tf.raw_ops.FakeQuantWithMinMaxArgsGradient
    
    
      
    
    
      
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Compute gradients for a FakeQuantWithMinMaxArgs operation.
tf.raw_ops.FakeQuantWithMinMaxArgsGradient(
    gradients, inputs, min=-6, max=6, num_bits=8, narrow_range=False, name=None
)
| Args | 
|---|
| gradients | A Tensorof typefloat32.
Backpropagated gradients above the FakeQuantWithMinMaxArgs operation. | 
| inputs | A Tensorof typefloat32.
Values passed as inputs to the FakeQuantWithMinMaxArgs operation. | 
| min | An optional float. Defaults to-6. | 
| max | An optional float. Defaults to6. | 
| num_bits | An optional int. Defaults to8. | 
| narrow_range | An optional bool. Defaults toFalse. | 
| name | A name for the operation (optional). | 
| Returns | 
|---|
| A Tensorof typefloat32. | 
  
  
 
  
    
    
      
    
    
  
       
    
    
  
  
  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 2021-08-16 UTC.
  
  
  
    
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