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* refactor: update ie python samples * python samples: change comment about infer request creation (step 5) * python sample: add the ability to run object_detection_sample_ssd.py with a model with 2 outputs * Add batch size usage to python style transfer sample * Change comment about model reading * Add output queue to classification async sample * add reshape for output to catch results with more than 2 dimensions (classification samples) * Set a log output stream to stdout to pass the hello query device test * Add comments to the hello query device sample * Set sys.stdout as a logging stream for all python IE samples * Add batch size usage to ngraph_function_creation_sample * Return the ability to read an image from a ubyte file * Add few comments and function docstrings * Restore IE python classification samples output * Add --original_size arg for python style transfer sample * Change log message to pass tests (object detection ie python sample) * Return python shebang * Add comment about a probs array sorting using np.argsort
Hello Query Device Python* Sample
This topic demonstrates how to run the Hello Query Device sample application, which queries Inference Engine devices and prints their metrics and default configuration values. The sample shows how to use Query Device API feature.
How It Works
The sample queries all available Inference Engine devices and prints their supported metrics and plugin configuration parameters.
Running
The sample has no command-line parameters. To see the report, run the following command:
python3 hello_query_device.py
Sample Output
The application prints all available devices with their supported metrics and default values for configuration parameters. For example:
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) i7-8700K CPU @ 3.70GHz
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, RANGE_FOR_ASYNC_INFER_REQUESTS, RANGE_FOR_STREAMS
RANGE_FOR_ASYNC_INFER_REQUESTS: 0, 6, 1
RANGE_FOR_STREAMS: 1, 12
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
RANGE_FOR_ASYNC_INFER_REQUESTS: 1
RANGE_FOR_STREAMS: 6