tensorflow::
ops::
LRN::
Attrs
#include <nn_ops.h>
Optional attribute setters for LRN .
Summary
Public attributes |
|
---|---|
alpha_
= 1.0f
|
float
|
beta_
= 0.5f
|
float
|
bias_
= 1.0f
|
float
|
depth_radius_
= 5
|
int64
|
Public functions |
|
---|---|
Alpha
(float x)
|
TF_MUST_USE_RESULT
Attrs
A scale factor, usually positive.
|
Beta
(float x)
|
TF_MUST_USE_RESULT
Attrs
An exponent.
|
Bias
(float x)
|
TF_MUST_USE_RESULT
Attrs
An offset (usually positive to avoid dividing by 0).
|
DepthRadius
(int64 x)
|
TF_MUST_USE_RESULT
Attrs
0-D.
|
Public attributes
alpha_
float tensorflow::ops::LRN::Attrs::alpha_ = 1.0f
beta_
float tensorflow::ops::LRN::Attrs::beta_ = 0.5f
bias_
float tensorflow::ops::LRN::Attrs::bias_ = 1.0f
depth_radius_
int64 tensorflow::ops::LRN::Attrs::depth_radius_ = 5
Public functions
Alpha
TF_MUST_USE_RESULT Attrs tensorflow::ops::LRN::Attrs::Alpha( float x )
A scale factor, usually positive.
Defaults to 1
Beta
TF_MUST_USE_RESULT Attrs tensorflow::ops::LRN::Attrs::Beta( float x )
An exponent.
Defaults to 0.5
Bias
TF_MUST_USE_RESULT Attrs tensorflow::ops::LRN::Attrs::Bias( float x )
An offset (usually positive to avoid dividing by 0).
Defaults to 1
DepthRadius
TF_MUST_USE_RESULT Attrs tensorflow::ops::LRN::Attrs::DepthRadius( int64 x )
0-D.
Half-width of the 1-D normalization window.
Defaults to 5