Windows Installation Instructions

Warning

If you want to install the bleeding-edge or development version of Aesara from GitHub, please make sure you are reading the latest version of this page.

Requirements

Note

We only support the installation of the requirements through conda.

Python == >= 3.7

The conda distribution is highly recommended. Python 2.4 was supported up to and including the release 0.6. Python 2.6 was supported up to and including the release 0.8.2. Python 3.3 was supported up to and including release 0.9. Python 3.6 was supported up to and including release 2.3.4.

NumPy >= 1.9.1

Earlier versions could work, but we don’t test it.

SciPy >= 0.14

Only currently required for sparse matrix and special functions support, but highly recommended. SciPy >=0.8 could work, but earlier versions have known bugs with sparse matrices.

BLAS installation (with Level 3 functionality)

• Recommended: MKL, which is free through Conda with mkl-service package.
• Alternatively, we suggest to install OpenBLAS, with the development headers (-dev, -devel, depending on your Linux distribution).

Optional requirements

GCC compiler with g++ (version >= 4.2.*), and Python development files

Highly recommended. Aesara can fall back on a NumPy-based Python execution model, but a C compiler allows for vastly faster execution.

Sphinx >= 0.5.1, pygments

For building the documentation. LaTeX and dvipng are also necessary for math to show up as images.

pydot-ng

To handle large picture for gif/images.

warp-ctc

Required for Aesara CTC implementation. It is faster then using an equivalent graph of Aesara ops.

Requirements installation through Conda (recommended)

Install Miniconda

Follow this link to install Miniconda.

Note

If you want fast compiled code (recommended), make sure you have g++ installed.

Install requirements and optional packages

conda install numpy scipy mkl-service libpython <m2w64-toolchain> pytest <sphinx> <pydot-ng> <git>

Note

• Arguments between <…> are optional.
• m2w64-toolchain package provides a fully-compatible version of GCC and is then highly recommended.
• git package installs git source control through conda, which is required for the development version of Aesara

Installation

Stable Installation

With conda

If you use conda, you can directly install aesara. .. code-block:: bash

conda install aesara

With pip

aesara

Install the latest stable version of Aesara with:

<sudo> pip install <--user> Aesara[test, doc]

• Any argument between <…> is optional.
• Use sudo for a root installation.
• Use user for a user installation without admin rights. It will install Aesara in your local site-packages.
• Use pip install -r requirements.txt to install the requirements for testing.
• Use pip install -r requirements-rtd.txt install the requirements for generating the documentation.

If you encountered any trouble, head to the Troubleshooting page.

Bleeding-Edge Installation (recommended)

Install the latest, bleeding-edge, development version of Aesara with:

<sudo> pip install <--user> <--no-deps> git+https://github.com/aesara-devs/aesara.git#egg=aesara

• Any argument between <…> is optional.
• Use sudo for a root installation.
• Use user for a user installation without admin rights. It will install Aesara in your local site-packages.
• Use no-deps when you don’t want the dependencies of Aesara to be installed through pip. This is important when they have already been installed as system packages.

If you encountered any trouble, head to the Troubleshooting page.

Developer Installation

Install the developer version of Aesara with:

git clone git://github.com/aesara-devs/aesara.git
cd aesara
<sudo> pip install <--user> <--no-deps> -e .

• Any argument between <…> is optional.
• Use sudo for a root installation.
• Use user for a user installation without admin rights. It will install Aesara in your local site-packages.
• Use no-deps when you don’t want the dependencies of Aesara to be installed through pip. This is important when they have already been installed as system packages.
• -e makes your installation editable, i.e., it links it to your source directory.

If you encountered any trouble, head to the Troubleshooting page.

Instructions for other Python distributions (not recommended)

If you plan to use Aesara with other Python distributions, these are generic guidelines to get a working environment:

• Look for the mandatory requirements in the package manager’s repositories of your distribution. Many distributions come with pip package manager which use PyPI repository. The required modules are Python (of course), NumPy, SciPy and a BLAS implementation (MKL or OpenBLAS). Use the versions recommended at the top of this documentation.

• If the package manager provide a GCC compiler with the recommended version (see at top), install it. If not, you could use the build TDM GCC which is provided for both 32- and 64-bit platforms. A few caveats to watch for during installation:

  1. Install to a directory without spaces (we have placed it in C:\SciSoft\TDM-GCC-64)
  2. If you don’t want to clutter your system PATH un-check add to path option.
  3. Enable OpenMP support by checking the option openmp support option.