56 lines
1.7 KiB
Python
56 lines
1.7 KiB
Python
"""
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Copyright (C) 2017-2020 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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from mo.front.common.replacement import FrontReplacementPattern
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from mo.graph.graph import Graph
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class CheckSoftmaxNodeInputs(FrontReplacementPattern):
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enabled = True
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def run_before(self):
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from extensions.front.user_data_repack import UserDataRepack
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return [UserDataRepack]
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def run_after(self):
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return []
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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', dict(op=lambda op: op in ['SoftMax', 'SoftmaxActivation', 'SoftmaxOutput']))
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],
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edges=[])
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@staticmethod
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def replace_pattern(graph: Graph, match: dict):
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"""
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Need to remove from softmax layer all unused inputs
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Parameters
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----------
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graph : Graph
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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_node = match['softmax']
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softmax_nodes_len = len(softmax_node.in_nodes())
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for i in reversed(range(1, softmax_nodes_len)):
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in_node = softmax_node.in_node(i)
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graph.remove_edge(in_node.id, softmax_node.id)
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graph.remove_node(in_node.id)
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