My: jetpack 5.1.4, jetson linux35.6, OpenCV with CUDA4.9.0, Anaconda Python 3.12, torch2.1.0，torchvision0.16.1， But whether in a virtual environment or outside the environment, when I use import tensorrt in Python; Print (tensorrt. __version. __) always gives an error message stating that there is no ‘__version. __’ attribute. I have re burned the jetson system and jetpack multiple times to solve this problem, hoping to resolve my issue. Thank you
Hi,
Here are some suggestions for the common issues:
1. Performance
Please run the below command before benchmarking deep learning use case:
$ sudo nvpmodel -m 0
$ sudo jetson_clocks
2. Installation
Installation guide of deep learning frameworks on Jetson:
- TensorFlow: Installing TensorFlow for Jetson Platform - NVIDIA Docs
- PyTorch: Installing PyTorch for Jetson Platform - NVIDIA Docs
We also have containers that have frameworks preinstalled:
Data Science, Machine Learning, AI, HPC Containers | NVIDIA NGC
3. Tutorial
Startup deep learning tutorial:
- Jetson-inference: Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson
- TensorRT sample: Jetson/L4T/TRT Customized Example - eLinux.org
4. Report issue
If these suggestions don’t help and you want to report an issue to us, please attach the model, command/step, and the customized app (if any) with us to reproduce locally.
Thanks!
Hi,
Could you share the exact command you tried?
We test this on the JetPack 5.1.4 and the command is working:
$ python3
Python 3.8.10 (default, Nov 7 2024, 13:10:47)
[GCC 9.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorrt as trt
>>> trt.__version__
'8.5.2.2'
Thanks.
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