tf.raw_ops.RngReadAndSkip
    
    
      
    
    
      
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Advance the counter of a counter-based RNG.
tf.raw_ops.RngReadAndSkip(
    resource, alg, delta, name=None
)
The state of the RNG after
rng_read_and_skip(n) will be the same as that after uniform([n])
(or any other distribution). The actual increment added to the
counter is an unspecified implementation choice.
| Args | 
|---|
| resource | A Tensorof typeresource.
The handle of the resource variable that stores the state of the RNG. | 
| alg | A Tensorof typeint32. The RNG algorithm. | 
| delta | A Tensorof typeuint64. The amount of advancement. | 
| name | A name for the operation (optional). | 
| Returns | 
|---|
| A Tensorof typeint64. | 
  
  
 
  
    
    
      
       
    
    
  
  
  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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