Semi-related, what happens if I only use half the GPU with the main script, but then run that main script twice with two different sets of hyperparameters? Does that mess with PyTorch’s CUDA allocation (and lead to continually reallocating and what not)? Or will it just use half the GPU correctly and not cause much problems? Or is the specifics of the situation too complicated to give a short answer to this?