tensorflow::ops::FusedBatchNormGradV2::Attrs
#include <nn_ops.h>
Optional attribute setters for FusedBatchNormGradV2.
Summary
| Public attributes | |
|---|---|
data_format_ = "NHWC" | StringPiece |
epsilon_ = 0.0001f | float |
is_training_ = true | bool |
| Public functions | |
|---|---|
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
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Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/cc/struct/tensorflow/ops/fused-batch-norm-grad-v2/attrs