in train_helpers.py [0:0]
def update_ema(vae, ema_vae, ema_rate): for p1, p2 in zip(vae.parameters(), ema_vae.parameters()): p2.data.mul_(ema_rate) p2.data.add_(p1.data * (1 - ema_rate))