phytorch 0.0.42.0

Utilities for computational physics with PyTorch

φtorch: spark up your physics

utilities for computational physics based on PyTorch

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phytorch (φtorch) is a package for doing physics using PyTorch as the backend for computations, which allows parallelisation on GPUs and automatic differentiation. Check out the docs to see what's on offer!

Installation

φtorch consists of Python modules and a PyTorch extension written in C++/CUDA. Therefore, installation has two steps, but should otherwise be fully automatic.

1. First, clone (or download) the source code, then cd into the root directory and run

   pip install -e .
   

   This will automatically install the few dependencies and the pure-Python code (in developer mode, which means that it won't be installed in the site-packages but will run out of the current directory). If you are not interested in special functions and differentiable cosmographic distances, you’re good to go!

   Note In that case, you can also now install the pure-Python components from PyPI using

   pip install phytorch
   

2. Then, to compile the extensions,

   cd phytorch-extensions
   python setup.py build_ext
   

   Warning Building the extensions currently requires you to have a CUDA compiler, which, I realise, sucks. I’m working on making a cpu-only version possible.

   Finally, the extensions, which have now been built in a folder like phytorch-extensions/build/lib*, need to be linked to phytorch/extensions:

   cd ../phytorch/extensions
   ln -s ../../phytorch-extensions/build/lib*/* .
   

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This program is free software and comes with no warranty except that which can be reasonably expected of computer logic. It is, however, licensed under the GNU General Public Licence v3.0, which disallows closed source re-distribution and any such foul nonsense.