tensorflow::
#include <nn_ops.h>
Optional attribute setters for FusedBatchNormGradV3.
Summary
Public attributes |
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data_format_ = "NHWC"
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StringPiece
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epsilon_ = 0.0001f
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float
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is_training_ = true
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bool
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Public functions |
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DataFormat(StringPiece x)
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TF_MUST_USE_RESULT Attrs
The data format for y_backprop, x, x_backprop.
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Epsilon(float x)
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TF_MUST_USE_RESULT Attrs
A small float number added to the variance of x.
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IsTraining(bool x)
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TF_MUST_USE_RESULT Attrs
A bool value to indicate the operation is for training (default) or inference.
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Public attributes
data_format_
StringPiece tensorflow::ops::FusedBatchNormGradV3::Attrs::data_format_ = "NHWC"
epsilon_
float tensorflow::ops::FusedBatchNormGradV3::Attrs::epsilon_ = 0.0001f
is_training_
bool tensorflow::ops::FusedBatchNormGradV3::Attrs::is_training_ = true
Public functions
DataFormat
TF_MUST_USE_RESULT Attrs tensorflow::ops::FusedBatchNormGradV3::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::FusedBatchNormGradV3::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::FusedBatchNormGradV3::Attrs::IsTraining( bool x )
A bool value to indicate the operation is for training (default) or inference.
Defaults to true