text: // Copyright (C) 2018-2022 Intel Corporation
  // SPDX-License-Identifier: Apache-2.0
  //
  
  #pragma once
  
  #include "openvino/op/op.hpp"
  
  namespace ov {
  namespace op {
  namespace v1 {
  /// \brief Elementwise addition operation.
  ///
  /// \ingroup ov_ops_cpp_api
  class OPENVINO_API NonMaxSuppression : public Op {
  public:
      enum class BoxEncodingType { CORNER, CENTER };
  
      OPENVINO_OP("NonMaxSuppression", "opset1", op::Op, 1);
      BWDCMP_RTTI_DECLARATION;
  
      NonMaxSuppression() = default;
  
      /// \brief Constructs a NonMaxSuppression operation.
      ///
      /// \param boxes Node producing the box coordinates
      /// \param scores Node producing the box scores
      /// \param max_output_boxes_per_class Node producing maximum number of boxes to be
      /// selected per class
      /// \param iou_threshold Node producing intersection over union threshold
      /// \param score_threshold Node producing minimum score threshold
      /// \param box_encoding Specifies the format of boxes data encoding
      NonMaxSuppression(const Output<Node>& boxes,
                        const Output<Node>& scores,
                        const Output<Node>& max_output_boxes_per_class,
                        const Output<Node>& iou_threshold,
                        const Output<Node>& score_threshold,
                        const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
                        const bool sort_result_descending = true);
  
      /// \brief Constructs a NonMaxSuppression operation with default values for the last
      ///        3 inputs
      ///
      /// \param boxes Node producing the box coordinates
      /// \param scores Node producing the box coordinates
      /// \param box_encoding Specifies the format of boxes data encoding
      /// \param sort_result_descending Specifies whether it is necessary to sort selected
      /// boxes across batches
      /// \param output_type Specifies the output tensor type
      NonMaxSuppression(const Output<Node>& boxes,
                        const Output<Node>& scores,
                        const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
                        const bool sort_result_descending = true);
  
      bool visit_attributes(AttributeVisitor& visitor) override;
      void validate_and_infer_types() override;
  
      std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
  
      BoxEncodingType get_box_encoding() const {
          return m_box_encoding;
      }
      void set_box_encoding(const BoxEncodingType box_encoding) {
          m_box_encoding = box_encoding;
      }
      bool get_sort_result_descending() const {
          return m_sort_result_descending;
      }
      void set_sort_result_descending(const bool sort_result_descending) {
          m_sort_result_descending = sort_result_descending;
      }
  
  protected:
      BoxEncodingType m_box_encoding = BoxEncodingType::CORNER;
      bool m_sort_result_descending = true;
  
  private:
      int64_t max_boxes_output_from_input() const;
  };
  }  // namespace v1
  
  namespace v3 {
  /// \brief NonMaxSuppression operation
  ///
  /// \ingroup ov_ops_cpp_api
  class OPENVINO_API NonMaxSuppression : public Op {
  public:
      enum class BoxEncodingType { CORNER, CENTER };
  
      OPENVINO_OP("NonMaxSuppression", "opset3", op::Op, 3);
      BWDCMP_RTTI_DECLARATION;
      NonMaxSuppression() = default;
  
      /// \brief Constructs a NonMaxSuppression operation.
      ///
      /// \param boxes Node producing the box coordinates
      /// \param scores Node producing the box scores
      /// \param max_output_boxes_per_class Node producing maximum number of boxes to be
      /// selected per class
      /// \param iou_threshold Node producing intersection over union threshold
      /// \param score_threshold Node producing minimum score threshold
      /// \param box_encoding Specifies the format of boxes data encoding
      /// \param sort_result_descending Specifies whether it is necessary to sort selected
      /// boxes across batches
      /// \param output_type Specifies the output tensor type
      NonMaxSuppression(const Output<Node>& boxes,
                        const Output<Node>& scores,
                        const Output<Node>& max_output_boxes_per_class,
                        const Output<Node>& iou_threshold,
                        const Output<Node>& score_threshold,
                        const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
                        const bool sort_result_descending = true,
                        const ov::element::Type& output_type = ov::element::i64);
  
