User Installation (for Non-Developers)
======================================

This guide provides step-by-step instructions for installing the ``itwinai`` library for
users. 

Requirements: Linux or macOS environment. Windows is not supported. 

.. include:: ./creating_venv.rst


Installing the ``itwinai`` Library
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
You can choose if you want to install ``itwinai`` with support for either PyTorch or
TensorFlow by using extras:

.. tab-set:: 

    .. tab-item:: PyTorch

        To install ``itwinai`` with PyTorch without GPU acceleration, you can use the
        following command:

        .. code-block:: bash
            
            pip install "itwinai[torch]"

        To enable GPU acceleration, you can use the following command:

        .. code-block:: bash

            pip install ".[torch]" \
                --extra-index-url https://download.pytorch.org/whl/cu121


    .. tab-item:: TensorFlow

        To install ``itwinai`` with TensorFlow without GPU acceleration, you can use the
        following command:

        .. code-block:: bash
            
            pip install "itwinai[tf]"

        To enable GPU acceleration, you can use the following command:

        .. code-block:: bash

            pip install ".[tf-cuda]"


.. note:: 
    If you want to use the Prov4ML logger, you need to install it explicitly since it is only
    available on GitHub:

    For systems with Nvidia GPUs:

    .. code-block:: bash

       pip install "prov4ml[nvidia]@git+https://github.com/matbun/ProvML@new-main"

    For macOS:

    .. code-block:: bash

       pip install "prov4ml[apple]@git+https://github.com/matbun/ProvML@new-main"

.. The explanation for installing horovod and DS is the same for developers and users
.. include:: ./horovod_deepspeed_installation.rst