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 Operator performing Matrix Multiplication.
              class NGRAPH_API MatMul : public ngraph::op::util::FusedOp
              {
              public:
                  static constexpr NodeTypeInfo type_info{"MatMul", 0};
                  const NodeTypeInfo& get_type_info() const override { return type_info; }
                  MatMul() = default;
                  /// \brief Constructs an Matrix Multiplication operation.
                  ///
                  /// \param A Matrix A
                  /// \param B Matrix B
                  /// \param transpose_a If matrix A should be transposed.
                  /// \param transpose_b If matrix B should be transposed.
                  MatMul(const Output<Node>& A,
                         const Output<Node>& B,
                         const bool& transpose_a = 0,
                         const bool& transpose_b = 0);
  
                  bool visit_attributes(AttributeVisitor& visitor) override;
                  virtual void pre_validate_and_infer_types() override;
  
                  virtual OutputVector decompose_op() const override;
  
                  virtual std::shared_ptr<Node>
                      clone_with_new_inputs(const OutputVector& new_args) const override;
  
                  bool evaluate(const HostTensorVector& outputs,
                                const HostTensorVector& inputs) const override;
  
                  bool get_transpose_a() const { return m_transpose_a; }
                  bool get_transpose_b() const { return m_transpose_b; }
  
              private:
                  bool m_transpose_a;
                  bool m_transpose_b;
              };
          }
      }
  }
  