Revision 60a1c94af269ff89788e79211d5a135c6b292933 authored by Jean Kossaifi on 07 November 2021, 12:47:24 UTC, committed by GitHub on 07 November 2021, 12:47:24 UTC
Adds constrained parafac
meta.yaml
package:
name: tensorly
version: "0.5.1"
source:
path: ../
build:
number: 0
noarch: python
script: python -m pip install --no-deps --ignore-installed .
requirements:
build:
- python >=3.6
- 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,
CuPy or JAX, and run methods at scale on CPU or GPU.
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