tf.raw_ops.RngSkip
    
    
      
    
    
      
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Advance the counter of a counter-based RNG.
tf.raw_ops.RngSkip(
    resource, algorithm, delta, name=None
)
The state of the RNG after
rng_skip(n) will be the same as that after stateful_uniform([n])
(or any other distribution). The actual increment added to the
counter is an unspecified implementation detail.
| Args | 
|---|
| resource | A Tensorof typeresource.
The handle of the resource variable that stores the state of the RNG. | 
| algorithm | A Tensorof typeint64. The RNG algorithm. | 
| delta | A Tensorof typeint64. The amount of advancement. | 
| name | A name for the operation (optional). | 
| Returns | 
|---|
| The created Operation. | 
  
  
 
  
    
    
      
       
    
    
  
  
  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. Some content is licensed under the numpy license.
  Last updated 2022-10-27 UTC.
  
  
  
    
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