[DOCS] updated archives for 2023.1 (#19896)

This commit is contained in:
Ilya Lavrenov
2023-09-18 12:04:09 +04:00
committed by GitHub
parent 2d97a5d59c
commit 016340fcff
14 changed files with 99 additions and 90 deletions

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@@ -27,6 +27,7 @@ More resources:
* :doc:`Documentation <tmo_introduction>`
* `GitHub <https://github.com/openvinotoolkit/nncf>`__
* `PyPI <https://pypi.org/project/nncf/>`__
* `Conda Forge <https://anaconda.org/conda-forge/nncf/>`__
**OpenVINO™ Training Extensions**

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@@ -137,6 +137,7 @@ OpenVINO Runtime uses frontend libraries dynamically to read models in different
- ``openvino_tensorflow_lite_frontend`` is used to read the TensorFlow Lite file format.
- ``openvino_onnx_frontend`` is used to read the ONNX file format.
- ``openvino_paddle_frontend`` is used to read the Paddle file format.
- ``openvino_pytorch_frontend`` is used to convert PyTorch model via ``openvino.convert_model`` API.
Depending on the model format types that are used in the application in `ov::Core::read_model <classov_1_1Core.html#doxid-classov-1-1-core-1ae0576a95f841c3a6f5e46e4802716981>`__, select the appropriate libraries.

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@@ -58,7 +58,7 @@ To install OpenVINO Development Tools, follow the :doc:`instructions for C++ dev
Build Samples
+++++++++++++
To build OpenVINO samples, follow the build instructions for your operating system on the :doc:`OpenVINO Samples <openvino_docs_OV_UG_Samples_Overview>` page. The build will take about 5-10 minutes, depending on your system.
To build OpenVINO samples, follow the build instructions for your operating system on the :doc:`OpenVINO Samples <openvino_docs_OV_UG_Samples_Overview>` page. The build will take about 1-2 minutes, depending on your system.
.. _download-models:

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@@ -149,7 +149,7 @@ For example, to install and configure dependencies required for working with Ten
Model conversion API support for TensorFlow 1.x environment has been deprecated. Use the ``tensorflow2`` parameter to install a TensorFlow 2.x environment that can convert both TensorFlow 1.x and 2.x models. If your model isn't compatible with the TensorFlow 2.x environment, use the `tensorflow` parameter to install the TensorFlow 1.x environment. The TF 1.x environment is provided only for legacy compatibility reasons.
For more details on the openvino-dev PyPI package, see `pypi.org <https://pypi.org/project/openvino-dev/2023.0.1>`__ .
For more details on the openvino-dev PyPI package, see `pypi.org <https://pypi.org/project/openvino-dev/2023.1.0>`__ .
Step 5. Test the Installation
+++++++++++++++++++++++++++++

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@@ -13,7 +13,6 @@
* offers both C/C++ and Python APIs
* does not offer support for GNA and NPU inference
* additionally includes code samples
* is dedicated to Linux users.
.. tab-set::
@@ -146,7 +145,7 @@ Step 2: Install OpenVINO Runtime Using the APT Package Manager
.. code-block:: sh
sudo apt install openvino-2023.0.0
sudo apt install openvino-2023.1.0
.. note::
@@ -188,6 +187,11 @@ For C++ and C, just run the ``build_samples.sh`` script:
/usr/share/openvino/samples/c/build_samples.sh
Python samples can run as following:
.. code-block:: sh
python3 /usr/share/openvino/samples/python/hello_query_device/hello_query_device.py
Uninstalling OpenVINO Runtime
#######################################
@@ -214,7 +218,7 @@ To uninstall OpenVINO Runtime via APT, run the following command based on your n
.. code-block:: sh
sudo apt autoremove openvino-2023.0.0
sudo apt autoremove openvino-2023.1.0
What's Next?

