[DOCS] conan fix (#20216)
This commit is contained in:
Karol Blaszczak
GitHub
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dc505e0bef
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@ -47,14 +47,14 @@
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.. dropdown:: Distribution Comparison for OpenVINO 2023.1
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=============== ========== ====== ========= ======== ============ ==========
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Device Archives PyPI APT/YUM Conda Homebrew vcpkg
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=============== ========== ====== ========= ======== ============ ==========
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CPU V V V V V V
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GPU V V V V V V
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GNA V n/a n/a n/a n/a n/a
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NPU V n/a n/a n/a n/a n/a
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=============== ========== ====== ========= ======== ============ ==========
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=============== ========== ====== ========= ======== ============ ========== ==========
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Device Archives PyPI APT/YUM Conda Homebrew vcpkg Conan
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=============== ========== ====== ========= ======== ============ ========== ==========
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CPU V V V V V V V
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GPU V V V V V V V
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GNA V n/a n/a n/a n/a n/a n/a
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NPU V n/a n/a n/a n/a n/a n/a
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=============== ========== ====== ========= ======== ============ ========== ==========
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| **Build OpenVINO from source**
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| OpenVINO Toolkit source files are available on GitHub as open source. If you want to build your own version of OpenVINO for your platform,
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@ -19,8 +19,8 @@
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Use Conda Forge <openvino_docs_install_guides_installing_openvino_conda>
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Use vcpkg <openvino_docs_install_guides_installing_openvino_vcpkg>
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Use Homebrew <openvino_docs_install_guides_installing_openvino_brew>
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Use Docker <openvino_docs_install_guides_installing_openvino_docker>
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Use Conan <openvino_docs_install_guides_installing_openvino_conan>
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Use Docker <openvino_docs_install_guides_installing_openvino_docker>
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If you want to install OpenVINO™ Runtime on Linux, you have the following options:
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@ -12,6 +12,7 @@
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* offers both C/C++ and Python APIs
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* does not offer support for GNA and NPU inference
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* is dedicated to Linux users only
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* additionally includes code samples
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@ -13,7 +13,7 @@
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* offers both C/C++ and Python APIs
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* additionally includes code samples
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* is dedicated to users of all major OSs: Windows, Linux, macOS and x86_64 / arm64 architectures
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* is dedicated to Linux users (archives for other systems are also available)
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* may offer different hardware support under different operating systems
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(see the drop-down below for more details).
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@ -12,6 +12,7 @@
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* offers C/C++ APIs only
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* does not offer support for GNA and NPU inference
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* is dedicated to Linux users only
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* additionally includes code samples
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.. tab-set::
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@ -13,7 +13,7 @@
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* offers both C/C++ and Python APIs
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* additionally includes code samples
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* is dedicated to users of all major OSs: Windows, Linux, macOS
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* is dedicated to macOS users (archives for other systems are also available)
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.. tab-set::
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@ -10,8 +10,10 @@
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Note that the Conan Package Manager distribution:
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* is dedicated to users of all major OSs: Windows, Linux, macOS
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* offers C/C++ API only
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* does not offer support for GNA and NPU inference
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* is dedicated to users of all major OSes: Windows, Linux, and macOS
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(all x86_64 / arm64 architectures)
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.. tab-set::
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@ -22,7 +24,6 @@
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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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.. tab-item:: Processor Notes
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:sync: processor-notes
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@ -38,9 +39,9 @@
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Installing OpenVINO Runtime with Conan Package Manager
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############################################################
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1. Install Conan 2.0 or higher:
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1. Install Conan 2.0.8 or higher:
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.. code-block::
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.. code-block:: console
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python3 -m pip install conan
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@ -58,23 +59,22 @@ Installing OpenVINO Runtime with Conan Package Manager
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Run the command below to create ``conan_toolchain.cmake`` file, which will be used to compile your project with OpenVINO:
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.. code-block::
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.. code-block:: console
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conan install conanfile.txt --build=missing
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.. note::
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By default, OpenVINO is statically compiled, together with all available
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plugins and frontends. To build a version tailored to your needs, check
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what options there are on the `Conan Package Manager page for OpenVINO <https://conan.io/center/recipes/openvino>`__
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and extend the command, like so:
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By default, OpenVINO is statically compiled. All available plugins and frontends are compiled as well. You can build a tailored OpenVINO by using the command below:
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.. code-block::
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.. code-block:: console
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conan install conanfile.txt --build=missing -o:h openvino/*:enable_intel_gpu=False -o:h openvino/*:enable_onnx_frontend=False' -o:h openvino/*:shared=True.
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For more details on available options, see the `Conan Package Manager page on OpenVINO <https://conan.io/center/recipes/openvino>`__
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3. Configure and compile your project with OpenVINO:
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.. code-block::
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.. code-block:: console
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cmake -DCMAKE_TOOLCHAIN_FILE=<path to conan_toolchain.cmake> -DCMAKE_BUILD_TYPE=Release -S <path to CMakeLists.txt of your project> -B <build dir>
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cmake --build <build dir> --parallel
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@ -86,11 +86,12 @@ Installing OpenVINO Runtime with Conan Package Manager
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Additional Resources
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########################
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* `Conan Package Manager <https://conan.io>`__
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* `Conan Package Manager <https://conan.io>`__.
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* Learn more about :doc:`OpenVINO Workflow <openvino_workflow>`.
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* To prepare your models for working with OpenVINO, see :doc:`Model Preparation <openvino_docs_model_processing_introduction>`.
