Publishing 2019 R1 content

[platform/upstream/dldt.git] / model-optimizer / extensions / ops / SquaredDifference.py

diff --git a/model-optimizer/extensions/ops/SquaredDifference.py b/model-optimizer/extensions/ops/SquaredDifference.py
index f1c3735..ce85851 100644 (file)
--- a/model-optimizer/extensions/ops/SquaredDifference.py
+++ b/model-optimizer/extensions/ops/SquaredDifference.py
@@ -1,5 +1,5 @@
 """
- Copyright (c) 2018 Intel Corporation
+ Copyright (c) 2018-2019 Intel Corporation
 
  Licensed under the Apache License, Version 2.0 (the "License");
  you may not use this file except in compliance with the License.
@@ -17,6 +17,7 @@
 import networkx as nx
 
 from mo.front.common.partial_infer.eltwise import eltwise_infer
+from mo.graph.graph import Graph
 from mo.ops.op import Op
 
 
@@ -24,9 +25,11 @@ class SquaredDifference(Op):
     op = 'SquaredDifference'
     enabled = True
 
-    def __init__(self, graph: nx.MultiDiGraph, attrs: dict):
+    def __init__(self, graph: Graph, attrs: dict):
         super().__init__(graph, {
             'type': __class__.op,  # IE layer type, not required if this op won't be dumped to IE
             'op': __class__.op,  # internal MO name for the operation, can be the same as type; required
+            'in_ports_count': 2,
+            'out_ports_count': 1,
             'infer': lambda node: eltwise_infer(node, lambda a, b: (a - b) ** 2)},
                          attrs)