Hi,
I’ve installed PyTorch 1.10.0+cu113. And pytorch works perfectly with my new 4090.
nvcc -V :12.4
nvidia-smi : 12.3
But with isaac gym I got this error:
‘’’
Traceback (most recent call last):
File “train.py”, line 20, in
train(args)
File “train.py”, line 14, in train
env, env_cfg = task_registry.make_env(name=args.task, args=args)
File “/home/eai/sunyz/unitree_rl_gym/legged_gym/utils/task_registry.py”, line 68, in make_env
env = task_class( cfg=env_cfg,
File “/home/eai/sunyz/unitree_rl_gym/legged_gym/envs/base/legged_robot.py”, line 41, in init
super().init(self.cfg, sim_params, physics_engine, sim_device, headless)
File “/home/eai/sunyz/unitree_rl_gym/legged_gym/envs/base/base_task.py”, line 55, in init
self.create_sim()
File “/home/eai/sunyz/unitree_rl_gym/legged_gym/envs/base/legged_robot.py”, line 204, in create_sim
self._create_envs()
File “/home/eai/sunyz/unitree_rl_gym/legged_gym/envs/base/legged_robot.py”, line 581, in _create_envs
pos[:2] += torch_rand_float(-1., 1., (2,1), device=self.device).squeeze(1)
RuntimeError: The following operation failed in the TorchScript interpreter.
Traceback of TorchScript (most recent call last):
RuntimeError: nvrtc: error: invalid value for --gpu-architecture (-arch)
‘’’
Could you help me to fix this issue?
@suzhelearning1 i am just another user, but is there a particular reason why you are trying to go with Isaac Gym specifically? the reason why i am asking is because Isaac Gym is deprecated and Isaac Lab is now the environment to use:
I am trying to reproduce the results of OmniH2O , in which the authors used Isaac Gym. Thank you for your reminder. I am now going to test in Isaac Lab.
Thank you for your interest in Isaac Lab. To ensure efficient support and collaboration, please submit your topic to its GitHub repo following the instructions provided on Isaac Lab’s Contributing Guidelines regarding discussions, submitting issues, feature requests, and contributing to the project.
We appreciate your understanding and look forward to assisting you.