tfa.text.crf_log_norm
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Computes the normalization for a CRF.
tfa.text.crf_log_norm(
inputs: tfa.types.TensorLike
,
sequence_lengths: tfa.types.TensorLike
,
transition_params: tfa.types.TensorLike
) -> tf.Tensor
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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Last updated 2022-06-03 UTC.
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