Hi, I really Love Isaac Gym’s Reinforcement Learning Service, this is incredible.
I want to have a learned model and implement it into reality.
I think the pth file is saved as set_dof_action_force_tensor and I wonder how to load the trained pth to send this signal to DAQ such as Arduino, Raspberry Pi, or Jetson.
I’ve been looking at pytorch’s save & load to implement this, but I’m not sure how to do with
model = MyModel() for
How do I load the learned pth and convert it to torque output data ?
(I referred CartPole example from GitHub - NVIDIA-Omniverse/IsaacGymEnvs: Isaac Gym Reinforcement Learning Environments)