# tensorflow::ops::ResourceSparseApplyAdadelta

`#include <training_ops.h>`

var: Should be from a Variable().

## Summary

Arguments:

- scope: A [Scope](https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object
- accum: Should be from a Variable().
- accum_update: : Should be from a Variable().
- lr: Learning rate. Must be a scalar.
- rho: Decay factor. Must be a scalar.
- epsilon: Constant factor. Must be a scalar.
- grad: The gradient.
- indices: A vector of indices into the first dimension of var and accum.

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Optional attributes (see `https://www.tensorflow.org/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-adadelta/attrs#structtensorflow_1_1ops_1_1_resource_sparse_apply_adadelta_1_1_attrs`):

- use_locking: 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.

<br />

Returns:

- the created `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation`

<br />

| ### Constructors and Destructors ||
|---|---|
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/resource-sparse-apply-adadelta#classtensorflow_1_1ops_1_1_resource_sparse_apply_adadelta_1ac0369a8a48b24e742fa836599eb174af(const ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope & scope, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input var, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input accum, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input accum_update, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input lr, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input rho, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input epsilon, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input grad, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input indices)` ||
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/resource-sparse-apply-adadelta#classtensorflow_1_1ops_1_1_resource_sparse_apply_adadelta_1a9a3ddb8290d6c30f1e25e26f7ba03a0e(const ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope & scope, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input var, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input accum, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input accum_update, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input lr, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input rho, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input epsilon, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input grad, ::https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input indices, const https://www.tensorflow.org/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-adadelta/attrs#structtensorflow_1_1ops_1_1_resource_sparse_apply_adadelta_1_1_attrs & attrs)` ||

| ### Public attributes ||
|---|---|
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/resource-sparse-apply-adadelta#classtensorflow_1_1ops_1_1_resource_sparse_apply_adadelta_1a4e843242aeead4a27df958f70025e05d` | `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation` |

| ### Public functions ||
|---|---|
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/resource-sparse-apply-adadelta#classtensorflow_1_1ops_1_1_resource_sparse_apply_adadelta_1a334a1a1add4a3894ab372852c319af6d() const ` | ` `` ` |

| ### Public static functions ||
|---|---|
| `https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/resource-sparse-apply-adadelta#classtensorflow_1_1ops_1_1_resource_sparse_apply_adadelta_1a403257d2f3b607fd2daebf72a0415d8f(bool x)` | `https://www.tensorflow.org/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-adadelta/attrs#structtensorflow_1_1ops_1_1_resource_sparse_apply_adadelta_1_1_attrs` |

| ### Structs ||
|---|---|
| [tensorflow::ops::ResourceSparseApplyAdadelta::Attrs](https://www.tensorflow.org/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-adadelta/attrs) | Optional attribute setters for [ResourceSparseApplyAdadelta](https://www.tensorflow.org/versions/r1.15/api_docs/cc/class/tensorflow/ops/resource-sparse-apply-adadelta#classtensorflow_1_1ops_1_1_resource_sparse_apply_adadelta). |

## Public attributes

### operation

```
Operation operation
```

## Public functions

### ResourceSparseApplyAdadelta

```
 ResourceSparseApplyAdadelta(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input accum,
  ::tensorflow::Input accum_update,
  ::tensorflow::Input lr,
  ::tensorflow::Input rho,
  ::tensorflow::Input epsilon,
  ::tensorflow::Input grad,
  ::tensorflow::Input indices
)
```

### ResourceSparseApplyAdadelta

```
 ResourceSparseApplyAdadelta(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input accum,
  ::tensorflow::Input accum_update,
  ::tensorflow::Input lr,
  ::tensorflow::Input rho,
  ::tensorflow::Input epsilon,
  ::tensorflow::Input grad,
  ::tensorflow::Input indices,
  const ResourceSparseApplyAdadelta::Attrs & attrs
)
```

### operator::tensorflow::Operation

```
 operator::tensorflow::Operation() const 
```

## Public static functions

### UseLocking

```
Attrs UseLocking(
  bool x
)
```