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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
* Added Intel® Iris® Xe Dedicated Graphics, naming convention info (#3523)
* Added Intel® Iris® Xe Dedicated Graphics, naming convention info
* Added GPU.0 GPU.1
* added info about Intel® Iris® Xe MAX Graphics drivers
* Feature/azaytsev/transition s3 bucket (#3609)
* Replaced https://download.01.org/ links with https://storage.openvinotoolkit.org/
* Fixed links
# Conflicts:
# inference-engine/ie_bridges/java/samples/README.md
* Benchmarks 2021 2 (#3590)
* Initial changes
* Updates
* Updates
* Updates
* Fixed graph names
* minor fix
* Fixed link
* Implemented changes according to the review changes
* fixed links
* Updated Legal_Information.md according to review feedback
* Replaced Uzel* UI-AR8 with Mustang-V100-MX8
* Feature/azaytsev/ovsa docs (#3627)
* Added ovsa_get_started.md
* Fixed formatting issues
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* Formatting issues fixes
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* Revert "Formatting issues fixes"
This reverts commit c6e6207431.
* Replaced to Security section
* doc fixes (#3626)
Co-authored-by: Nikolay Tyukaev <ntyukaev_lo@jenkins.inn.intel.com>
# Conflicts:
# docs/IE_DG/network_state_intro.md
* fix latex formula (#3630)
Co-authored-by: Nikolay Tyukaev <ntyukaev_lo@jenkins.inn.intel.com>
* fix comments ngraph api 2021.2 (#3520)
* fix comments ngraph api
* remove whitespace
* fixes
Co-authored-by: Nikolay Tyukaev <ntyukaev_lo@jenkins.inn.intel.com>
* Feature/azaytsev/g api docs (#3731)
* Initial commit
* Added content
* Added new content for g-api documentation. Removed obsolete links through all docs
* Fixed layout
* Fixed layout
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* Added new info
* added a note
* Removed redundant .svg
# Conflicts:
# docs/get_started/get_started_dl_workbench.md
* [Cherry-pick] DL Workbench cross-linking (#3488)
* Added links to MO and Benchmark App
* Changed wording
* Fixes a link
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* Removed an extra point
* cherry-pick
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* More instructions and images
* Added slide
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* fixes
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* Added link to Benchmark app
* Replaced the image
* tiny fix
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* Fixed a typo
* Feature/azaytsev/g api docs (#3731)
* Initial commit
* Added content
* Added new content for g-api documentation. Removed obsolete links through all docs
* Fixed layout
* Fixed layout
* Added new topics
* Added new info
* added a note
* Removed redundant .svg
* Doc updates 2021 2 (#3749)
* Change the name of parameter tensorflow_use_custom_operations_config to transformations_config
* Fixed formatting
* Corrected MYRIAD plugin name
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* Updated IGS, added links to Get Started Guides
* Fixed links
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* Move the Note to the proper place
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# Conflicts:
# docs/ops/detection/DetectionOutput_1.md
* minor fix
* Benchmark updates (#4041)
* Link fixes for 2021.2 benchmark page (#4086)
* Benchmark updates
* Fixed links
Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com>
Co-authored-by: Nikolay Tyukaev <nikolay.tyukaev@intel.com>
Co-authored-by: Nikolay Tyukaev <ntyukaev_lo@jenkins.inn.intel.com>
Co-authored-by: Alina Alborova <alina.alborova@intel.com>
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2.4 KiB
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 | signed int | 0 | Specify the runtime priority of a device among all devices that running a same network Refer to vpu_plugin_config.hpp. |