Merge pull request opencv#17622 from dkurt:dnn_ie_cpu_ext_update

Author: alalek

modules/dnn/src/ie_ngraph.cpp

@@ -128,23 +128,35 @@ class NgraphCustomOp: public ngraph::op::Op {
         return true;
     }
 
-private:
     std::map<std::string, InferenceEngine::Parameter> params;
 };
 
 
 class InfEngineNgraphCustomLayer : public InferenceEngine::ILayerExecImpl
 {
 public:
+#if INF_ENGINE_VER_MAJOR_GE(INF_ENGINE_RELEASE_2020_2)
+    explicit InfEngineNgraphCustomLayer(const std::shared_ptr<ngraph::Node>& _node)
+    {
+        node = std::dynamic_pointer_cast<NgraphCustomOp>(_node);
+        CV_Assert(node);
+        std::string implStr = node->params["impl"];
+        std::istringstream iss(implStr);
+#else
     explicit InfEngineNgraphCustomLayer(const InferenceEngine::CNNLayer& layer) : cnnLayer(layer)
     {
         std::istringstream iss(layer.GetParamAsString("impl"));
+#endif
         size_t ptr;
         iss >> ptr;
         cvLayer = (Layer*)ptr;
 
         std::vector<std::vector<size_t> > shapes;
+#if INF_ENGINE_VER_MAJOR_GE(INF_ENGINE_RELEASE_2020_2)
+        strToShapes(node->params["internals"], shapes);
+#else
         strToShapes(layer.GetParamAsString("internals"), shapes);
+#endif
         internals.resize(shapes.size());
         for (int i = 0; i < shapes.size(); ++i)
             internals[i].create(std::vector<int>(shapes[i].begin(), shapes[i].end()), CV_32F);
@@ -180,6 +192,29 @@ class InfEngineNgraphCustomLayer : public InferenceEngine::ILayerExecImpl
     {
         std::vector<InferenceEngine::DataConfig> inDataConfig;
         std::vector<InferenceEngine::DataConfig> outDataConfig;
+#if INF_ENGINE_VER_MAJOR_GE(INF_ENGINE_RELEASE_2020_2)
+        InferenceEngine::SizeVector order;
+        size_t offset = std::numeric_limits<size_t>::max();
+        for (int i = 0; i < node->get_input_size(); ++i)
+        {
+            InferenceEngine::DataConfig conf;
+            auto shape = node->input_value(i).get_shape();
+            order.resize(shape.size());
+            std::iota(order.begin(), order.end(), 0);
+            conf.desc = InferenceEngine::TensorDesc(InferenceEngine::Precision::FP32, shape, {shape, order, offset});
+            inDataConfig.push_back(conf);
+        }
+
+        for (int i = 0; i < node->get_output_size(); ++i)
+        {
+            InferenceEngine::DataConfig conf;
+            auto shape = node->output(i).get_shape();
+            order.resize(shape.size());
+            std::iota(order.begin(), order.end(), 0);
+            conf.desc = InferenceEngine::TensorDesc(InferenceEngine::Precision::FP32, shape, {shape, order, offset});
+            outDataConfig.push_back(conf);
+        }
+#else
         for (auto& it : cnnLayer.insData)
         {
             InferenceEngine::DataConfig conf;
@@ -193,6 +228,7 @@ class InfEngineNgraphCustomLayer : public InferenceEngine::ILayerExecImpl
             conf.desc = it->getTensorDesc();
             outDataConfig.push_back(conf);
         }
+#endif
 
         InferenceEngine::LayerConfig layerConfig;
         layerConfig.inConfs = inDataConfig;
@@ -209,12 +245,16 @@ class InfEngineNgraphCustomLayer : public InferenceEngine::ILayerExecImpl
     }
 
 private:
+#if INF_ENGINE_VER_MAJOR_GE(INF_ENGINE_RELEASE_2020_2)
+    std::shared_ptr<NgraphCustomOp> node;
+#else
     InferenceEngine::CNNLayer cnnLayer;
+#endif
     dnn::Layer* cvLayer;
     std::vector<Mat> internals;
 };
 
-
+#if INF_ENGINE_VER_MAJOR_LT(INF_ENGINE_RELEASE_2020_2)
 class InfEngineNgraphCustomLayerFactory : public InferenceEngine::ILayerImplFactory {
 public:
     explicit InfEngineNgraphCustomLayerFactory(const InferenceEngine::CNNLayer* layer) : cnnLayer(*layer)
@@ -233,17 +273,29 @@ class InfEngineNgraphCustomLayerFactory : public InferenceEngine::ILayerImplFact
 private:
     InferenceEngine::CNNLayer cnnLayer;
 };
+#endif
 
 
 class InfEngineNgraphExtension : public InferenceEngine::IExtension
 {
 public:
-#if INF_ENGINE_VER_MAJOR_LT(INF_ENGINE_RELEASE_2020_2)
+    void Unload() noexcept override {}
+    void Release() noexcept override { delete this; }
+    void GetVersion(const InferenceEngine::Version*&) const noexcept override {}
+
+#if INF_ENGINE_VER_MAJOR_GE(INF_ENGINE_RELEASE_2020_2)
+    std::vector<std::string> getImplTypes(const std::shared_ptr<ngraph::Node>& node) override {
+        return {"CPU"};
+    }
+
+    InferenceEngine::ILayerImpl::Ptr getImplementation(const std::shared_ptr<ngraph::Node>& node, const std::string& implType) override {
+        if (std::dynamic_pointer_cast<NgraphCustomOp>(node) && implType == "CPU") {
+            return std::make_shared<InfEngineNgraphCustomLayer>(node);
+        }
+        return nullptr;
+    }
+#else
     virtual void SetLogCallback(InferenceEngine::IErrorListener&) noexcept {}
-#endif
-    virtual void Unload() noexcept {}
-    virtual void Release() noexcept {}
-    virtual void GetVersion(const InferenceEngine::Version*&) const noexcept {}
 
     virtual InferenceEngine::StatusCode getPrimitiveTypes(char**&, unsigned int&,
                                                           InferenceEngine::ResponseDesc*) noexcept
@@ -260,6 +312,7 @@ class InfEngineNgraphExtension : public InferenceEngine::IExtension
         factory = new InfEngineNgraphCustomLayerFactory(cnnLayer);
         return InferenceEngine::StatusCode::OK;
     }
+#endif
 };