      /// \brief Constructs a NonMaxSuppression operation with default values for the last
      ///        3 inputs
      ///
      /// \param boxes Node producing the box coordinates
      /// \param scores Node producing the box coordinates
      /// \param box_encoding Specifies the format of boxes data encoding
      /// \param sort_result_descending Specifies whether it is necessary to sort selected
      /// boxes across batches
      /// \param output_type Specifies the output tensor type
      NonMaxSuppression(const Output<Node>& boxes,
                        const Output<Node>& scores,
                        const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
                        const bool sort_result_descending = true,
                        const ov::element::Type& output_type = ov::element::i64);
  
      bool visit_attributes(AttributeVisitor& visitor) override;
      void validate_and_infer_types() override;
  
      std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
  
      BoxEncodingType get_box_encoding() const {
          return m_box_encoding;
      }
      void set_box_encoding(const BoxEncodingType box_encoding) {
          m_box_encoding = box_encoding;
      }
      bool get_sort_result_descending() const {
          return m_sort_result_descending;
      }
      void set_sort_result_descending(const bool sort_result_descending) {
          m_sort_result_descending = sort_result_descending;
      }
  
      element::Type get_output_type() const {
          return m_output_type;
      }
      void set_output_type(const element::Type& output_type) {
          m_output_type = output_type;
      }
      using Node::set_output_type;
  
  protected:
      BoxEncodingType m_box_encoding = BoxEncodingType::CORNER;
      bool m_sort_result_descending = true;
      ov::element::Type m_output_type = ov::element::i64;
      void validate();
      int64_t max_boxes_output_from_input() const;
  };
  }  // namespace v3
  
  namespace v4 {
  /// \brief NonMaxSuppression operation
  ///
  /// \ingroup ov_ops_cpp_api
  class OPENVINO_API NonMaxSuppression : public op::v3::NonMaxSuppression {
  public:
      OPENVINO_OP("NonMaxSuppression", "opset4", op::v3::NonMaxSuppression, 4);
      BWDCMP_RTTI_DECLARATION;
      NonMaxSuppression() = default;
  
      /// \brief Constructs a NonMaxSuppression operation.
      ///
      /// \param boxes Node producing the box coordinates
      /// \param scores Node producing the box scores
      /// \param max_output_boxes_per_class Node producing maximum number of boxes to be
      /// selected per class
      /// \param iou_threshold Node producing intersection over union threshold
      /// \param score_threshold Node producing minimum score threshold
      /// \param box_encoding Specifies the format of boxes data encoding
      /// \param sort_result_descending Specifies whether it is necessary to sort selected
      /// boxes across batches
      /// \param output_type Specifies the output tensor type
      NonMaxSuppression(const Output<Node>& boxes,
                        const Output<Node>& scores,
                        const Output<Node>& max_output_boxes_per_class,
                        const Output<Node>& iou_threshold,
                        const Output<Node>& score_threshold,
                        const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
                        const bool sort_result_descending = true,
                        const ov::element::Type& output_type = ov::element::i64);
  
      /// \brief Constructs a NonMaxSuppression operation with default values for the last
      ///        3 inputs
      ///
      /// \param boxes Node producing the box coordinates
      /// \param scores Node producing the box coordinates
      /// \param box_encoding Specifies the format of boxes data encoding
      /// \param sort_result_descending Specifies whether it is necessary to sort selected
      /// boxes across batches
      /// \param output_type Specifies the output tensor type
      NonMaxSuppression(const Output<Node>& boxes,
                        const Output<Node>& scores,
                        const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
                        const bool sort_result_descending = true,
                        const ov::element::Type& output_type = ov::element::i64);
  
      void validate_and_infer_types() override;
  
      std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
  };
  }  // namespace v4
  
  namespace v5 {
  /// \brief NonMaxSuppression operation
  ///
  /// \ingroup ov_ops_cpp_api
  class OPENVINO_API NonMaxSuppression : public Op {
  public:
      OPENVINO_OP("NonMaxSuppression", "opset5", op::Op, 5);
      BWDCMP_RTTI_DECLARATION;
      enum class BoxEncodingType { CORNER, CENTER };
  
      NonMaxSuppression() = default;
  
      /// \brief Constructs a NonMaxSuppression operation with default values in the last
      ///        4 inputs.
      ///
      /// \param boxes Node producing the box coordinates
      /// \param scores Node producing the box scores
      /// \param box_encoding Specifies the format of boxes data encoding
      /// \param sort_result_descending Specifies whether it is necessary to sort selected
      /// boxes across batches
      /// \param output_type Specifies the output tensor type
      NonMaxSuppression(const Output<Node>& boxes,
                        const Output<Node>& scores,
                        const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
                        const bool sort_result_descending = true,
                        const ov::element::Type& output_type = ov::element::i64);
  
