[DOC] Install guides fixes partial port 22.3 (#18257)
partial port of: #17672
This commit is contained in:
Karol Blaszczak
GitHub
parent
eafe1c28ad
commit
642014e4f5
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@ -5,58 +5,63 @@
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.. _gpu guide:
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@endsphinxdirective
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In case if you are intended to use OpenVINO GPU plugin and offload network inference to Intel® graphics processor, the Intel Graphics Driver should be properly configured on your system.
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If it is already installed, and you want to keep it, you can skip the installation steps.
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To use the OpenVINO™ GPU plugin and offload inference to Intel® Processor Graphics (GPU), Intel® Graphics Driver must be properly configured on your system.
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## Linux
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If Intel® Graphics Driver is already installed and you would like to keep it, you can skip the installation steps below.
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To install the latest available **Intel® Graphics Compute Runtime for OpenCL™** for your OS, see the [Install Guides](https://github.com/intel/compute-runtime/releases/latest).
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Linux
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##########
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@sphinxdirective
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To install the latest available **Intel® Graphics Compute Runtime for oneAPI Level Zero and OpenCL™ Driver** for your operating system,
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see its `installation guide on GitHub <https://github.com/intel/compute-runtime/releases/latest>`__.
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.. note::
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If you use RedHat 8 OS please install OpenCL library as prerequisite via following command line: ``sh rpm -ivh http://mirror.centos.org/centos/8-stream/AppStream/x86_64/os/Packages/ocl-icd-2.2.12-1.el8.x86_64.rpm``
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If you use RedHat 8 OS please install OpenCL library as prerequisite via the following command line:
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``sh rpm -ivh http://mirror.centos.org/centos/8-stream/AppStream/x86_64/os/Packages/ocl-icd-2.2.12-1.el8.x86_64.rpm``
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.. note::
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For instructions specific to discrete graphics platforms, refer to `the dgpu guide <https://dgpu-docs.intel.com/installation-guides/index.html>`__ (Intel® Arc™ A-Series Graphics, Intel® Data Center GPU Flex Series, Intel® Data Center GPU MAX Series, Intel® processor graphics Gen12, and Intel® Iris Xe MAX codename DG1).
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@endsphinxdirective
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You may consider installing one of the earlier versions of the driver, based on your particular setup needs.
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It is recommended that you refer to the [Intel® Graphics Compute Runtime Github page](https://github.com/intel/compute-runtime/) for instructions and recommendations on GPU driver installation specific to particular releases, including the list of supported hardware platforms.
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For instructions specific to discrete graphics platforms, refer to `the dgpu guide <https://dgpu-docs.intel.com/installation-guides/index.html>`__
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(Intel® Arc™ A-Series Graphics, Intel® Data Center GPU Flex Series, Intel® Data Center GPU MAX Series, Intel® processor graphics Gen12, and Intel® Iris Xe MAX codename DG1).
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@sphinxdirective
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You may consider installing one of the earlier versions of the driver, based on your particular setup needs. For instructions and recommendations on the installation of a
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specific GPU driver release, as well as the list of supported hardware platforms, refer to the
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`Intel® Graphics Compute Runtime for oneAPI Level Zero and OpenCL™ Driver GitHub home page <https://github.com/intel/compute-runtime/>`__.
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For instructions specific to discrete graphics platforms, refer to `the dgpu guide <https://dgpu-docs.intel.com/installation-guides/index.html>`__,
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including installation guides for Intel® Arc™ A-Series Graphics, Intel® Data Center GPU Flex Series, Intel® Data Center GPU MAX Series, Intel® processor graphics Gen12, and Intel® Iris Xe MAX codename DG1.
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.. _gpu guide windows:
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@endsphinxdirective
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Windows
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##########
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## Windows
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To install the Intel Graphics Driver for Windows on your hardware, please proceed with the [instruction](https://www.intel.com/content/www/us/en/support/articles/000005629/graphics.html).
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To install the Intel Graphics Driver for Windows on your system, follow the `driver installation guide <https://www.intel.com/content/www/us/en/support/articles/000005629/graphics.html>`_.
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To check if you have this driver installed:
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1. Type **device manager** in your **Search Windows** box and press Enter. The **Device Manager** opens.
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2. Click the drop-down arrow to view the **Display adapters**. You can see the adapter that is installed in your computer:
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.. image:: _static/images/DeviceManager.PNG
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:width: 400
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3. Right-click the adapter name and select **Properties**.
