[Benchmark_app]Check all I/O names (#10745)

* Check all I/O names

* stylefix

samples/cpp/benchmark_app/utils.cpp

@@ -821,7 +821,7 @@ std::string parameter_name_to_tensor_name(const std::string& name,
                                           const std::vector<ov::Output<const ov::Node>>& outputs_info) {
     if (std::any_of(inputs_info.begin(), inputs_info.end(), [name](const ov::Output<const ov::Node>& port) {
             try {
-                return name == port.get_any_name();
+                return port.get_names().count(name) > 0;
             } catch (const ov::Exception&) {
                 return false;  // Some ports might have no names - so this is workaround
             }
@@ -829,7 +829,7 @@ std::string parameter_name_to_tensor_name(const std::string& name,
         return name;
     } else if (std::any_of(outputs_info.begin(), outputs_info.end(), [name](const ov::Output<const ov::Node>& port) {
                    try {
-                       return name == port.get_any_name();
+                       return port.get_names().count(name) > 0;
                    } catch (const ov::Exception&) {
                        return false;  // Some ports might have no names - so this is workaround
                    }

samples/cpp/common/utils/include/samples/args_helper.hpp

@@ -45,5 +45,67 @@ void configurePrePostProcessing(std::shared_ptr<ov::Model>& function,
                                 const std::string& ioml);
 
 void printInputAndOutputsInfo(const ov::Model& network);
-void printInputAndOutputsInfoShort(const ov::Model& network);
-ov::element::Type getPrecision2(const std::string& value);
+ov::element::Type getPrecision2(const std::string& value);
+
+template <class T>
+void printInputAndOutputsInfoShort(const T& network) {
+    std::cout << "Network inputs:" << std::endl;
+    for (auto&& input : network.inputs()) {
+        std::string in_name;
+        std::string node_name;
+
+        // Workaround for "tensor has no name" issue
+        try {
+            for (const auto& name : input.get_names()) {
+                in_name += name + " , ";
+            }
+            in_name = in_name.substr(0, in_name.size() - 3);
+
+        } catch (const ov::Exception&) {
+        }
+        try {
+            node_name = input.get_node()->get_friendly_name();
+        } catch (const ov::Exception&) {
+        }
+
+        if (in_name == "") {
+            in_name = "***NO_NAME***";
+        }
+        if (node_name == "") {
+            node_name = "***NO_NAME***";
+        }
+
+        std::cout << "    " << in_name << " (node: " << node_name << ") : " << input.get_element_type() << " / "
+                  << ov::layout::get_layout(input).to_string() << std::endl;
+    }
+
+    std::cout << "Network outputs:" << std::endl;
+    for (auto&& output : network.outputs()) {
+        std::string out_name;
+        std::string node_name;
+
+        // Workaround for "tensor has no name" issue
+        try {
+            for (const auto& name : output.get_names()) {
+                out_name += name + " , ";
+            }
+            out_name = out_name.substr(0, out_name.size() - 3);
+
+        } catch (const ov::Exception&) {
+        }
+        try {
+            node_name = output.get_node()->get_input_node_ptr(0)->get_friendly_name();
+        } catch (const ov::Exception&) {
+        }
+
+        if (out_name == "") {
+            out_name = "***NO_NAME***";
+        }
+        if (node_name == "") {
+            node_name = "***NO_NAME***";
+        }
+
+        std::cout << "    " << out_name << " (node: " << node_name << ") : " << output.get_element_type() << " / "
+                  << ov::layout::get_layout(output).to_string() << std::endl;
+    }
+}

samples/cpp/common/utils/src/args_helper.cpp

@@ -248,34 +248,6 @@ bool isMatchLayoutToDims(InferenceEngine::Layout layout, size_t dimension) {
 
 }  // namespace
 
-void printInputAndOutputsInfoShort(const ov::Model& network) {
-    std::cout << "Network inputs:" << std::endl;
-    for (auto&& input : network.inputs()) {
-        std::cout << "    " << input.get_any_name() << " (node: " << input.get_node()->get_friendly_name()
-                  << ") : " << input.get_element_type() << " / " << ov::layout::get_layout(input).to_string()
-                  << std::endl;
-    }
-
-    std::cout << "Network outputs:" << std::endl;
-    for (auto&& output : network.outputs()) {
-        std::string out_name = "***NO_NAME***";
-        std::string node_name = "***NO_NAME***";
-
-        // Workaround for "tensor has no name" issue
-        try {
-            out_name = output.get_any_name();
-        } catch (const ov::Exception&) {
-        }
-        try {
-            node_name = output.get_node()->get_input_node_ptr(0)->get_friendly_name();
-        } catch (const ov::Exception&) {
-        }
-
-        std::cout << "    " << out_name << " (node: " << node_name << ") : " << output.get_element_type() << " / "
-                  << ov::layout::get_layout(output).to_string() << std::endl;
-    }
-}
-
 void printInputAndOutputsInfo(const ov::Model& network) {
     slog::info << "model name: " << network.get_friendly_name() << slog::endl;