Hello, I’m currently working on a xavier AGX with Jetpack version 5.0.2, but because of lack of hard disk space I can’t install l4t-ml:r35.1.0-py3 image on the xavier, so I’m using l4t-ml:r32.7.1-py3 (for Jetpack Version 4.6.1).
When running the container with sudo docker run -it --rm --runtime nvidia --network host nvcr.io/nvidia/l4t-ml:r32.7.1-py3
and trying to import tensorflow inside of python
/# python3
>>> import tensorflow
I get the following error:
2022-10-07 08:00:35.878373: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2022-10-07 08:00:35.878827: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'libcudart.so.10.2'; dlerror: libcudart.so.10.2: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/cuda/lib64:/usr/local/cuda-10.2/targets/aarch64-linux/lib:
2022-10-07 08:00:35.878902: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Segmentation fault (core dumped)
My guess is that due to version mismatch this error occurs, am I right in my assumption?