tensorflow::ops::FusedBatchNormV3::Attrs

#include <nn_ops.h>

Optional attribute setters for FusedBatchNormV3.

Summary

Public functions
`DataFormat(StringPiece x)`	`TF_MUST_USE_RESULT Attrs` The data format for x and y.
`Epsilon(float x)`	`TF_MUST_USE_RESULT Attrs` A small float number added to the variance of x.
`ExponentialAvgFactor(float x)`	`TF_MUST_USE_RESULT Attrs` Defaults to 1.
`IsTraining(bool x)`	`TF_MUST_USE_RESULT Attrs` A bool value to indicate the operation is for training (default) or inference.

StringPiece tensorflow::ops::FusedBatchNormV3::Attrs::data_format_ = "NHWC"

float tensorflow::ops::FusedBatchNormV3::Attrs::epsilon_ = 0.0001f

float tensorflow::ops::FusedBatchNormV3::Attrs::exponential_avg_factor_ = 1.0f

bool tensorflow::ops::FusedBatchNormV3::Attrs::is_training_ = true

TF_MUST_USE_RESULT Attrs tensorflow::ops::FusedBatchNormV3::Attrs::DataFormat(
  StringPiece x
)

The data format for x and y.

Either "NHWC" (default) or "NCHW".

Defaults to "NHWC"

TF_MUST_USE_RESULT Attrs tensorflow::ops::FusedBatchNormV3::Attrs::Epsilon(
  float x
)

A small float number added to the variance of x.

Defaults to 0.0001

TF_MUST_USE_RESULT Attrs tensorflow::ops::FusedBatchNormV3::Attrs::ExponentialAvgFactor(
  float x
)

Defaults to 1.

TF_MUST_USE_RESULT Attrs tensorflow::ops::FusedBatchNormV3::Attrs::IsTraining(
  bool x
)

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

Defaults to true