To get the predictions of the model (assuming you are using a validation or test dataset), you would not “unnormalize” the data, but would use the running stats instead by calling model.eval().
During training the internal stats (stored in .running_mean and .running_var in batchnorm layers) will be updated with a specified momentum and the current batch stats.