tf.contrib.crf.crf_log_norm
Computes the normalization for a CRF.
tf.contrib.crf.crf_log_norm(
inputs, 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. |
sequence_lengths | A [batch_size] vector of true sequence lengths. |
transition_params | A [num_tags, num_tags] transition matrix. |
| Returns | |
|---|---|
log_norm | A [batch_size] vector of normalizers for a CRF. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/crf/crf_log_norm