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pkgbase = tensorrt
pkgdesc = A platform for high-performance deep learning inference on NVIDIA hardware
pkgver = 10.0.0.6
pkgrel = 1
url = https://developer.nvidia.com/tensorrt/
arch = x86_64
license = LicenseRef-NVIDIA-TensorRT-SLA
license = Apache-2.0
makedepends = git
makedepends = cmake
makedepends = cuda
makedepends = cudnn
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/10.0.0/tensorrt-10.0.0.6.linux.x86_64-gnu.cuda-12.4.tar.gz
source = git+https://github.com/NVIDIA/TensorRT.git#commit=28733f0fdccde2967fed395b06ca491af3a561a9
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 = TensorRT-SLA.txt
sha256sums = 0e35729954681411a79ccf31df089523caa11838095fbd025ddc7cd6f73f02de
sha256sums = f04165db2cb23084fe39a0f520da58c651098330bf62688df9a27b5c1ae77134
sha256sums = SKIP
sha256sums = SKIP
sha256sums = SKIP
sha256sums = SKIP
sha256sums = SKIP
sha256sums = SKIP
sha256sums = dddd73664306d7d895a95e1cf18925b31b52785e468727e4635b45edae5166f9
sha256sums = ba94c0685216fe9566f7989df98b372e72a8da04b66d64380024107f2f7f4a8f
sha256sums = 4ef20e02ad3093f214838ce2bcc5d032541fb3829e6ad764fd72c4129d86fdd2
sha256sums = 5f68360b4ac4758d207e30fec89c5e829d45bb4c27cae99e3fa6d2b170789370
pkgname = tensorrt
depends = cuda
depends = cudnn
pkgname = python-tensorrt
pkgdesc = A platform for high-performance deep learning inference on NVIDIA hardware (python bindings and tools)
license = LicenseRef-Custom
license = Apache
depends = python
depends = python-numpy
depends = tensorrt
optdepends = python-onnx: for onnx_graphsurgeon python module
optdepends = python-onnxruntime: for onnx_graphsurgeon and polygraphy python modules
optdepends = python-protobuf: for polygraphy and tensorflow-quantization python modules
optdepends = python-tensorflow-cuda: for polygraphy python module
optdepends = python-tf2onnx: for tensorflow-quantization python module
provides = python-onnx-graphsurgeon=0.5.1
provides = python-polygraphy=0.49.9
provides = python-tensorflow-quantization=0.2.0
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