%FILENAME%
onnxruntime-cuda-1.28.0-1-x86_64.pkg.tar.zst

%NAME%
onnxruntime-cuda

%BASE%
onnxruntime

%VERSION%
1.28.0-1

%DESC%
Cross-platform, high performance scoring engine for ML models (with CUDA)

%CSIZE%
387839474

%ISIZE%
601651853

%SHA256SUM%
639e47fc5907f7133b01e0c1f8393ed7b51b8e2d03aa36114d12636cc5026262

%PGPSIG%
iHUEABYKAB0WIQQEzwzW9u6TrhiW9YQH0GNRylsxvgUCamYFWwAKCRAH0GNRylsxvrNDAP0YKTqH/QrnKqH0BRdDsYBo4AIR6ysbYSMgk8UZHZnR0QD+MqbtH4w3XsQFRp0ejbM5qhqfARzqQVjXe97sY2E50gM=

%URL%
https://github.com/microsoft/onnxruntime

%LICENSE%
MIT

%ARCH%
x86_64

%BUILDDATE%
1785060204

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

%REPLACES%
onnxruntime

%CONFLICTS%
onnxruntime

%PROVIDES%
onnxruntime=1.28.0

%DEPENDS%
cpuinfo
protobuf
glibc
libgcc
libstdc++
cuda
cudnn
cudnn-frontend
nccl
onednn

%MAKEDEPENDS%
git
cmake
ninja
boost
pybind11
nlohmann-json
chrono-date
cxxopts
protobuf
microsoft-gsl
eigen
dlpack
safeint
python-setuptools
python-installer
python-wheel
python-build
onednn
cuda
cudnn
cudnn-frontend
nccl
rocm-toolchain
rocm-hip-sdk
hipify-clang
rocm-smi-lib
roctracer
migraphx
python-numpy
python-psutil
python-py-cpuinfo
python-sympy
python-scipy
python-pillow
python-flatbuffers
python-protobuf
python-packaging

