I have a model which was trained on version 0.4, and I wanted to use the weights directly in the latest  version (1.6). From what I read, this should not be an issue since the stored model weights are backward compatible. However, I see a difference in the values across the versions with the older version giving slightly higher value. I think this is due to the nn.Upsample() layer that is used by the model. Is there some way by which I can make the values consistent across the two versions?