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@@ -12,7 +12,7 @@
* offers both C/C++ and Python APIs
* does not offer support for GNA and NPU inference
* is dedicated to macOS and Linux users.
* is dedicated to macOS (both arm64 and x86_64) and Linux (x86_64 only) users.
.. tab-set::

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@@ -13,7 +13,7 @@
* offers both C/C++ and Python APIs
* does not offer support for GNA and NPU inference
* is dedicated to users of all major OSs: Windows, Linux, macOS.
* is dedicated to users of all major OSs: Windows, Linux, macOS and x86_64 / arm64 architectures
.. tab-set::
@@ -62,7 +62,7 @@ Installing OpenVINO Runtime with Anaconda Package Manager
.. code-block:: sh
conda install -c conda-forge openvino=2023.0.1
conda install -c conda-forge openvino=2023.1.0
Congratulations! You've just Installed OpenVINO! For some use cases you may still
need to install additional components. Check the description below, as well as the
@@ -100,7 +100,7 @@ with the proper OpenVINO version number:
.. code-block:: sh
conda remove openvino=2023.0.1
conda remove openvino=2023.1.0
What's Next?

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@@ -12,8 +12,8 @@
Note that the Archive distribution:
* offers both C/C++ and Python APIs
* additionally includes code samples
* is dedicated to users of all major OSs: Windows, Linux, macOS
* additionally includes code samples
* is dedicated to users of all major OSs: Windows, Linux, macOS and x86_64 / arm64 architectures
* may offer different hardware support under different operating systems
(see the drop-down below for more details).
@@ -119,7 +119,7 @@ Step 1: Download and Install the OpenVINO Core Components
cd <user_home>/Downloads
4. Download the `OpenVINO Runtime archive file for your system <https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.0.1/linux/>`_, extract the files, rename the extracted folder and move it to the desired path:
4. Download the `OpenVINO Runtime archive file for your system <https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.1.0/linux/>`_, extract the files, rename the extracted folder and move it to the desired path:
.. tab-set::
@@ -132,71 +132,71 @@ Step 1: Download and Install the OpenVINO Core Components
:sync: ubuntu-22
.. code-block:: sh
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.0.1/linux/l_openvino_toolkit_ubuntu22_2023.0.1.11005.fa1c41994f3_x86_64.tgz --output openvino_2023.0.1.tgz
tar -xf openvino_2023.0.1.tgz
sudo mv l_openvino_toolkit_ubuntu22_2023.0.1.11005.fa1c41994f3_x86_64 /opt/intel/openvino_2023.0.1
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.1.0/linux/l_openvino_toolkit_ubuntu22_2023.1.0.12185.47b736f63ed_x86_64.tgz --output openvino_2023.1.0.tgz
tar -xf openvino_2023.1.0.tgz
sudo mv l_openvino_toolkit_ubuntu22_2023.1.0.12185.47b736f63ed_x86_64 /opt/intel/openvino_2023.1.0
.. tab-item:: Ubuntu 20.04
:sync: ubuntu-20
.. code-block:: sh
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.0.1/linux/l_openvino_toolkit_ubuntu20_2023.0.1.11005.fa1c41994f3_x86_64.tgz --output openvino_2023.0.1.tgz
tar -xf openvino_2023.0.1.tgz
sudo mv l_openvino_toolkit_ubuntu20_2023.0.1.11005.fa1c41994f3_x86_64 /opt/intel/openvino_2023.0.1
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.1.0/linux/l_openvino_toolkit_ubuntu20_2023.1.0.12185.47b736f63ed_x86_64.tgz --output openvino_2023.1.0.tgz
tar -xf openvino_2023.1.0.tgz
sudo mv l_openvino_toolkit_ubuntu20_2023.1.0.12185.47b736f63ed_x86_64 /opt/intel/openvino_2023.1.0
.. tab-item:: Ubuntu 18.04
:sync: ubuntu-18
.. code-block:: sh
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.0.1/linux/l_openvino_toolkit_ubuntu18_2023.0.1.11005.fa1c41994f3_x86_64.tgz --output openvino_2023.0.1.tgz
tar -xf openvino_2023.0.1.tgz
sudo mv l_openvino_toolkit_ubuntu18_2023.0.1.11005.fa1c41994f3_x86_64 /opt/intel/openvino_2023.0.1
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.1.0/linux/l_openvino_toolkit_ubuntu18_2023.1.0.12185.47b736f63ed_x86_64.tgz --output openvino_2023.1.0.tgz
