Welcome

Aesara is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Aesara features:

• tight integration with NumPy – Use numpy.ndarray in Aesara-compiled functions.
• transparent use of a GPU – Perform data-intensive computations much faster than on a CPU.
• efficient symbolic differentiation – Aesara does your derivatives for functions with one or many inputs.
• speed and stability optimizations – Get the right answer for log(1+x) even when x is really tiny.
• dynamic C code generation – Evaluate expressions faster.
• extensive unit-testing and self-verification – Detect and diagnose many types of errors.

Aesara is based on Theano, which has been powering large-scale computationally intensive scientific investigations since 2007.

Download

Aesara is available on PyPI, and can be installed via pip install Aesara.

Those interested in bleeding-edge features should obtain the latest development version, available via:

git clone git://github.com/pymc-devs/aesara.git

You can then place the checkout directory on your $PYTHONPATH or use python setup.py develop to install a .pth into your site-packages directory, so that when you pull updates via Git, they will be automatically reflected the “installed” version. For more information about installation and configuration, see installing Aesara.

Documentation

Roughly in order of what you’ll want to check out:

• Installing Aesara – How to install Aesara.
• Aesara at a Glance – What is Aesara?
• Tutorial – Learn the basics.
• Troubleshooting – Tips and tricks for common debugging.
• API Documentation – Aesara’s functionality, module by module.
• Frequently Asked Questions – A set of commonly asked questions.
• Optimizations – Guide to Aesara’s graph optimizations.
• Extending Aesara – Learn to add a Type, Op, or graph optimization.
• Developer Start Guide – How to contribute code to Aesara.
• Internal Documentation – How to maintain Aesara and more…
• release – How our release should work.
• Acknowledgements – What we took from other projects.
• Related Projects – link to other projects that implement new functionalities on top of Aesara

• Visit theano-users if you want to talk to all Theano users.
• Visit theano-dev if you want to talk to the developers.
• Ask/view questions/answers at StackOverflow
• We use Github tickets to keep track of issues.