meta.yaml

package:
  name: torch-spline-conv
  version: 1.1.1

source:
  path: ../..

requirements:
  host:
    - pip
    - python
    - numpy>=1.11
    - {{ environ.get('CONDA_PYTORCH_CONSTRAINT') }}
    - {{ environ.get('CONDA_CUDATOOLKIT_CONSTRAINT') }}

  run:
    - python
    - numpy>=1.11
    - {{ environ.get('CONDA_PYTORCH_CONSTRAINT') }}
    - {{ environ.get('CONDA_CUDATOOLKIT_CONSTRAINT') }}

build:
  string: py{{py}}_torch_{{ environ['TORCH_VERSION'] }}_{{ environ['CUDA_VERSION'] }}
  script: python setup.py install
  script_env:
    - CUDA_HOME
    - FORCE_CUDA
    - FORCE_ONLY_CPU

test:
  imports:
    - torch_spline_conv

about:
  home: https://github.com/rusty1s/pytorch_spline_conv
  license: MIT
  summary: Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch