text: // Copyright (C) 2018-2021 Intel Corporation
  // SPDX-License-Identifier: Apache-2.0
  //
  
  #pragma once
  
  #include <memory>
  
  #include "ngraph/op/util/binary_elementwise_logical.hpp"
  
  namespace ngraph
  {
      namespace op
      {
          namespace v1
          {
              /// \brief Elementwise logical-and operation.
              ///
              class NGRAPH_API LogicalAnd : public util::BinaryElementwiseLogical
              {
              public:
                  NGRAPH_RTTI_DECLARATION;
                  /// \brief Constructs a logical-and operation.
                  LogicalAnd() = default;
  
                  /// \brief Constructs a logical-and operation.
                  ///
                  /// \param arg0 Output that produces the first input tensor.<br>
                  /// `[d0, ...]`
                  /// \param arg1 Output that produces the second input tensor.<br>
                  /// `[d0, ...]`
                  /// \param auto_broadcast Auto broadcast specification
                  ///
                  /// Output `[d0, ...]`
                  ///
                  LogicalAnd(const Output<Node>& arg0,
                             const Output<Node>& arg1,
                             const AutoBroadcastSpec& auto_broadcast =
                                 AutoBroadcastSpec(AutoBroadcastType::NUMPY));
  
                  std::shared_ptr<Node>
                      clone_with_new_inputs(const OutputVector& new_args) const override;
                  bool visit_attributes(AttributeVisitor& visitor) override;
                  bool evaluate(const HostTensorVector& outputs,
                                const HostTensorVector& inputs) const override;
                  bool has_evaluate() const override;
              };
          } // namespace v1
      }     // namespace op
  } // namespace ngraph
  