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4. Click the **Driver** tab to see the driver version.
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.. image:: _static/images/DeviceDriverVersion.PNG
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:width: 400
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You are done updating your device driver and are ready to use your GPU.
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You are done updating your device driver and ready to use your GPU.
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## Additional info
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Additional info
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####################
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In the internal OpenVINO validation the following versions of Intel Graphics Driver were used:
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For your reference, the following versions of Intel® Graphics Driver were used in the OpenVINO internal validation:
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@sphinxdirective
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+------------------+-------------------------------------------------------------------------------------+
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| Operation System | Driver version |
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@ -17,52 +17,40 @@ You can use `Homebrew <https://brew.sh/>`__ to install OpenVINO Runtime on macOS
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OpenVINO™ Development Tools can be installed via PyPI only.
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See `Installing Additional Components <#optional-installing-additional-components>`__ for more information.
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See the `Release Notes <https://www.intel.com/content/www/us/en/developer/articles/release-notes/openvino-2022-3-lts-relnotes.html>`_
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for more information on updates in the latest release.
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.. warning::
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By downloading and using this container and the included software, you agree to the terms and conditions of the
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`software license agreements <https://software.intel.com/content/dam/develop/external/us/en/documents/intel-openvino-license-agreements.pdf>`_.
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@endsphinxdirective
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## Prerequisites
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.. tab:: System Requirements
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### System Requirements
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| Full requirement listing is available in:
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| `System Requirements Page <https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/system-requirements.html>`__
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@sphinxdirective
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.. tab:: Software Requirements
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Full requirement listing is available on the `System Requirements Page <https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/system-requirements.html>`_
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.. tab:: macOS
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@endsphinxdirective
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* `Homebrew <https://brew.sh/>`_
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* `CMake 3.13 or higher <https://cmake.org/download/>`_ (choose "macOS 10.13 or later"). Add `/Applications/CMake.app/Contents/bin` to path (for default installation).
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* `Python 3.7 - 3.10 <https://www.python.org/downloads/mac-osx/>`_ (choose 3.7 - 3.10). Install and add it to path.
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* Apple Xcode Command Line Tools. In the terminal, run `xcode-select --install` from any directory to install it.
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* (Optional) Apple Xcode IDE (not required for OpenVINO™, but useful for development)
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### Software Requirements
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.. tab:: Linux
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@sphinxdirective
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* `Homebrew <https://brew.sh/>`_
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* `CMake 3.13 or higher, 64-bit <https://cmake.org/download/>`__
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* GCC 7.5.0 (for Ubuntu 18.04) or GCC 9.3.0 (for Ubuntu 20.04)
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* `Python 3.7 - 3.10, 64-bit <https://www.python.org/downloads/>`__
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.. tab:: macOS
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Installing OpenVINO Runtime
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################################
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* `Homebrew <https://brew.sh/>`_
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* `CMake 3.13 or higher <https://cmake.org/download/>`_ (choose "macOS 10.13 or later"). Add `/Applications/CMake.app/Contents/bin` to path (for default installation).
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* `Python 3.7 - 3.10 <https://www.python.org/downloads/mac-osx/>`_ (choose 3.7 - 3.10). Install and add it to path.
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* Apple Xcode Command Line Tools. In the terminal, run `xcode-select --install` from any directory to install it.
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* (Optional) Apple Xcode IDE (not required for OpenVINO™, but useful for development)
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.. tab:: Linux
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* `Homebrew <https://brew.sh/>`_
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* `CMake 3.13 or higher, 64-bit <https://cmake.org/download/>`_
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* GCC 7.5.0 (for Ubuntu 18.04) or GCC 9.3.0 (for Ubuntu 20.04)
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* `Python 3.7 - 3.10, 64-bit <https://www.python.org/downloads/>`_
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@endsphinxdirective
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## Installing OpenVINO Runtime
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@sphinxdirective
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1. Make sure that you have installed HomeBrew on your system. If not, follow the instructions on `the Homebrew website <https://brew.sh/>`_ to install and configure it.
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1. Make sure that you have installed Homebrew on your system. If not, follow the instructions on `the Homebrew website <https://brew.sh/>`_ to install and configure it.
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2. Open a command prompt terminal window, and run the following command to install OpenVINO Runtime:
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@ -70,27 +58,39 @@ Full requirement listing is available on the `System Requirements Page <https://
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brew install openvino
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3. Check if the installation was successful by listing all Homebrew packages:
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.. code-block:: sh
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brew list
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Congratulations, you've finished the installation!
