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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 .. 4 5 6 7 8 9 10 Next › Last »
gsiolas commented on 2020-10-06 17:03 (UTC)
Hi, I am getting the following error:
/usr/bin/ld: /home/giorgos/Projects/tensorrt/src/TensorRT-7.2.0.14/lib/libnvinfer_plugin.so: undefined reference to `nvrtcAddNameExpression@libnvrtc.so.11.0' collect2: error: ld returned 1 exit status
any idea? thx
laudney commented on 2020-07-29 20:15 (UTC)
The package builds perfectly. It was completely amateurish mistake on my part. I had anaconda env activated which messed up all the PATHs. Thank you.
dbermond commented on 2020-07-29 18:47 (UTC)
@laudney I cannot see any reasons that may be causing your build failure. The package is building fine here, either by a normal makepkg command and also by building in a clean chroot with devtools. So everything is fine.
But by hearing you say that it cannot find libraries at the standard /usr/lib path (libcudnn.so) and that it cannot find headers at the standard /usr/include path, it looks like that something is really wrong with your system. These paths are standard ones for building on Arch Linux and do not need any additional configuration.
laudney commented on 2020-07-29 09:39 (UTC)
It also can't find cudnn.h out of the box, which exists under /usr/include
laudney commented on 2020-07-29 09:12 (UTC)
@dbermond, Archlinux, makepkg -i
below libraries are not found in the linking stage:
libcublas.so.11 libcudnn.so.8 libnvrtc.so.11.0
all of these are verified to have been installed on my system
Thanks
dbermond commented on 2020-07-28 23:36 (UTC)
@laudney Package is building fine. What's your operating system and what's the command that you're using to build?
laudney commented on 2020-07-28 21:24 (UTC)
When building, it fails to find headers for cudnn under /usr/include and cuBLAS libraries under /opt/cuda/lib64
dbermond commented on 2020-07-25 19:37 (UTC)
dbermond commented on 2020-03-12 16:12 (UTC)
@sl1pkn07 This approach should not be used on PKGBUILDs. It's not makepkg task to to create symbolic links of missing source files.
It's user responsibility to correctly place the sources files in $startdir or in $SRCDEST.
sl1pkn07 commented on 2020-03-11 00:05 (UTC)
Hi
you can use this tip in this package?
https://aur.archlinux.org/cgit/aur.git/tree/PKGBUILD?h=stm32cubeide#n19
this allow use the common XDG download path for add in the search scope and not need to move/copy the file (tensorrt is a little huge) across directories
greetings
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