%FILENAME%
onnxruntime-opt-cuda-1.23.2-4-x86_64.pkg.tar.zst

%NAME%
onnxruntime-opt-cuda

%BASE%
onnxruntime

%VERSION%
1.23.2-4

%DESC%
Cross-platform, high performance scoring engine for ML models (with CUDA and AVX2 CPU optimizations)

%CSIZE%
684987522

%ISIZE%
839777541

%SHA256SUM%
055379ce4b84058237e66b52158c240b0fc451ac015aae9e498afbb145c83307

%PGPSIG%
iHUEABYKAB0WIQQEzwzW9u6TrhiW9YQH0GNRylsxvgUCaUExSwAKCRAH0GNRylsxvsdFAPwPdSlDh3en/1t1o14v2m7ztGxMIPDelXp22YpfxRilSAEAnRHa0NqpxegtR/IRcV+ckBQbaamaq7hWZvpo0OnlFgQ=

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

%LICENSE%
MIT

%ARCH%
x86_64

%BUILDDATE%
1765873305

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

%REPLACES%
onnxruntime-opt

%CONFLICTS%
onnxruntime

%PROVIDES%
onnxruntime=1.23.2

%DEPENDS%
abseil-cpp
boost-libs
cuda
cudnn
nccl
onednn

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

