class_docstr: Wrapper class for non linear function or module.
  
  Args:
      non_linear (callable or type): Non-linear function or type to be
          wrapped.
class_docstr_tok: ["Wrapper","class","for","non","linear","function","or","module",".","Args",":","non_linear","(","callable","or","type",")",":","Non-linear","function","or","type","to","be","wrapped","."]
docstr: object representation method.
docstr_tok: ["object","representation","method","."]
code: def __repr__(self):
      """object representation method."""
      return repr(self.module)
  
imports: import copy
  import math
  import warnings
  import torch
  from torch import nn
  import torch.nn.functional
label_desc: Use image node_id 3 for calling the NonLinearity obj's underlying member method code with example usage: obj.__repr__() and returns: repr