How to detect openvino devices in cpp code

Question

I am using OpenVINO 2019 and I need to detect the CPU and VPU for my project. Previously in 2018 version I had used some API, but now they are missing in new version.

So what is the proper way to detect openvino devices in a cpp code.

Answer 1

There is a hello query device sample in the below path.

C:\Program Files (x86)\IntelSWTools\openvino_\inference_engine\samples\hello_query_device

It queries Inference Engine devices and prints their metrics and default configuration values. The sample shows how to use Query Device API feature.

NOTE: This topic describes usage of C++ implementation of the Query Device Sample. For the Python* implementation, refer to Hello Query Device Python* Sample

Running

To see quired information, run the following:

./hello_query_device

Sample Output

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

Available devices: 
    Device: CPU
    Metrics: 
        AVAILABLE_DEVICES : [ 0 ]
        SUPPORTED_METRICS : [ AVAILABLE_DEVICES SUPPORTED_METRICS FULL_DEVICE_NAME OPTIMIZATION_CAPABILITIES SUPPORTED_CONFIG_KEYS RANGE_FOR_ASYNC_INFER_REQUESTS RANGE_FOR_STREAMS ]
        FULL_DEVICE_NAME : Intel(R) Core(TM) i7-8700 CPU @ 3.20GHz
        OPTIMIZATION_CAPABILITIES : [ WINOGRAD FP32 INT8 BIN ]
        SUPPORTED_CONFIG_KEYS : [ CPU_BIND_THREAD CPU_THREADS_NUM CPU_THROUGHPUT_STREAMS DUMP_EXEC_GRAPH_AS_DOT DYN_BATCH_ENABLED DYN_BATCH_LIMIT EXCLUSIVE_ASYNC_REQUESTS PERF_COUNT ]
        ...
    Default values for device configuration keys: 
        CPU_BIND_THREAD : YES
        CPU_THREADS_NUM : 0
        CPU_THROUGHPUT_STREAMS : 1
        DUMP_EXEC_GRAPH_AS_DOT : ""
        DYN_BATCH_ENABLED : NO
        DYN_BATCH_LIMIT : 0
        EXCLUSIVE_ASYNC_REQUESTS : NO
        PERF_COUNT : NO

    Device: FPGA
    Metrics: 
        AVAILABLE_DEVICES : [ 0 ]
        SUPPORTED_METRICS : [ AVAILABLE_DEVICES SUPPORTED_METRICS SUPPORTED_CONFIG_KEYS FULL_DEVICE_NAME OPTIMIZATION_CAPABILITIES RANGE_FOR_ASYNC_INFER_REQUESTS ]
        SUPPORTED_CONFIG_KEYS : [ DEVICE_ID PERF_COUNT EXCLUSIVE_ASYNC_REQUESTS DLIA_IO_TRANSFORMATIONS_NATIVE DLIA_ARCH_ROOT_DIR DLIA_PERF_ESTIMATION ]
        FULL_DEVICE_NAME : a10gx_2ddr : Intel Vision Accelerator Design with Intel Arria 10 FPGA (acla10_1150_sg10)
        OPTIMIZATION_CAPABILITIES : [ FP16 ]
        RANGE_FOR_ASYNC_INFER_REQUESTS : { 2, 5, 1 }
    Default values for device configuration keys: 
        DEVICE_ID : [ 0 ]
        PERF_COUNT : true
        EXCLUSIVE_ASYNC_REQUESTS : false
        DLIA_IO_TRANSFORMATIONS_NATIVE : false
        DLIA_PERF_ESTIMATION : true