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.. _intall additional components brew:
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@endsphinxdirective
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## (Optional) Installing Additional Components
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@sphinxdirective
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(Optional) Installing Additional Components
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#############################################
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OpenVINO Development Tools is a set of utilities for working with OpenVINO and OpenVINO models. It provides tools like Model Optimizer, Benchmark Tool, Post-Training Optimization Tool, and Open Model Zoo Downloader. If you installed OpenVINO Runtime using Homebrew, OpenVINO Development Tools must be installed separately.
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See **For C++ Developers** section on the :doc:`Install OpenVINO Development Tools <openvino_docs_install_guides_install_dev_tools>` page for instructions.
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OpenVINO Development Tools is a set of utilities for working with OpenVINO and OpenVINO models.
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It provides tools like Model Optimizer, Benchmark Tool, Post-Training Optimization Tool, and Open Model Zoo Downloader.
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If you installed OpenVINO Runtime using Homebrew, OpenVINO Development Tools must be installed separately.
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See the **For C++ Developers** section on the :doc:`Install OpenVINO Development Tools <openvino_docs_install_guides_install_dev_tools>` page for instructions.
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OpenCV is necessary to run demos from Open Model Zoo (OMZ). Some OpenVINO samples can also extend their capabilities when compiled with OpenCV as a dependency. To install OpenCV for OpenVINO, see the `instructions on GitHub <https://github.com/opencv/opencv/wiki/BuildOpenCV4OpenVINO>`__.
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OpenCV is necessary to run demos from Open Model Zoo (OMZ). Some OpenVINO samples can also extend their capabilities when compiled with OpenCV as a dependency. To install OpenCV for OpenVINO, see the `instructions on GitHub <https://github.com/opencv/opencv/wiki/BuildOpenCV4OpenVINO>`_.
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@endsphinxdirective
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## Uninstalling OpenVINO
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To uninstall OpenVINO via HomeBrew, use the following command:
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To uninstall OpenVINO via Homebrew, use the following command:
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```sh
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brew uninstall openvino
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```
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@ -106,7 +106,7 @@ Now that you've installed OpenVINO Runtime, you can try the following things:
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* See pre-trained deep learning models in our :doc:`Open Model Zoo <model_zoo>`.
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* Learn more about :doc:`Inference with OpenVINO Runtime <openvino_docs_OV_UG_OV_Runtime_User_Guide>`.
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* See sample applications in :doc:`OpenVINO toolkit Samples Overview <openvino_docs_OV_UG_Samples_Overview>`.
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* Take a glance at the OpenVINO product home page: https://software.intel.com/en-us/openvino-toolkit.
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* Check out the OpenVINO product home page: https://software.intel.com/en-us/openvino-toolkit.
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@endsphinxdirective
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@ -11,15 +11,9 @@
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.. tab:: System Requirements
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| Full requirement listing is available in:
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| `System Requirements Page <https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/system-requirements.html>`__
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| Full requirement listing is available in:
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| `System Requirements Page <https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/system-requirements.html>`__
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.. comment to publish in the future, when gpu support comes back:
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.. tab:: Processor Notes
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| Not all Intel CPUs include integrated graphics processors.
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| See `Product Specifications <https://ark.intel.com/>`__ for information about your hardware.
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.. tab:: Software
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@ -26,11 +26,11 @@ This guide provides steps on creating a Docker image with Intel® Distribution o
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To launch a Linux image on WSL2 when trying to run inferences on a GPU, make sure that the following requirements are met:
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- Only Windows 10 with 21H2 update or above installed and Windows 11 are supported.
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- Intel GPU driver on Windows host with version 30.0.100.9684 or above need be installed. Please see `this article`_ for more details.
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- From 2022.1 release, the Docker images contain preinstalled recommended version of OpenCL Runtime with WSL2 support.
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.. _this article: https://www.intel.com/content/www/us/en/artificial-intelligence/harness-the-power-of-intel-igpu-on-your-machine.html#articleparagraph_983312434
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- Intel GPU driver for Windows, version 30.0.100.9684 or newer needs to be installed. For more details, refer to
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`this article at intel.com <https://www.intel.com/content/www/us/en/artificial-intelligence/harness-the-power-of-intel-igpu-on-your-machine.html#articleparagraph_983312434>`__.