tar -xf openvino_2023.1.0.tgz
sudo mv l_openvino_toolkit_ubuntu18_2023.1.0.12185.47b736f63ed_x86_64 /opt/intel/openvino_2023.1.0
.. tab-item:: RHEL 8
:sync: rhel-8
.. code-block:: sh
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.0.1/linux/l_openvino_toolkit_rhel8_2023.0.1.11005.fa1c41994f3_x86_64.tgz --output openvino_2023.0.1.tgz
tar -xf openvino_2023.0.1.tgz
sudo mv l_openvino_toolkit_rhel8_2023.0.1.11005.fa1c41994f3_x86_64 /opt/intel/openvino_2023.0.1
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.1.0/linux/l_openvino_toolkit_rhel8_2023.1.0.12185.47b736f63ed_x86_64.tgz --output openvino_2023.1.0.tgz
tar -xf openvino_2023.1.0.tgz
sudo mv l_openvino_toolkit_rhel8_2023.1.0.12185.47b736f63ed_x86_64 /opt/intel/openvino_2023.1.0
.. tab-item:: CentOS 7
:sync: centos-7
.. code-block:: sh
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.0.1/linux/l_openvino_toolkit_centos7_2023.0.1.11005.fa1c41994f3_x86_64.tgz --output openvino_2023.0.1.tgz
tar -xf openvino_2023.0.1.tgz
sudo mv l_openvino_toolkit_centos7_2023.0.1.11005.fa1c41994f3_x86_64 /opt/intel/openvino_2023.0.1
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.1.0/linux/l_openvino_toolkit_centos7_2023.1.0.12185.47b736f63ed_x86_64.tgz --output openvino_2023.1.0.tgz
tar -xf openvino_2023.1.0.tgz
sudo mv l_openvino_toolkit_centos7_2023.1.0.12185.47b736f63ed_x86_64 /opt/intel/openvino_2023.1.0
.. tab-item:: ARM 64-bit
:sync: arm-64
.. code-block:: sh
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.0.1/linux/l_openvino_toolkit_debian9_2023.0.1.11005.fa1c41994f3_arm64.tgz -O openvino_2023.0.1.tgz
tar -xf openvino_2023.0.1.tgz
sudo mv l_openvino_toolkit_debian9_2023.0.1.11005.fa1c41994f3_arm64 /opt/intel/openvino_2023.0.1
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.1.0/linux/l_openvino_toolkit_debian9_2023.1.0.12185.47b736f63ed_arm64.tgz -O openvino_2023.1.0.tgz
tar -xf openvino_2023.1.0.tgz
sudo mv l_openvino_toolkit_debian9_2023.1.0.12185.47b736f63ed_arm64 /opt/intel/openvino_2023.1.0
.. tab-item:: ARM 32-bit
:sync: arm-32
.. code-block:: sh
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.0.1/linux/l_openvino_toolkit_debian9_2023.0.1.11005.fa1c41994f3_armhf.tgz -O openvino_2023.0.1.tgz
tar -xf openvino_2023.0.1.tgz
sudo mv l_openvino_toolkit_debian9_2023.0.1.11005.fa1c41994f3_armhf /opt/intel/openvino_2023.0.1
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.1.0/linux/l_openvino_toolkit_debian9_2023.1.0.12185.47b736f63ed_armhf.tgz -O openvino_2023.1.0.tgz
tar -xf openvino_2023.1.0.tgz
sudo mv l_openvino_toolkit_debian9_2023.1.0.12185.47b736f63ed_armhf /opt/intel/openvino_2023.1.0
5. Install required system dependencies on Linux. To do this, OpenVINO provides a script in the extracted installation directory. Run the following command:
.. code-block:: sh
cd /opt/intel/openvino_2023.0.1
cd /opt/intel/openvino_2023.1.0
sudo -E ./install_dependencies/install_openvino_dependencies.sh
6. (Optional) Install *numpy* Python Library:
@@ -205,11 +205,11 @@ Step 1: Download and Install the OpenVINO Core Components
This step is required only when you decide to use Python API.
You can use the ``requirements.txt`` file from the ``/opt/intel/openvino_2023.0.1/python`` folder:
You can use the ``requirements.txt`` file from the ``/opt/intel/openvino_2023.1.0/python`` folder:
.. code-block:: sh
cd /opt/intel/openvino_2023.0.1
cd /opt/intel/openvino_2023.1.0
python3 -m pip install -r ./python/requirements.txt
7. For simplicity, it is useful to create a symbolic link as below:
@@ -217,8 +217,8 @@ Step 1: Download and Install the OpenVINO Core Components
.. code-block:: sh
cd /opt/intel
sudo ln -s openvino_2023.0.1 openvino_2023
sudo ln -s openvino_2023.1.0 openvino_2023
.. note::
If you have already installed a previous release of OpenVINO 2023, a symbolic link to the ``openvino_2023`` folder may already exist.
Unlink the previous link with ``sudo unlink openvino_2023``, and then re-run the command above.

