How are the results indicating that the training is being continued?
If you checked, that the models have different parameters, could you just pass a tensor with all ones through the trained model and the randomly initialized model and compare the outputs?
I assume both the generator and discriminator are copied?
Do you also create new optimizers for each GAN?