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 <memory>
  
  #include "ngraph/op/util/binary_elementwise_logical.hpp"
  
  namespace ngraph
  {
      namespace op
      {
          namespace v1
          {
              /// \brief Elementwise logical-xor operation.
              ///
              class NGRAPH_API LogicalXor : public util::BinaryElementwiseLogical
              {
              public:
                  static constexpr NodeTypeInfo type_info{"LogicalXor", 1};
                  const NodeTypeInfo& get_type_info() const override { return type_info; }
                  LogicalXor() = default;
                  /// \brief Constructs a logical-xor operation.
                  ///
                  /// \param arg0 Node that produces the first input tensor.<br>
                  /// `[d0, ...]`
                  /// \param arg1 Node that produces the second input tensor.<br>
                  /// `[d0, ...]`
                  /// \param auto_broadcast Auto broadcast specification
                  ///
                  /// Output `[d0, ...]`
                  ///
                  LogicalXor(const Output<Node>& arg0,
                             const Output<Node>& arg1,
                             const AutoBroadcastSpec& auto_broadcast =
                                 AutoBroadcastSpec(AutoBroadcastType::NUMPY));
  
                  virtual std::shared_ptr<Node>
                      copy_with_new_args(const NodeVector& new_args) const override;
  
                  virtual bool is_commutative() const override { return true; }
              };
          } // namespace v1
          namespace v0
          {
              /// \brief Elementwise logical-xor operation.
              ///
              class NGRAPH_API Xor : public util::BinaryElementwiseLogical
              {
              public:
                  static constexpr NodeTypeInfo type_info{"Xor", 0};
                  const NodeTypeInfo& get_type_info() const override { return type_info; }
                  Xor() = default;
                  /// \brief Constructs a logical-xor operation.
                  ///
                  /// \param arg0 Node that produces the first input tensor.<br>
                  /// `[d0, ...]`
                  /// \param arg1 Node that produces the second input tensor.<br>
                  /// `[d0, ...]`
                  /// \param auto_broadcast Auto broadcast specification
                  ///
                  /// Output `[d0, ...]`
                  ///
                  Xor(const Output<Node>& arg0,
                      const Output<Node>& arg1,
                      const AutoBroadcastSpec& auto_broadcast = AutoBroadcastSpec());
  
                  virtual std::shared_ptr<Node>
                      copy_with_new_args(const NodeVector& new_args) const override;
  
                  virtual bool is_commutative() const override { return true; }
              };
          } // namespace v0
  
          // default opset version
          using v0::Xor;
      } // namespace op
  } // namespace ngraph
  