Issue running joint_monkey example

Hi, when I try to run the joint_monkey example on my machine (Ubuntu 20.04), it shows the error messages below:

Importing module 'gym_38' (/home/tc/WorkspaceRL/isaacgym/python/isaacgym/_bindings/linux-x86_64/gym_38.so)
Setting GYM_USD_PLUG_INFO_PATH to /home/tc/WorkspaceRL/isaacgym/python/isaacgym/_bindings/linux-x86_64/usd/plugInfo.json
WARNING: Forcing CPU pipeline.
Not connected to PVD
+++ Using GPU PhysX
Physics Engine: PhysX
Physics Device: cuda:0
GPU Pipeline: disabled
Segmentation fault (core dumped)

My nvdia-smi returns this:

Tue May 16 07:25:14 2023       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 525.116.04   Driver Version: 525.116.04   CUDA Version: 12.0     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  NVIDIA GeForce ...  Off  | 00000000:01:00.0  On |                  N/A |
| N/A   43C    P8     4W / 100W |    162MiB /  8188MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|    0   N/A  N/A      1216      G   /usr/lib/xorg/Xorg                133MiB |
|    0   N/A  N/A      2317      G   /usr/lib/xorg/Xorg                 26MiB |
+-----------------------------------------------------------------------------+

Thank you!

I meet the same problem.Have you solved it?

So make sure you have the right Driver, CUDA, and cuDNN versions. Mine for reference:

Driver: 535.54.03
CUDA: CUDA 11.8
cuDNN: 8.9.0 (maybe? I forgot)

Use the driver that is compatible with your graphic card though.