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- Currently, the Docker images contain preinstalled recommended version of OpenCL Runtime with WSL2 support.
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@endsphinxdirective
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## Installation Flow
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@ -63,60 +63,20 @@ You can also try our [Tutorials](https://github.com/openvinotoolkit/docker_ci/tr
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## <a name="configure-image-docker-linux"></a>Configuring the Image for Different Devices
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If you want to run inferences on a CPU or Intel® Neural Compute Stick 2, no extra configuration is needed. Go to <a href="#run-image-docker-linux">Running the image on different devices</a> for the next step.
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If you want to run inference on a CPU or Intel® Neural Compute Stick 2, no extra configuration is needed. Go to <a href="#run-image-docker-linux">Running the image on different devices</a> for the next step.
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### Configuring Docker Image for GPU
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By default, the distributed Docker image for OpenVINO has the recommended version of Intel® Graphics Compute Runtime for oneAPI Level Zero and OpenCL Driver for the operating system installed inside. If you want to build an image with a custom version of OpenCL Runtime included, you need to modify the Dockerfile using the lines below (the 19.41.14441 version is used as an example) and build the image manually:
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**Ubuntu 18.04/20.04**:
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```sh
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WORKDIR /tmp/opencl
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RUN useradd -ms /bin/bash -G video,users openvino && \
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chown openvino -R /home/openvino
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RUN apt-get update && \
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apt-get install -y --no-install-recommends ocl-icd-libopencl1 && \
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rm -rf /var/lib/apt/lists/* && \
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curl -L "https://github.com/intel/compute-runtime/releases/download/19.41.14441/intel-gmmlib_19.3.2_amd64.deb" --output "intel-gmmlib_19.3.2_amd64.deb" && \
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curl -L "https://github.com/intel/compute-runtime/releases/download/19.41.14441/intel-igc-core_1.0.2597_amd64.deb" --output "intel-igc-core_1.0.2597_amd64.deb" && \
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curl -L "https://github.com/intel/compute-runtime/releases/download/19.41.14441/intel-igc-opencl_1.0.2597_amd64.deb" --output "intel-igc-opencl_1.0.2597_amd64.deb" && \
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curl -L "https://github.com/intel/compute-runtime/releases/download/19.41.14441/intel-opencl_19.41.14441_amd64.deb" --output "intel-opencl_19.41.14441_amd64.deb" && \
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curl -L "https://github.com/intel/compute-runtime/releases/download/19.41.14441/intel-ocloc_19.41.14441_amd64.deb" --output "intel-ocloc_19.04.12237_amd64.deb" && \
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dpkg -i /tmp/opencl/*.deb && \
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ldconfig && \
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rm /tmp/opencl
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```
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**RHEL 8**:
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```sh
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WORKDIR /tmp/opencl
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RUN useradd -ms /bin/bash -G video,users openvino && \
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chown openvino -R /home/openvino
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RUN groupmod -g 44 video
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RUN yum update -y && yum install -y https://dl.fedoraproject.org/pub/epel/epel-release-latest-8.noarch.rpm && \
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yum update -y && yum install -y ocl-icd ocl-icd-devel && \
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yum clean all && rm -rf /var/cache/yum && \
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curl -L https://sourceforge.net/projects/intel-compute-runtime/files/19.41.14441/centos-7/intel-gmmlib-19.3.2-1.el7.x86_64.rpm/download -o intel-gmmlib-19.3.2-1.el7.x86_64.rpm && \
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curl -L https://sourceforge.net/projects/intel-compute-runtime/files/19.41.14441/centos-7/intel-gmmlib-devel-19.3.2-1.el7.x86_64.rpm/download -o intel-gmmlib-devel-19.3.2-1.el7.x86_64.rpm && \
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curl -L https://sourceforge.net/projects/intel-compute-runtime/files/19.41.14441/centos-7/intel-igc-core-1.0.2597-1.el7.x86_64.rpm/download -o intel-igc-core-1.0.2597-1.el7.x86_64.rpm && \
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curl -L https://sourceforge.net/projects/intel-compute-runtime/files/19.41.14441/centos-7/intel-igc-opencl-1.0.2597-1.el7.x86_64.rpm/download -o intel-igc-opencl-1.0.2597-1.el7.x86_64.rpm && \
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curl -L https://sourceforge.net/projects/intel-compute-runtime/files/19.41.14441/centos-7/intel-igc-opencl-devel-1.0.2597-1.el7.x86_64.rpm/download -o intel-igc-opencl-devel-1.0.2597-1.el7.x86_64.rpm && \
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curl -L https://sourceforge.net/projects/intel-compute-runtime/files/19.41.14441/centos-7/intel-opencl-19.41.14441-1.el7.x86_64.rpm/download -o intel-opencl-19.41.14441-1.el7.x86_64.rpm \
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rpm -ivh ${TEMP_DIR}/*.rpm && \
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ldconfig && \
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rm -rf ${TEMP_DIR} && \
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yum remove -y epel-release
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```
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@sphinxdirective
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If you want to run inference on a GPU, follow the instructions provided in the guide on
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:doc:`Configuration for Intel GPU <openvino_docs_install_guides_configurations_for_intel_gpu>`
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@endsphinxdirective
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### <a name="set-up-hddldaemon"></a>Configuring Docker Image for Intel® Vision Accelerator Design with Intel® Movidius™ VPUs
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> **NOTE**: When building the Docker image, create a user in the Dockerfile that has the same UID (User Identifier) and GID (Group Identifier) as the user which that runs hddldaemon on the host, and then run the application in the Docker image with this user. This step is necessary to run the container as a non-root user.
