openvino/docs/IE_DG/supported_plugins/HDDL.md

HDDL Plugin

Introducing the HDDL Plugin

The Inference Engine 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 OSs, refer to the Steps for Intel® Vision Accelerator Design with Intel® Movidius™ VPUs section in the installation guides for Linux or Windows.

Supported networks

For the "Supported Networks", please reference to MYRIAD Plugin

Supported Configuration Parameters

See VPU common configuration parameters for the VPU Plugins. When specifying key values as raw strings (that is, when using Python API), omit the KEY_ prefix.

In addition to common parameters for MYRIAD plugin and HDDL plugin, HDDL plugin accepts the following options:

Parameter Name	Parameter Values	Default	Description
KEY_PERF_COUNT	YES/NO	NO	Enable performance counter option.
KEY_VPU_HDDL_GRAPH_TAG	string	empty string	Allows to execute network on specified count of devices.
KEY_VPU_HDDL_STREAM_ID	string	empty string	Allows to execute inference on a specified device.
KEY_VPU_HDDL_DEVICE_TAG	string	empty string	Allows to allocate/deallocate networks on specified devices.
KEY_VPU_HDDL_BIND_DEVICE	YES/NO	NO	Whether the network should bind to a device. Refer to vpu_plugin_config.hpp.
KEY_VPU_HDDL_RUNTIME_PRIORITY	signed int	0	Specify the runtime priority of a device among all devices that running a same network Refer to vpu_plugin_config.hpp.

See Also

• Supported Devices
• VPU Plugins
• MYRIAD Plugin