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Package Details: python-tensorrt 10.14.1.48-1
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| Git Clone URL: | https://aur.archlinux.org/tensorrt.git (read-only, click to copy) |
|---|---|
| Package Base: | tensorrt |
| Description: | A platform for high-performance deep learning inference on NVIDIA hardware (python bindings and tools) |
| Upstream URL: | https://developer.nvidia.com/tensorrt/ |
| Keywords: | ai artificial intelligence nvidia |
| Licenses: | Apache-2.0 AND LicenseRef-TensorRT-LICENSE-AGREEMENT AND LicenseRef-Python-TensorRT-LICENSE-AGREEMENT |
| Provides: | python-onnx-graphsurgeon, python-polygraphy, python-tensorflow-quantization |
| Submitter: | dbermond |
| Maintainer: | dbermond |
| Last Packager: | dbermond |
| Votes: | 21 |
| Popularity: | 0.151310 |
| First Submitted: | 2018-07-29 16:17 (UTC) |
| Last Updated: | 2025-11-08 20:20 (UTC) |
Dependencies (25)
- gcc-libs (gcc-libs-gitAUR, gccrs-libs-gitAUR, gcc-libs-snapshotAUR)
- glibc (glibc-gitAUR, glibc-eacAUR)
- python
- python-numpy (python-numpy-gitAUR, python-numpy1AUR, python-numpy-mkl-binAUR, python-numpy-mkl-tbbAUR, python-numpy-mklAUR)
- tensorrtAUR
- cmake (cmake3AUR, cmake-gitAUR) (make)
- cuda (cuda11.1AUR, cuda-12.2AUR, cuda12.0AUR, cuda11.4AUR, cuda11.4-versionedAUR, cuda12.0-versionedAUR, cuda-12.5AUR, cuda-12.9AUR) (make)
- cudnn (cudnn9.10-cuda12.9AUR) (make)
- git (git-gitAUR, git-glAUR) (make)
- nvidia-utils (nvidia-410xx-utilsAUR, nvidia-440xx-utilsAUR, nvidia-430xx-utilsAUR, nvidia-340xx-utilsAUR, nvidia-510xx-utilsAUR, nvidia-utils-teslaAUR, nvidia-470xx-utilsAUR, nvidia-550xx-utilsAUR, nvidia-390xx-utilsAUR, nvidia-vulkan-utilsAUR, nvidia-535xx-utilsAUR, nvidia-utils-betaAUR, nvidia-525xx-utilsAUR) (make)
- python (make)
- python-build (make)
- python-installer (make)
- python-ml-dtypes (make)
- python-onnx (make)
- python-setuptools (make)
- python-typing_extensions (make)
- python-wheel (make)
- python-coloredAUR (optional) – for onnx_graphsurgeon and polygraphy python modules
- python-ml-dtypes (optional) – for onnx_graphsurgeon python module
- Show 5 more dependencies...
Required by (1)
Sources (12)
- 010-tensorrt-use-local-protobuf-sources.patch
- 020-tensorrt-fix-python.patch
- cub-nvlabs
- git+https://github.com/google/benchmark.git
- git+https://github.com/NVIDIA/TensorRT.git#tag=v10.14
- git+https://github.com/onnx/onnx-tensorrt.git
- git+https://github.com/onnx/onnx.git
- git+https://github.com/protocolbuffers/protobuf.git
- git+https://github.com/pybind/pybind11.git
- https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.14.1/tars/TensorRT-10.14.1.48.Linux.x86_64-gnu.cuda-13.0.tar.gz
- https://github.com/google/protobuf/releases/download/v3.20.1/protobuf-cpp-3.20.1.tar.gz
- TensorRT-LICENSE-AGREEMENT.txt
Latest Comments
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feiticeir0 commented on 2023-03-14 00:42 (UTC) (edited on 2023-03-14 00:46 (UTC) by feiticeir0)
I'm getting the following error:
I've downgraded CUDA and CUDNN to match the tensorRT version, but now this is happening.. Any hints ?
does not exits, but instead there is lib64
Even if I create a symlink to lib, it does not work... Thank you
Smoolak commented on 2023-03-10 17:20 (UTC)
Oh ok. Look like I've been very unlucky and decided to install this on the wrong day. CUDA was just updated in the repos, yesterday's version is working fine. I downgraded my system using the Arch Linux Archive.
Smoolak commented on 2023-03-10 16:48 (UTC)
I'm getting this error:
Baytars commented on 2022-12-16 15:52 (UTC) (edited on 2022-12-16 15:53 (UTC) by Baytars)
@thoth You can refer to my workaround solution below.
thoth commented on 2022-12-16 15:38 (UTC)
Mine fails with:
dbermond commented on 2022-12-10 16:00 (UTC)
@otakutyrant license prohibits the package distribution. Unless Nvidia grants the package distribution within Arch Linux, we cannot do it.
dbermond commented on 2022-12-10 15:56 (UTC)
@Baytars It may be. You can always build the package in a clean chroot to make sure that it builds fine. This is how all official repository packages are built, and I build all my packages in this way.
otakutyrant commented on 2022-12-07 16:14 (UTC)
This package is more unpopular than I thought. It should be in official packages.
Baytars commented on 2022-12-01 08:08 (UTC)
@dbermond Is it related to using virtual environment in Anaconda? The output log showed that, instead of the system Python distribution, the Python path it found was that managed by Anaconda, which I use routinely. So despite the existence of makedepends, PKGBUILD could not find the dependencies in the virtual environment.
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