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To use the Docker container for inference on Intel® Vision Accelerator Design with Intel® Movidius™ VPUs, do the following steps:
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To s:use the Docker container for inference on Intel® Vision Accelerator Design with Intel® Movidius™ VPUs, do the following:
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1. Set up the environment on the host machine to be used for running Docker. It is required to execute `hddldaemon`, which is responsible for communication between the HDDL plugin and the board. To learn how to set up the environment (the OpenVINO package or HDDL package must be pre-installed), see [Configuration guide for HDDL device](https://github.com/openvinotoolkit/docker_ci/blob/master/install_guide_vpu_hddl.md) or [Configurations for Intel® Vision Accelerator Design with Intel® Movidius™ VPUs on Linux](configurations-for-ivad-vpu.md).
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2. Run `hddldaemon` on the host in a separate terminal session using the following command:
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@ -11,7 +11,7 @@
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Use APT <openvino_docs_install_guides_installing_openvino_apt>
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Use YUM <openvino_docs_install_guides_installing_openvino_yum>
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Use Conda Forge <openvino_docs_install_guides_installing_openvino_conda>
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Use HomeBrew <openvino_docs_install_guides_installing_openvino_brew>
|
||||
Use Homebrew <openvino_docs_install_guides_installing_openvino_brew>
|
||||
Use Docker <openvino_docs_install_guides_installing_openvino_docker_linux>
|
||||
|
||||
|
||||
|
|
@ -22,7 +22,7 @@ If you want to install OpenVINO™ Runtime on your Linux machine, these are your
|
|||
* :doc:`Install OpenVINO Runtime using from APT <openvino_docs_install_guides_installing_openvino_apt>`
|
||||
* :doc:`Install OpenVINO Runtime using from YUM <openvino_docs_install_guides_installing_openvino_yum>`
|
||||
* :doc:`Install OpenVINO Runtime using Conda Forge <openvino_docs_install_guides_installing_openvino_conda>`
|
||||
* :doc:`Install OpenVINO Runtime using HomeBrew <openvino_docs_install_guides_installing_openvino_brew>`
|
||||
* :doc:`Install OpenVINO Runtime using Homebrew <openvino_docs_install_guides_installing_openvino_brew>`
|
||||
* :doc:`Install OpenVINO using Docker <openvino_docs_install_guides_installing_openvino_docker_linux>`
|
||||
|
||||
For a full selection of distribution channels, see the
|
||||
|
|
|
|||
|
|
@ -6,7 +6,7 @@ Currently only the following ways are provided to install OpenVINO™:
|
|||
* [Install OpenVINO Runtime from APT](@ref openvino_docs_install_guides_installing_openvino_apt)
|
||||
* [Install OpenVINO Runtime from YUM](@ref openvino_docs_install_guides_installing_openvino_yum)
|
||||
* [Install OpenVINO from PyPI](installing-openvino-pip.md)
|
||||
* [Install OpenVINO Runtime via HomeBrew](installing-openvino-brew.md)
|
||||
* [Install OpenVINO Runtime via Homebrew](installing-openvino-brew.md)
|
||||
* [Install OpenVINO with Docker](installing-openvino-docker-linux.md)
|
||||
* [Build From Source](https://github.com/openvinotoolkit/openvino/wiki/BuildingCode)
|
||||
|
||||
|
|
|
|||
|
|
@ -8,14 +8,14 @@
|
|||
|
||||
From Archive <openvino_docs_install_guides_installing_openvino_from_archive_macos>
|
||||
From PyPI <openvino_docs_install_guides_installing_openvino_pip>
|
||||
Using HomeBrew <openvino_docs_install_guides_installing_openvino_brew>
