tensorflow::
ops::
FusedBatchNormGradV2::
Attrs
#include <nn_ops.h>
Optional attribute setters for FusedBatchNormGradV2 .
Summary
Public attributes |
|
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data_format_
= "NHWC"
|
StringPiece
|
epsilon_
= 0.0001f
|
float
|
is_training_
= true
|
bool
|
Public functions |
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---|---|
DataFormat
(StringPiece x)
|
TF_MUST_USE_RESULT
Attrs
The data format for y_backprop, x, x_backprop.
|
Epsilon
(float x)
|
TF_MUST_USE_RESULT
Attrs
A small float number added to the variance of x.
|
IsTraining
(bool x)
|
TF_MUST_USE_RESULT
Attrs
A bool value to indicate the operation is for training (default) or inference.
|
Public attributes
data_format_
StringPiece tensorflow::ops::FusedBatchNormGradV2::Attrs::data_format_ = "NHWC"
epsilon_
float tensorflow::ops::FusedBatchNormGradV2::Attrs::epsilon_ = 0.0001f
is_training_
bool tensorflow::ops::FusedBatchNormGradV2::Attrs::is_training_ = true
Public functions
DataFormat
TF_MUST_USE_RESULT Attrs tensorflow::ops::FusedBatchNormGradV2::Attrs::DataFormat( StringPiece x )
The data format for y_backprop, x, x_backprop.
Either "NHWC" (default) or "NCHW".
Defaults to "NHWC"
Epsilon
TF_MUST_USE_RESULT Attrs tensorflow::ops::FusedBatchNormGradV2::Attrs::Epsilon( float x )
A small float number added to the variance of x.
Defaults to 0.0001
IsTraining
TF_MUST_USE_RESULT Attrs tensorflow::ops::FusedBatchNormGradV2::Attrs::IsTraining( bool x )
A bool value to indicate the operation is for training (default) or inference.
Defaults to true