Publishing 2019 R1 content

[platform/upstream/dldt.git] / inference-engine / src / inference_engine / shape_infer / built-in / ie_priorbox_clustered_shape_infer.hpp

diff --git a/inference-engine/src/inference_engine/shape_infer/built-in/ie_priorbox_clustered_shape_infer.hpp b/inference-engine/src/inference_engine/shape_infer/built-in/ie_priorbox_clustered_shape_infer.hpp
index 1aaf3e4..b716193 100644 (file)
--- a/inference-engine/src/inference_engine/shape_infer/built-in/ie_priorbox_clustered_shape_infer.hpp
+++ b/inference-engine/src/inference_engine/shape_infer/built-in/ie_priorbox_clustered_shape_infer.hpp
@@ -1,4 +1,4 @@
-// Copyright (C) 2018 Intel Corporation
+// Copyright (C) 2018-2019 Intel Corporation
 // SPDX-License-Identifier: Apache-2.0
 //
 
@@ -22,17 +22,19 @@ class PriorBoxClusteredShapeProp : public BuiltInShapeInferImpl {
 public:
     explicit PriorBoxClusteredShapeProp(const std::string& type) : BuiltInShapeInferImpl(type) {}
 
-    void inferShapesImpl(const std::vector<SizeVector>& inShapes,
+    void inferShapesImpl(const std::vector<Blob::CPtr>& inBlobs,
                            const std::map<std::string, std::string>& params,
                            const std::map<std::string, Blob::Ptr>& blobs,
                            std::vector<SizeVector>& outShapes) override {
-                LayerParams lp{};
+        LayerParams lp{};
         CNNLayer cnnLayer(lp);
         cnnLayer.params = params;
         cnnLayer.type = _type;
-        validate(&cnnLayer, inShapes, params, blobs);
+        validate(&cnnLayer, inBlobs, params, blobs);
         std::vector<float> widths = cnnLayer.GetParamAsFloats("width", {});
-        size_t res_prod = widths.size() * inShapes[0][2] * inShapes[0][3] * 4;
+        size_t res_prod = widths.size() * 4;
+        for (int i = 2; i < inShapes[0].size(); i++)
+            res_prod *= inShapes[0][i];
         outShapes.push_back({1, 2, res_prod});
     }
 };