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.
  //*****************************************************************************
  
  // Microsoft (c) 2019, NNFusion Team
  
  #pragma once
  
  #include "../op.hpp"
  
  namespace nnfusion
  {
      namespace op
      {
          /// \brief Abstract base class for elementwise binary comparison operations, i.e., operations where the same
          ///        scalar binary comparison operation is applied to each corresponding pair of elements in two same-shaped
          ///        input tensors.
          ///
          /// For example, if the underlying comparison operation (determined by the subclass) is \f$\mathit{op}(x,y)\f$, the input tensors
          /// \f$[[x_0,y_0],[z_0,w_0]]\f$ and \f$[[x_1,y_1],[z_1,w_1]]\f$ will be mapped to \f$[[\mathit{op}(x_0,x_1),\mathit{op}(y_0,y_1)],[\mathit{op}(z_0,z_1),\mathit{op}(w_0,w_1)]]\f$.
          ///
          /// ## Inputs
          ///
          /// |        | Type                              | Description                                            |
          /// | ------ | --------------------------------- | ------------------------------------------------------ |
          /// | `arg0` | \f$E[d_1,\dots,d_n]~(n \geq 0)\f$ | A tensor of any shape and element type.                |
          /// | `arg1` | \f$E[d_1,\dots,d_n]~(n \geq 0)\f$ | A tensor of the same shape and element type as `arg0`. |
          ///
          /// ## Output
          ///
          /// | Type                               | Description                                                                                                                                                                                                        |
          /// | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
          /// | \f$\texttt{bool}[d_1,\dots,d_n]\f$ | The tensor \f$T\f$, where \f$T[i_1,\dots,i_n] = \mathit{op}(\texttt{arg0}[i_1,\dots,i_n],\texttt{arg1}[i_1,\dots,i_n])\f$. This will always have the same shape as the input tensors, and the element type `bool`. |
          class BinaryElementwiseComparison : public Op
          {
          public:
              /// \brief Constructs a binary elementwise comparison operation.
              BinaryElementwiseComparison(const std::string& node_type);
  
              void validate_and_infer_types(std::shared_ptr<graph::GNode> gnode) override;
          };
      }
  }
  