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Source: python-einx
Section: python
Priority: optional
Maintainer: Debian Python Team <team+python@tracker.debian.org>
Uploaders: Steffen Moeller <moeller@debian.org>
Rules-Requires-Root: no
Build-Depends:
debhelper-compat (= 13),
dh-sequence-python3,
python3-setuptools,
python3-all,
python3-frozendict <!nocheck>,
python3-numpy <!nocheck>,
python3-sympy <!nocheck>
#Testsuite: autopkgtest-pkg-python
Standards-Version: 4.7.2
Homepage: https://github.com/fferflo/einx
Vcs-Browser: https://salsa.debian.org/python-team/packages/python-einx
Vcs-Git: https://salsa.debian.org/python-team/packages/python-einx,git
Package: python3-einx
Architecture: all
Depends:
${python3:Depends},
${misc:Depends},
Suggests:
python3-torch
Description: Universal Tensor Operations in Einstein-Inspired Notation
einx is a Python library that provides a universal interface to
formulate tensor operations in frameworks such as Numpy, PyTorch,
Jax and Tensorflow. The design is based on the following principles:
.
Provide a set of elementary tensor operations following Numpy-like
naming:
einx.{sum|max|where|add|dot|flip|get_at|...}
.
Use einx notation to express vectorization of the elementary
operations. einx notation is inspired by einops, but introduces several
novel concepts such as []-bracket notation and full composability that
allow using it as a universal language for tensor operations.
einx can be integrated and mixed with existing code seamlessly. All
operations are just-in-time compiled into regular Python functions using
Python's exec() and invoke operations from the respective framework.
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