class_docstr: This class allows you to specify skipping a `Seq2SeqEncoder` just
  by changing a configuration file. This is useful for ablations and
  measuring the impact of different elements of your model.
  
  Registered as a `Seq2SeqEncoder` with name "pass_through".
code: def is_bidirectional(self):
      return False
  
file_path: allennlp/allennlp/modules/seq2seq_encoders/pass_through_encoder.py
imports: import torch
  from allennlp.modules.seq2seq_encoders.seq2seq_encoder import Seq2SeqEncoder
label_desc: Use image node_id 4 for calling the PassThroughEncoder obj's underlying member method code with example usage: obj.is_bidirectional() and returns: False