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Introduction to Inference Engine Device Query API

Inference Engine Query API (C++)

C++

The OpenVINO™ toolkit supports inferencing with several types of devices (processors or accelerators). This section provides a high-level description of the process of querying of different device properties and configuration values at runtime. Refer to the Hello Query Device С++ Sample sources and the Multi-Device Plugin documentation for examples of using the Inference Engine Query API in user applications.

Using the Inference Engine Query API in Your Code

The InferenceEngine::Core class provides the following API to query device information, set or get different device configuration properties:

The InferenceEngine::ExecutableNetwork class is also extended to support the Query API:

Query API in the Core Class

GetAvailableDevices

InferenceEngine::Core core;
std::vector<std::string> availableDevices = core.GetAvailableDevices();

The function returns a list of available devices, for example:

MYRIAD.1.2-ma2480
MYRIAD.1.4-ma2480
FPGA.0
FPGA.1
CPU
GPU.0
GPU.1

Each device name can then be passed to:

GetConfig()

The code below demonstrates how to understand whether the HETERO device dumps GraphViz .dot files with split graphs during the split stage:

InferenceEngine::Core core;
bool dumpDotFile = core.GetConfig("HETERO", HETERO_CONFIG_KEY(DUMP_GRAPH_DOT)).as<bool>();

For documentation about common configuration keys, refer to ie_plugin_config.hpp. Device specific configuration keys can be found in corresponding plugin folders.

GetMetric()

  • To extract device properties such as available device, device name, supported configuration keys, and others, use the InferenceEngine::Core::GetMetric method:

InferenceEngine::Core core;
std::string cpuDeviceName = core.GetMetric("GPU", METRIC_KEY(FULL_DEVICE_NAME)).as<std::string>();

A returned value appears as follows: Intel(R) Core(TM) i7-8700 CPU @ 3.20GHz.

Note

All metrics have a type, which is specified during metric instantiation. The list of common device-agnostic metrics can be found in ie_plugin_config.hpp. Device specific metrics (for example, for HDDL or MYRIAD devices) can be found in corresponding plugin folders.

Query API in the ExecutableNetwork Class

GetMetric()

The method is used to get an executable network specific metric such as METRIC_KEY(OPTIMAL_NUMBER_OF_INFER_REQUESTS) :

InferenceEngine::Core core;
auto network = core.ReadNetwork("sample.xml");
auto exeNetwork = core.LoadNetwork(network, "CPU");
auto nireq = exeNetwork.GetMetric(METRIC_KEY(OPTIMAL_NUMBER_OF_INFER_REQUESTS)).as<unsigned int>();

Or the current temperature of the MYRIAD device:

InferenceEngine::Core core;
auto network = core.ReadNetwork("sample.xml");
auto exeNetwork = core.LoadNetwork(network, "MYRIAD");
float temperature = exeNetwork.GetMetric(METRIC_KEY(DEVICE_THERMAL)).as<float>();

GetConfig()

The method is used to get information about configuration values the executable network has been created with:

InferenceEngine::Core core;
auto network = core.ReadNetwork("sample.xml");
auto exeNetwork = core.LoadNetwork(network, "CPU");
auto ncores = exeNetwork.GetConfig(PluginConfigParams::KEY_CPU_THREADS_NUM).as<std::string>();

SetConfig()

The only device that supports this method is Multi-Device.

Inference Engine Query API (Python)

Python

This section provides a high-level description of the process of querying of different device properties and configuration values. Refer to the Hello Query Device Python Sample sources and the Multi-Device Plugin documentation for examples of using the Inference Engine Query API in user applications.

Using the Inference Engine Query API in Your Code

The Inference Engine Core class provides the following API to query device information, set or get different device configuration properties:

The ie_api.ExecutableNetwork class is also extended to support the Query API:

Query API in the IECore Class

Get Available Devices

from openvino.inference_engine import IECore

ie = IECore()
print(ie.available_devices)

This code prints a list of available devices, for example:

MYRIAD.1.2-ma2480
MYRIAD.1.4-ma2480
FPGA.0
FPGA.1
CPU
GPU.0
GPU.1

Each device name can then be passed to:

  • IECore.load_network to load the network to a specific device.

  • IECore.get_metric to get common or device specific metrics.

  • All other methods of the IECore class that accept deviceName.

Get Metric

To extract device properties such as available device, device name, supported configuration keys, and others, use the IECore.get_metric method:

from openvino.inference_engine import IECore

ie = IECore()
ie.get_metric(device_name="CPU", metric_name="FULL_DEVICE_NAME")

A returned value appears as follows: Intel(R) Core(TM) i7-8700 CPU @ 3.20GHz.

To list all supported metrics for a device:

from openvino.inference_engine import IECore

ie = IECore()
ie.get_metric(device_name="GPU", metric_name="SUPPORTED_METRICS")

Note

All metrics have a specific type, which is set during the metric instantiation. The list of common device-agnostic metrics can be found in ie_plugin_config.hpp. Device specific metrics (for example, for HDDL, MYRIAD devices) can be found in corresponding plugin folders.

Get Configuration

The code below uses the IECore.get_config method and demonstrates how to understand whether the HETERO device dumps .dot files with split graphs during the split stage:

from openvino.inference_engine import IECore

ie = IECore()
ie.get_config(device_name="HETERO", config_name="HETERO_DUMP_GRAPH_DOT")

To list all supported configuration keys for a device:

from openvino.inference_engine import IECore

ie = IECore()
ie.get_metric(device_name=device, metric_name="SUPPORTED_CONFIG_KEYS")

For documentation about common configuration keys, refer to ie_plugin_config.hpp. Device specific configuration keys can be found in corresponding plugin folders.

Query API in the ExecutableNetwork Class

Get Metric

To get the name of the loaded network:

from openvino.inference_engine import IECore

ie = IECore()
net = ie.read_network(model=path_to_xml_file)
exec_net = ie.load_network(network=net, device_name=device)
exec_net.get_metric("NETWORK_NAME")

Use exec_net.get_metric("SUPPORTED_METRICS") to list all supported metrics for an ExecutableNetwork instance.

Get Configuration

The IECore.get_config method is used to get information about configuration values the executable network has been created with:

from openvino.inference_engine import IECore

ie = IECore()
net = ie.read_network(model=path_to_xml_file)
exec_net = ie.load_network(network=net, device_name="CPU")
exec_net.get_config("CPU_THREADS_NUM")

Or the current temperature of MYRIAD device:

from openvino.inference_engine import IECore

ie = IECore()
net = ie.read_network(model=path_to_xml_file)
exec_net = ie.load_network(network=net, device_name="MYRIAD")
exec_net.get_config("DEVICE_THERMAL")

Use exec_net.get_metric("SUPPORTED_CONFIG_KEYS") to list all supported configuration keys.

Set Configuration

The only device that supports this method in the ExecutableNetwork class is the Multi-Device, where you can change the priorities of the devices for the Multi plugin in real time: exec_net.set_config({{"MULTI_DEVICE_PRIORITIES", "GPU,CPU"}}). See the Multi-Device documentation for more details.

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