View source on GitHub |
Computes backward decoding in a linear-chain CRF.
tfa.text.crf_decode_backward(
inputs: tfa.types.TensorLike
,
state: tfa.types.TensorLike
) -> tf.Tensor
Args | |
---|---|
inputs
|
A [batch_size, num_tags] matrix of backpointer of next step (in time order). |
state
|
A [batch_size, 1] matrix of tag index of next step. |
Returns | |
---|---|
new_tags
|
A [batch_size, num_tags] tensor containing the new tag indices. |