Warning: This project is deprecated. TensorFlow Addons has stopped development,
  The project will only be providing minimal maintenance releases until May 2024. See the full
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      tfa.text.crf_decode_forward
    
    
      
    
    
      
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Computes forward decoding in a linear-chain CRF.
tfa.text.crf_decode_forward(
    inputs: tfa.types.TensorLike,
    state: tfa.types.TensorLike,
    transition_params: tfa.types.TensorLike,
    sequence_lengths: tfa.types.TensorLike
) -> tf.Tensor
| Args | 
|---|
| inputs | A [batch_size, num_tags] matrix of unary potentials. | 
| state | A [batch_size, num_tags] matrix containing the previous step's
score values. | 
| transition_params | A [num_tags, num_tags] matrix of binary potentials. | 
| sequence_lengths | A [batch_size] vector of true sequence lengths. | 
| Returns | 
|---|
| backpointers | A [batch_size, num_tags] matrix of backpointers. | 
| new_state | A [batch_size, num_tags] matrix of new score values. | 
  
  
 
  
    
    
      
       
    
    
  
  
  Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
  Last updated 2023-05-25 UTC.
  
  
  
    
      [null,null,["Last updated 2023-05-25 UTC."],[],[]]