text: //*****************************************************************************
  // Copyright 2017-2021 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 <cstdint>
  #include <vector>
  #include "ngraph/attribute_adapter.hpp"
  #include "ngraph/op/op.hpp"
  #include "ngraph/op/util/attr_types.hpp"
  
  namespace ngraph
  {
      namespace op
      {
          namespace v6
          {
              /// \brief An operation ExperimentalDetectronTopKROIs, according to the repository
              /// https://github.com/openvinotoolkit/training_extensions (see
              /// pytorch_toolkit/instance_segmentation/segmentoly/rcnn/roi_feature_extractor.py).
              class NGRAPH_API ExperimentalDetectronTopKROIs : public Op
              {
              public:
                  NGRAPH_RTTI_DECLARATION;
  
                  ExperimentalDetectronTopKROIs() = default;
                  /// \brief Constructs a ExperimentalDetectronTopKROIs operation.
                  ///
                  /// \param input_rois  Input rois
                  /// \param rois_probs Probabilities for input rois
                  /// \param max_rois Maximal numbers of output rois
                  ExperimentalDetectronTopKROIs(const Output<Node>& input_rois,
                                                const Output<Node>& rois_probs,
                                                size_t max_rois = 0);
  
                  void validate_and_infer_types() override;
                  bool visit_attributes(AttributeVisitor& visitor) override;
  
                  std::shared_ptr<Node>
                      clone_with_new_inputs(const OutputVector& new_args) const override;
  
                  size_t get_max_rois() const { return m_max_rois; }
              private:
                  size_t m_max_rois;
              };
          }
      }
  }
  