# tensorflow::ops::FusedBatchNormV3::Attrs Struct Reference

# tensorflow::ops::FusedBatchNormV3::Attrs

`#include <nn_ops.h>`

Optional attribute setters for [FusedBatchNormV3](https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/ops/fused-batch-norm-v3#classtensorflow_1_1ops_1_1_fused_batch_norm_v3).

## Summary

| ### Public attributes ||
|---|---|
| `https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/fused-batch-norm-v3/attrs#structtensorflow_1_1ops_1_1_fused_batch_norm_v3_1_1_attrs_1a60b4c5dc8d2fde72365cb175e966a43c = "NHWC"` | `StringPiece` |
| `https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/fused-batch-norm-v3/attrs#structtensorflow_1_1ops_1_1_fused_batch_norm_v3_1_1_attrs_1a471771f7031bed8e9435724d83c7814d = 0.0001f` | `float` |
| `https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/fused-batch-norm-v3/attrs#structtensorflow_1_1ops_1_1_fused_batch_norm_v3_1_1_attrs_1a4c88b019b9144e032c7fc5d8196454e6 = 1.0f` | `float` |
| `https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/fused-batch-norm-v3/attrs#structtensorflow_1_1ops_1_1_fused_batch_norm_v3_1_1_attrs_1ab47538d21b863e4214e9e22076733d1c = true` | `bool` |

| ### Public functions ||
|---|---|
| `https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/fused-batch-norm-v3/attrs#structtensorflow_1_1ops_1_1_fused_batch_norm_v3_1_1_attrs_1a63775942a646cfe49d56384d3320c03b(StringPiece x)` | `TF_MUST_USE_RESULT https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/fused-batch-norm-v3/attrs#structtensorflow_1_1ops_1_1_fused_batch_norm_v3_1_1_attrs` The data format for x and y. |
| `https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/fused-batch-norm-v3/attrs#structtensorflow_1_1ops_1_1_fused_batch_norm_v3_1_1_attrs_1ae04448c26274c4190ff52bc89ba10e01(float x)` | `TF_MUST_USE_RESULT https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/fused-batch-norm-v3/attrs#structtensorflow_1_1ops_1_1_fused_batch_norm_v3_1_1_attrs` A small float number added to the variance of x. |
| `https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/fused-batch-norm-v3/attrs#structtensorflow_1_1ops_1_1_fused_batch_norm_v3_1_1_attrs_1a701f677ed8ac842bbcfd0e67ec5224e1(float x)` | `TF_MUST_USE_RESULT https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/fused-batch-norm-v3/attrs#structtensorflow_1_1ops_1_1_fused_batch_norm_v3_1_1_attrs` Defaults to 1. |
| `https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/fused-batch-norm-v3/attrs#structtensorflow_1_1ops_1_1_fused_batch_norm_v3_1_1_attrs_1adeb3339d5aec66ac387c67a657132b73(bool x)` | `TF_MUST_USE_RESULT https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/fused-batch-norm-v3/attrs#structtensorflow_1_1ops_1_1_fused_batch_norm_v3_1_1_attrs` A bool value to indicate the operation is for training (default) or inference. |

## Public attributes

### data_format_

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

### epsilon_

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

### exponential_avg_factor_

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

### is_training_

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

## Public functions

### DataFormat

```
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"

### Epsilon

```
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

### ExponentialAvgFactor

```
TF_MUST_USE_RESULT Attrs tensorflow::ops::FusedBatchNormV3::Attrs::ExponentialAvgFactor(
  float x
)
```
Defaults to 1.

### IsTraining

```
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