Installation#
Requirements#
Module |
Version |
Notes |
|---|---|---|
Python |
3.9.12 |
Python 3.9+ supported. Python 3.10 untested. |
Numpy |
>=1.19.0 |
Older versions may be compatible |
Aesara |
>2.7.4 |
Latest version of Aesara can be downloaded from https://github.com/aesara-devs/aesara |
Scipy |
>1.7.1 |
|
MKL |
>=2022.0.1 |
Installed through Conda |
Install Conda (miniconda)#
Download and install Miniconda
Full Anaconda works fine, but Miniconda is recommmended for a minimal installation. Ensure that Conda is using at least Python 3.9
Next, install the required dependencies:
conda install mkl-service conda-forge::cxx-compiler conda-forge::m2w64-toolchain -y
conda install mkl-service Clang -y
conda install mkl-service conda-forge::cxx-compiler -y
Stable release installation#
Once you have installed the Conda dependencies, download and install the latest
branch of PyCMTensor from PyPI.
In your conda environment, run:
pip install -U pycmtensor
Alternatively, the latest development version is available via Github. It can be installed via
pip install -U git+https://github.com/mwong009/pycmtensor.git
Source code#
The source code for PyCMTensor can be downloaded from the main Github repo.
git clone git://github.com/mwong009/pycmtensor