# tensorflow::ops::ApplyAdagrad::Attrs Struct Reference

# tensorflow::ops::ApplyAdagrad::Attrs

`#include <training_ops.h>`

Optional attribute setters for [ApplyAdagrad](https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/ops/apply-adagrad#classtensorflow_1_1ops_1_1_apply_adagrad).

## Summary

| ### Public attributes ||
|---|---|
| `https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/apply-adagrad/attrs#structtensorflow_1_1ops_1_1_apply_adagrad_1_1_attrs_1aecda1103e1bf5f24ac4a5e9e2db415f0 = true` | `bool` |
| `https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/apply-adagrad/attrs#structtensorflow_1_1ops_1_1_apply_adagrad_1_1_attrs_1a2cebeba0955b69f811c261fc26775150 = false` | `bool` |

| ### Public functions ||
|---|---|
| `https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/apply-adagrad/attrs#structtensorflow_1_1ops_1_1_apply_adagrad_1_1_attrs_1abe5a543d87b9a4dafbb5bb432ef64eae(bool x)` | `TF_MUST_USE_RESULT https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/apply-adagrad/attrs#structtensorflow_1_1ops_1_1_apply_adagrad_1_1_attrs` Defaults to true. |
| `https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/apply-adagrad/attrs#structtensorflow_1_1ops_1_1_apply_adagrad_1_1_attrs_1a2570b9f7d1714e9207dde42c62d1e25f(bool x)` | `TF_MUST_USE_RESULT https://www.tensorflow.org/versions/r2.3/api_docs/cc/struct/tensorflow/ops/apply-adagrad/attrs#structtensorflow_1_1ops_1_1_apply_adagrad_1_1_attrs` If `True`, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention. |

## Public attributes

### update_slots_

```
bool tensorflow::ops::ApplyAdagrad::Attrs::update_slots_ = true
```

### use_locking_

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

## Public functions

### UpdateSlots

```
TF_MUST_USE_RESULT Attrs tensorflow::ops::ApplyAdagrad::Attrs::UpdateSlots(
  bool x
)
```
Defaults to true.

### UseLocking

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

Defaults to false