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* Added info on DockerHub CI Framework * Feature/azaytsev/change layout (#3295) * Changes according to feedback comments * Replaced @ref's with html links * Fixed links, added a title page for installing from repos and images, fixed formatting issues * Added links * minor fix * Added DL Streamer to the list of components installed by default * Link fixes * Link fixes * ovms doc fix (#2988) * added OpenVINO Model Server * ovms doc fixes Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com> * Updated openvino_docs.xml * Edits to MO Per findings spreadsheet * macOS changes per issue spreadsheet * Fixes from review spreadsheet Mostly IE_DG fixes * Consistency changes * Make doc fixes from last round of review * integrate changes from baychub/master * Update Intro.md * Update Cutting_Model.md * Update Cutting_Model.md * Fixed link to Customize_Model_Optimizer.md Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com> Co-authored-by: baychub <cbay@yahoo.com>
36 lines
2.6 KiB
Markdown
36 lines
2.6 KiB
Markdown
# HDDL Plugin {#openvino_docs_IE_DG_supported_plugins_HDDL}
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## Introducing the HDDL Plugin
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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.
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## Configuring the HDDL Plugin
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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](../../install_guides/installing-openvino-linux.md) or [Windows](../../install_guides/installing-openvino-windows.md).
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## Supported networks
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For the "Supported Networks", please reference to [MYRIAD Plugin](MYRIAD.md)
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## Supported Configuration Parameters
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See VPU common configuration parameters for the [VPU Plugins](VPU.md).
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When specifying key values as raw strings (that is, when using Python API), omit the `KEY_` prefix.
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In addition to common parameters for MYRIAD plugin and HDDL plugin, HDDL plugin accepts the following options:
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| Parameter Name | Parameter Values | Default | Description |
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| :--- | :--- | :--- | :--- |
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| KEY_PERF_COUNT | YES/NO | NO | Enable performance counter option. |
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| KEY_VPU_HDDL_GRAPH_TAG | string | empty string | Allows to execute network on specified count of devices. |
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| KEY_VPU_HDDL_STREAM_ID | string | empty string | Allows to execute inference on a specified device. |
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| KEY_VPU_HDDL_DEVICE_TAG | string | empty string | Allows to allocate/deallocate networks on specified devices. |
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| KEY_VPU_HDDL_BIND_DEVICE | YES/NO | NO | Whether the network should bind to a device. Refer to vpu_plugin_config.hpp. |
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| 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. |
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## See Also
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* [Supported Devices](Supported_Devices.md)
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* [VPU Plugins](VPU.md)
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* [MYRIAD Plugin](MYRIAD.md)
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