text: //*****************************************************************************
  // Copyright 2017-2020 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 "ngraph/node.hpp"
  #include "ngraph/op/op.hpp"
  #include "ngraph/op/util/fused_op.hpp"
  
  namespace ngraph
  {
      namespace op
      {
          namespace v0
          {
              /// \brief Calculates an element-wise squared difference between two tensors
              ///
              /// y[i] = (x1[i] - x2[i])^2
              class NGRAPH_API SquaredDifference : public ngraph::op::util::FusedOp
              {
              public:
                  static constexpr NodeTypeInfo type_info{"SquaredDifference", 0};
                  const NodeTypeInfo& get_type_info() const override { return type_info; }
                  SquaredDifference() = default;
                  /// \brief Constructs the squared difference operation.
                  ///
                  /// \param x1 First input tensor
                  /// \param x2 Second input tensor
                  /// \param auto_broadcast Auto broadcast specification
                  SquaredDifference(
                      const Output<Node>& x1,
                      const Output<Node>& x2,
                      const AutoBroadcastSpec& auto_broadcast = AutoBroadcastType::NUMPY);
  
                  bool visit_attributes(AttributeVisitor& visitor) override;
                  virtual OutputVector decompose_op() const override;
  
                  virtual std::shared_ptr<Node>
                      clone_with_new_inputs(const OutputVector& new_args) const override;
  
                  const AutoBroadcastSpec& get_autob() const override { return m_autobroadcast; }
                  void set_autob(const AutoBroadcastSpec& auto_broadcast)
                  {
                      m_autobroadcast = auto_broadcast;
                  }
  
              private:
                  AutoBroadcastSpec m_autobroadcast;
              };
          }
          using v0::SquaredDifference;
      }
  }
  