def __init__(self, p: LSNNParameters = LSNNParameters(), **kwargs):
super().__init__(
activation=lsnn_feed_forward_step,
state_fallback=self.initial_state,
p=p,
**kwargs,
)
def __init__(self,
input_size: int,
hidden_size: int,
p: LSNNParameters = LSNNParameters(),
**kwargs):
super().__init__(
activation=lsnn_step,
state_fallback=self.initial_state,
input_size=input_size,
hidden_size=hidden_size,
p=p,
**kwargs,
)