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