Indicate that the forward-backward method is not used

model/linear_crf_inferencer.py

@@ -121,6 +121,7 @@ def backward(self, lstm_scores: torch.Tensor, word_seq_lens: torch.Tensor) -> to
 
  def forward_backward(self, lstm_scores: torch.Tensor, word_seq_lens: torch.Tensor) -> torch.Tensor:
  """
+ Note: This function is not used unless you want to compute the marginal probability
  Forward-backward algorithm to compute the marginal probability (in log space)
  Basically, we follow the `backward` algorithm to obtain the backward scores.
  :param lstm_scores: shape: (batch_size, sent_len, label_size) NOTE: the score from LSTMs, not `all_scores` (which add up the transtiion)