class_docstr: Class implementing a dense layer on a zonotope.
  Bias is only added to the zeroth term.
class_docstr_tok: ["Class","implementing","a","dense","layer","on","a","zonotope",".","Bias","is","only","added","to","the","zeroth","term","."]
code: def __call__(self, x: "torch.Tensor") -> "torch.Tensor":
      return self.forward(x)
  
imports: from typing import Tuple, Union
  import numpy
  import torch
label_desc: Use image node_id 2 for calling the ZonoDenseLayer obj's underlying member method code with example usage: obj.__call__(x) and returns: self