* update hello_classification readme * update classification_async readme * update hello_query_device readme * Fix hello_classification launch line * Update hello_reshape_ssd readme * update speech sample docs * update ngraph sample docs * fix launch command * refactor py ngraph imports * Replace `network` with `model` * update example section with openvino-dev * Update samples/python/classification_sample_async/README.md Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com> * Update samples/python/classification_sample_async/README.md Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com> * Update samples/python/hello_classification/README.md Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com> * Update samples/python/hello_classification/README.md Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com> * Update samples/python/hello_reshape_ssd/README.md Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com> * Update samples/python/ngraph_function_creation_sample/README.md Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com> * Update samples/python/ngraph_function_creation_sample/README.md Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com> * Update samples/python/ngraph_function_creation_sample/README.md Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com> * Update samples/python/ngraph_function_creation_sample/README.md Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com> * Replace `Inference Engine` with `OpenVINO` * fix ngraph ref * Replace `Inference Engine` by `OpenVINO™ Runtime` * Fix IR mentions Co-authored-by: Vladimir Dudnik <vladimir.dudnik@intel.com> Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com> Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>
4.2 KiB
4.2 KiB
Hello Query Device Python* Sample
This sample demonstrates how to show OpenVINO™ Runtime devices and prints their metrics and default configuration values using Query Device API feature.
The following Python API is used in the application:
| Feature | API | Description |
|---|---|---|
| Basic | [openvino.runtime.Core] | Common API |
| Query Device | [openvino.runtime.Core.available_devices], [openvino.runtime.Core.get_metric], [openvino.runtime.Core.get_config] | Get device properties |
| Options | Values |
|---|---|
| Supported devices | All |
| Other language realization | C++ |
How It Works
The sample queries all available OpenVINO™ Runtime 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:
python hello_query_device.py
Sample Output
The application prints all available devices with their supported metrics and default values for configuration parameters.
For example:
[ 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 ]
[ 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
[ INFO ] OPTIMAL_NUMBER_OF_INFER_REQUESTS: 1
[ INFO ] FULL_DEVICE_NAME: GNA_SW
[ INFO ] GNA_LIBRARY_FULL_VERSION: 3.0.0.1455
[ INFO ] IMPORT_EXPORT_SUPPORT: True
[ INFO ]
[ 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