Hi. I’m new to isaac gym and I’m trying to run some simple code like this: gym.refresh_actor_root_state_tensor(sim) ... gym.set_actor_root_state_tensor(sim, _saved_tensor) and I got an error like this: [Error] [carb.gym.plugin] Gym cuda error: no kernel image is available for execution on the dev…

Thanks for your reply. I run the 1080_balls_of_solitude.py and it seems fine. [1638847134] Then I run apply_forces.py and the same error occurs: [Error] [carb.gym.plugin] Gym cuda error: no kernel image is available for execution on the device: ../../../source/plugins/carb/gym/impl/Gym/GymPhysXC…

[image] moonout: I run the 1080_balls_of_solitude.py and it seems fine. 1080_balls_of_solitude.py should not work on gpu pipeline. How?

Did you modify the source code? (isaac) sa@Fossa:~/wsp/isaac_3/isaacgym/python/examples$ python apply_forces.py --pipeline gpu Importing module ‘gym_38’ (/home/sa/wsp/isaac_3/isaacgym/python/isaacgym/_bindings/linux-x86_64/gym_38.so) Setting GYM_USD_PLUG_INFO_PATH to /home/s/wsp/isaac_3/isaacgym/…

No, I didn’t realize 1080_balls_of_solitude.py is cpu-only… Now it seems I run 1080_balls_of_solitude.py with cpu pipeline. I still can’t run apply_forces.py normally. (btw, I didn’t modify any source code)

[image] DDPG7: PyTorch version 1.8.2+cu111 How about replacing it with this? Is NVIDIA-SMI working?

Your setup versions all look very recent. Try downgrading PyTorch to 1.8 or 1.9, and make sure you are able to run PyTorch on GPU without using Isaac Gym first. It could be a versioning issue between the driver, CUDA, and PyTorch.

Hi. I have the same problem. I can run CPU-supported examples well, but in apply_forces.py I have same error. [Error] [carb.gym.plugin] Gym cuda error: no kernel image is available for execution on the device: ../../../source/plugins/carb/gym/impl/Gym/GymPhysXCuda.cu: 926 [Error] [carb.gym.plugin] …

[image] korbash: but in 1080_balls_of_solitude.py I have same error. Everyone is pretty confused. 1080_balls_of_solitude.py should not work on gpu pipeline.

O sorry i messed up, I meant apply_forces.py . I will edit first post.

Is it an Ubuntu problem? You can check the current kernel version of your system with the following command. uname -r My kernel version is “5.11.0-41-generic”. Or, ‘NVIDIA GeForce GTX 745’

Gym cuda error: no kernel image is available for execution on the device

Robotics & Edge Computing Robotics - Isaac Isaac Gym

shha_419 July 15, 2024, 9:05am 22

Is this error solved? I’m facing this issue also…

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Gym cuda error: no kernel image is available for execution on the device

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