Imagine i have trained a bunch of models and saved them into one file. A couple of days later, i start a new session and train a new model. This model i want to append to the file that i created previously. In order to do this, i would have to load the entire file via torch.load, then append the new model to the loaded dict, then save the file anew. This can be a problem e.g. when the total loaded dict does not fit into the working memory