meta.yaml

{% set build_variant = environ.get('CONDA_BUILD_VARIANT', 'cpu') %}
package:
  name: torchvision
  version: "{{ environ.get('BUILD_VERSION') }}"

source:
 path: "{{ environ.get('SOURCE_ROOT_DIR') }}"

requirements:
  build:
    - {{ compiler('c') }} # [win]
    - libpng
    - jpeg
    # NOTE: The only ffmpeg version that we build is actually 4.2
    - ffmpeg >=4.2  # [not win]

  host:
    - python
    - setuptools
    - pytorch-mutex 1.0 {{ build_variant }}  # [not osx ]
    {{ environ.get('CONDA_PYTORCH_BUILD_CONSTRAINT') }}
    {{ environ.get('CONDA_CUDATOOLKIT_CONSTRAINT', '') }}

  run:
    - python
    - defaults::numpy >=1.11
    - libpng
    - ffmpeg >=4.2  # [not win]
    - jpeg
    - pillow >=5.3.0, !=8.3.*
    - pytorch-mutex 1.0 {{ build_variant }}  # [not osx ]
    {{ environ.get('CONDA_PYTORCH_CONSTRAINT') }}
    {{ environ.get('CONDA_CUDATOOLKIT_CONSTRAINT', '') }}

  {% if build_variant == 'cpu' %}
  run_constrained:
    - cpuonly
  {% elif not osx %}
  run_constrained:
     - cpuonly <0
  {% endif %}

build:
  string: py{{py}}_{{ environ['CU_VERSION'] }}
  script: python setup.py install --single-version-externally-managed --record=record.txt
  script_env:
    - CUDA_HOME
    - FORCE_CUDA
    - BUILD_VERSION
    - TORCH_CUDA_ARCH_LIST

test:
  imports:
    - torchvision
    - torchvision.datasets
    - torchvision.transforms
  source_files:
    - test
  requires:
    - pytest
    - scipy
    - jpeg
    - ca-certificates


about:
  home: https://github.com/pytorch/vision
  license: BSD
  license_file: LICENSE
  summary: 'image and video datasets and models for torch deep learning'