tensorflow::
#include <array_ops.h>
Compute gradients for a FakeQuantWithMinMaxArgs operation.
Summary
Args:
- scope: A Scope object
- gradients: Backpropagated gradients above the FakeQuantWithMinMaxArgs operation.
- inputs: Values passed as inputs to the FakeQuantWithMinMaxArgs operation.
Returns:
- Output: Backpropagated gradients below the FakeQuantWithMinMaxArgs operation:- gradients * (inputs >= min && inputs <= max).
| Constructors and Destructors | |
|---|---|
| FakeQuantWithMinMaxArgsGradient(const ::tensorflow::Scope & scope, ::tensorflow::Input gradients, ::tensorflow::Input inputs) | |
| FakeQuantWithMinMaxArgsGradient(const ::tensorflow::Scope & scope, ::tensorflow::Input gradients, ::tensorflow::Input inputs, const FakeQuantWithMinMaxArgsGradient::Attrs & attrs) | 
| Public attributes | |
|---|---|
| backprops | |
| operation | |
| Public functions | |
|---|---|
| node() const  | ::tensorflow::Node * | 
| operator::tensorflow::Input() const  |  | 
| operator::tensorflow::Output() const  |  | 
| Public static functions | |
|---|---|
| Max(float x) | |
| Min(float x) | |
| NarrowRange(bool x) | |
| NumBits(int64 x) | |
| Structs | |
|---|---|
| tensorflow:: | Optional attribute setters for FakeQuantWithMinMaxArgsGradient. | 
Public attributes
backprops
::tensorflow::Output backprops
operation
Operation operation
Public functions
FakeQuantWithMinMaxArgsGradient
FakeQuantWithMinMaxArgsGradient( const ::tensorflow::Scope & scope, ::tensorflow::Input gradients, ::tensorflow::Input inputs )
FakeQuantWithMinMaxArgsGradient
FakeQuantWithMinMaxArgsGradient( const ::tensorflow::Scope & scope, ::tensorflow::Input gradients, ::tensorflow::Input inputs, const FakeQuantWithMinMaxArgsGradient::Attrs & attrs )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Public static functions
Max
Attrs Max( float x )
Min
Attrs Min( float x )
NarrowRange
Attrs NarrowRange( bool x )
NumBits
Attrs NumBits( int64 x )