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/CLWarpAffineKernel.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/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 <cstddef>
  #include <set>
  #include <sstream>
  #include <string>
  
  using namespace arm_compute;
  
  namespace
  {
  void options_add_matrix(std::set<std::string> &options, const float *matrix, size_t size)
  {
      for(size_t i = 0; i < size; ++i)
      {
          std::stringstream mat_str;
          mat_str << "-DMAT" << i << "=" << matrix[i] << " ";
          options.insert(mat_str.str());
      }
  }
  } // namespace
  
  BorderSize CLWarpAffineKernel::border_size() const
  {
      return BorderSize(1);
  }
  
  void CLWarpAffineKernel::configure(const ICLTensor *input, ICLTensor *output, const float *matrix, InterpolationPolicy policy)
  {
      ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8);
      ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8);
      ARM_COMPUTE_ERROR_ON(InterpolationPolicy::AREA == policy);
  
      _input  = input;
      _output = output;
  
      // Create build options
      std::set<std::string> options;
      options_add_matrix(options, matrix, 6);
      options.emplace(("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type())));
  
      // Create kernel
      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 = "warp_affine_" + interpolation_name;
      _kernel                 = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, options));
  
      // Set static kernel arguments
      unsigned int idx = 2 * num_arguments_per_2D_tensor(); //Skip the input and output parameters
      _kernel.setArg<cl_int>(idx++, input->info()->dimension(0));
      _kernel.setArg<cl_int>(idx++, input->info()->dimension(1));
  
      // Configure kernel window
      const unsigned int num_elems_processed_per_iteration = 4;
  
      Window win = calculate_max_window(*output->info(), Steps(num_elems_processed_per_iteration));
  
      int       total_right  = ceil_to_multiple(input->info()->dimension(0), num_elems_processed_per_iteration);
      const int access_right = total_right + (((total_right - input->info()->dimension(0)) == 0) ? border_size().right : 0);
  
      AccessWindowStatic     input_access(input->info(), -border_size().left, -border_size().top, access_right, input->info()->dimension(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, ValidRegion(Coordinates(), output->info()->tensor_shape()));
  
      ICLKernel::configure(win);
  }
  