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Package Details: python-tensorrt 10.7.0.23-1
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Git Clone URL: | https://aur.archlinux.org/tensorrt.git (read-only, click to copy) |
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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, LicenseRef-custom |
Provides: | python-onnx-graphsurgeon, python-polygraphy, python-tensorflow-quantization |
Submitter: | dbermond |
Maintainer: | dbermond |
Last Packager: | dbermond |
Votes: | 20 |
Popularity: | 0.54 |
First Submitted: | 2018-07-29 16:17 (UTC) |
Last Updated: | 2024-12-07 14:13 (UTC) |
Dependencies (18)
- python (python37AUR, python311AUR, python310AUR)
- python-numpy (python-numpy-flameAUR, python-numpy-gitAUR, python-numpy1AUR, python-numpy-mkl-binAUR, python-numpy-mkl-tbbAUR, python-numpy-mklAUR)
- tensorrtAUR
- cmake (cmake-gitAUR) (make)
- cuda (cuda11.1AUR, cuda-12.2AUR, cuda12.0AUR, cuda11.4AUR, cuda11.4-versionedAUR, cuda12.0-versionedAUR) (make)
- cudnn (make)
- git (git-gitAUR, git-glAUR) (make)
- python (python37AUR, python311AUR, python310AUR) (make)
- python-build (make)
- python-installer (python-installer-gitAUR) (make)
- python-onnx (make)
- python-setuptools (make)
- python-wheel (make)
- python-onnx (optional) – for onnx_graphsurgeon python module
- python-onnxruntime (python-onnxruntime-opt, python-onnxruntime-opt-rocm, python-onnxruntime-rocm) (optional) – for onnx_graphsurgeon and polygraphy python modules
- python-protobuf (python-protobuf-gitAUR) (optional) – for polygraphy and tensorflow-quantization python modules
- python-tensorflow-cuda (python-tensorflow-cuda-gitAUR, python-tensorflow-opt-cuda) (optional) – for polygraphy python module
- python-tf2onnxAUR (optional) – for tensorflow-quantization python module
Required by (1)
Sources (13)
- 010-tensorrt-use-local-protobuf-sources.patch
- 020-tensorrt-fix-python.patch
- 030-tensorrt-onnx-tensorrt-disable-missing-source-file.patch
- cub-nvlabs
- git+https://github.com/google/benchmark.git
- git+https://github.com/NVIDIA/TensorRT.git#tag=v10.7.0
- git+https://github.com/onnx/onnx-tensorrt.git
- git+https://github.com/onnx/onnx.git
- git+https://github.com/pybind/pybind11.git
- https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.7.0/tars/TensorRT-10.7.0.23.Linux.x86_64-gnu.cuda-12.6.tar.gz
- https://github.com/google/protobuf/releases/download/v3.20.1/protobuf-cpp-3.20.1.tar.gz
- protobuf-protocolbuffers
- TensorRT-SLA.txt
Latest Comments
« First ‹ Previous 1 2 3 4 5 6 7 8 9 10 Next › Last »
DavTheRaveUK commented on 2023-05-03 13:24 (UTC)
I followed your instructions only to be met with the following error:
==> ERROR: 010-tensorrt-use-local-protobuf-sources.patch was not found in the build directory and is not a URL.
What gives?
feiticeir0 commented on 2023-03-19 10:23 (UTC)
@dbermond Thank you ! Just compiled well ! Now Tensorflow is finally working with Nvidia GPU.
dbermond commented on 2023-03-18 19:42 (UTC)
@Smoolak @feiticeir0 Package updated. Building fine for me now. The current version supports cuda 12.0.
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.
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