model-optimizer/extensions/back/ReshapeMutation.py

   1 """
   2  Copyright (c) 2019 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 import numpy as np
  17
  18 from mo.back.replacement import BackReplacementPattern
  19 from mo.graph.graph import Graph, Node
  20 from mo.middle.pattern_match import for_each_sub_graph_recursively
  21
  22
  23 class ReshapeMutation(BackReplacementPattern):
  24     enabled = True
  25     force_clean_up = True
  26
  27     @staticmethod
  28     def pattern():
  29         return dict(
  30             nodes=[('reshape', {'kind': 'op', 'type': 'Reshape'})],
  31             edges=[],
  32         )
  33
  34     @staticmethod
  35     def replace_pattern(graph: Graph, match: dict):
  36         reshape = match['reshape']
  37         if hasattr(reshape, 'dim') and reshape.dim is not None:
  38             reshape_inputs = reshape.in_nodes()
  39             value = np.array(reshape.dim)
  40             shape = np.array(value.shape)
  41             del reshape.graph.node[reshape.id]['dim']
  42
  43             if 1 in reshape_inputs:
  44                 reshape_inputs[1].value = value
  45                 reshape_inputs[1].shape = shape
  46             else:
  47                 const_id = graph.unique_id(reshape.id + '/DimData')
  48                 graph.add_node(const_id,
  49                                **{'kind': 'data', 'value': value, 'shape': shape, 'name': reshape.id + '/DimData'})
  50                 graph.add_edge(const_id, reshape.id, **{'in': 1})
  51
  52
  53 class DisableReshapeMutationInTensorIterator(BackReplacementPattern):
  54     enabled = True
  55     force_clean_up = True
  56
  57     def run_after(self):
  58         return [ReshapeMutation]
  59
  60     @staticmethod
  61     def add_supported_attrs_to_node(node: Node, params: list):
  62         node.graph.node[node.id].update({
  63             'IE': [(
  64                 'layer',
  65                 [('id', lambda node: node.node), 'name', 'precision', 'type'],
  66                 [
  67                     ('data', params, []),
  68                     '@ports',
  69                     '@consts'])]
  70         })
  71
  72     def reshapes_with_two_inputs_to_reshape_with_dim(self, graph: Graph):
  73         reshapes = graph.get_op_nodes(op='Reshape')
  74
  75         for reshape in reshapes:
  76             in_nodes = reshape.in_nodes()
  77
  78             if len(in_nodes) == 1:
  79                 continue
  80             assert len(in_nodes) == 2, "Reshape operation should have 2 inputs or 1 input and `dim` attribute"
  81
  82             reshape['dim'] = reshape.in_port(1).get_connection().data.get_value()
  83             reshape.in_port(1).disconnect()
  84
  85             params = [('dim', lambda node: ','.join(map(str, node['dim'])))]
  86             self.add_supported_attrs_to_node(reshape, params)
  87
  88     def find_and_replace_pattern(self, graph: Graph):
  89         for_each_sub_graph_recursively(graph, self.reshapes_with_two_inputs_to_reshape_with_dim)