|
||||
Using Homebrew <openvino_docs_install_guides_installing_openvino_brew>
|
||||
|
||||
@endsphinxdirective
|
||||
|
||||
If you want to install OpenVINO™ Runtime on macOS, there are a few ways to accomplish this. We prepared following options for you:
|
||||
|
||||
* [Install OpenVINO Runtime from an Archive File](installing-openvino-from-archive-macos.md)
|
||||
* [Install OpenVINO Runtime via HomeBrew](installing-openvino-brew.md)
|
||||
* [Install OpenVINO Runtime via Homebrew](installing-openvino-brew.md)
|
||||
* [Install OpenVINO from PyPI](installing-openvino-pip.md)
|
||||
|
||||
For a full selection of distribution channels, see the [OpenVINO Installation Selector Tool](https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/download.html)
|
||||
|
|
|
|||
|
|
@ -3,7 +3,7 @@
|
|||
Currently only the following ways are provided to install OpenVINO™ on macOS:
|
||||
|
||||
* [Install OpenVINO Runtime using an Archive File](installing-openvino-from-archive-macos.md)
|
||||
* [Install OpenVINO Runtime using HomeBrew](installing-openvino-brew.md)
|
||||
* [Install OpenVINO Runtime using Homebrew](installing-openvino-brew.md)
|
||||
* [Install OpenVINO using PyPI](installing-openvino-pip.md)
|
||||
* [Build From Source](https://github.com/openvinotoolkit/openvino/wiki/BuildingCode)
|
||||
|
||||
|
|
|
|||
|
|
@ -2,7 +2,9 @@
|
|||
|
||||
@sphinxdirective
|
||||
|
||||
With the OpenVINO™ 2022.3 release, you can install OpenVINO Runtime on Linux using the YUM repository. OpenVINO™ Development Tools can be installed via PyPI only. See :ref:`Installing Additional Components <intall additional components yum>` for more information.
|
||||
With the OpenVINO™ 2022.3 release, you can install OpenVINO Runtime on Linux using the YUM repository.
|
||||
OpenVINO™ Development Tools can be installed via PyPI only. See
|
||||
`Installing Additional Components <#step-3-optional-install-additional-components>`__ for more information.
|
||||
|
||||
See the `Release Notes <https://www.intel.com/content/www/us/en/developer/articles/release-notes/openvino-2022-3-lts-relnotes.html>`_ for more information on updates in the latest release.
|
||||
|
||||
|
|
@ -39,15 +41,18 @@ Installing OpenVINO Runtime from YUM is recommended for C++ developers. If you a
|
|||
* GCC 8.2.0
|
||||
* `Python 3.7 - 3.10, 64-bit <https://www.python.org/downloads/>`_
|
||||
|
||||
@endsphinxdirective
|
||||
|
||||
## Install OpenVINO Runtime
|
||||
|
||||
### Step 1: Set Up the Repository
|
||||
|
||||
@sphinxdirective
|
||||
|
||||
1. Create a YUM repository file (`openvino-2022.repo`) in the `/tmp` directory as a normal user:
|
||||
Install OpenVINO Runtime
|
||||
########################
|
||||
|
||||
Step 1: Set Up the Repository
|
||||
+++++++++++++++++++++++++++++
|
||||
|
||||
|
||||
1. Create a YUM repository file (``openvino-2022.repo``) in the ``/tmp`` directory as a normal user:
|
||||
|
||||
.. code-block:: sh
|
||||
|
||||
|
|
@ -61,7 +66,7 @@ Installing OpenVINO Runtime from YUM is recommended for C++ developers. If you a
|
|||
gpgkey=https://yum.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
|
||||
EOF
|
||||
|
||||
2. Move the new `openvino-2022.repo` file to the YUM configuration directory, i.e. `/etc/yum.repos.d`:
|
||||
2. Move the new ``openvino-2022.repo`` file to the YUM configuration directory, i.e. ``/etc/yum.repos.d``:
|
||||
|
||||
.. code-block:: sh
|
||||
|
||||
|
|
@ -82,13 +87,12 @@ To list available OpenVINO packages, use the following command:
|
|||
|
||||
yum list 'openvino*'
|
||||
|
||||
@endsphinxdirective
|
||||
|
||||
