tensorflow:: ops:: FakeQuantWithMinMaxArgsGradient
#include <array_ops.h>
Compute gradients for a FakeQuantWithMinMaxArgs operation.
Summary
Arguments:
- 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)
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Constructors and Destructors |
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FakeQuantWithMinMaxArgsGradient(const ::tensorflow::Scope & scope, ::tensorflow::Input gradients, ::tensorflow::Input inputs)
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FakeQuantWithMinMaxArgsGradient(const ::tensorflow::Scope & scope, ::tensorflow::Input gradients, ::tensorflow::Input inputs, const FakeQuantWithMinMaxArgsGradient::Attrs & attrs)
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Public attributes |
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backprops
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operation
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Public functions |
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node() const
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::tensorflow::Node *
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operator::tensorflow::Input() const
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operator::tensorflow::Output() const
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Public static functions |
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Max(float x)
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Min(float x)
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NarrowRange(bool x)
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NumBits(int64 x)
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Structs |
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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 )