      /// \brief Constructs a NonMaxSuppression operation with default values in the last.
      ///        3 inputs.
      ///
      /// \param boxes Node producing the box coordinates
      /// \param scores Node producing the box scores
      /// \param max_output_boxes_per_class Node producing maximum number of boxes to be
      /// selected per class
      /// \param box_encoding Specifies the format of boxes data encoding
      /// \param sort_result_descending Specifies whether it is necessary to sort selected
      /// boxes across batches
      /// \param output_type Specifies the output tensor type
      NonMaxSuppression(const Output<Node>& boxes,
                        const Output<Node>& scores,
                        const Output<Node>& max_output_boxes_per_class,
                        const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
                        const bool sort_result_descending = true,
                        const ov::element::Type& output_type = ov::element::i64);
  
      /// \brief Constructs a NonMaxSuppression operation with default values in the last.
      ///        2 inputs.
      ///
      /// \param boxes Node producing the box coordinates
      /// \param scores Node producing the box scores
      /// \param max_output_boxes_per_class Node producing maximum number of boxes to be
      /// selected per class
      /// \param iou_threshold Node producing intersection over union threshold
      /// \param box_encoding Specifies the format of boxes data encoding
      /// \param sort_result_descending Specifies whether it is necessary to sort selected
      /// boxes across batches
      /// \param output_type Specifies the output tensor type
      NonMaxSuppression(const Output<Node>& boxes,
                        const Output<Node>& scores,
                        const Output<Node>& max_output_boxes_per_class,
                        const Output<Node>& iou_threshold,
                        const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
                        const bool sort_result_descending = true,
                        const ov::element::Type& output_type = ov::element::i64);
  
      /// \brief Constructs a NonMaxSuppression operation with default value in the last.
      ///        input.
      ///
      /// \param boxes Node producing the box coordinates
      /// \param scores Node producing the box scores
      /// \param max_output_boxes_per_class Node producing maximum number of boxes to be
      /// selected per class
      /// \param iou_threshold Node producing intersection over union threshold
      /// \param score_threshold Node producing minimum score threshold
      /// \param box_encoding Specifies the format of boxes data encoding
      /// \param sort_result_descending Specifies whether it is necessary to sort selected
      /// boxes across batches
      /// \param output_type Specifies the output tensor type
      NonMaxSuppression(const Output<Node>& boxes,
                        const Output<Node>& scores,
                        const Output<Node>& max_output_boxes_per_class,
                        const Output<Node>& iou_threshold,
                        const Output<Node>& score_threshold,
                        const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
                        const bool sort_result_descending = true,
                        const ov::element::Type& output_type = ov::element::i64);
  
      /// \brief Constructs a NonMaxSuppression operation.
      ///
      /// \param boxes Node producing the box coordinates
      /// \param scores Node producing the box scores
      /// \param max_output_boxes_per_class Node producing maximum number of boxes to be
      /// selected per class
      /// \param iou_threshold Node producing intersection over union threshold
      /// \param score_threshold Node producing minimum score threshold
      /// \param soft_nms_sigma Node specifying the sigma parameter for Soft-NMS
      /// \param box_encoding Specifies the format of boxes data encoding
      /// \param sort_result_descending Specifies whether it is necessary to sort selected
      /// boxes across batches
      /// \param output_type Specifies the output tensor type
      NonMaxSuppression(const Output<Node>& boxes,
                        const Output<Node>& scores,
                        const Output<Node>& max_output_boxes_per_class,
                        const Output<Node>& iou_threshold,
                        const Output<Node>& score_threshold,
                        const Output<Node>& soft_nms_sigma,
                        const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
                        const bool sort_result_descending = true,
                        const ov::element::Type& output_type = ov::element::i64);
  
      bool visit_attributes(AttributeVisitor& visitor) override;
      void validate_and_infer_types() override;
  
      std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
  
      BoxEncodingType get_box_encoding() const {
          return m_box_encoding;
      }
      void set_box_encoding(const BoxEncodingType box_encoding) {
          m_box_encoding = box_encoding;
      }
      bool get_sort_result_descending() const {
          return m_sort_result_descending;
      }
      void set_sort_result_descending(const bool sort_result_descending) {
          m_sort_result_descending = sort_result_descending;
      }
  
      element::Type get_output_type() const {
          return m_output_type;
      }
      void set_output_type(const element::Type& output_type) {
          m_output_type = output_type;
      }
      using Node::set_output_type;
  
      int64_t max_boxes_output_from_input() const;
      float iou_threshold_from_input() const;
      float score_threshold_from_input() const;
      float soft_nms_sigma_from_input() const;
      bool is_soft_nms_sigma_constant_and_default() const;
  
  protected:
      BoxEncodingType m_box_encoding = BoxEncodingType::CORNER;
      bool m_sort_result_descending = true;
      ov::element::Type m_output_type = ov::element::i64;
      void validate();
  };
  }  // namespace v5
  
  namespace v9 {
  /// \brief NonMaxSuppression operation
  ///
  class OPENVINO_API NonMaxSuppression : public Op {
  public:
      OPENVINO_OP("NonMaxSuppression", "opset9", op::Op, 9);
      BWDCMP_RTTI_DECLARATION;
      enum class BoxEncodingType { CORNER, CENTER };
  
