initialized from \mathcal{U}(-\sqrt{k}, \sqrt{k}), where k =
        \frac{1}{\text{in_features}}
  * **bias** (*torch.nn.parameter.UninitializedParameter*) -- the
    learnable bias of the module of shape (\text{out\_features}).
    If "bias" is "True", the values are initialized from
    \mathcal{U}(-\sqrt{k}, \sqrt{k}) where k =
    \frac{1}{\text{in\_features}}

cls_to_become
  alias of "Linear"
