55 lines
1.7 KiB
Python
55 lines
1.7 KiB
Python
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"""
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Copyright (c) 2017-2018 Intel Corporation
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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import networkx as nx
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from mo.back.replacement import BackReplacementPattern
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from mo.middle.passes.eliminate import remove_op_node
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class RemoveLastSoftMaxPattern(BackReplacementPattern):
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# This replacer is intentionally disabled and must be called if the flag --remove_output_softmax was enabled
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enabled = False
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@staticmethod
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def pattern():
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return dict(
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nodes=[
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('softmax_node', dict(kind='op', op='SoftMax'))
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],
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edges=[],
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node_attrs=['op'],
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edge_attrs=[])
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@staticmethod
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def replace_pattern(graph: nx.MultiDiGraph, match: dict):
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"""
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Need to find the pattern: Parent (any type) -> SoftMAx -> OpOutput
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It is needed to remove output SoftMAx layer
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Parameters
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----------
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graph : nx.MultiDiGraph
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Graph with loaded model.
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match : dict
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Patterns which were found in graph structure.
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"""
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softmax = match['softmax_node']
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child = softmax.out_node()
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if not child.has_and_set('is_output'):
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return
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remove_op_node(graph, softmax)
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