1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
|
Source: python-einops
Section: science
Homepage: https://github.com/arogozhnikov/einops
Priority: optional
Standards-Version: 4.7.0
Vcs-Browser: https://salsa.debian.org/deeplearning-team/python-einops
Vcs-Git: https://salsa.debian.org/deeplearning-team/python-einops.git
Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
Uploaders: Mo Zhou <lumin@debian.org>
Build-Depends:
debhelper-compat (= 13),
dh-python,
python3-all,
python3-setuptools,
python3-pytest <!nocheck>,
python3-numpy,
pybuild-plugin-pyproject,
python3-hatchling,
python3-parameterized <!nocheck>,
python3-nbformat <!nocheck>,
python3-nbconvert <!nocheck>,
Package: python3-einops
Architecture: all
Depends: ${misc:Depends}, ${python3:Depends}
Recommends: python3-numpy
Suggests: python3-torch | python3-torch-cuda | python3-torch-rocm,
python3-cupy | python3-cupy-rocm,
python3-jax | python3-jax-cuda,
Description: Flexible and powerful tensor operations for readable code
einops stands for Einstein-Inspired Notation for operations (though "Einstein
operations" is more attractive and easier to remember). Notation was loosely
inspired by Einstein summation (in particular by numpy.einsum operation).
.
Supports numpy, pytorch, tensorflow, jax, and others.
|
