##################
Installation guide
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.. role:: bash(code)
   :language: bash

************
Requirements
************

 * **Python** 3.6 or higher
 * **ONNX**
 * **ONNX Runtime** compiled with TensorRT and OpenVINO

.. contents:: Table of contents
    :local:

************
Installation
************

1. Install onnxruntime-gpu package
==================================

Install **ONNX Runtime** compiled with TensorRT and OpenVINO execution providers.
This package can be installed from **ENOT** GitHub
`repository <https://github.com/ENOT-AutoDL/ONNX-Runtime-with-TensorRT-and-OpenVINO>`_ by using the following command:
::

    wget -O - https://raw.githubusercontent.com/ENOT-AutoDL/ONNX-Runtime-with-TensorRT-and-OpenVINO/master/install.sh | bash

.. note::
   Ignore messages about missing ``openvino-dev`` package dependencies.

There are two types of builds: ``GPU`` and ``CPU``, if your target device has only ``CPU``, then you should use ``CPU`` version:
::

    wget -O - https://raw.githubusercontent.com/ENOT-AutoDL/ONNX-Runtime-with-TensorRT-and-OpenVINO/master/install.sh | bash -s -- -t CPU


2. Install ENOT Lite framework
==============================

Install **ENOT Lite** framework from PyPI:
::

    pip install enot-lite


3. License set up
=================
Create ``hasp_26970.ini`` file in ``$HOME/.hasplm`` folder with the following content:
::

    broadcastsearch = 0
    serveraddr = 212.20.47.88
    disable_IPv6 = 0

This can be done by using the following commands:
::

    mkdir -p $HOME/.hasplm
    echo -e 'broadcastsearch = 0\nserveraddr = 212.20.47.88\ndisable_IPv6 = 0' > $HOME/.hasplm/hasp_26970.ini


Now everything is ready for :ref:`using ENOT Lite <Backend>`.