text: /*
   * Copyright (c) 2017-2018 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/NEDepthConcatenateLayer.h"
  
  #include "arm_compute/core/Error.h"
  #include "arm_compute/core/Helpers.h"
  #include "arm_compute/core/ITensor.h"
  #include "arm_compute/core/PixelValue.h"
  #include "arm_compute/core/Types.h"
  #include "arm_compute/runtime/NEON/NEScheduler.h"
  #include "support/ToolchainSupport.h"
  
  using namespace arm_compute;
  
  NEDepthConcatenateLayer::NEDepthConcatenateLayer() // NOLINT
      : _inputs_vector(),
        _concat_kernels_vector(),
        _border_handlers_vector(),
        _num_inputs(0)
  {
  }
  
  void NEDepthConcatenateLayer::configure(std::vector<ITensor *> inputs_vector, ITensor *output) // NOLINT
  {
      ARM_COMPUTE_ERROR_ON(inputs_vector.size() < 2);
  
      _num_inputs             = inputs_vector.size();
      _concat_kernels_vector  = arm_compute::support::cpp14::make_unique<NEDepthConcatenateLayerKernel[]>(_num_inputs);
      _border_handlers_vector = arm_compute::support::cpp14::make_unique<NEFillBorderKernel[]>(_num_inputs);
  
      TensorShape output_shape = calculate_depth_concatenate_shape(inputs_vector);
  
      // Output auto inizialitation if not yet initialized
      auto_init_if_empty(*output->info(), output_shape, 1, inputs_vector[0]->info()->data_type(), inputs_vector[0]->info()->fixed_point_position());
  
      unsigned int depth_offset = 0;
      for(unsigned int i = 0; i < _num_inputs; ++i)
      {
          _concat_kernels_vector[i].configure(inputs_vector.at(i), depth_offset, output);
          _border_handlers_vector[i].configure(inputs_vector.at(i), _concat_kernels_vector[i].border_size(), BorderMode::CONSTANT, PixelValue(static_cast<float>(0.f)));
  
          depth_offset += inputs_vector.at(i)->info()->dimension(2);
      }
  
      // Set valid region from shape
      output->info()->set_valid_region(ValidRegion(Coordinates(), output_shape));
  }
  
  void NEDepthConcatenateLayer::run()
  {
      for(unsigned i = 0; i < _num_inputs; ++i)
      {
          NEScheduler::get().schedule(&_border_handlers_vector[i], Window::DimX);
          NEScheduler::get().schedule(&_concat_kernels_vector[i], Window::DimX);
      }
  }
  