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Package Details: python-tensorrt 10.7.0.23-2
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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 tools) |
Upstream URL: | https://developer.nvidia.com/tensorrt/ |
Keywords: | ai artificial intelligence nvidia |
Licenses: | Apache-2.0 |
Provides: | python-onnx-graphsurgeon, python-polygraphy, python-tensorflow-quantization |
Submitter: | dbermond |
Maintainer: | dbermond |
Last Packager: | dbermond |
Votes: | 20 |
Popularity: | 0.23 |
First Submitted: | 2018-07-29 16:17 (UTC) |
Last Updated: | 2024-12-25 17:37 (UTC) |
Dependencies (18)
- python (python37AUR, python311AUR, python310AUR)
- python-numpy (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 (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 .. 10 Next › Last »
milianw commented on 2024-07-25 08:57 (UTC)
there's now tensorrt 10.2.0.19 with cuda 12.5 support, this package could be updated accordingly
FuzzyAtish commented on 2024-05-24 19:41 (UTC)
Thank you for great and speedy answer. I should've probably searched for the issue a bit, apologies for being lazy
dbermond commented on 2024-05-24 19:28 (UTC)
@FuzzyAtish TLDR: it fails to build against cuda 12.5, downgrade cuda to 12.4.1 and it will work. The long story: there are two issues regarding this. Firstly, tensorrt 10.0.1 apparently does not support cuda 12.5, as you can see in the upstream documentation. Secondly, cuda 12.5 is not supported by the current version of the nvidia drivers that are available in the official repositories (cuda 12.5 was pushed without a driver that supports it), and you can read more details about this in the Arch Linux cuda package issues page at this link.
FuzzyAtish commented on 2024-05-24 17:52 (UTC)
I'm getting the following error when building
dbermond commented on 2024-04-04 18:45 (UTC)
@tbb @qsthy this is an issue with the python-onnx package, as it needs a rebuild against latest protobuf. The latest protobuf version did not have a soname version bump, but it seems to be ABI incompatible, thus needing a rebuild of some dependent packages. I've talked to the maintainer, and a fixed version is currently in [extra-testing]. Either wait for it to leave [extra-testing], or enable this repository. I've tested, and it's building fine with it.
qsthy commented on 2024-03-28 13:26 (UTC)
Concur, same build failure happens here. Looking it up on the Web it appears to be an issue with onnx and/or the the onnx/protobuf combination, see for example https://github.com/onnx/onnx/issues/4704
In case it matters I already have on my machine extra/protobuf and aur/anaconda installed.
tbb commented on 2024-03-26 05:51 (UTC) (edited on 2024-03-26 05:52 (UTC) by tbb)
can't build [code] ImportError: /usr/lib/python3.11/site- packages/onnx/onnx_cpp2py_export.cpython-311-x86_64-linux-gnu.so: undefined symbol: _ZN6google8protobuf8internal17AssignDescriptorsEPFPKNS1_15DescriptorTableEvEPN4absl12lts_202308029once_flagERKNS0_8MetadataE [/code]
dbermond commented on 2024-01-18 02:46 (UTC)
@gbin This warning is not related to the package itself. It means that the underlying makepkg command invoked by the AUR helper is not doing a clean build. Again, AUR helpers are not supported, use makepkg.
gbin commented on 2024-01-10 15:52 (UTC) (edited on 2024-01-10 15:53 (UTC) by gbin)
@dbermond Interestingly, something changed and it started to work with paru. Thank you for maintaining the package. It gives out a warning during install maybe the flakiness is related to it?
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