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