openvino/docs/OV_Runtime_UG/supported_plugins/HDDL.md

HDDL Device

Introducing the HDDL Plugin

The OpenVINO Runtime HDDL plugin was developed for inference with neural networks on Intel® Vision Accelerator Design with Intel® Movidius™ VPUs. It is designed for use cases that require large throughput for deep learning inference, up to dozens of times more than the MYRIAD Plugin.

Configuring the HDDL Plugin

To configure your Intel® Vision Accelerator Design With Intel® Movidius™ on supported operating systems, refer to the Additional Configurations for VPU in Installation Guide.

Note

: The HDDL and Myriad plugins may cause conflicts when used at the same time. To ensure proper operation in such a case, the number of booted devices needs to be limited in the 'hddl_autoboot.config' file. Otherwise, the HDDL plugin will boot all available Intel® Movidius™ Myriad™ X devices.

Supported networks

To see the list of supported networks for the HDDL plugin, refer to the list on the MYRIAD Plugin page.

Supported Configuration Parameters

For information on VPU common configuration parameters, see the VPU Plugins. When specifying key values as raw strings (when using the Python API), omit the KEY_ prefix.

In addition to common parameters for both VPU plugins, the HDDL plugin accepts the following options:

Parameter Name	Parameter Values	Default	Description
KEY_PERF_COUNT	YES/NO	NO	Enables performance counter option.
KEY_VPU_HDDL_GRAPH_TAG	string	empty string	Allows executing network on specified count of devices.
KEY_VPU_HDDL_STREAM_ID	string	empty string	Allows executing inference on a specified device.
KEY_VPU_HDDL_DEVICE_TAG	string	empty string	Allows allocating/deallocating networks on specified devices.
KEY_VPU_HDDL_BIND_DEVICE	YES/NO	NO	Enables the network to be bound to a device. Refer to the 'vpu_plugin_config.hpp' file.
KEY_VPU_HDDL_RUNTIME_PRIORITY	signed int	0	Specifies the runtime priority of a device among all devices running the same network. Refer to the vpu_plugin_config.hpp file.

Additional Resources

• Supported Devices
• VPU Plugins
• MYRIAD Plugin