1 files changed, 42 insertions, 0 deletions
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
new file mode 100644
index 000000000..a1512af6a
--- /dev/null
+++ b/inference-engine/src/inference_engine/shape_infer/built-in/ie_priorbox_clustered_shape_infer.hpp
@@ -0,0 +1,42 @@
+// Copyright (C) 2018 Intel Corporation
+//
+// SPDX-License-Identifier: Apache-2.0
+//
+
+#pragma once
+
+#include <description_buffer.hpp>
+#include "ie_built_in_impl.hpp"
+#include <ie_layers.h>
+#include <map>
+#include <memory>
+#include <string>
+#include <vector>
+
+namespace InferenceEngine {
+namespace ShapeInfer {
+
+/**
+ *@brief Implementation of Shape inference for PriorBoxClustered layer
+ */
+class PriorBoxClusteredShapeProp : public BuiltInShapeInferImpl {
+public:
+    explicit PriorBoxClusteredShapeProp(const std::string& type) : BuiltInShapeInferImpl(type) {}
+
+    void inferShapesImpl(const std::vector<SizeVector>& inShapes,
+                           const std::map<std::string, std::string>& params,
+                           const std::map<std::string, Blob::Ptr>& blobs,
+                           std::vector<SizeVector>& outShapes) override {
+                LayerParams lp{};
+        CNNLayer cnnLayer(lp);
+        cnnLayer.params = params;
+        cnnLayer.type = _type;
+        validate(&cnnLayer, inShapes, params, blobs);
+        std::vector<float> widths = cnnLayer.GetParamAsFloats("width", {});
+        size_t res_prod = widths.size() * inShapes[0][2] * inShapes[0][3] * 4;
+        outShapes.push_back({1, 2, res_prod});
+    }
+};
+
+}  // namespace ShapeInfer
+}  // namespace InferenceEngine