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swh:1:snp:4e3e7077647a709f15b8c1b32ce7100175d0580b
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(requires biblatex-software package)
Generating citation ...
(requires biblatex-software package)
Generating citation ...
(requires biblatex-software package)
Generating citation ...
(requires biblatex-software package)
Generating citation ...
Tip revision: fa272515cfb398d4b1ca644ba50f4f82dff63d20 authored by Jean Kossaifi on 03 September 2021, 17:55:21 UTC
Merge pull request #293 from IsabellLehmann/cmtf_als
Tip revision: fa27251
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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