tf.contrib.crf.crf_sequence_score

Computes the unnormalized score for a tag sequence.

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

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.

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Last updated 2020-10-01 UTC.

Args