2 Copyright (c) 2018-2019 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.
16 from mo.front.extractor import FrontExtractorOp, CaffePythonFrontExtractorOp
19 class PythonFrontExtractorOp(FrontExtractorOp):
25 module = node.pb.python_param.module
26 layer = node.pb.python_param.layer
27 layer_type = '{}.{}'.format(module, layer)
28 if layer_type and layer_type in CaffePythonFrontExtractorOp.registered_ops:
29 if hasattr(CaffePythonFrontExtractorOp.registered_ops[layer_type], 'extract'):
30 # CaffePythonFrontExtractorOp.registered_ops[layer_type] is object of FrontExtractorOp and has the
32 return CaffePythonFrontExtractorOp.registered_ops[layer_type].extract(node)
34 # User defined only Op for this layer and CaffePythonFrontExtractorOp.registered_ops[layer_type] is
35 # special extractor for Op
36 return CaffePythonFrontExtractorOp.registered_ops[layer_type](node)