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Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
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nouiz Merge pull request #6689 from justanhduc/fixed-frac-bilinear-upsample
added test for output shape of frac bilinear upsampling
Latest commit 9feed78 Mar 3, 2019
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.circleci Adjust artifact paths. Oct 10, 2017
.jenkins Revert "Try to fix cuDNN finding in jenkins tests for Windows" Dec 1, 2017
.travis Added support for the axis parameter of numpy.unique (#6644) Sep 21, 2018
bin Remove old files not used anymore. Mar 3, 2017
conda Don't use noarch in the receipe since it makes broken packages. Sep 18, 2017
doc Update the documentation on gpuarray.sched Jan 17, 2019
theano Merge pull request #6689 from justanhduc/fixed-frac-bilinear-upsample Mar 3, 2019
.gitignore Fix typos and other doc/comment issues, add .idea to .gitignore, and … Aug 1, 2016
HISTORY.txt Add information in the issue template Sep 19, 2016
LICENSE.txt Use versioneer. Sep 14, 2017
NEWS.txt Modifications for the 1.0.4 release Jan 15, 2019
README.rst Add in the read-me information about MILA and Theano. Oct 6, 2017
Theano.sln Created Visual Studio Python project Nov 29, 2011
setup.cfg Use versioneer. Sep 14, 2017


MILA will stop developing Theano.

To install the package, see this page:
For the documentation, see the project website:
Related Projects:

It is recommended that you look at the documentation on the website, as it will be more current than the documentation included with the package.

In order to build the documentation yourself, you will need sphinx. Issue the following command:

python ./doc/scripts/

Documentation is built into html/

The PDF of the documentation can be found at html/theano.pdf


Theano (current directory) is the distribution directory.

  • Theano/theano contains the package
  • Theano/theano has several submodules:
    • gof + compile are the core
    • scalar depends upon core
    • tensor depends upon scalar
    • sparse depends upon tensor
    • sandbox can depend on everything else
  • Theano/examples are copies of the example found on the wiki
  • Theano/benchmark and Theano/examples are in the distribution, but not in the Python package
  • Theano/bin contains executable scripts that are copied to the bin folder when the Python package is installed
  • Tests are distributed and are part of the package, i.e. fall in the appropriate submodules
  • Theano/doc contains files and scripts used to generate the documentation
  • Theano/html is where the documentation will be generated
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