# tensorflow::ops::ApplyPowerSign::Attrs

`#include <training_ops.h>`

Optional attribute setters for [ApplyPowerSign](https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/ops/apply-power-sign#classtensorflow_1_1ops_1_1_apply_power_sign).

## Summary

| ### Public attributes ||
|---|---|
| `https://www.tensorflow.org/versions/r2.0/api_docs/cc/struct/tensorflow/ops/apply-power-sign/attrs#structtensorflow_1_1ops_1_1_apply_power_sign_1_1_attrs_1ac0532be3b22aee7b02a566f343c98e2f = false` | `bool` |

| ### Public functions ||
|---|---|
| `https://www.tensorflow.org/versions/r2.0/api_docs/cc/struct/tensorflow/ops/apply-power-sign/attrs#structtensorflow_1_1ops_1_1_apply_power_sign_1_1_attrs_1a58be8ab834a7a2b52c583915a0b277f1(bool x)` | `TF_MUST_USE_RESULT https://www.tensorflow.org/versions/r2.0/api_docs/cc/struct/tensorflow/ops/apply-power-sign/attrs#structtensorflow_1_1ops_1_1_apply_power_sign_1_1_attrs` If `True`, updating of the var and m tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention. |

## Public attributes

### use_locking_

```
bool tensorflow::ops::ApplyPowerSign::Attrs::use_locking_ = false
```

## Public functions

### UseLocking

```
TF_MUST_USE_RESULT Attrs tensorflow::ops::ApplyPowerSign::Attrs::UseLocking(
  bool x
)
```
If `True`, updating of the var and m tensors is protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.

Defaults to false