code: def forward(self, tokens: torch.LongTensor) -> torch.BoolTensor:
      retval = torch.zeros_like(tokens, dtype=torch.bool)
      for criterion in self.criteria:
          retval |= criterion(tokens)
      return retval
  
imports: import abc
  from typing import List, Union
  import torch
label_desc: Use image node_id 2 for calling the PipelinedCriterion obj's underlying member method code with example usage: obj.forward(tokens) and returns: retval