%FILENAME%
python-cupy-13.6.0-9-x86_64.pkg.tar.zst

%NAME%
python-cupy

%BASE%
python-cupy

%VERSION%
13.6.0-9

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

%CSIZE%
30045253

%ISIZE%
69610328

%MD5SUM%
b3e600cfdf6df68233eeb2ebf142f470

%SHA256SUM%
7e34ab25dab82090857b14f65fc1f59a641ddc7530ff7fdfd03869db48bed3b8

%PGPSIG%
iHUEABYKAB0WIQQQlBXmkgB2Ccp+v+QAHPSBC+jZEQUCaT693wAKCRAAHPSBC+jZEXDnAP4ovr2YL16+TFJgiOo293zb2iQo4ntykVDIbnCil4k3nwD/WG5hJ/P5P8v7wHRC+nJQL3Q7WOQ71EB0BiS09dkfEgA=

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

%LICENSE%
MIT

%ARCH%
x86_64

%BUILDDATE%
1765716325

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

%DEPENDS%
cuda
gcc-libs
glibc
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

