tf.raw_ops.OrderedMapPeek
    
    
      
    
    
      
      Stay organized with collections
    
    
      
      Save and categorize content based on your preferences.
    
  
  
      
    
  
  
  
  
  
    
  
  
    
    
Op peeks at the values at the specified key.
tf.raw_ops.OrderedMapPeek(
    key,
    indices,
    dtypes,
    capacity=0,
    memory_limit=0,
    container='',
    shared_name='',
    name=None
)
If the
underlying container does not contain this key
this op will block until it does.   This Op is optimized for
performance.
| Args | 
|---|
| key | A Tensorof typeint64. | 
| indices | A Tensorof typeint32. | 
| dtypes | A list of tf.DTypesthat has length>= 1. | 
| capacity | An optional intthat is>= 0. Defaults to0. | 
| memory_limit | An optional intthat is>= 0. Defaults to0. | 
| container | An optional string. Defaults to"". | 
| shared_name | An optional string. Defaults to"". | 
| name | A name for the operation (optional). | 
| Returns | 
|---|
| A list of Tensorobjects of typedtypes. | 
  
  
 
  
    
    
      
       
    
    
  
  
  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 2024-04-26 UTC.
  
  
  
    
      [null,null,["Last updated 2024-04-26 UTC."],[],[]]