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# Maintainer: Daniel Bermond <dbermond@archlinux.org>
# NOTE:
# In order to build the package, you need to manually download the TensorRT
# file from NVIDIA's website (registration required). Place the downloaded
# file in the PKGBUILD directory and run makepkg.
# Download website:
# https://developer.nvidia.com/tensorrt/
pkgbase=tensorrt
pkgname=('tensorrt' 'python-tensorrt' 'tensorrt-doc')
pkgver=8.2.3.0
_tensorrt_tag=22.02
_cudaver=11.4
_cudnnver=8.2
_protobuf_ver=3.17.3
_graphsurgeonver=0.4.5
_uffver=0.6.9
pkgrel=1
pkgdesc='A platform for high-performance deep learning inference on NVIDIA hardware'
arch=('x86_64')
url='https://developer.nvidia.com/tensorrt/'
license=('custom:NVIDIA-SLA' 'Apache')
makedepends=('git' 'cmake' 'poppler' 'cuda' 'cudnn' 'pybind11' 'python' 'python-onnx'
'python-pip' 'python-wheel')
source=("local://TensorRT-${pkgver}.Linux.${CARCH}-gnu.cuda-${_cudaver}.cudnn${_cudnnver}.tar.gz"
"git+https://github.com/NVIDIA/TensorRT.git#tag=${_tensorrt_tag}"
'protobuf-protocolbuffers'::'git+https://github.com/protocolbuffers/protobuf.git'
'cub-nvlabs'::'git+https://github.com/NVlabs/cub.git'
'git+https://github.com/onnx/onnx-tensorrt.git'
'git+https://github.com/onnx/onnx.git'
'git+https://github.com/pybind/pybind11.git'
'git+https://github.com/google/benchmark.git'
"https://github.com/google/protobuf/releases/download/v${_protobuf_ver}/protobuf-cpp-${_protobuf_ver}.tar.gz"
'010-tensorrt-use-local-protobuf-sources.patch'
'020-tensorrt-fix-python.patch')
noextract=("protobuf-cpp-${_protobuf_ver}.tar.gz")
sha256sums=('207c0c4820e5acf471925b7da4c59d48c58c265a27d88287c4263038c389e106'
'SKIP'
'SKIP'
'SKIP'
'SKIP'
'SKIP'
'SKIP'
'SKIP'
'51cec99f108b83422b7af1170afd7aeb2dd77d2bcbb7b6bad1f92509e9ccf8cb'
'ea25bb1b188d53cbfbec35d242ab2a2fa8d6009c547c9f5f67bc2f1ad127ceac'
'10a94e8117e2c0b43de7fdf6f5c1a7fbdd954f8603fe054edd88689d3714e1c2')
prepare() {
# tensorrt git submodules
git -C TensorRT submodule init
git -C TensorRT config --local submodule.parsers/onnx.url "${srcdir}/onnx-tensorrt"
git -C TensorRT config --local submodule.third_party/protobuf.url "${srcdir}/protobuf-protocolbuffers"
git -C TensorRT config --local submodule.third_party/cub.url "${srcdir}/cub-nvlabs"
git -C TensorRT submodule update
# onnx-tensorrt git submodule
git -C TensorRT/parsers/onnx submodule init
git -C TensorRT/parsers/onnx config --local submodule.third_party/onnx.url "${srcdir}/onnx"
git -C TensorRT/parsers/onnx submodule update
# onnx git submodules
git -C TensorRT/parsers/onnx/third_party/onnx submodule init
git -C TensorRT/parsers/onnx/third_party/onnx config --local submodule.third_party/pybind11.url "${srcdir}/pybind11"
