tf.config.experimental.set_device_policy
    
    
      
    
    
      
      Stay organized with collections
    
    
      
      Save and categorize content based on your preferences.
    
  
  
      
    
  
  
  
  
  
    
  
  
    
    
Sets the current thread device policy.
tf.config.experimental.set_device_policy(
    device_policy
)
The device policy controls how operations requiring inputs on a specific
device (e.g., on GPU:0) handle inputs on a different device (e.g. GPU:1).
When using the default, an appropriate policy will be picked automatically.
The default policy may change over time.
This function only sets the device policy for the current thread. Any
subsequently started thread will again use the default policy.
| Args | 
|---|
| device_policy | A device policy.
Valid values: 
None: Switch to a system default.'warn': Copies the tensors which are not on the right device and logs a
warning.'explicit': Raises an error if the placement is not as required.'silent': Silently copies the tensors. Note that this may hide
performance problems as there is no notification provided when
operations are blocked on the tensor being copied between devices.'silent_for_int32': silently copies int32tensors, raising errors on
the other ones. | 
| Raises | 
|---|
| ValueError | If an invalid device_policyis passed. | 
  
  
 
  
    
    
      
       
    
    
  
  
  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."],[],[]]