GPU Pipeline: disabled

Hello,
i tried the examples “python joint_monkey.py” and got error. It told me that GPU Pipeline is disabled. It’s on Ubuntu 18.04.6. GPU works when using PyTorch. How can i enable my GPU pipeline?
I found similar problem in “Isaac Gym is not able to use the GPU” . I tried examples in their own directory but still got error.
Thankful for your help!

Error message as followings:
"
Importing module ‘gym_37’ (/home/yyq/isaacgym/python/isaacgym/_bindings/linux-x86_64/gym_37.so)
Setting GYM_USD_PLUG_INFO_PATH to /home/yyq/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)
"

Result for “nvidia-smi” as followings:
"
Sat Jul 16 20:09:20 2022
±----------------------------------------------------------------------------+
| NVIDIA-SMI 470.57.02 Driver Version: 470.57.02 CUDA Version: 11.4 |
|-------------------------------±---------------------±---------------------+
| 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 | 00000000:03:00.0 Off | N/A |
| 27% 37C P8 11W / 250W | 1MiB / 11019MiB | 0% Default |
| | | N/A |
±------------------------------±---------------------±---------------------+
| 1 NVIDIA GeForce … Off | 00000000:04:00.0 Off | N/A |
| 27% 40C P8 20W / 250W | 17MiB / 11016MiB | 0% Default |
| | | N/A |
±------------------------------±---------------------±---------------------+

±----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 1 N/A N/A 1665 G /usr/lib/xorg/Xorg 15MiB |
±----------------------------------------------------------------------------+
"

1 Like

did you ever resolve this? Having the same issue. Thanks

Try to use NvidiaDriver over 510 version. i updated version 515.76 and the problem solved.