git -C TensorRT/parsers/onnx/third_party/onnx config --local submodule.third_party/benchmark.url "${srcdir}/benchmark"
git -C TensorRT/parsers/onnx/third_party/onnx submodule update
# protobuf
mkdir -p build/third_party.protobuf/src
cp -af "protobuf-cpp-${_protobuf_ver}.tar.gz" build/third_party.protobuf/src
patch -d TensorRT -Np1 -i "${srcdir}/010-tensorrt-use-local-protobuf-sources.patch"
patch -d TensorRT -Np1 -i "${srcdir}/020-tensorrt-fix-python.patch"
}
build() {
export CXXFLAGS+=' -ffat-lto-objects'
export LDFLAGS+=' -L/usr/lib'
cmake -B build -S TensorRT \
-DBUILD_ONNX_PYTHON:BOOL='ON' \
-DBUILD_SAMPLES:BOOL='OFF' \
-DCMAKE_BUILD_TYPE:STRING='None' \
-DCMAKE_INSTALL_PREFIX:PATH='/usr' \
-DTRT_LIB_DIR="${srcdir}/TensorRT-${pkgver}/lib" \
-DGPU_ARCHS='52 53 60 61 62 70 72 75 80 86' \
-DPROTOBUF_VERSION="$_protobuf_ver" \
-DCUDA_VERSION="$_cudaver" \
-DCUDNN_VERSION="$_cudnnver" \
-Wno-dev
make -C build
# python bindings
local _pyver
_pyver="$(python -c 'import sys; print("%s.%s" %sys.version_info[0:2])')"
export PYTHON_MAJOR_VERSION="${_pyver%%.*}"
export PYTHON_MINOR_VERSION="${_pyver#*.}"
export TARGET_ARCHITECTURE="$CARCH"
export TRT_OSSPATH="${srcdir}/TensorRT"
export CUDA_ROOT='/opt/cuda'
export ROOT_PATH="${srcdir}/TensorRT"
export EXT_PATH="$srcdir"
export TRT_NONOSS_ROOT="${srcdir}/TensorRT-${pkgver}"
cd TensorRT/python
./build.sh
# python tools (pytorch-quantization currently fails to build)
local _dir
for _dir in onnx-graphsurgeon Polygraphy #pytorch-quantization
do
cd "${srcdir}/TensorRT/tools/${_dir}"
python setup.py build
done
# license
pdftotext -layout "${srcdir}/TensorRT-${pkgver}/doc/pdf/TensorRT-SLA.pdf"
}
package_tensorrt() {
depends=('cuda' 'cudnn')
make -C build DESTDIR="$pkgdir" install
install -D -m755 "TensorRT-${pkgver}/bin"/* -t "${pkgdir}/usr/bin"
install -D -m644 build/libnv{caffeparser,infer_plugin}_static.a -t "${pkgdir}/usr/lib"
cp -dr --no-preserve='ownership' "TensorRT-${pkgver}/include" "${pkgdir}/usr"
cp -dr --no-preserve='ownership' "TensorRT-${pkgver}/lib"/libnvinfer_builder_resource.so* "${pkgdir}/usr/lib"
cp -dr --no-preserve='ownership' "TensorRT-${pkgver}/lib"/libnv{infer,parsers}{.so*,_static.a} "${pkgdir}/usr/lib"
install -D -m644 "TensorRT-${pkgver}/doc/pdf/TensorRT-SLA.txt" "${pkgdir}/usr/share/licenses/${pkgname}/LICENSE"
install -D -m644 "TensorRT-${pkgver}/doc/Acknowledgements.txt" "${pkgdir}/usr/share/licenses/${pkgname}/ACKNOWLEDGEMENTS"
install -D -m644 TensorRT/NOTICE -t "${pkgdir}/usr/share/licenses/${pkgname}"
}
package_python-tensorrt() {
pkgdesc+=' (python bindings and tools)'
depends=('python' 'python-numpy' 'python-pycuda' 'tensorrt')
optdepends=('python-onnx: for onnx_graphsurgeon python module'
'python-onnxruntime: for onnx_graphsurgeon and polygraphy python modules'
