%FILENAME%
python-torchvision-cuda-0.23.0-2-x86_64.pkg.tar.zst

%NAME%
python-torchvision-cuda

%BASE%
torchvision

%VERSION%
0.23.0-2

%DESC%
Datasets, transforms, and models specific to computer vision (with GPU support)

%CSIZE%
2588094

%ISIZE%
20560440

%MD5SUM%
911ceb2ec9d0a5bd60b53cb72c7b6c5d

%SHA256SUM%
d744cf0b9af50844800a1e128f4206c49fc507ecdcc69f39e1bb4c7430c1f330

%PGPSIG%
iHUEABYKAB0WIQQQlBXmkgB2Ccp+v+QAHPSBC+jZEQUCaM7bkAAKCRAAHPSBC+jZEdiYAQCFNYztnid3KLwi+xn8P3q0N5Q6J+mojZPu9hDe3R74YQD+J97C+Cva73SW+7IPvMULFzgWcAlZpEbFttEyhyawkwA=

%URL%
https://github.com/pytorch/vision

%LICENSE%
BSD-3-Clause

%ARCH%
x86_64

%BUILDDATE%
1758386562

%PACKAGER%
Jakub Klinkovský <lahwaacz@archlinux.org>

%CONFLICTS%
python-torchvision

%PROVIDES%
python-torchvision

%DEPENDS%
numactl
python-numpy
python-pillow
python-requests
python-scipy
python-sympy
python-pytorch-cuda

%OPTDEPENDS%
ffmpeg: video reader backend (the recommended one with better performance)
python-pycocotools: support for MS-COCO dataset

%MAKEDEPENDS%
cmake
ninja
cuda
cudnn
ffmpeg
python-pytorch-opt-cuda
python-build
python-installer
python-setuptools
python-wheel
qt5-base
nvidia-utils

