Publishing 2019 R1 content

[platform/upstream/dldt.git] / model-optimizer / extensions / middle / EltwiseInputNormalization.py

diff --git a/model-optimizer/extensions/middle/EltwiseInputNormalization.py b/model-optimizer/extensions/middle/EltwiseInputNormalization.py
index 6f5687e..c7fe206 100644 (file)
--- a/model-optimizer/extensions/middle/EltwiseInputNormalization.py
+++ b/model-optimizer/extensions/middle/EltwiseInputNormalization.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.
@@ -16,22 +16,17 @@
 
 import networkx as nx
 import numpy as np
-from copy import deepcopy
 
 from extensions.middle.EltwiseInputReshape import EltwiseInputReshape
-from mo.front.common.layout import get_features_dim, shape_for_layout
-from mo.graph.graph import Node
-from mo.middle.passes.fusing.helpers import get_value_id
+from mo.graph.graph import Node, Graph
 from mo.middle.replacement import MiddleReplacementPattern
-from mo.ops.op import Op
-from mo.ops.reshape import Reshape
 
 
 class EltwiseInputNormalize(EltwiseInputReshape, MiddleReplacementPattern):
     # This pass should be called directly from pipeline before layout change and other permutations
     enabled = False
 
-    def find_and_replace_pattern(self, graph: nx.MultiDiGraph):
+    def find_and_replace_pattern(self, graph: Graph):
         eltwise_nodes = [Node(graph, node) for node in graph.node if Node(graph, node).soft_get('type') == 'Eltwise']
         # Iterating over all Eltwise operations and check that every input has similar shape
         # in case of different shapes, we inserts new_shape attribute and then call EltwiseInputReshape extension