'python-protobuf: for polygraphy and uff python modules'
'python-tensorflow-cuda: for graphsurgeon, polygraphy and uff python modules and convert-to-uff tool')
local _pyver
_pyver="$(python -c 'import sys; print("%s.%s" %sys.version_info[0:2])')"
local _trt_major
local _trt_minor
local _trt_patch
local _trt_build
_trt_major="$(awk '/^#define NV_TENSORRT_MAJOR/ { print $3 }' TensorRT/include/NvInferVersion.h)"
_trt_minor="$(awk '/^#define NV_TENSORRT_MINOR/ { print $3 }' TensorRT/include/NvInferVersion.h)"
_trt_patch="$(awk '/^#define NV_TENSORRT_PATCH/ { print $3 }' TensorRT/include/NvInferVersion.h)"
_trt_build="$(awk '/^#define NV_TENSORRT_BUILD/ { print $3 }' TensorRT/include/NvInferVersion.h)"
local _trtver="${_trt_major}.${_trt_minor}.${_trt_patch}.${_trt_build}"
PIP_CONFIG_FILE='/dev/null' pip install --isolated --root="$pkgdir" --ignore-installed --no-deps --no-warn-script-location \
"TensorRT-${pkgver}/graphsurgeon/graphsurgeon-${_graphsurgeonver}-py2.py3-none-any.whl" \
"TensorRT-${pkgver}/uff/uff-${_uffver}-py2.py3-none-any.whl" \
"TensorRT/python/build/dist/tensorrt-${_trtver}-cp${_pyver%%.*}${_pyver#*.}-none-linux_${CARCH}.whl"
python -O -m compileall "${pkgdir}/usr/lib/python${_pyver}/site-packages"/{graphsurgeon,uff,tensorrt}
local _dir
for _dir in onnx-graphsurgeon Polygraphy #pytorch-quantization
do
cd "${srcdir}/TensorRT/tools/${_dir}"
python setup.py install --root="$pkgdir" --skip-build --optimize='1'
done
install -d -m755 "${pkgdir}/usr/share/licenses/${pkgname}"
ln -s "../../../lib/python${_pyver}/site-packages/tensorrt-${pkgver}.dist-info/LICENSE.txt" \
"${pkgdir}/usr/share/licenses/${pkgname}/LICENSE"
install -D -m644 "${srcdir}/TensorRT-${pkgver}/doc/Acknowledgements.txt" "${pkgdir}/usr/share/licenses/${pkgname}/ACKNOWLEDGEMENTS"
install -D -m644 "${srcdir}/TensorRT/NOTICE" -t "${pkgdir}/usr/share/licenses/${pkgname}"
}
package_tensorrt-doc() {
pkgdesc+=' (documentation)'
arch=('any')
license=('custom:NVIDIA-SLA')
install -D -m644 "TensorRT-${pkgver}/doc/pdf/TensorRT-Developer-Guide.pdf" -t "${pkgdir}/usr/share/doc/${pkgbase}"
install -D -m644 "TensorRT-${pkgver}/doc/pdf/TensorRT-Quick-Start-Guide.pdf" -t "${pkgdir}/usr/share/doc/${pkgbase}"
install -D -m644 "TensorRT-${pkgver}/doc/pdf/TensorRT-Support-Matrix-Guide.pdf" -t "${pkgdir}/usr/share/doc/${pkgbase}"
cp -dr --no-preserve='ownership' "TensorRT-${pkgver}/doc"/{cpp,python} "${pkgdir}/usr/share/doc/${pkgbase}"
install -D -m644 "TensorRT-${pkgver}/doc/pdf/TensorRT-SLA.txt" "${pkgdir}/usr/share/licenses/${pkgname}/LICENSE"
install -D -m644 "TensorRT-${pkgver}/doc/Acknowledgements.txt" "${pkgdir}/usr/share/licenses/${pkgname}/ACKNOWLEDGEMENTS"
}
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