.. include:: css.inc .. _updating: Updating Theano =============== Follow one of these three sections depending on how you installed Theano. You should update frequently, bugs are fixed on a very regular basis, and features are added even more frequently! Stable Installation ------------------- The following command will update only Theano: .. raw:: html
<sudo> pip install <--user> <--no-deps> theano
- Use :red:`sudo` for a root installation. - Use :blue:`user` for a user installation without admin rights. It will install Theano in your local site-packages. - Use :pink:`no-deps` when you don't want the dependencies of Theano to not be installed through pip. This is important when they have already been installed as system packages. .. warning:: If you installed NumPy/SciPy with yum/apt-get, updating NumPy/SciPy with pip/easy_install is not always a good idea. This can make Theano crash due to problems with BLAS. The versions of NumPy/SciPy in the distribution are sometimes linked against faster versions of BLAS. Installing NumPy/SciPy with yum/apt-get/pip/easy_install won't install the development package needed to recompile it with the fast version. To fix a possible crash, you can clear the Theano cache like this: .. code-block:: bash theano-cache clear Bleeding-Edge Installation -------------------------- The following command will update your bleeding-edge version of Theano .. raw:: html
<sudo> pip install <--user> <--no-deps> git+https://github.com/Theano/Theano.git#egg=Theano
- Use :red:`sudo` for a root installation. - Use :blue:`user` for a user installation without admin rights. It will install Theano in your local site-packages. - Use :pink:`no-deps` when you don't want the dependencies of Theano to not be installed through pip. This is important when they have already been installed as system packages. .. warning:: If you installed NumPy/SciPy with yum/apt-get, updating NumPy/SciPy with pip/easy_install is not always a good idea. This can make Theano crash due to problems with BLAS. The versions of NumPy/SciPy in the distribution are sometimes linked against faster versions of BLAS. Installing NumPy/SciPy with yum/apt-get/pip/easy_install won't install the development package needed to recompile it with the fast version. To fix a possible crash, you can clear the Theano cache like this: .. code-block:: bash theano-cache clear Developer Installation ---------------------- To update your library to the latest revision, change directory (``cd``) to your ``Theano`` folder and execute the following command: .. warning:: The following assumes you have knowledge of git and know how to do a rebase. .. code-block:: bash git pull --rebase