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tfa.text.crf_decode_backward
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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.
|
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Last updated 2023-05-25 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-05-25 UTC."],[],[]]
View source on GitHub