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Description
I use the env setting of dexhands as u said in readme,and it worked when i run a test on gpu0,but when i changed CUDA_VISIBLE_DEVICES=1,the logs goes to like this: the same like when I used gpu0
Importing module 'gym_38' (/home/yz/rl/isaacgym/python/isaacgym/_bindings/linux-x86_64/gym_38.so)
Setting GYM_USD_PLUG_INFO_PATH to /home/yz/rl/isaacgym/python/isaacgym/_bindings/linux-x86_64/usd/plugInfo.json
choose to use gpu...
PyTorch version 2.4.1+cu121
Device count 1
/home/yz/rl/isaacgym/python/isaacgym/_bindings/src/gymtorch
Using /home/yz/.cache/torch_extensions/py38_cu121 as PyTorch extensions root...
Emitting ninja build file /home/yz/.cache/torch_extensions/py38_cu121/gymtorch/build.ninja...
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...
Averaging factor:  0.01
Not connected to PVD
+++ Using GPU PhysX
Physics Engine: PhysX
Physics Device: cuda:0
GPU Pipeline: enabled
but the terminal shows 段错误 (核心已转储) ,then the process ended.