Support and compatibility with official openSUSE repository (openvino…

…toolkit#24208) @ilya-lavrenov Thank you very much for your patience and support. It took a while to complete the official publication in the science repository of the openSUSE Tumbleweed distribution. The result is gratifying, as it was a lot of work to make Intel and openSUSE technical policies compatible (it took 3 months of work). Evidence: Upcoming tasks - Add 15.4. 15.5 and 15.6 (This will be faster) - Add to default repository in progress. https://build.opensuse.org/request/show/1168442 https://software.opensuse.org/package/openvino https://software.opensuse.org/download/package?package=openvino&project=science --------- Co-authored-by: Sebastian Golebiewski <sebastianx.golebiewski@intel.com>
alvoron · Apr 29, 2024 · 69e6c54 · 69e6c54
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diff --git a/docs/articles_en/get-started/install-openvino.rst b/docs/articles_en/get-started/install-openvino.rst
@@ -48,13 +48,13 @@ Install OpenVINO™ 2024.0
 
    .. dropdown:: Distribution Comparison for OpenVINO 2024.0
 
-      ===============  ==========  ======  =========  ========  ============ ========== ========== ==========
-       Device           Archives    PyPI    APT/YUM    Conda     Homebrew     vcpkg      Conan       npm
-      ===============  ==========  ======  =========  ========  ============ ========== ========== ==========
-       CPU              V           V        V         V          V           V          V          V
-       GPU              V           V        V         V          V           V          V          V
-       NPU              V\*         V\*      V\*       n/a        n/a         n/a        n/a        V\*
-      ===============  ==========  ======  =========  ========  ============ ========== ========== ==========
+      ===============  ==========  ======  ===============  ========  ============ ========== ========== ==========
+       Device           Archives    PyPI    APT/YUM/ZYPPER    Conda     Homebrew     vcpkg      Conan       npm
+      ===============  ==========  ======  ===============  ========  ============ ========== ========== ==========
+       CPU              V           V       V                V         V            V          V          V
+       GPU              V           V       V                V         V            V          V          V
+       NPU              V\*         V\*     V\ *             n/a       n/a          n/a        n/a        V\*
+      ===============  ==========  ======  ===============  ========  ============ ========== ========== ==========
 
       | \* **Of the Linux systems, only Ubuntu 22.04 includes drivers for NPU device.**
       |  **For Windows, CPU inference on ARM64 is not supported.**

diff --git a/docs/articles_en/get-started/install-openvino/install-openvino-linux.rst b/docs/articles_en/get-started/install-openvino/install-openvino-linux.rst
@@ -18,6 +18,7 @@ Install OpenVINO™ Runtime on Linux
    Use PyPI <install-openvino-pip>
    Use APT <install-openvino-apt>
    Use YUM <install-openvino-yum>
+   Use ZYPPER <install-openvino-zypper>
    Use Conda Forge <install-openvino-conda>
    Use vcpkg <install-openvino-vcpkg>
    Use Homebrew <install-openvino-brew>

