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/axis_set.hpp"
  #include "ngraph/op/op.hpp"
  
  namespace ngraph
  {
      namespace op
      {
          namespace v0
          {
              /// \brief Tensor cumulative sum operation.
              ///
              /// Compute the cumulative sum of the input tensor along the axis specified.
              ///
              /// ## Parameters
              ///
              /// |                      | Description |
              /// | -------------------- |
              /// --------------------------------------------------------------------------------------------------|
              /// | `exclusive`          | If set to 1 will return exclusive sum in which the top
              /// element
              /// is not included. 		      |
              /// |		          | In other terms, if set to 1, the j-th output element
              /// would be
              /// the
              /// sum of the first (j-1) elements.|
              /// |		          | Otherwise, it would be the sum of the first j elements.
              /// |
              ///
              /// |                      | Description                                        |
              /// | -------------------- | -------------------------------------------------- |
              /// | `reverse`            | if set to 1, performs the sum in reverse direction |
              ///
              /// ## Inputs
              ///
              /// |       | Description                                            |
              /// | ----- | ------------------------------------------------------ |
              /// | `arg` | An input tensor of any shape and numeric element type. |
              ///
              /// |       | Description |
              /// | ----- |
              /// ------------------------------------------------------------------------------------------------|
              /// | `axis`| zero dimension tensor specifying axis position along which cumulative sum
              /// must
              /// be performed.    |
              ///
              /// ## Output
              ///
              /// | Description |
              /// |
              /// ------------------------------------------------------------------------------------|
              /// | Output tensor of the same type as `arg` with cumulative sums of the arg's elements
              /// |
  
              class NGRAPH_API CumSum : public Op
              {
              public:
                  static constexpr NodeTypeInfo type_info{"CumSum", 0};
                  const NodeTypeInfo& get_type_info() const override { return type_info; }
                  /// \brief Constructs a cumulative summation operation.
                  CumSum() = default;
  
                  /// \brief Constructs a cumulative summation operation.
                  ///
                  /// \param arg The tensor to be summed.
                  /// \param axis zero dimension tensor specifying axis position along which
                  /// cumulative
                  /// sum must be performed
                  CumSum(const Output<Node>& arg,
                         const Output<Node>& axis,
                         const bool exclusive = false,
                         const bool reverse = false);
  
                  virtual std::shared_ptr<Node>
                      clone_with_new_inputs(const OutputVector& new_args) const override;
  
                  void validate_and_infer_types() override;
  
                  /// \return The default value for CumSum.
                  virtual std::shared_ptr<Node> get_default_value() const override;
                  bool is_exclusive() const { return m_exclusive; }
                  bool is_reverse() const { return m_reverse; }
              protected:
                  virtual void generate_adjoints(autodiff::Adjoints& adjoints,
                                                 const OutputVector& deltas) override;
  
              private:
                  bool m_exclusive;
                  bool m_reverse;
              };
          }
          using v0::CumSum;
      }
  }
  