Open wang414 opened 2 months ago
i meet the same issue when i run python legged_gym/scripts/train.py --task a1_leap
Building extension module gymtorch... Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) ninja: no work to do. Loading extension module gymtorch... Setting seed: 1 Using LeggedRobotField.init, num_obs and num_privileged_obs will be computed instead of assigned. Not connected to PVD +++ Using GPU PhysX Physics Engine: PhysX Physics Device: cuda:0 GPU Pipeline: enabled Segmentation fault (core dumped) My GPU is 4090 torch==2.0.0+cu118 torchvision==0.15.0+cu118 torchaudio==2.0.0+cu118
i meet the same issue when i run python legged_gym/scripts/train.py --task a1_leap
Building extension module gymtorch... Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) ninja: no work to do. Loading extension module gymtorch... Setting seed: 1 Using LeggedRobotField.init, num_obs and num_privileged_obs will be computed instead of assigned. Not connected to PVD +++ Using GPU PhysX Physics Engine: PhysX Physics Device: cuda:0 GPU Pipeline: enabled Segmentation fault (core dumped) My GPU is 4090 torch==2.0.0+cu118 torchvision==0.15.0+cu118 torchaudio==2.0.0+cu118
It seems you forgot to add --headless
argument in a headless server?
Thanks for your excellent work. I am facing segmentation fault while running
python legged_gym/scripts/collect.py --headless --task a1_distill
. I traced back for the problem, and found that it was caused by the forward_depth observation when the code is creating for the environment. Do you have any idea about it.My GPU is A100-40G, pytorch version is 1.10.0+cu113.
If it is the depth rendering problem, please make sure *Cfg.sim.no_camera
is set to False
in your config file.
Thanks for your excellent work. I am facing segmentation fault while running
python legged_gym/scripts/collect.py --headless --task a1_distill
. I traced back for the problem, and found that it was caused by the forward_depth observation when the code is creating for the environment. Do you have any idea about it.My GPU is A100-40G, pytorch version is 1.10.0+cu113.