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@@ -60,7 +60,7 @@ Step 1: Install OpenVINO Core Components
cd <user_home>/Downloads
4. Download the `OpenVINO Runtime archive file for macOS <https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.0.1/macos/>`__, extract the files, rename the extracted folder and move it to the desired path:
4. Download the `OpenVINO Runtime archive file for macOS <https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.1.0/macos/>`__, extract the files, rename the extracted folder and move it to the desired path:
.. tab-set::
@@ -69,18 +69,18 @@ Step 1: Install OpenVINO Core Components
.. code-block:: sh
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.0.1/macos/m_openvino_toolkit_macos_10_15_2023.0.1.11005.fa1c41994f3_x86_64.tgz --output openvino_2023.0.1.tgz
tar -xf openvino_2023.0.1.tgz
sudo mv m_openvino_toolkit_macos_10_15_2023.0.1.11005.fa1c41994f3_x86_64 /opt/intel/openvino_2023.0.1
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.1.0/macos/m_openvino_toolkit_macos_10_15_2023.1.0.12185.47b736f63ed_x86_64.tgz --output openvino_2023.1.0.tgz
tar -xf openvino_2023.1.0.tgz
sudo mv m_openvino_toolkit_macos_10_15_2023.1.0.12185.47b736f63ed_x86_64 /opt/intel/openvino_2023.1.0
.. tab-item:: ARM, 64-bit
:sync: arm-64
.. code-block:: sh
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.0.1/macos/m_openvino_toolkit_macos_11_0_2023.0.1.11005.fa1c41994f3_arm64.tgz --output openvino_2023.0.1.tgz
tar -xf openvino_2023.0.1.tgz
sudo mv m_openvino_toolkit_macos_11_0_2023.0.1.11005.fa1c41994f3_arm64 /opt/intel/openvino_2023.0.1
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.1.0/macos/m_openvino_toolkit_macos_11_0_2023.1.0.12185.47b736f63ed_arm64.tgz --output openvino_2023.1.0.tgz
tar -xf openvino_2023.1.0.tgz
sudo mv m_openvino_toolkit_macos_11_0_2023.1.0.12185.47b736f63ed_arm64 /opt/intel/openvino_2023.1.0
5. (Optional) Install *numpy* Python Library:
@@ -88,18 +88,18 @@ Step 1: Install OpenVINO Core Components
This step is required only when you decide to use Python API.
You can use the ``requirements.txt`` file from the ``/opt/intel/openvino_2023.0.1/python`` folder:
You can use the ``requirements.txt`` file from the ``/opt/intel/openvino_2023.1.0/python`` folder:
.. code-block:: sh
cd /opt/intel/openvino_2023.0.1
cd /opt/intel/openvino_2023.1.0
python3 -m pip install -r ./python/requirements.txt
6. For simplicity, it is useful to create a symbolic link as below:
.. code-block:: sh
sudo ln -s /opt/intel/openvino_2023.0.1 /opt/intel/openvino_2023
sudo ln -s /opt/intel/openvino_2023.1.0 /opt/intel/openvino_2023
.. note::

