model-optimizer/extensions/front/kaldi/add_reshape_for_conv.py

   1 """
   2  Copyright (c) 2017-2018 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 import networkx as nx
  18
  19 from extensions.front.kaldi.replace_lstm_node_pattern import create_node
  20 from mo.front.common.replacement import FrontReplacementOp
  21 from mo.graph.graph import Node
  22
  23
  24 class ReplaceConvolutionReshape(FrontReplacementOp):
  25     op = "Convolution"
  26     enabled = True
  27
  28     def replace_op(self, graph: nx.MultiDiGraph, node: Node):
  29         input_nodes = node.in_nodes()
  30
  31         conv_attrs = graph.node[node.id]['pb'].__dict__
  32         input_reshape = create_node(graph, 'Reshape_Convolution', {'type': 'Reshape',
  33                                                                    'axis': 1,
  34                                                                    'num_axes': -1,
  35                                                                    'dim': None},
  36                                     tuple(n.id for i, n in input_nodes.items()))
  37         convolution = create_node(graph, 'Convolution', conv_attrs, tuple([input_reshape.id]))
  38         output_reshape = create_node(graph, 'Convolution_Reshape', {'type': 'Reshape',
  39                                                                     'axis': 1,
  40                                                                     'num_axes': -1,
  41                                                                     'dim': None},
  42                                      tuple([convolution.id]))
  43
  44         return [output_reshape.id]