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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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* Check out 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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@ -13,8 +13,8 @@
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* offers both C/C++ and Python APIs
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* does not offer support for GNA and NPU inference
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* is dedicated to users of all major OSs: Windows, Linux, macOS and x86_64 / arm64 architectures
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* is dedicated to users of all major OSes: Windows, Linux, and macOS
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(all x86_64 / arm64 architectures)
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.. tab-set::
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@ -6,7 +6,7 @@
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:description: Learn how to use a prebuilt Docker image or create an image
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manually to install OpenVINO™ Runtime on Linux and Windows operating systems.
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This guide presents infromation on how to use a pre-built Docker image/create an image manually to install OpenVINO™ Runtime.
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This guide presents information on how to use a pre-built Docker image/create an image manually to install OpenVINO™ Runtime.
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Supported host operating systems for the Docker Base image:
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@ -22,7 +22,13 @@ You can get started easily with pre-built and published docker images, which are
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* `Red Hat Ecosystem Catalog (development image) <https://catalog.redhat.com/software/containers/intel/openvino-dev/613a450dc9bc35f21dc4a1f7>`__
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* `Azure Marketplace <https://azuremarketplace.microsoft.com/en-us/marketplace/apps/intel_corporation.openvino>`__
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You can use the `available Dockerfiles on GitHub <https://github.com/openvinotoolkit/docker_ci/tree/master/dockerfiles>`__ or generate a Dockerfile with your settings via `DockerHub CI framework <https://github.com/openvinotoolkit/docker_ci/>`__ , which can generate a Dockerfile, build, test, and deploy an image using the Intel® Distribution of OpenVINO™ toolkit. You can reuse available Dockerfiles, add your layer and customize the OpenVINO™ image to your needs. Docker CI repository includes guides on how to how to `get started with docker images <https://github.com/openvinotoolkit/docker_ci/blob/master/get-started.md>`__ and how to use `OpenVINO™ Toolkit containers with GPU accelerators. <https://github.com/openvinotoolkit/docker_ci/blob/master/docs/accelerators.md>`__
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You can use the `available Dockerfiles on GitHub <https://github.com/openvinotoolkit/docker_ci/tree/master/dockerfiles>`__
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or generate a Dockerfile with your settings via `DockerHub CI framework <https://github.com/openvinotoolkit/docker_ci/>`__,
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which can generate a Dockerfile, build, test, and deploy an image using the Intel® Distribution of OpenVINO™ toolkit.
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You can reuse available Dockerfiles, add your layer and customize the OpenVINO™ image to your needs.
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The Docker CI repository includes guides on how to
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`get started with docker images <https://github.com/openvinotoolkit/docker_ci/blob/master/get-started.md>`__ and how to use
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`OpenVINO™ Toolkit containers with GPU accelerators. <https://github.com/openvinotoolkit/docker_ci/blob/master/docs/accelerators.md>`__
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To start using Dockerfiles the following conditions must be met:
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@ -32,13 +38,17 @@ To start using Dockerfiles the following conditions must be met:
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.. note::
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OpenVINO's `Docker <https://docs.docker.com/>`__ and :doc:`Bare Metal <openvino_docs_install_guides_overview>` distributions are identical, so the documentation applies to both.
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OpenVINO's `Docker <https://docs.docker.com/>`__ and :doc:`Bare Metal <openvino_docs_install_guides_overview>`
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distributions are identical, so the documentation applies to both.
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.. note::
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OpenVINO development environment in a docker container is also available in the `notebook repository <https://github.com/openvinotoolkit/openvino_notebooks>`__ . It can be implemented in `OpenShift RedHat OpenData Science (RHODS) <https://github.com/openvinotoolkit/operator/blob/main/docs/notebook_in_rhods.md>`__.
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OpenVINO development environment in a docker container is also available in the
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`notebook repository <https://github.com/openvinotoolkit/openvino_notebooks>`__. It can be implemented in
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`OpenShift RedHat OpenData Science (RHODS) <https://github.com/openvinotoolkit/operator/blob/main/docs/notebook_in_rhods.md>`__.
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More information about Docker CI for Intel® Distribution of OpenVINO™ toolset can be found `here <https://github.com/openvinotoolkit/docker_ci/blob/master/README.md>`__
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More information about Docker CI for Intel® Distribution of OpenVINO™ toolset can be found
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`here <https://github.com/openvinotoolkit/docker_ci/blob/master/README.md>`__
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* `Docker CI framework for Intel® Distribution of OpenVINO™ toolkit <https://github.com/openvinotoolkit/docker_ci/blob/master/README.md>`__
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* `Get Started with DockerHub CI for Intel® Distribution of OpenVINO™ toolkit <https://github.com/openvinotoolkit/docker_ci/blob/master/get-started.md>`__
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@ -13,7 +13,8 @@
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* offers the Python API only
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* does not offer support for GNA and NPU inference
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* is dedicated to users of all major OSs: Windows, Linux, macOS and x86_64 / arm64 architectures
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* is dedicated to users of all major OSes: Windows, Linux, and macOS
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(all x86_64 / arm64 architectures)
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.. tab-set::
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@ -12,7 +12,8 @@
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* offers C/C++ API only
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* does not offer support for GNA and NPU inference
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* is dedicated to users of all major OSs: Windows, Linux, macOS and x86_64 / arm64 architectures.
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* is dedicated to users of all major OSes: Windows, Linux, and macOS
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(all x86_64 / arm64 architectures)
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.. tab-set::
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@ -13,7 +13,7 @@
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* offers both C/C++ and Python APIs
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* additionally includes code samples
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* is dedicated to users of all major OSs: Windows, Linux, macOS
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* is dedicated to Windows users (archives for other systems are also available)
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System Requirements
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