.. _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 `_, focusing on how to install the appropriate dependencies. Nicolas Pinto provides `ebuild scripts `_. AWS Marketplace with Bitfusion AMI ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AWS EC2 AMI pre-installed with Nvidia drivers, CUDA, cuDNN, Theano, Keras, Lasagne, Python 2, Python 3, PyCuda, Scikit-Learn, Pandas, Enum34, iPython, and Jupyter. Note, as always there is no charge for Theano and other open software, however there is a charge for AWS hosting + Bitfusion. `Launch `_ an instance from the AWS Marketplace. Docker ~~~~~~ Builds of Theano are available as `Docker `_ images: `Theano Docker (CPU) `_ or `Theano Docker (CUDA) `_. 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 `_. CUDA support requires `NVIDIA Docker `_. For more details on how to use the Theano Docker images, consult the `source project `_.