%FILENAME%
python-cupy-14.1.1-1-x86_64.pkg.tar.zst

%NAME%
python-cupy

%BASE%
python-cupy

%VERSION%
14.1.1-1

%DESC%
NumPy/SciPy-compatible array library for GPU-accelerated computing with Python (CUDA version)

%CSIZE%
31636425

%ISIZE%
77744899

%SHA256SUM%
316b2afe37049e30e1c3b738b4f5f334f0ddf65ba5c79d8ae15df78d97cb88e5

%PGPSIG%
iHUEABYKAB0WIQQEzwzW9u6TrhiW9YQH0GNRylsxvgUCah1PUQAKCRAH0GNRylsxvk1rAQCefpKNKmaxdqSrNPbQ4wyOpuvaWytId+0iKriLskicIwD/ZV1ZfPDrRCmpE+bOAcBsAVn0nP4ord694zHYvJ19TgE=

%URL%
https://github.com/cupy/cupy

%LICENSE%
MIT

%ARCH%
x86_64

%BUILDDATE%
1780304207

%PACKAGER%
Torsten Keßler <tpkessler@archlinux.org>

%DEPENDS%
cuda
glibc
libgcc
libstdc++
python
python-fastrlock
python-numpy

%OPTDEPENDS%
python-scipy: for copying sparse matrices from GPU to CPU
python-optuna: for using using Automatic Kernel Parameters Optimizations (cupyx.optimizing)
cutensor: for acceleratedd tensor operations
nccl: for collective multi-GPU computations

%MAKEDEPENDS%
git
cython
python-build
python-installer
python-wheel
python-setuptools
python-fastrlock
python-numpy
cuda
cutensor
nccl
hip-runtime-amd
hipblas
hipcub
hipfft
hiprand
hipsparse
rccl
rocfft
rocprim
rocrand
rocsolver
rocsparse
rocthrust
roctracer
rocm-toolchain

