, input->info()->dimension(1));
      _kernel.setArg<float>(idx++, scale_x);
      _kernel.setArg<float>(idx++, scale_y);
  }
  