1cfe27ae1f
* Add information about model preparation * Add the missed file extension for the onnx model * [c] Add information about model preparation * [cpp] Add information about model preparation * Update the string about model converter * Specify a model name at steps 1 and 2 of the running example
5.1 KiB
5.1 KiB
Hello Query Device Python* Sample
This sample demonstrates how to show Inference Engine devices and prints their metrics and default configuration values using Query Device API feature.
The following Inference Engine Python API is used in the application:
| Feature | API | Description |
|---|---|---|
| Basic | IECore | Common API |
| Query Device | IECore.get_metric, IECore.get_config | Get device properties |
| Options | Values |
|---|---|
| Supported devices | All |
| Other language realization | C++ |
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:
python <path_to_sample>/hello_query_device.py
Sample Output
The application prints all available devices with their supported metrics and default values for configuration parameters. (Some lines are not shown due to length.) For example:
[ INFO ] Creating Inference Engine
[ 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 ]
[ INFO ] SUPPORTED_CONFIG_KEYS (default values):
[ INFO ] CPU_BIND_THREAD: NUMA
[ 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 ] 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: 2.0.0.1047
[ INFO ]
[ INFO ] SUPPORTED_CONFIG_KEYS (default values):
[ INFO ] EXCLUSIVE_ASYNC_REQUESTS: NO
[ INFO ] GNA_COMPACT_MODE: NO
[ INFO ] GNA_DEVICE_MODE: GNA_SW_EXACT
[ INFO ] GNA_FIRMWARE_MODEL_IMAGE:
[ INFO ] GNA_FIRMWARE_MODEL_IMAGE_GENERATION:
[ INFO ] GNA_LIB_N_THREADS: 1
[ INFO ] GNA_PRECISION: I16
[ INFO ] GNA_PWL_UNIFORM_DESIGN: NO
[ INFO ] GNA_SCALE_FACTOR: 1.000000
[ INFO ] GNA_SCALE_FACTOR_0: 1.000000
[ INFO ] PERF_COUNT: NO
[ INFO ] SINGLE_THREAD: YES
[ INFO ]
[ INFO ] GPU :
[ INFO ] SUPPORTED_METRICS:
[ INFO ] AVAILABLE_DEVICES: 0
[ INFO ] FULL_DEVICE_NAME: Intel(R) UHD Graphics 620 (iGPU)
[ INFO ] OPTIMIZATION_CAPABILITIES: FP32, BIN, FP16
[ INFO ] RANGE_FOR_ASYNC_INFER_REQUESTS: 1, 2, 1
[ INFO ] RANGE_FOR_STREAMS: 1, 2
[ INFO ]
[ INFO ] SUPPORTED_CONFIG_KEYS (default values):
[ INFO ] CACHE_DIR:
[ INFO ] CLDNN_ENABLE_FP16_FOR_QUANTIZED_MODELS: YES
[ INFO ] CLDNN_GRAPH_DUMPS_DIR:
[ INFO ] CLDNN_MEM_POOL: YES
[ INFO ] CLDNN_NV12_TWO_INPUTS: NO
[ INFO ] CLDNN_PLUGIN_PRIORITY: 0
[ INFO ] CLDNN_PLUGIN_THROTTLE: 0
[ INFO ] CLDNN_SOURCES_DUMPS_DIR:
[ INFO ] CONFIG_FILE:
[ INFO ] DEVICE_ID:
[ INFO ] DUMP_KERNELS: NO
[ INFO ] DYN_BATCH_ENABLED: NO
[ INFO ] EXCLUSIVE_ASYNC_REQUESTS: NO
[ INFO ] GPU_THROUGHPUT_STREAMS: 1
[ INFO ] PERF_COUNT: NO
[ INFO ] TUNING_FILE:
[ INFO ] TUNING_MODE: TUNING_DISABLED
[ INFO ]