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tfa.text.crf_log_norm
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Computes the normalization for a CRF.

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tfa.text.crf.crf_log_norm

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 2023-05-25 UTC.

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Args

Returns

tfa.text.crf_log_norm
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