Hello Query Device C++ Sample

@sphinxdirective

This sample demonstrates how to execute an query OpenVINO™ Runtime devices, prints their metrics and default configuration values, using :doc:Properties API <openvino_docs_OV_UG_query_api>.

The following C++ API is used in the application:

+----------------------------------------+---------------------------------------+-------------------------------------------------------------------+ | Feature | API | Description | +========================================+=======================================+===================================================================+ | Available Devices | ov::Core::get_available_devices, | Get available devices information and configuration for inference | | | ov::Core::get_property | | +----------------------------------------+---------------------------------------+-------------------------------------------------------------------+

Basic OpenVINO™ Runtime API is covered by :doc:Hello Classification C++ sample <openvino_inference_engine_samples_hello_classification_README>.

+----------------------------------------+----------------------------------------------------------------------------------------------+ | Options | Values | +========================================+==============================================================================================+ | Supported devices | :doc:All <openvino_docs_OV_UG_supported_plugins_Supported_Devices> | +----------------------------------------+----------------------------------------------------------------------------------------------+ | Other language realization | :doc:Python <openvino_inference_engine_ie_bridges_python_sample_hello_query_device_README> | +----------------------------------------+----------------------------------------------------------------------------------------------+

How It Works ############

The sample queries all available OpenVINO™ Runtime devices, prints their supported metrics and plugin configuration parameters.

Building ########

To build the sample, please use instructions available at :doc:Build the Sample Applications <openvino_docs_OV_UG_Samples_Overview> section in OpenVINO™ Toolkit Samples guide.

Running #######

To see quired information, run the following:

.. code-block:: console

hello_query_device

Sample Output #############

The application prints all available devices with their supported metrics and default values for configuration parameters:

.. code-block:: console

[ INFO ] OpenVINO Runtime version ......... [ INFO ] Build ........... [ INFO ] [ INFO ] Available devices: [ INFO ] CPU [ INFO ] SUPPORTED_METRICS: [ INFO ] AVAILABLE_DEVICES : [ ] [ INFO ] FULL_DEVICE_NAME : Intel(R) Core(TM) i5-8350U CPU @ 1.70GHz [ INFO ] OPTIMIZATION_CAPABILITIES : [ FP32 FP16 INT8 BIN ] [ INFO ] RANGE_FOR_ASYNC_INFER_REQUESTS : { 1, 1, 1 } [ INFO ] RANGE_FOR_STREAMS : { 1, 8 } [ INFO ] IMPORT_EXPORT_SUPPORT : true [ INFO ] SUPPORTED_CONFIG_KEYS (default values): [ INFO ] CACHE_DIR : "" [ INFO ] CPU_BIND_THREAD : NO [ INFO ] CPU_THREADS_NUM : 0 [ INFO ] CPU_THROUGHPUT_STREAMS : 1 [ INFO ] DUMP_EXEC_GRAPH_AS_DOT : "" [ INFO ] DYN_BATCH_ENABLED : NO [ INFO ] DYN_BATCH_LIMIT : 0 [ INFO ] ENFORCE_BF16 : NO [ INFO ] EXCLUSIVE_ASYNC_REQUESTS : NO [ INFO ] PERFORMANCE_HINT : "" [ INFO ] PERFORMANCE_HINT_NUM_REQUESTS : 0 [ INFO ] PERF_COUNT : NO [ INFO ] [ INFO ] GNA [ INFO ] SUPPORTED_METRICS: [ INFO ] AVAILABLE_DEVICES : [ GNA_SW_EXACT ] [ INFO ] OPTIMAL_NUMBER_OF_INFER_REQUESTS : 1 [ INFO ] FULL_DEVICE_NAME : GNA_SW_EXACT [ INFO ] GNA_LIBRARY_FULL_VERSION : 3.0.0.1455 [ INFO ] IMPORT_EXPORT_SUPPORT : true [ INFO ] SUPPORTED_CONFIG_KEYS (default values): [ INFO ] EXCLUSIVE_ASYNC_REQUESTS : NO [ INFO ] GNA_COMPACT_MODE : YES [ INFO ] GNA_COMPILE_TARGET : "" [ INFO ] GNA_DEVICE_MODE : GNA_SW_EXACT [ INFO ] GNA_EXEC_TARGET : "" [ INFO ] GNA_FIRMWARE_MODEL_IMAGE : "" [ INFO ] GNA_FIRMWARE_MODEL_IMAGE_GENERATION : "" [ INFO ] GNA_LIB_N_THREADS : 1 [ INFO ] GNA_PRECISION : I16 [ INFO ] GNA_PWL_MAX_ERROR_PERCENT : 1.000000 [ INFO ] GNA_PWL_UNIFORM_DESIGN : NO [ INFO ] GNA_SCALE_FACTOR : 1.000000 [ INFO ] GNA_SCALE_FACTOR_0 : 1.000000 [ INFO ] LOG_LEVEL : LOG_NONE [ INFO ] PERF_COUNT : NO [ INFO ] SINGLE_THREAD : YES