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Nikolay Tyukaev ef45b5da8d Doc Migration (master) (#1377 )

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Updated from 2020.3 to 2020.4

Co-authored-by: domi2000 <domi2000@users.noreply.github.com>

2020-07-20 17:36:08 +03:00

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HDDL Plugin

Introducing HDDL Plugin

The Inference Engine HDDL plugin is developed for inference of neural networks on Intel® Vision Accelerator Design with Intel® Movidius™ VPUs which is designed for use cases those require large throughput of deep learning inference. It provides dozens amount of throughput as MYRIAD Plugin.

Installation on Linux* OS

For installation instructions, refer to the Installation Guide for Linux*.

Installation on Windows* OS

For installation instructions, refer to the Installation Guide for 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	singed int	0	Specify the runtime priority of a device among all devices that running a same network Refer to vpu_plugin_config.hpp.

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