%FILENAME%
onnxruntime-opt-1.16.3-10-x86_64.pkg.tar.zst

%NAME%
onnxruntime-opt

%BASE%
onnxruntime

%VERSION%
1.16.3-10

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

%CSIZE%
62218774

%ISIZE%
913643863

%MD5SUM%
a5283ca4e565076a41dca54970f32b35

%SHA256SUM%
80efd32ef88816cd14d4e4107126f07e7a698c318c90aba61c3f67a811dda1c1

%PGPSIG%
iQJIBAABCAAyFiEE6HyevZCe8oInuRJWULwdtYO3lwYFAmZCbq8UHGFzbWVyb25AdWJsaW51eC5jb20ACgkQULwdtYO3lwa7FhAAq8ScFjT9Dq6sC19n1QjK8Hw38wWTmqvwzTt3Dxoe3udR/ynBuNxNY4fTY+xlm5qZuNkNmivIArVJJhGDBsVpv48nq3i9kIlre8EWfAP9DSlHziEJNBLTQJNdIWd+tdSc7omtsI4L9d9547m9/8n7Hw0Ez84tBFLe9FwjtYbp5m/3Ck5yQ0e6U+tyKZSpnZ68FClinFiQ3ZE/Pupn1DybOHXTA/ZIVL1lChh58g6ihQWlZEc0l2fo2O213CxSYKOLzOOOVoiGQM1NdEDMgZCNAbqlxnikHUp0X6wMO7vcR2lDWKzKm+juKl4X/0h2kDfblAaM1ym2StiXSoyXFxVARptJod7bLdexzyPIsPJcbLE1+bytxykmbuACoRD3nDTNHQsBW9nqJoLl4219/0adANCdlY065l00lJb/cq0xlpOyrshPBQCEu1ZG2BCloFHg2z49d8SV4IoynSSaWuDFAoLwIQGlgVrVKrxzWeg09tKjweLGTo6k3LKbpxnjQ3Tqu5XhsSWqyiiReIfL3ZDRL5RzJohtqJ1O0uZJ9BadxCBnfAwhOKICvl1zmVtqH7NpF53nXmObB1NkKNwB8AIFvC7DFgD0/i6B6S2fNnO0OH0BvqvWExyOfCYZYcNhTxsDkexYbYRkxPN7TMfrGTWNJExh6mpbQ0Ll+SskbQqcSqQ=

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

%LICENSE%
MIT

%ARCH%
x86_64

%BUILDDATE%
1714714867

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

%CONFLICTS%
onnxruntime

%PROVIDES%
onnxruntime=1.16.3

%DEPENDS%
abseil-cpp
boost
nsync
onednn
intel-oneapi-mkl

%OPTDEPENDS%
openmpi: Distributed memory parallelization
cuda: nVidia GPU acceleration
cudnn: nVidia GPU acceleration
nccl: nVidia GPU acceleration

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