      NonMaxSuppression() = default;
  
      /// \brief Constructs a NonMaxSuppression operation with default values in the last
      ///        4 inputs.
      ///
      /// \param boxes Node producing the box coordinates
      /// \param scores Node producing the box scores
      /// \param box_encoding Specifies the format of boxes data encoding
      /// \param sort_result_descending Specifies whether it is necessary to sort selected
      /// boxes across batches
      /// \param output_type Specifies the output tensor type
      NonMaxSuppression(const Output<Node>& boxes,
                        const Output<Node>& scores,
                        const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
                        const bool sort_result_descending = true,
                        const ov::element::Type& output_type = ov::element::i64);
  
      /// \brief Constructs a NonMaxSuppression operation with default values in the last
      ///        3 inputs.
      ///
      /// \param boxes Node producing the box coordinates
      /// \param scores Node producing the box scores
      /// \param max_output_boxes_per_class Node producing maximum number of boxes to be
      /// selected per class
      /// \param box_encoding Specifies the format of boxes data encoding
      /// \param sort_result_descending Specifies whether it is necessary to sort selected
      /// boxes across batches
      /// \param output_type Specifies the output tensor type
      NonMaxSuppression(const Output<Node>& boxes,
                        const Output<Node>& scores,
                        const Output<Node>& max_output_boxes_per_class,
                        const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
                        const bool sort_result_descending = true,
                        const ov::element::Type& output_type = ov::element::i64);
  
      /// \brief Constructs a NonMaxSuppression operation with default values in the last.
      ///        2 inputs.
      ///
      /// \param boxes Node producing the box coordinates
      /// \param scores Node producing the box scores
      /// \param max_output_boxes_per_class Node producing maximum number of boxes to be
      /// selected per class
      /// \param iou_threshold Node producing intersection over union threshold
      /// \param box_encoding Specifies the format of boxes data encoding
      /// \param sort_result_descending Specifies whether it is necessary to sort selected
      /// boxes across batches
      /// \param output_type Specifies the output tensor type
      NonMaxSuppression(const Output<Node>& boxes,
                        const Output<Node>& scores,
                        const Output<Node>& max_output_boxes_per_class,
                        const Output<Node>& iou_threshold,
                        const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
                        const bool sort_result_descending = true,
                        const ov::element::Type& output_type = ov::element::i64);
  
      /// \brief Constructs a NonMaxSuppression operation with default value in the last.
      ///        input.
      ///
      /// \param boxes Node producing the box coordinates
      /// \param scores Node producing the box scores
      /// \param max_output_boxes_per_class Node producing maximum number of boxes to be
      /// selected per class
      /// \param iou_threshold Node producing intersection over union threshold
      /// \param score_threshold Node producing minimum score threshold
      /// \param box_encoding Specifies the format of boxes data encoding
      /// \param sort_result_descending Specifies whether it is necessary to sort selected
      /// boxes across batches
      /// \param output_type Specifies the output tensor type
      NonMaxSuppression(const Output<Node>& boxes,
                        const Output<Node>& scores,
                        const Output<Node>& max_output_boxes_per_class,
                        const Output<Node>& iou_threshold,
                        const Output<Node>& score_threshold,
                        const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
                        const bool sort_result_descending = true,
                        const ov::element::Type& output_type = ov::element::i64);
  
      /// \brief Constructs a NonMaxSuppression operation.
      ///
      /// \param boxes Node producing the box coordinates
      /// \param scores Node producing the box scores
      /// \param max_output_boxes_per_class Node producing maximum number of boxes to be
      /// selected per class
      /// \param iou_threshold Node producing intersection over union threshold
      /// \param score_threshold Node producing minimum score threshold
      /// \param soft_nms_sigma Node specifying the sigma parameter for Soft-NMS
      /// \param box_encoding Specifies the format of boxes data encoding
      /// \param sort_result_descending Specifies whether it is necessary to sort selected
      /// boxes across batches
      /// \param output_type Specifies the output tensor type
      NonMaxSuppression(const Output<Node>& boxes,
                        const Output<Node>& scores,
                        const Output<Node>& max_output_boxes_per_class,
                        const Output<Node>& iou_threshold,
                        const Output<Node>& score_threshold,
                        const Output<Node>& soft_nms_sigma,
                        const BoxEncodingType box_encoding = BoxEncodingType::CORNER,
                        const bool sort_result_descending = true,
                        const ov::element::Type& output_type = ov::element::i64);
  
