This is with regards to GitHub - NVIDIA-Omniverse/IsaacGymEnvs: Isaac Gym Reinforcement Learning Environments
I am also using IsaacGym Preview 3.
rl_device and sim_device works for me,
but for graphics_device_id I do not have any idea how to go about setting this, so far it’s been defaulting to be cuda:0 GPU in a 4-GPU workstation regardless of what I parse.
I have also tried lspci giving me
d8:00.0 VGA compatible controller: NVIDIA Corporation Device 2206 (rev a1)
and then doing something like
python train.py task=ShadowHand headless=True graphics_device_id=d8:00.0
Would really appreciate some help!