""" Copyright (c) 2017-2018 Intel Corporation Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. """ import networkx as nx from mo.front.common.replacement import FrontReplacementPattern class CheckSoftmaxNodeInputs(FrontReplacementPattern): enabled = True @staticmethod def pattern(): return dict( nodes=[ ('softmax', dict(op='SoftmaxOutput')) ], edges=[]) @staticmethod def replace_pattern(graph: nx.MultiDiGraph, match: dict): """ Need to remove from softmax layer all unused inputs Parameters ---------- graph : nx.MultiDiGraph Graph with loaded model. match : dict Patterns which were found in graph structure. """ softmax_node = match['softmax'] softmax_nodes_len = len(softmax_node.in_nodes()) for i in reversed(range(1, softmax_nodes_len)): in_node = softmax_node.in_node(i) graph.remove_edge(in_node.id, softmax_node.id) graph.remove_node(in_node.id)