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# Maintainer: Chih-Hsuan Yen <yan12125@gmail.com>
pkgbase=python-onnxruntime
# Not split DNNL EP to another package as it's needed unconditionally at runtime if built at compile time
# https://github.com/microsoft/onnxruntime/blob/v1.9.1/onnxruntime/python/onnxruntime_pybind_state.cc#L533
pkgname=(python-onnxruntime python-onnxruntime-cuda)
pkgver=1.9.1
pkgdesc='Cross-platform, high performance scoring engine for ML models'
pkgrel=4
arch=(x86_64)
url='https://github.com/microsoft/onnxruntime'
license=(MIT)
depends=(nsync re2 python-flatbuffers python-numpy python-onnx python-protobuf openmpi onednn)
makedepends=(git cmake gtest gmock pybind11 python-setuptools nlohmann-json chrono-date boost eigen flatbuffers cuda cudnn nccl clang)
# not de-vendored libraries
# onnx: needs shared libonnx (https://github.com/onnx/onnx/issues/3030)
source=("git+https://github.com/microsoft/onnxruntime#tag=v$pkgver"
"git+https://github.com/onnx/onnx.git"
"git+https://github.com/dcleblanc/SafeInt.git"
"git+https://github.com/martinmoene/optional-lite.git"
"git+https://github.com/tensorflow/tensorboard.git"
"git+https://github.com/dmlc/dlpack.git"
"git+https://github.com/jarro2783/cxxopts.git"
"pytorch_cpuinfo::git+https://github.com/pytorch/cpuinfo.git"
build-fixes.patch
clang.patch
system-dnnl.diff)
sha512sums=('SKIP'
'SKIP'
'SKIP'
'SKIP'
'SKIP'
'SKIP'
'SKIP'
'SKIP'
'685f0235abed6e1277dd0eb9bda56c464d1987fe7fc90a3550e17ec70cc49fd15f34996a0e159f9622c4ca3e6bf29917fe51b7849342531fa2a6808d782f1e06'
'ad94af8bb25744b244c4f82e9a06189741f82b295a88523ca0e8005568fac710c2299d783989457e9cf96ef8da0593fb4f70c8792d416f44ab29d6493e204f13'
'6735c7aca2ba2f1f2a5286eb064125bf7f2c68a575d572dd157769d15778ff3e717b3a53d696c767748229f23ee6c3a7c82679df1d86283d7c4dd0ec9103ae08')
# CUDA seems not working with LTO
options+=('!lto')
# Check PKGBUILDs of python-pytorch and tensorflow for CUDA architectures built by official packages
_CUDA_ARCHITECTURES="52-real;53-real;60-real;61-real;62-real;70-real;72-real;75-real;80-real;86-real;86-virtual"
prepare() {
cd onnxruntime
patch -Np1 -i ../build-fixes.patch
patch -Np1 -i ../clang.patch
patch -Np1 -i ../system-dnnl.diff
git submodule init
for mod in onnx SafeInt optional-lite tensorboard dlpack cxxopts pytorch_cpuinfo; do
git config submodule.cmake/external/$mod.url "$srcdir"/$mod
git submodule update cmake/external/$mod
done
}
build() {
cd "$srcdir"/onnxruntime
local cmake_args=(
-DCMAKE_INSTALL_PREFIX=/usr
-Donnxruntime_ENABLE_PYTHON=ON
-Donnxruntime_PREFER_SYSTEM_LIB=ON
-Donnxruntime_BUILD_SHARED_LIB=ON
-Donnxruntime_ENABLE_TRAINING=ON
-Donnxruntime_USE_MPI=ON
-Donnxruntime_USE_PREINSTALLED_EIGEN=ON
-Donnxruntime_USE_DNNL=ON
-Deigen_SOURCE_PATH=/usr/include/eigen3
)
# Use protobuf-lite instead of full protobuf to workaround symbol conflicts
# with onnx; see https://github.com/onnx/onnx/issues/1277 for details.
cmake_args+=(
-DONNX_CUSTOM_PROTOC_EXECUTABLE=/usr/bin/protoc
-Donnxruntime_USE_FULL_PROTOBUF=OFF
)
# 1. Redefine ___is_signed to ___is_signed to workaround a regression
# from CUDA 11.3 -> 11.3.1 [1].
# 2. Enable parallel builds for NVCC via -t0, which spawns multiple
# cicc and ptxas processes for each nvcc invocation. The number of
# total processes may be much larger than the number of cores - let
# the scheduler handle it.
# [1] https://forums.developer.nvidia.com/t/182176
cmake_args+=(
-DCMAKE_CUDA_HOST_COMPILER=/usr/bin/clang
-DCMAKE_CUDA_FLAGS="-D__is_signed=___is_signed -t0"
-DCMAKE_CUDA_ARCHITECTURES="$_CUDA_ARCHITECTURES"
-Donnxruntime_USE_CUDA=ON
-Donnxruntime_CUDA_HOME=/opt/cuda
-Donnxruntime_CUDNN_HOME=/usr
-Donnxruntime_USE_NCCL=ON
)
# Use clang as GCC does not work. GCC 11 crashes with internal
# compiler errors. GCC 10 does not work as some dependent packages
# (ex: re2) are built with libstdc++ from GCC 11, and thus linking
# onnxruntime with libstdc++ 10 fails.
CC=/usr/bin/clang CXX=/usr/bin/clang++ \
cmake -B build -S cmake "${cmake_args[@]}" "$@"
cd build
make
python ../setup.py build
}
package_python-onnxruntime() {
cd onnxruntime/build
make install DESTDIR="$pkgdir"
python ../setup.py install --root="$pkgdir" --skip-build --optimize=1
PY_ORT_DIR="$(python -c 'import site; print(site.getsitepackages()[0])')/onnxruntime"
install -Ddm755 "$pkgdir"/usr/share/licenses/$pkgname
for f in LICENSE ThirdPartyNotices.txt ; do
ln -s "$PY_ORT_DIR/$f" "$pkgdir"/usr/share/licenses/$pkgname/$f
done
# already installed by `make install`, and not useful as this path is not looked up by the linker
rm -vf "$pkgdir/$PY_ORT_DIR"/capi/libonnxruntime_providers_*
# installed as split packages
rm -vf "$pkgdir"/usr/lib/libonnxruntime_providers_cuda.so
}
package_python-onnxruntime-cuda() {
depends+=(cuda cudnn nccl python-onnxruntime)
pkgdesc+=' (CUDA execution provider)'
cd onnxruntime/build
install -Dm755 libonnxruntime_providers_cuda.so -t "$pkgdir"/usr/lib
install -Ddm755 "$pkgdir"/usr/share/licenses
ln -s python-onnxruntime "$pkgdir"/usr/share/licenses/$pkgname
}
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