def __init__()

in sparse_autoencoder/train.py [0:0]


    def __init__(self, model, ema_multiplier):
        self.model = model
        self.ema_multiplier = ema_multiplier
        self.ema_weights = [torch.zeros_like(x, requires_grad=False) for x in model.parameters()]
        self.ema_steps = 0