text: """
   Copyright (C) 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.
  """
  
  import networkx as nx
  
  from extensions.front.mxnet.ssd_pattern_flatten_softmax_activation import SsdPatternFlattenSoftmaxActivation
  from extensions.front.mxnet.ssd_pattern_remove_flatten import SsdPatternRemoveFlatten
  from extensions.front.mxnet.ssd_pattern_remove_reshape import SsdPatternRemoveReshape
  from mo.front.common.replacement import FrontReplacementSubgraph
  from mo.graph.graph import Graph
  
  
  class SsdPatternRemoveTranspose(FrontReplacementSubgraph):
      enabled = True
  
      def run_before(self):
          return [SsdPatternFlattenSoftmaxActivation, SsdPatternRemoveFlatten, SsdPatternRemoveReshape]
  
      def pattern(self):
          return dict(
              nodes=[
                  ('transpose', dict(op='Transpose')),
                  ('softmax_activation', dict(op='SoftMax')),
                  ('multi_box_detection', dict(op='_contrib_MultiBoxDetection'))
              ],
              edges=[
                  ('transpose', 'softmax_activation', {'in': 0}),
                  ('softmax_activation', 'multi_box_detection', {'in': 1}),
              ]
          )
  
      def replace_sub_graph(self, graph: Graph, match: dict):
          """
          Need to find each occurrence of pattern:
          transpose -> SoftmaxActivation -> _contrib_MultiBoxDetection
          remove transpose layer to secure the order of weights in SoftMax to be the same as IE expects
          IE expects weights to be in following order: class-wise values for each priorbox.
          priorboxes change the quickest
  
          Parameters
          ----------
          graph : Graph
             Graph with loaded model.
           match : dict
             Patterns which were found in graph structure.
          """
          transpose_node = match['transpose']
          softmax_activation = match['softmax_activation']
          transpose_in_node = transpose_node.in_node(0)
  
          graph.remove_edge(transpose_in_node.id, transpose_node.id)
          graph.remove_edge(transpose_node.id, softmax_activation.id)
          graph.remove_node(transpose_node.id)
          graph.create_edge(transpose_in_node, softmax_activation)
  