class_docstr: Class providing functionality for computing operations related to getting lower and upper bounds on zonotopes.
class_docstr_tok: ["Class","providing","functionality","for","computing","operations","related","to","getting","lower","and","upper","bounds","on","zonotopes","."]
docstr: Compute the lower bound on a feature.
  
  :param eps: tensor with the eps terms
  :param cent: tensor with the zero zonotope term
  :return: lower bound on the given feature
docstr_tok: ["Compute","the","lower","bound","on","a","feature",".",":","param","eps",":","tensor","with","the","eps","terms",":","param","cent",":","tensor","with","the","zero","zonotope","term",":","return",":","lower","bound","on","the","given","feature"]
code: def compute_lb(
      cent: "torch.Tensor", eps: "torch.Tensor"
  ) -> "torch.Tensor":
      """
      Compute the lower bound on a feature.
  
      :param eps: tensor with the eps terms
      :param cent: tensor with the zero zonotope term
      :return: lower bound on the given feature
      """
      return torch.sum(-1 * torch.abs(eps), dim=0) + cent
  
imports: from typing import Tuple, Union
  import numpy
  import torch
label_desc: Use image node_id 2 for calling the ZonoBounds obj's underlying member method code with example usage: obj.compute_lb(cent, eps) and returns: unknown