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pkgbase = tensorrt
	pkgdesc = A platform for high-performance deep learning inference on NVIDIA hardware
	pkgver = 10.9.0.34
	pkgrel = 2
	url = https://developer.nvidia.com/tensorrt/
	arch = x86_64
	license = Apache-2.0
	license = LicenseRef-NVIDIA-SOFTWARE-DEVELOPMENT-KITS
	makedepends = cmake
	makedepends = cuda
	makedepends = cudnn
	makedepends = git
	makedepends = python
	makedepends = python-build
	makedepends = python-installer
	makedepends = python-onnx
	makedepends = python-setuptools
	makedepends = python-wheel
	noextract = protobuf-cpp-3.20.1.tar.gz
	source = https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.9.0/tars/TensorRT-10.9.0.34.Linux.x86_64-gnu.cuda-12.8.tar.gz
	source = git+https://github.com/NVIDIA/TensorRT.git#tag=v10.9.0
	source = protobuf-protocolbuffers::git+https://github.com/protocolbuffers/protobuf.git
	source = cub-nvlabs::git+https://github.com/NVlabs/cub.git
	source = git+https://github.com/onnx/onnx-tensorrt.git
	source = git+https://github.com/onnx/onnx.git
	source = git+https://github.com/pybind/pybind11.git
	source = git+https://github.com/google/benchmark.git
	source = https://github.com/google/protobuf/releases/download/v3.20.1/protobuf-cpp-3.20.1.tar.gz
	source = 010-tensorrt-use-local-protobuf-sources.patch
	source = 020-tensorrt-fix-python.patch
	source = 030-tensorrt-fix-gpu-archs-list.patch
	source = 040-tensorrt-python-cmake4-fix.patch
	source = TensorRT-LICENSE-AGREEMENT.txt
	sha256sums = 33be0e61e3bf177bbbcabb4892bf013f0c8ac71d2be73f2803848a382cb14272
	sha256sums = 86081c7f10f4fc6d7e520eb960e5d679eeaf946e3e78bd4ee3d949edbde60b5f
	sha256sums = SKIP
	sha256sums = SKIP
	sha256sums = SKIP
	sha256sums = SKIP
	sha256sums = SKIP
	sha256sums = SKIP
	sha256sums = dddd73664306d7d895a95e1cf18925b31b52785e468727e4635b45edae5166f9
	sha256sums = ba94c0685216fe9566f7989df98b372e72a8da04b66d64380024107f2f7f4a8f
	sha256sums = 3bedc30fcfa6bdbae9f42cb66df8207655a3d4c901eb31dcd0186c834f619bcf
	sha256sums = 901f4d365a15adf741262cdf9c4e8a07e73ae70854bd2fc90b1b80d0cb4d3fdf
	sha256sums = 12a0f7e9c6a86eefd9b365d23b027c6bc65a2284c75edc0398620bb8711419dd
	sha256sums = 64907f271b91655a28f3c9f3555a3c645b23d878f41063192a9d2a67f752205a

pkgname = tensorrt
	depends = cuda
	depends = cudnn
	depends = gcc-libs
	depends = glibc

pkgname = python-tensorrt
	pkgdesc = A platform for high-performance deep learning inference on NVIDIA hardware (python bindings and tools)
	license = Apache-2.0
	license = LicenseRef-NVIDIA-SOFTWARE-DEVELOPMENT-KITS
	license = LicenseRef-Custom
	depends = gcc-libs
	depends = glibc
	depends = python
	depends = python-numpy
	depends = tensorrt
	optdepends = python-colored: for onnx_graphsurgeon and polygraphy python modules
	optdepends = python-ml-dtypes: for onnx_graphsurgeon python module
	optdepends = python-onnx: for onnx_graphsurgeon python module
	optdepends = python-onnxruntime: for onnx_graphsurgeon python module
	optdepends = python-protobuf: for polygraphy python modules
	optdepends = python-tensorflow-cuda: for polygraphy and tensorflow-quantization python modules
	optdepends = python-tf2onnx: for tensorflow-quantization python module
	provides = python-onnx-graphsurgeon=0.5.6
	provides = python-polygraphy=0.49.20
	provides = python-tensorflow-quantization=0.2.0