Revision f69ef1d2d48666ee01c19e625d1fcf29eaa316a1 authored by Jean Kossaifi on 01 July 2021, 10:38:38 UTC, committed by GitHub on 01 July 2021, 10:38:38 UTC
Sparse backend usage section example
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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