ngraph/frontend/onnx_import/src/op/qlinear_matmul.cpp

   1 //*****************************************************************************
   2 // Copyright 2017-2020 Intel Corporation
   3 //
   4 // Licensed under the Apache License, Version 2.0 (the "License");
   5 // you may not use this file except in compliance with the License.
   6 // You may obtain a copy of the License at
   7 //
   8 //     http://www.apache.org/licenses/LICENSE-2.0
   9 //
  10 // Unless required by applicable law or agreed to in writing, software
  11 // distributed under the License is distributed on an "AS IS" BASIS,
  12 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13 // See the License for the specific language governing permissions and
  14 // limitations under the License.
  15 //*****************************************************************************
  16
  17 #include "qlinear_matmul.hpp"
  18 #include "ngraph/builder/matmul_factory.hpp"
  19 #include "ngraph/log.hpp"
  20
  21 namespace ngraph
  22 {
  23     namespace onnx_import
  24     {
  25         namespace op
  26         {
  27             namespace set_1
  28             {
  29                 OutputVector qlinear_matmul(const Node& node)
  30                 {
  31                     NGRAPH_SUPPRESS_DEPRECATED_START
  32                     auto ng_inputs = node.get_ng_inputs();
  33                     auto factory = builder::QLinearMatmulFactory(
  34                         (OutputVector(std::begin(ng_inputs), std::end(ng_inputs))));
  35                     std::size_t left_rank{ng_inputs.at(0).get_shape().size()};
  36                     std::size_t right_rank{ng_inputs.at(1).get_shape().size()};
  37
  38                     if (left_rank == 0 || right_rank == 0)
  39                     {
  40                         NGRAPH_WARN
  41                             << (node) << " "
  42                             << "ONNX standard doesn't allow scalar operands, however nGraph "
  43                                "accepts them. Consider use of element-wise multiplication instead "
  44                                "to conform with ONNX standard.";
  45                     }
  46                     return factory.make_matmul_op();
  47                     NGRAPH_SUPPRESS_DEPRECATED_END
  48                 }
  49             } // namespace set_1
  50
  51         } // namespace op
  52
  53     } // namespace onnx_import
  54
  55 } // namespace ngraph