text: /*
   * Copyright (c) 2016-2019 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/runtime/NEON/functions/NESobel5x5.h"
  
  #include "arm_compute/core/ITensor.h"
  #include "arm_compute/core/PixelValue.h"
  #include "arm_compute/core/TensorInfo.h"
  #include "arm_compute/core/Validate.h"
  #include "arm_compute/runtime/NEON/NEScheduler.h"
  #include "arm_compute/runtime/TensorAllocator.h"
  
  using namespace arm_compute;
  
  NESobel5x5::NESobel5x5(std::shared_ptr<IMemoryManager> memory_manager)
      : _memory_group(std::move(memory_manager)), _sobel_hor(), _sobel_vert(), _tmp_x(), _tmp_y(), _border_handler()
  {
  }
  
  void NESobel5x5::configure(ITensor *input, ITensor *output_x, ITensor *output_y, BorderMode border_mode, uint8_t constant_border_value)
  {
      ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8);
  
      const bool run_sobel_x = output_x != nullptr;
      const bool run_sobel_y = output_y != nullptr;
  
      TensorInfo tensor_info(input->info()->tensor_shape(), Format::S16);
  
      if(run_sobel_x && run_sobel_y)
      {
          _tmp_x.allocator()->init(tensor_info);
          _tmp_y.allocator()->init(tensor_info);
          _memory_group.manage(&_tmp_x);
          _memory_group.manage(&_tmp_y);
          _sobel_hor.configure(input, &_tmp_x, &_tmp_y, border_mode == BorderMode::UNDEFINED);
          _sobel_vert.configure(&_tmp_x, &_tmp_y, output_x, output_y, border_mode == BorderMode::UNDEFINED);
          _tmp_x.allocator()->allocate();
          _tmp_y.allocator()->allocate();
      }
      else if(run_sobel_x)
      {
          _tmp_x.allocator()->init(tensor_info);
          _memory_group.manage(&_tmp_x);
          _sobel_hor.configure(input, &_tmp_x, nullptr, border_mode == BorderMode::UNDEFINED);
          _sobel_vert.configure(&_tmp_x, nullptr, output_x, nullptr, border_mode == BorderMode::UNDEFINED);
          _tmp_x.allocator()->allocate();
      }
      else if(run_sobel_y)
      {
          _tmp_y.allocator()->init(tensor_info);
          _memory_group.manage(&_tmp_y);
          _sobel_hor.configure(input, nullptr, &_tmp_y, border_mode == BorderMode::UNDEFINED);
          _sobel_vert.configure(nullptr, &_tmp_y, nullptr, output_y, border_mode == BorderMode::UNDEFINED);
          _tmp_y.allocator()->allocate();
      }
  
      _border_handler.configure(input, _sobel_hor.border_size(), border_mode, PixelValue(constant_border_value));
  }
  
  void NESobel5x5::run()
  {
      NEScheduler::get().schedule(&_border_handler, Window::DimZ);
  
      MemoryGroupResourceScope scope_mg(_memory_group);
  
      NEScheduler::get().schedule(&_sobel_hor, Window::DimY);
      NEScheduler::get().schedule(&_sobel_vert, Window::DimY);
  }
  