2 Copyright (c) 2019 Intel Corporation
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
8 http://www.apache.org/licenses/LICENSE-2.0
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.
19 from mo.graph.graph import Graph
20 from mo.middle.replacement import MiddleReplacementPattern
23 class DeleteNotExecutable(MiddleReplacementPattern):
28 from extensions.middle.TensorIteratorConditionChecker import ConditionChecks
29 return [ConditionChecks]
34 def find_and_replace_pattern(self, graph: Graph):
35 nodes_to_remove = set()
36 for node_name, node_attrs in list(graph.nodes(data=True)):
37 if node_attrs['kind'] == 'data' and 'executable' in node_attrs and not node_attrs['executable']:
38 [nodes_to_remove.add(op) for op, _ in graph.in_edges(node_name)]
39 nodes_to_remove.add(node_name)
40 log.debug('Removing the following not executable nodes: {}'
41 ''.format('\n'.join(sorted(map(str, nodes_to_remove)))))
42 graph.remove_nodes_from(nodes_to_remove)