-l option is replaced with -extensions (#10878)

samples/cpp/benchmark_app/README.md

@@ -69,7 +69,7 @@ Options:
                               In case of dynamic shapes networks with several inputs provide the same number of files for each input (except cases with single file for any input):"input1:1.jpg input2:1.bin", "input1:1.bin,2.bin input2:3.bin input3:4.bin,5.bin ". Also you can pass specific keys for inputs: "random" - for fillling input with random data, "image_info" - for filling input with image size.
                               You should specify either one files set to be used for all inputs (without providing input names) or separate files sets for every input of model (providing inputs names).
     -d "<device>"             Optional. Specify a target device to infer on (the list of available devices is shown below). Default value is CPU. Use "-d HETERO:<comma-separated_devices_list>" format to specify HETERO plugin. Use "-d MULTI:<comma-separated_devices_list>" format to specify MULTI plugin. The application looks for a suitable plugin for the specified device.
-    -l "<absolute_path>"      Required for CPU custom layers. Absolute path to a shared library with the kernels implementations.
+    -extensions "<absolute_path>" Required for custom layers (extensions). Absolute path to a shared library with the kernels implementations.
           Or
     -c "<absolute_path>"      Required for GPU custom kernels. Absolute path to an .xml file with the kernels description.
     -hint "performance hint (latency or throughput or none)"   Optional. Performance hint allows the OpenVINO device to select the right network-specific settings.

samples/cpp/benchmark_app/benchmark_app.hpp

@@ -96,8 +96,8 @@ static const char enforce_bf16_message[] =
     "                                  'false' - disable bfloat16 regardless of platform support";
 
 /// @brief message for user library argument
-static const char custom_cpu_library_message[] =
-    "Required for CPU custom layers. Absolute path to a shared library with the kernels "
+static const char custom_extensions_library_message[] =
+    "Required for custom layers (extensions). Absolute path to a shared library with the kernels "
     "implementations.";
 
 /// @brief message for clDNN custom kernels desc
@@ -251,9 +251,9 @@ DEFINE_string(api, "async", api_message);
 /// @brief device the target device to infer on <br>
 DEFINE_string(d, "CPU", target_device_message);
 
-/// @brief Absolute path to CPU library with user layers <br>
+/// @brief Absolute path to extensions library with user layers <br>
 /// It is a required parameter
-DEFINE_string(l, "", custom_cpu_library_message);
+DEFINE_string(extensions, "", custom_extensions_library_message);
 
 /// @brief Define parameter for clDNN custom kernels path <br>
 /// Default is ./lib
@@ -373,8 +373,7 @@ static void show_usage() {
     std::cout << "    -m \"<path>\"               " << model_message << std::endl;
     std::cout << "    -i \"<path>\"               " << input_message << std::endl;
     std::cout << "    -d \"<device>\"             " << target_device_message << std::endl;
-    std::cout << "    -l \"<absolute_path>\"      " << custom_cpu_library_message << std::endl;
-    std::cout << "          Or" << std::endl;
+    std::cout << "    -extensions \"<absolute_path>\" " << custom_extensions_library_message << std::endl;
     std::cout << "    -c \"<absolute_path>\"      " << custom_cldnn_message << std::endl;
     std::cout << "    -hint \"performance hint (latency or throughput or none)\"   " << hint_message << std::endl;
     std::cout << "    -api \"<sync/async>\"       " << api_message << std::endl;

samples/cpp/benchmark_app/main.cpp

@@ -209,10 +209,10 @@ int main(int argc, char* argv[]) {
 
         ov::Core core;
 
-        if (FLAGS_d.find("CPU") != std::string::npos && !FLAGS_l.empty()) {
-            // CPU plugin extensions is loaded as a shared library
-            core.add_extension(FLAGS_l);
-            slog::info << "CPU plugin extensions is loaded " << FLAGS_l << slog::endl;
+        if (!FLAGS_extensions.empty()) {
+            // Extensions are loaded as a shared library
+            core.add_extension(FLAGS_extensions);
+            slog::info << "Extensions are loaded: " << FLAGS_extensions << slog::endl;
         }
 
         // Load clDNN Extensions
@@ -225,7 +225,7 @@ int main(int argc, char* argv[]) {
         if (config.count("GPU") && config.at("GPU").count(CONFIG_KEY(CONFIG_FILE))) {
             auto ext = config.at("GPU").at(CONFIG_KEY(CONFIG_FILE)).as<std::string>();
             core.set_property("GPU", {{CONFIG_KEY(CONFIG_FILE), ext}});
-            slog::info << "GPU extensions is loaded " << ext << slog::endl;
+            slog::info << "GPU extensions are loaded: " << ext << slog::endl;
         }
 
         slog::info << "OpenVINO: " << ov::get_openvino_version() << slog::endl;