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@@ -76,19 +76,19 @@ Step 1: Download and Install OpenVINO Core Components
``C:\Program Files (x86)\Intel`` is the recommended folder. You may also use a different path if desired or if you don't have administrator privileges on your computer.
2. Download the `OpenVINO Runtime archive file for Windows <https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.0.1/windows/>`__ to your local ``Downloads`` folder.
2. Download the `OpenVINO Runtime archive file for Windows <https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.1.0/windows/>`__ to your local ``Downloads`` folder.
If you prefer using command-lines, run the following commands in the command prompt window you opened:
.. code-block:: sh
cd <user_home>/Downloads
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.0.1/windows/w_openvino_toolkit_windows_2023.0.1.11005.fa1c41994f3_x86_64.zip --output openvino_2023.0.1.zip
curl -L https://storage.openvinotoolkit.org/repositories/openvino/packages/2023.1.0/windows/w_openvino_toolkit_windows_2023.1.0.12185.47b736f63ed_x86_64.zip --output openvino_2023.1.0.zip
.. note::
A ``.sha256`` file is provided together with the archive file to validate your download process. To do that, download the ``.sha256`` file from the same repository and run ``CertUtil -hashfile openvino_2023.0.1.zip SHA256``. Compare the returned value in the output with what's in the ``.sha256`` file: if the values are the same, you have downloaded the correct file successfully; if not, create a Support ticket `here <https://www.intel.com/content/www/us/en/support/contact-intel.html>`__.
A ``.sha256`` file is provided together with the archive file to validate your download process. To do that, download the ``.sha256`` file from the same repository and run ``CertUtil -hashfile openvino_2023.1.0.zip SHA256``. Compare the returned value in the output with what's in the ``.sha256`` file: if the values are the same, you have downloaded the correct file successfully; if not, create a Support ticket `here <https://www.intel.com/content/www/us/en/support/contact-intel.html>`__.
3. Use your favorite tool to extract the archive file, rename the extracted folder, and move it to the ``C:\Program Files (x86)\Intel`` directory.
@@ -97,9 +97,9 @@ Step 1: Download and Install OpenVINO Core Components
.. code-block:: sh
tar -xf openvino_2023.0.1.zip
ren w_openvino_toolkit_windows_2023.0.0.10926.b4452d56304_x86_64 openvino_2023.0.1
move openvino_2023.0.1 "C:\Program Files (x86)\Intel"
tar -xf openvino_2023.1.0.zip
ren w_openvino_toolkit_windows_2023.1.0.10926.b4452d56304_x86_64 openvino_2023.1.0
move openvino_2023.1.0 "C:\Program Files (x86)\Intel"
4. (Optional) Install *numpy* Python Library:
@@ -108,11 +108,11 @@ Step 1: Download and Install OpenVINO Core Components
This step is required only when you decide to use Python API.
You can use the ``requirements.txt`` file from the ``C:\Program Files (x86)\Intel\openvino_2023.0.1\python`` folder:
You can use the ``requirements.txt`` file from the ``C:\Program Files (x86)\Intel\openvino_2023.1.0\python`` folder:
.. code-block:: sh
cd "C:\Program Files (x86)\Intel\openvino_2023.0.1"
cd "C:\Program Files (x86)\Intel\openvino_2023.1.0"
python -m pip install -r .\python\requirements.txt
@@ -121,7 +121,7 @@ Step 1: Download and Install OpenVINO Core Components
.. code-block:: sh
cd C:\Program Files (x86)\Intel
mklink /D openvino_2023 openvino_2023.0.1
mklink /D openvino_2023 openvino_2023.1.0
.. note::

