140 lines
4.7 KiB
ReStructuredText
140 lines
4.7 KiB
ReStructuredText
.. {#openvino_sample_hello_query_device}
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Hello Query Device Sample
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=========================
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.. meta::
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:description: Learn how to show metrics and default
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configuration values of inference devices using Query
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Device API feature (Python, C++).
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This sample demonstrates how to show OpenVINO™ Runtime devices and prints their
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metrics and default configuration values using :doc:`Query Device API feature <../../openvino-workflow/running-inference/inference-devices-and-modes/query-device-properties>`.
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To build the sample, use instructions available at :ref:`Build the Sample Applications <build-samples>`
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section in "Get Started with Samples" guide.
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How It Works
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####################
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The sample queries all available OpenVINO™ Runtime devices and prints their
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supported metrics and plugin configuration parameters.
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.. tab-set::
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.. tab-item:: Python
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:sync: python
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.. scrollbox::
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.. doxygensnippet:: samples/python/hello_query_device/hello_query_device.py
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:language: python
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.. tab-item:: C++
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:sync: cpp
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.. scrollbox::
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.. doxygensnippet:: samples/cpp/hello_query_device/main.cpp
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:language: cpp
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Running
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####################
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The sample has no command-line parameters. To see the report, run the following command:
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.. tab-set::
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.. tab-item:: Python
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:sync: python
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.. code-block:: console
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python hello_query_device.py
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.. tab-item:: C++
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:sync: cpp
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.. code-block:: console
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hello_query_device
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Sample Output
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####################
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The application prints all available devices with their supported metrics and
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default values for configuration parameters.
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For example:
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.. tab-set::
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.. tab-item:: Python
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:sync: python
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.. code-block:: console
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[ INFO ] Available devices:
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[ INFO ] CPU :
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[ INFO ] SUPPORTED_PROPERTIES:
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[ INFO ] AVAILABLE_DEVICES:
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[ INFO ] FULL_DEVICE_NAME: Intel(R) Core(TM) i5-8350U CPU @ 1.70GHz
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[ INFO ] OPTIMIZATION_CAPABILITIES: FP32, FP16, INT8, BIN
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[ INFO ] RANGE_FOR_ASYNC_INFER_REQUESTS: 1, 1, 1
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[ INFO ] RANGE_FOR_STREAMS: 1, 8
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[ INFO ] IMPORT_EXPORT_SUPPORT: True
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[ INFO ] CACHE_DIR:
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[ INFO ] ENABLE_CPU_PINNING: NO
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[ INFO ] INFERENCE_NUM_THREADS: 0
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[ INFO ] NUM_STREAMS: 1
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[ INFO ] DUMP_EXEC_GRAPH_AS_DOT:
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[ INFO ] INFERENCE_PRECISION_HINT: f32
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[ INFO ] EXCLUSIVE_ASYNC_REQUESTS: NO
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[ INFO ] PERFORMANCE_HINT:
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[ INFO ] PERFORMANCE_HINT_NUM_REQUESTS: 0
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[ INFO ] PERF_COUNT: NO
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.. tab-item:: C++
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:sync: cpp
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.. code-block:: console
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[ INFO ] OpenVINO Runtime version ......... <version>
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[ INFO ] Build ........... <build>
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[ INFO ]
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[ INFO ] Available devices:
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[ INFO ] CPU
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[ INFO ] SUPPORTED_PROPERTIES:
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[ INFO ] AVAILABLE_DEVICES : [ ]
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[ INFO ] FULL_DEVICE_NAME : Intel(R) Core(TM) i5-8350U CPU @ 1.70GHz
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[ INFO ] OPTIMIZATION_CAPABILITIES : [ FP32 FP16 INT8 BIN ]
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[ INFO ] RANGE_FOR_ASYNC_INFER_REQUESTS : { 1, 1, 1 }
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[ INFO ] RANGE_FOR_STREAMS : { 1, 8 }
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[ INFO ] IMPORT_EXPORT_SUPPORT : true
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[ INFO ] CACHE_DIR : ""
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[ INFO ] ENABLE_CPU_PINNING : NO
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[ INFO ] INFERENCE_NUM_THREADS : 0
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[ INFO ] NUM_STREAMS : 1
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[ INFO ] DUMP_EXEC_GRAPH_AS_DOT : ""
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[ INFO ] INFERENCE_PRECISION_HINT : f32
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[ INFO ] EXCLUSIVE_ASYNC_REQUESTS : NO
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[ INFO ] PERFORMANCE_HINT : ""
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[ INFO ] PERFORMANCE_HINT_NUM_REQUESTS : 0
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[ INFO ] PERF_COUNT : NO
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Additional Resources
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####################
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- :doc:`Integrate the OpenVINO™ Runtime with Your Application <../../openvino-workflow/running-inference/integrate-openvino-with-your-application>`
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- :doc:`Get Started with Samples <get-started-demos>`
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- :doc:`Using OpenVINO™ Toolkit Samples <../openvino-samples>`
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- `Hello Query Device Python Sample on Github <https://github.com/openvinotoolkit/openvino/blob/master/samples/python/hello_query_device/README.md>`__
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- `Hello Query Device C++ Sample on Github <https://github.com/openvinotoolkit/openvino/blob/master/samples/cpp/hello_query_device/README.md>`__
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