      bool visit_attributes(AttributeVisitor& visitor) override;
      void validate_and_infer_types() override;
  
      std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
  
      BoxEncodingType get_box_encoding() const {
          return m_box_encoding;
      }
      void set_box_encoding(const BoxEncodingType box_encoding) {
          m_box_encoding = box_encoding;
      }
  
      bool get_sort_result_descending() const {
          return m_sort_result_descending;
      }
      void set_sort_result_descending(const bool sort_result_descending) {
          m_sort_result_descending = sort_result_descending;
      }
  
      element::Type get_output_type() const {
          return m_output_type;
      }
      void set_output_type(const element::Type& output_type) {
          m_output_type = output_type;
      }
  
      using Node::set_output_type;
  
      int64_t max_boxes_output_from_input() const;
      float iou_threshold_from_input() const;
      float score_threshold_from_input() const;
      float soft_nms_sigma_from_input() const;
      bool is_soft_nms_sigma_constant_and_default() const;
  
  protected:
      BoxEncodingType m_box_encoding = BoxEncodingType::CORNER;
      bool m_sort_result_descending = true;
      ov::element::Type m_output_type = ov::element::i64;
      void validate();
  };
  }  // namespace v9
  }  // namespace op
  
  OPENVINO_API
  std::ostream& operator<<(std::ostream& s, const op::v1::NonMaxSuppression::BoxEncodingType& type);
  
  OPENVINO_API
  std::ostream& operator<<(std::ostream& s, const op::v3::NonMaxSuppression::BoxEncodingType& type);
  
  OPENVINO_API
  std::ostream& operator<<(std::ostream& s, const op::v5::NonMaxSuppression::BoxEncodingType& type);
  
  OPENVINO_API
  std::ostream& operator<<(std::ostream& s, const op::v9::NonMaxSuppression::BoxEncodingType& type);
  
  template <>
  class OPENVINO_API AttributeAdapter<op::v1::NonMaxSuppression::BoxEncodingType>
      : public EnumAttributeAdapterBase<op::v1::NonMaxSuppression::BoxEncodingType> {
  public:
      AttributeAdapter(op::v1::NonMaxSuppression::BoxEncodingType& value)
          : EnumAttributeAdapterBase<op::v1::NonMaxSuppression::BoxEncodingType>(value) {}
  
      OPENVINO_RTTI("AttributeAdapter<ov::v1::NonMaxSuppression::BoxEncodingType>");
      BWDCMP_RTTI_DECLARATION;
  };
  
  template <>
  class OPENVINO_API AttributeAdapter<op::v3::NonMaxSuppression::BoxEncodingType>
      : public EnumAttributeAdapterBase<op::v3::NonMaxSuppression::BoxEncodingType> {
  public:
      AttributeAdapter(op::v3::NonMaxSuppression::BoxEncodingType& value)
          : EnumAttributeAdapterBase<op::v3::NonMaxSuppression::BoxEncodingType>(value) {}
  
      OPENVINO_RTTI("AttributeAdapter<ov::v3::NonMaxSuppression::BoxEncodingType>");
      BWDCMP_RTTI_DECLARATION;
  };
  
  template <>
  class OPENVINO_API AttributeAdapter<op::v5::NonMaxSuppression::BoxEncodingType>
      : public EnumAttributeAdapterBase<op::v5::NonMaxSuppression::BoxEncodingType> {
  public:
      AttributeAdapter(op::v5::NonMaxSuppression::BoxEncodingType& value)
          : EnumAttributeAdapterBase<op::v5::NonMaxSuppression::BoxEncodingType>(value) {}
  
      OPENVINO_RTTI("AttributeAdapter<ov::v5::NonMaxSuppression::BoxEncodingType>");
      BWDCMP_RTTI_DECLARATION;
  };
  
  template <>
  class OPENVINO_API AttributeAdapter<op::v9::NonMaxSuppression::BoxEncodingType>
      : public EnumAttributeAdapterBase<op::v9::NonMaxSuppression::BoxEncodingType> {
  public:
      AttributeAdapter(op::v9::NonMaxSuppression::BoxEncodingType& value)
          : EnumAttributeAdapterBase<op::v9::NonMaxSuppression::BoxEncodingType>(value) {}
  
      OPENVINO_RTTI("AttributeAdapter<ov::v9::NonMaxSuppression::BoxEncodingType>");
      BWDCMP_RTTI_DECLARATION;
  };
  
  }  // namespace ov
  