Revision a26ffe09a1468b328bd0e26e432e5fb1cc334efc authored by Jean Kossaifi on 08 March 2023, 06:36:00 UTC, committed by GitHub on 08 March 2023, 06:36:00 UTC
Add logsumexp function
meta.yaml
{% set name = "tensorly" %}
{% set version = "0.8.0" %}
package:
name: "{{ name|lower }}"
version: "{{ version }}"
source:
path: ../
build:
number: 0
noarch: python
script: "{{ PYTHON }} -m pip install --no-deps --ignore-installed . -vv"
requirements:
build:
- python >=3.7
- setuptools
- pip
run:
- python
- numpy
- scipy
test:
requires:
- pytest
commands:
- TENSORLY_BACKEND='numpy' pytest -v $SP_DIR/tensorly
about:
home: https://github.com/tensorly/tensorly/
license: BSD-3-Clause
license_family: BSD
license_file: LICENSE.txt
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.
doc_url: http://tensorly.org
dev_url: https://github.com/tensorly/tensorly
extra:
recipe-maintainers:
- JeanKossaifi
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