swh:1:snp:1c3b4a274d5738af4157f693e28fbbb196a2bcfd
Tip revision: 0fa8ab5b81e54410ee9b34a1ac5e45eebda7e387 authored by Jean Kossaifi on 06 August 2019, 17:16:06 UTC
Upload only once
Upload only once
Tip revision: 0fa8ab5
meta.yaml
package:
name: tensorly
version: "0.4.3"
source:
path: ../
build:
number: 0
noarch: python
script: python -m pip install --no-deps --ignore-installed .
requirements:
build:
- python >=3.4
- setuptools
- pip
run:
- python
- numpy
- scipy
test:
requires:
- pytest
# NumPy requires nosetests e.g. for assert_raises.....
- nose
commands:
- TENSORLY_BACKEND='numpy' pytest -v $SP_DIR/tensorly
about:
home: https://github.com/tensorly/tensorly/
license: BSD
summary: "Tensor learning in Python"
description: |
TensorLy is a Python library that aims at making tensor learning simple
and accessible. It allows to easily perform tensor decomposition,
tensor learning and tensor algebra. Its backend system allows to
seamlessly perform computation with NumPy, MXNet, PyTorch, TensorFlow
or CuPy, and run methods at scale on CPU or GPU.