.. _install_others:


Other Platform-specific Installations
=====================================

.. warning::

    These instructions are not kept up to date.

NVIDIA Jetson TX1 embedded platform
-----------------------------------

.. code-block:: bash

    sudo apt-get install python-numpy python-scipy python-dev python-pip python-nose g++ libblas-dev git
    pip install --upgrade --no-deps git+git://github.com/Theano/Theano.git --user  # Need Theano 0.8 or more recent

Gentoo
------

Brian Vandenberg emailed `installation instructions on Gentoo
<http://groups.google.com/d/msg/theano-dev/-8WCMn2FMR0/bJPasoZXaqoJ>`_,
focusing on how to install the appropriate dependencies.

Nicolas Pinto provides `ebuild scripts <https://github.com/npinto/sekyfsr-gentoo-overlay/tree/master/sci-libs/Theano>`_.

Docker
~~~~~~

Builds of Theano are available as `Docker <https://www.docker.com>`_
images: `Theano Docker (CPU) <https://hub.docker.com/r/kaixhin/theano/>`_ or
`Theano Docker (CUDA) <https://hub.docker.com/r/kaixhin/cuda-theano/>`_. These
are updated on a weekly basis with bleeding-edge builds of Theano.
Examples of running bash in a Docker container are as follows:

.. code-block:: bash

    sudo docker run -it kaixhin/theano
    sudo nvidia-docker run -it kaixhin/cuda-theano:7.0

For a guide to Docker, see the `official docs <https://docs.docker.com>`_.
CUDA support requires `NVIDIA Docker <https://github.com/NVIDIA/nvidia-docker>`_.
For more details on how to use the Theano Docker images,
consult the `source project <https://github.com/Kaixhin/dockerfiles>`_.
