tf.contrib.crf.crf_sequence_score()

tf.contrib.crf.crf_sequence_score(inputs, tag_indices, sequence_lengths, transition_params)

Computes the unnormalized score for a tag sequence.

Args:

• inputs: A [batch_size, max_seq_len, num_tags] tensor of unary potentials to use as input to the CRF layer.
• tag_indices: A [batch_size, max_seq_len] matrix of tag indices for which we compute the unnormalized score.
• sequence_lengths: A [batch_size] vector of true sequence lengths.
• transition_params: A [num_tags, num_tags] transition matrix.

Returns:

• sequence_scores: A [batch_size] vector of unnormalized sequence scores.