[DOCS] Updating 'Prerequisites' section in Configurations for GNA article - for 22.3 (#16237)
* issue-15090 Add command for installation of prerequisites on Linux.
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.. note:: On platforms where Intel® GNA is not enabled in the BIOS, the driver cannot be installed, so the GNA plugin uses the software emulation mode only.
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.. note::
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On platforms where Intel® GNA is not enabled in the BIOS, the driver cannot be installed, so the GNA plugin uses the software emulation mode only.
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## Drivers and Dependencies
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Drivers and Dependencies
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########################
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Intel® GNA hardware requires a driver to be installed on the system.
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.. _gna guide:
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Linux
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####################
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Prerequisites
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++++++++++++++++++++
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Ensure that make, gcc, and Linux kernel headers are installed. Use the following command to install required software:
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.. code-block:: sh
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sudo apt-get install gcc make linux-headers-generic
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## Linux
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Configuration steps
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++++++++++++++++++++
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### Prerequisites
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Ensure that make, gcc, and Linux kernel headers are installed.
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### Configuration steps
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#. Download `Intel® GNA driver for Ubuntu Linux 18.04.3 LTS (with HWE Kernel version 5.4+) <https://storage.openvinotoolkit.org/drivers/gna/>`__
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#. Run the sample_install.sh script provided in the installation package:
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1. Download `Intel® GNA driver for Ubuntu Linux 18.04.3 LTS (with HWE Kernel version 5.4+) <https://storage.openvinotoolkit.org/drivers/gna/>`__
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2. Run the sample_install.sh script provided in the installation package:
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.. code-block:: sh
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@@ -54,28 +57,28 @@ To unload the driver:
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.. _gna guide windows:
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## Windows
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Windows
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####################
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Intel® GNA driver for Windows is available through Windows Update.
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## What’s Next?
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What’s Next?
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####################
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Now you are ready to try out OpenVINO™. You can use the following tutorials to write your applications using Python and C++.
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Developing in Python:
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* `Start with tensorflow models with OpenVINO™ <https://docs.openvino.ai/nightly/notebooks/101-tensorflow-to-openvino-with-output.html>`_
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* `Start with ONNX and PyTorch models with OpenVINO™ <https://docs.openvino.ai/nightly/notebooks/102-pytorch-onnx-to-openvino-with-output.html>`_
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* `Start with PaddlePaddle models with OpenVINO™ <https://docs.openvino.ai/nightly/notebooks/103-paddle-onnx-to-openvino-classification-with-output.html>`_
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* `Start with tensorflow models with OpenVINO™ <https://docs.openvino.ai/2022.3/notebooks/101-tensorflow-to-openvino-with-output.html>`_
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* `Start with ONNX and PyTorch models with OpenVINO™ <https://docs.openvino.ai/2022.3/notebooks/102-pytorch-onnx-to-openvino-with-output.html>`_
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* `Start with PaddlePaddle models with OpenVINO™ <https://docs.openvino.ai/2022.3/notebooks/103-paddle-onnx-to-openvino-classification-with-output.html>`_
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Developing in C++:
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* :doc:`Image Classification Async C++ Sample <openvino_inference_engine_samples_classification_sample_async_README>`
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* :doc:`Hello Classification C++ Sample <openvino_inference_engine_samples_hello_classification_README>`
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* :doc:`Hello Reshape SSD C++ Sample <openvino_inference_engine_samples_hello_reshape_ssd_README>`
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* :doc:`Image Classification Async C++ Sample <openvino_inference_engine_samples_classification_sample_async_README>`
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* :doc:`Hello Classification C++ Sample <openvino_inference_engine_samples_hello_classification_README>`
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* :doc:`Hello Reshape SSD C++ Sample <openvino_inference_engine_samples_hello_reshape_ssd_README>`
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