Currently, if the dimensions of the tensor don’t match, then _load_from_state_dict() will ignore that tensor. However, I want it to try and copy the parameters anyway. For example, I may change the dimension of a tensor from (10, 100) to (10, 110). I would still like to copy over the first 100 columns of the tensor as starting values.