From: mitruska <katarzyna.mitrus@intel.com>
Date: Fri, 2 Jul 2021 13:29:34 +0000 (+0200)
Subject: Use explicit version of ngraph NormalizeL2
X-Git-Tag: submit/tizen/20220120.021815~1^2~1^2~3^2
X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=18dbac203f3b55ad445df26a5728798e26f78633;p=platform%2Fupstream%2Fopencv.git

Use explicit version of ngraph NormalizeL2
---

diff --git a/modules/dnn/src/layers/normalize_bbox_layer.cpp b/modules/dnn/src/layers/normalize_bbox_layer.cpp
index cdaa87bde5..001ea3bd16 100644
--- a/modules/dnn/src/layers/normalize_bbox_layer.cpp
+++ b/modules/dnn/src/layers/normalize_bbox_layer.cpp
@@ -328,7 +328,7 @@ public:
             std::iota(axes_data.begin(), axes_data.end(), 1);
         }
         auto axes = std::make_shared<ngraph::op::Constant>(ngraph::element::i64, ngraph::Shape{axes_data.size()}, axes_data);
-        auto norm = std::make_shared<ngraph::op::NormalizeL2>(ieInpNode, axes, epsilon, ngraph::op::EpsMode::ADD);
+        auto norm = std::make_shared<ngraph::op::v0::NormalizeL2>(ieInpNode, axes, epsilon, ngraph::op::EpsMode::ADD);
 
         CV_Assert(blobs.empty() || numChannels == blobs[0].total());
         std::vector<size_t> shape(ieInpNode->get_shape().size(), 1);