class_docstr: Base criterion class that mimics Pytorch's Loss.
class_docstr_tok: ["Base","criterion","class","that","mimics","Pytorch","'s","Loss","."]
code: def forward(self, *args, **kwargs):
      raise NotImplementedError("forward not implemented")
  
imports: import crypten
  import torch
  from .module import Module
label_desc: Use image node_id 2 for calling the _Loss obj's underlying member method code with example usage: obj.forward() without return types