diff --git a/docs/articles_en/get-started/install-openvino/install-openvino-zypper.rst b/docs/articles_en/get-started/install-openvino/install-openvino-zypper.rst
@@ -0,0 +1,187 @@
+.. {#openvino_docs_install_guides_installing_openvino_zypper}
+
+Install OpenVINO™ Runtime on Linux From ZYPPER Repository
+=========================================================
+
+
+.. meta::
+   :description: Learn how to install OpenVINO™ Runtime on Linux operating
+                 system, using the ZYPPER repository.
+
+.. note::
+
+   Note that the ZYPPER distribution:
+
+   * offers both C/C++ APIs
+   * does not offer support for NPU inference
+   * is dedicated to Linux users only
+   * additionally includes code samples
+
+.. tab-set::
+
+   .. tab-item:: System Requirements
+      :sync: system-requirements
+
+      | Full requirement listing is available in:
+      | :doc:`System Requirements Page <../../../about-openvino/release-notes-openvino/system-requirements>`
+
+      .. note::
+
+         OpenVINO RPM packages are compatible with and can be run on the following operating systems:
+
+         - openSUSE Tumbleweed
+
+   .. tab-item:: Processor Notes
+      :sync: processor-notes
+
+      | To see if your processor includes the integrated graphics technology and supports iGPU inference, refer to:
+      | `Product Specifications <https://ark.intel.com/>`__
+
+   .. tab-item:: Software
+      :sync: software
+
+      * `CMake 3.13 or higher, 64-bit <https://cmake.org/download/>`_
+      * GCC 8.2.0
+      * `Python 3.8 - 3.11, 64-bit <https://www.python.org/downloads/>`_
+
+
+Install OpenVINO Runtime
+########################
+
+Step 1: Set Up the Repository
++++++++++++++++++++++++++++++
+
+
+1. Create a ZYPPER repository file with the command below:
+
+   .. code-block:: sh
+
+      sudo zypper addrepo https://download.opensuse.org/repositories/science/openSUSE_Tumbleweed/science.repo
+      sudo zypper refresh
+
+2. Verify that the new repository is set up properly.
+
+   .. code-block:: sh
+
+      zypper lr |grep -i science
+
+   You will see the available list of packages.
+
+To list available OpenVINO packages, use the following command:
+
+.. code-block:: sh
+
+   zypper se openvino
+
+Step 2: Install OpenVINO Runtime Using the ZYPPER Package Manager
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+
+Install OpenVINO Runtime
+-------------------------
+
+Run the following command:
+
+.. code-block:: sh
+
+   sudo zypper install openvino-devel openvino-sample
+
+Check for Installed Packages and Version
+-----------------------------------------
+
+
+Run the following command:
+
+.. code-block:: sh
+
+   zypper se -i openvino
+
+.. note::
+   You can additionally install Python API using one of the alternative methods (:doc:`conda <install-openvino-conda>` or :doc:`pip <install-openvino-pip>`).
+
+Congratulations! You've just Installed OpenVINO! For some use cases you may still
+need to install additional components. Check the
+:doc:`list of additional configurations <../configurations>`
+to see if your case needs any of them.
+
+With the ZYPPER distribution, you can build OpenVINO sample files, as explained in the
+:doc:`guide for OpenVINO sample applications <../../../learn-openvino/openvino-samples>`.
+For C++ and C, just run the ``build_samples.sh`` script:
+
+.. tab-set::
+
+   .. tab-item:: C++
+      :sync: cpp
+
+      .. code-block:: sh
+
+         /usr/share/openvino/samples/cpp/build_samples.sh
+
+   .. tab-item:: C
+      :sync: c
+
+      .. code-block:: sh
+
+         /usr/share/openvino/samples/c/build_samples.sh
+
+
+
+Uninstalling OpenVINO Runtime
+##############################
+
+To uninstall OpenVINO Runtime via ZYPPER, run the following command based on your needs:
+
+.. tab-set::
+
+   .. tab-item:: The Latest Version
+      :sync: latest-version
+
+      .. code-block:: sh
+
+         sudo zypper remove *openvino*
+
+
+   .. tab-item:: A Specific Version
+      :sync: specific-version
+
+      .. code-block:: sh
+
+         sudo zypper remove *openvino-<VERSION>.<UPDATE>.<PATCH>*
+
+      For example:
+
+      .. code-block:: sh
+
+         sudo zypper remove *openvino-2024.0.0*
+
+
+
+
+What's Next?
+#############
+
+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:
+
+* Try the :doc:`C++ Quick Start Example <../../../learn-openvino/openvino-samples/get-started-demos>`
+  for step-by-step instructions on building and running a basic image classification C++ application.
+
+  .. image:: https://user-images.githubusercontent.com/36741649/127170593-86976dc3-e5e4-40be-b0a6-206379cd7df5.jpg
+     :width: 400
+
+* Visit the :ref:`Samples <code samples>` page for other C++ example applications to get you started with OpenVINO, such as:
+
+  * :doc:`Basic object detection with the Hello Reshape SSD C++ sample <../../../learn-openvino/openvino-samples/hello-reshape-ssd>`
+  * :doc:`Object classification sample <../../../learn-openvino/openvino-samples/hello-classification>`
+
+You can also try the following things:
+
+* Learn more about :doc:`OpenVINO Workflow <../../../openvino-workflow>`.
+* To prepare your models for working with OpenVINO, see :doc:`Model Preparation <../../../openvino-workflow/model-preparation>`.
+* See pre-trained deep learning models in our :doc:`Open Model Zoo <../../../documentation/legacy-features/model-zoo>`.
+* Learn more about :doc:`Inference with OpenVINO Runtime <../../../openvino-workflow/running-inference>`.
+* See sample applications in :doc:`OpenVINO toolkit Samples Overview <../../../learn-openvino/openvino-samples>`.
+* Take a glance at the OpenVINO `product home page <https://software.intel.com/en-us/openvino-toolkit>`__ .
+
+
+
+