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.
  //*****************************************************************************
  
  #include "qlinear_matmul.hpp"
  #include "ngraph/builder/matmul_factory.hpp"
  #include "ngraph/log.hpp"
  
  namespace ngraph
  {
      namespace onnx_import
      {
          namespace op
          {
              namespace set_1
              {
                  NodeVector qlinear_matmul(const Node& node)
                  {
                      auto ng_inputs = node.get_ng_inputs();
                      auto factory = builder::QLinearMatmulFactory(
                          (OutputVector(std::begin(ng_inputs), std::end(ng_inputs))));
                      std::size_t left_rank{ng_inputs.at(0)->get_shape().size()};
                      std::size_t right_rank{ng_inputs.at(1)->get_shape().size()};
  
                      if (left_rank == 0 || right_rank == 0)
                      {
                          NGRAPH_WARN
                              << (node) << " "
                              << "ONNX standard doesn't allow scalar operands, however nGraph "
                                 "accepts them. Consider use of element-wise multiplication instead "
                                 "to conform with ONNX standard.";
                      }
                      return factory.make_matmul_op();
                  }
              } // namespace set_1
  
          } // namespace op
  
      } // namespace onnx_import
  
  } // namespace ngraph
  