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@@ -13,7 +13,7 @@
* offers the Python API only
* does not offer support for GNA and NPU inference
* is dedicated to users of all major OSs: Windows, Linux, macOS
* is dedicated to users of all major OSs: Windows, Linux, macOS and x86_64 / arm64 architectures
.. tab-set::

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@@ -12,7 +12,7 @@
* offers C/C++ API only
* does not offer support for GNA and NPU inference
* is dedicated to users of all major OSs: Windows, Linux, macOS.
* is dedicated to users of all major OSs: Windows, Linux, macOS and x86_64 / arm64 architectures.
.. tab-set::
@@ -48,27 +48,35 @@ Installing OpenVINO Runtime
vcpkg install openvino
vcpkg also enables you to install only selected components, by specifying them in the command.
vcpkg also enables you to install only selected components, by specifying them in the command.
See the list of `available features <https://vcpkg.link/ports/openvino>`__, for example:
.. code-block:: sh
vcpkg install openvino[cpu,ir]
vcpkg install 'openvino[core,cpu,ir]'
vcpkg also provides a way to install OpenVINO for any specific configuration you want via `triplets <https://learn.microsoft.com/en-us/vcpkg/users/triplets>`, for example to install OpenVINO statically on Windows, use:
.. code-block:: sh
vcpkg install openvino:x64-windows-static
Note that the vcpkg installation means building all packages and dependencies from source,
which means the compiler stage will require additional time to complete the process.
After installation, you can use OpenVINO in your product by running:
After installation, you can use OpenVINO in your product's cmake scripts:
.. code-block:: sh
find_package(OpenVINO)
find_package(OpenVINO REQUIRED)
And running from terminal:
.. code-block:: sh
cmake -B [build directory] -S . -DCMAKE_TOOLCHAIN_FILE=[path to vcpkg]/scripts/buildsystems/vcpkg.cmake
Congratulations! You've just Installed OpenVINO! For some use cases you may still
cmake -B <build dir> -S <source dir> -DCMAKE_TOOLCHAIN_FILE=<path to vcpkg>/scripts/buildsystems/vcpkg.cmake
Congratulations! You've just Installed and used OpenVINO in your project! For some use cases you may still
need to install additional components. Check the
:doc:`list of additional configurations <openvino_docs_install_guides_configurations_header>`
to see if your case needs any of them.

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@@ -13,7 +13,6 @@
* offers C/C++ APIs only
* does not offer support for GNA and NPU inference
* additionally includes code samples
* is dedicated to Linux users.
.. tab-set::
@@ -115,7 +114,7 @@ Install OpenVINO Runtime
.. code-block:: sh
sudo yum install openvino-2023.0.0
sudo yum install openvino-2023.1.0
@@ -186,7 +185,7 @@ To uninstall OpenVINO Runtime via YUM, run the following command based on your n
.. code-block:: sh
sudo yum autoremove openvino-2023.0.0
sudo yum autoremove openvino-2023.1.0

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@@ -1,17 +1,13 @@
#include <fstream>
#include <openvino/runtime/core.hpp>
int main() {
//! [export_compiled_model]
ov::Core core;
std::stringstream stream;
ov::CompiledModel model = core.compile_model("modelPath", "deviceName");
std::fstream stream("compiled_model.blob");
model.export_model(stream);
//! [export_compiled_model]
return 0;