### Step 2: Install OpenVINO Runtime Using the YUM Package Manager
|
||||
Step 2: Install OpenVINO Runtime Using the YUM Package Manager
|
||||
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
|
||||
|
||||
#### Install OpenVINO Runtime
|
||||
|
||||
@sphinxdirective
|
||||
Install OpenVINO Runtime
|
||||
-------------------------
|
||||
|
||||
.. tab:: The Latest Version
|
||||
|
||||
|
|
@ -112,11 +116,9 @@ To list available OpenVINO packages, use the following command:
|
|||
|
||||
sudo yum install openvino-2022.3.0
|
||||
|
||||
@endsphinxdirective
|
||||
|
||||
#### Check for Installed Packages and Version
|
||||
|
||||
@sphinxdirective
|
||||
Check for Installed Packages and Version
|
||||
-----------------------------------------
|
||||
|
||||
Run the following command:
|
||||
|
||||
|
|
@ -126,25 +128,24 @@ Run the following command:
|
|||
|
||||
.. _intall additional components yum:
|
||||
|
||||
@endsphinxdirective
|
||||
|
||||
### Step 3 (Optional): Install Additional Components
|
||||
|
||||
@sphinxdirective
|
||||
|
||||
Step 3 (Optional): Install Additional Components
|
||||
+++++++++++++++++++++++++++++++++++++++++++++++++
|
||||
|
||||
OpenVINO Development Tools is a set of utilities for working with OpenVINO and OpenVINO models. It provides tools like Model Optimizer, Benchmark Tool, Post-Training Optimization Tool, and Open Model Zoo Downloader. If you installed OpenVINO Runtime using YUM, OpenVINO Development Tools must be installed separately.
|
||||
|
||||
See **For C++ Developers** section on the :doc:`Install OpenVINO Development Tools <openvino_docs_install_guides_install_dev_tools>` page for instructions.
|
||||
|
||||
@endsphinxdirective
|
||||
|
||||
### Step 4 (Optional): Configure Inference on Non-CPU Devices
|
||||
Step 4 (Optional): Configure Inference on Non-CPU Devices
|
||||
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
|
||||
|
||||
To enable the toolkit components to use processor graphics (GPU) on your system, follow the steps in [GPU Setup Guide](@ref openvino_docs_install_guides_configurations_for_intel_gpu).
|
||||
|
||||
### Step 5: Build Samples
|
||||
|
||||
@sphinxdirective
|
||||
Step 5: Build Samples
|
||||
++++++++++++++++++++++
|
||||
|
||||
To build the C++ or C sample applications for Linux, run the `build_samples.sh` script:
|
||||
|
||||
|
|
@ -160,13 +161,12 @@ To build the C++ or C sample applications for Linux, run the `build_samples.sh`
|
|||
|
||||
/usr/share/openvino/samples/c/build_samples.sh
|
||||
|
||||
@endsphinxdirective
|
||||
|
||||
For more information, refer to <a href="openvino_docs_OV_UG_Samples_Overview.html#build-samples-linux">Build the Sample Applications on Linux</a>.
|
||||
For more information, refer to :doc:`Build the Sample Applications on Linux <openvino_docs_OV_UG_Samples_Overview>`.
|
||||
|
||||
### Uninstalling OpenVINO Runtime
|
||||
Uninstalling OpenVINO Runtime
|
||||
##############################
|
||||
|
||||
@sphinxdirective
|
||||
|
||||
To uninstall OpenVINO Runtime via YUM, run the following command based on your needs:
|
||||
|
||||
|
|
@ -189,11 +189,10 @@ To uninstall OpenVINO Runtime via YUM, run the following command based on your n
|
|||
|
||||
sudo yum autoremove openvino-2022.3.0
|
||||
|
||||
@endsphinxdirective
|
||||
|
||||
## What's Next?
|
||||
What's Next?
|
||||
#############
|
||||
|
||||
@sphinxdirective
|
||||
|
||||
Now that you've installed OpenVINO Runtime, you're ready to run your own machine learning applications! Learn more about how to integrate a model in OpenVINO applications by trying out the following tutorials:
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue