i saw somebody else with a large prosthesis and again engaged some prosthesis project energy :D i've learned more about dissociation and i took it very slowly and made very tiny moving-forward progress :} i made 11 practices of very simple metamodel behavior (holding idea of a prosthetic limb could use a low-end chip to learn to adapt to an owner's changing signals some day) [metamodel work is the hardest part of the project design for me] attached is the dependency file i made toward the end. grad output untested but i've figured out how to make it work if it doesn't. the grid search was just to figure out what hyperparameters could make a successful sin(x) model (it was my synthesis test), i didn't do any other grid search yet this uses a high-level class from torch.nn but i have since learned there is more now in the newer torchtune package. but its one way to abstract the idea away. the make_settable() etc methods let one use the weights of one model in the training graph of another without crashing pytorch by letting the user specify when this is or isn't happening and what the role is it's just been very hard for me to try any of this at all up until now