tensorflow::
    
   ops::
    
   QuantizedInstanceNorm
  
  
   #include <array_ops.h>
  
  Quantized Instance normalization.
Summary
Args:
- scope: A Scope object
 - x: A 4D input Tensor .
 - x_min: The value represented by the lowest quantized input.
 - x_max: The value represented by the highest quantized input.
 
   Optional attributes (see
   
    
     Attrs
    
   
   ):
   
- 
     output_range_given: If True,
     
given_y_minandgiven_y_minandgiven_y_maxare used as the output range. Otherwise, the implementation computes the output range. - 
     given_y_min:
     
      Output
     
     in
     
y_minifoutput_range_givenis True. - 
     given_y_max:
     
      Output
     
     in
     
y_maxifoutput_range_givenis True. - variance_epsilon: A small float number to avoid dividing by 0.
 - 
     min_separation:
     
      Minimum
     
     value of
     
y_max - y_min 
Returns:
- 
     
Outputy: A 4D Tensor . - 
     
Outputy_min: The value represented by the lowest quantized output. - 
     
Outputy_max: The value represented by the highest quantized output. 
     Constructors and Destructors | 
   |
|---|---|
     
      
       QuantizedInstanceNorm
      
      (const ::
      
       tensorflow::Scope
      
      & scope, ::
      
       tensorflow::Input
      
      x, ::
      
       tensorflow::Input
      
      x_min, ::
      
       tensorflow::Input
      
      x_max)
     
      | 
   |
     
      
       QuantizedInstanceNorm
      
      (const ::
      
       tensorflow::Scope
      
      & scope, ::
      
       tensorflow::Input
      
      x, ::
      
       tensorflow::Input
      
      x_min, ::
      
       tensorflow::Input
      
      x_max, const
      
       QuantizedInstanceNorm::Attrs
      
      & attrs)
     
      | 
   
     Public attributes | 
   |
|---|---|
     
      
       operation
      
     
     | 
    |
     
      
       y
      
     
     | 
    |
     
      
       y_max
      
     
     | 
    |
     
      
       y_min
      
     
     | 
    |
     Public static functions | 
   |
|---|---|
     
      
       GivenYMax
      
      (float x)
     
     | 
    |
     
      
       GivenYMin
      
      (float x)
     
     | 
    |
     
      
       MinSeparation
      
      (float x)
     
     | 
    |
     
      
       OutputRangeGiven
      
      (bool x)
     
     | 
    |
     
      
       VarianceEpsilon
      
      (float x)
     
     | 
    |
     Structs | 
   |
|---|---|
| 
     
      tensorflow::
       | 
    
      Optional attribute setters for QuantizedInstanceNorm .  | 
   
Public attributes
Public functions
QuantizedInstanceNorm
QuantizedInstanceNorm( const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input x_min, ::tensorflow::Input x_max )
QuantizedInstanceNorm
QuantizedInstanceNorm( const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input x_min, ::tensorflow::Input x_max, const QuantizedInstanceNorm::Attrs & attrs )