text: /*
  // Copyright (c) 2016 Intel Corporation
  //
  // Licensed under the Apache License, Version 2.0 (the "License");
  // you may not use this file except in compliance with the License.
  // You may obtain a copy of the License at
  //
  //      http://www.apache.org/licenses/LICENSE-2.0
  //
  // Unless required by applicable law or agreed to in writing, software
  // distributed under the License is distributed on an "AS IS" BASIS,
  // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  // See the License for the specific language governing permissions and
  // limitations under the License.
  */
  
  ///////////////////////////////////////////////////////////////////////////////////////////////////
  #pragma once
  #include "api/CPP/detection_output.hpp"
  #include "primitive_inst.h"
  #include "topology_impl.h"
  
  #define PRIOR_BOX_SIZE 4 // Each prior-box consists of [xmin, ymin, xmax, ymax].
  #define DETECTION_OUTPUT_ROW_SIZE (3+PRIOR_BOX_SIZE) // Each detection consists of [image_id, label, confidence, xmin, ymin, xmax, ymax].
  
  namespace cldnn
  {
  
  template <>
  class typed_program_node<detection_output> : public typed_program_node_base<detection_output>
  {
      using parent = typed_program_node_base<detection_output>;
  
  public:
      using parent::parent;
  
      program_node& input() const { return get_dependency(0); }
      program_node& location() const { return get_dependency(0); }
      program_node& confidence() const { return get_dependency(1); }
      program_node& prior_box() const { return get_dependency(2); }
  };
  
  using detection_output_node = typed_program_node<detection_output>;
  
  template <>
  class typed_primitive_inst<detection_output> : public typed_primitive_inst_base<detection_output>
  {
      using parent = typed_primitive_inst_base<detection_output>;
  
  public:
      static layout calc_output_layout(detection_output_node const& node);
      static std::string to_string(detection_output_node const& node);
  
  public:
      typed_primitive_inst(network_impl& network, detection_output_node const& node);
  
      memory_impl& location_memory() const { return dep_memory(0); }
      memory_impl& confidence_memory() const { return dep_memory(1); }
      memory_impl& prior_box_memory() const { return dep_memory(2); }
  };
  
  using detection_output_inst = typed_primitive_inst<detection_output>;
  
  template <>
  class typed_program_node<detection_output_sort> : public typed_program_node_base<detection_output_sort>
  {
      using parent = typed_program_node_base<detection_output_sort>;
  
  public:
      using parent::parent;
  
      program_node& input() const { return get_dependency(0); }
  };
  
  using detection_output_sort_node = typed_program_node<detection_output_sort>;
  
  template <>
  class typed_primitive_inst<detection_output_sort> : public typed_primitive_inst_base<detection_output_sort>
  {
      using parent = typed_primitive_inst_base<detection_output_sort>;
  
  public:
      static layout calc_output_layout(detection_output_sort_node const& node);
      static std::string to_string(detection_output_sort_node const& node);
  
  public:
      typed_primitive_inst(network_impl& network, detection_output_sort_node const& node);
  };
  
  using detection_output_sort_inst = typed_primitive_inst<detection_output_sort>;
  
  namespace gpu {
      primitive_impl* runDetectOutCpu(const detection_output_node& arg);
      primitive_impl* runDetectOutGpu(const detection_output_node& arg, kernel_selector::KernelData kernel);
      primitive_impl* runDetectOutSortGpu(const detection_output_sort_node& arg, kernel_selector::KernelData kernel);
  }
  
  }