message: Fix documentation for the real shape of the output of crf_log_likelihood.
diff: @@ -166,8 +166,8 @@ def crf_log_likelihood(inputs,
  sequence_lengths: A [batch_size] vector of true sequence lengths.
  transition_params: A [num_tags, num_tags] transition matrix, if available.
  Returns:
  - log_likelihood: A scalar containing the log-likelihood of the given sequence
  - of tag indices.
  + log_likelihood: A [batch_size] `Tensor` containing the log-likelihood of
  + each example, given the sequence of tag indices.
  transition_params: A [num_tags, num_tags] transition matrix. This is either
  provided by the caller or created in this function.
  """
  @@ -182,7 +182,7 @@ def crf_log_likelihood(inputs,
  transition_params)
  log_norm = crf_log_norm(inputs, sequence_lengths, transition_params)
  - # Normalize the scores to get the log-likelihood.
  + # Normalize the scores to get the log-likelihood per example.
  log_likelihood = sequence_scores - log_norm
  return log_likelihood, transition_params
  