in flowtorch/parameters/dense_autoregressive.py [0:0]
def __init__(
self,
param_shapes: Sequence[torch.Size],
input_shape: torch.Size,
context_shape: Optional[torch.Size],
*,
hidden_dims: Sequence[int] = (256, 256),
nonlinearity: Callable[[], nn.Module] = nn.ReLU,
permutation: Optional[torch.LongTensor] = None,
skip_connections: bool = False,