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)
The data format for y_backprop, x, x_backprop.
Epsilon(float x)
A small float number added to the variance of x.
IsTraining(bool x)
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

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

Attrs tensorflow::ops::FusedBatchNormGradV2::Attrs::Epsilon(
  float x
)

A small float number added to the variance of x.

Defaults to 0.0001

IsTraining

Attrs tensorflow::ops::FusedBatchNormGradV2::Attrs::IsTraining(
  bool x
)

A bool value to indicate the operation is for training (default) or inference.

Defaults to true