Help protect the Great Barrier Reef with TensorFlow on Kaggle

``` #include <state_ops.h> ```

Applies sparse addition to individual values or slices in a Variable .

## Summary

``` ref ``` is a ``` Tensor ``` with rank ``` P ``` and ``` indices ``` is a ``` Tensor ``` of rank ``` Q ``` .

``` indices ``` must be integer tensor, containing indices into ``` ref ``` . It must be shape ``` [d_0, ..., d_{Q-2}, K] ``` where ``` 0 < K <= P ``` .

The innermost dimension of ``` indices ``` (with length ``` K ``` ) corresponds to indices into elements (if ``` K = P ``` ) or slices (if ``` K < P ``` ) along the ``` K ``` th dimension of ``` ref ``` .

``` updates ``` is ``` Tensor ``` of rank ``` Q-1+P-K ``` with shape:

```[d_0, ..., d_{Q-2}, ref.shape[K], ..., ref.shape[P-1]]
```

For example, say we want to add 4 scattered elements to a rank-1 tensor to 8 elements. In Python, that addition would look like this:

```ref = tf.Variable([1, 2, 3, 4, 5, 6, 7, 8])
indices = tf.constant([[4], [3], [1], [7]])
updates = tf.constant([9, 10, 11, 12])
with tf.Session() as sess:
```

The resulting update to ref would look like this:

```[1, 13, 3, 14, 14, 6, 7, 20]
```

See ``` tf.scatter_nd ``` for more details about how to make updates to slices.

Args:

• scope: A Scope object
• ref: A mutable Tensor . Should be from a Variable node.
• indices: A Tensor . Must be one of the following types: int32, int64. A tensor of indices into ref.
• updates: A Tensor . Must have the same type as ref. A tensor of updated values to add to ref.

Optional attributes (see ``` Attrs ``` ):

• use_locking: An optional bool. Defaults to True. If True, the assignment will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.

Returns:

• ``` Output ``` : Same as ref. Returned as a convenience for operations that want to use the updated values after the update is done.

### Constructors and Destructors

``` ScatterNdAdd (const :: tensorflow::Scope & scope, :: tensorflow::Input ref, :: tensorflow::Input indices, :: tensorflow::Input updates) ```
``` ScatterNdAdd (const :: tensorflow::Scope & scope, :: tensorflow::Input ref, :: tensorflow::Input indices, :: tensorflow::Input updates, const ScatterNdAdd::Attrs & attrs) ```

### Public attributes

``` operation ```
``` Operation ```
``` output_ref ```
``` :: tensorflow::Output ```

### Public functions

``` node () const ```
``` ::tensorflow::Node * ```
``` operator::tensorflow::Input () const ```
``` ```
``` operator::tensorflow::Output () const ```
``` ```

### Public static functions

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

### Structs

Optional attribute setters for ScatterNdAdd .

## Public attributes

### operation

`Operation operation`

### output_ref

`::tensorflow::Output output_ref`

## Public functions

``` ScatterNdAdd(
const ::tensorflow::Scope & scope,
::tensorflow::Input ref,
::tensorflow::Input indices,
)```

``` ScatterNdAdd(
const ::tensorflow::Scope & scope,
::tensorflow::Input ref,
::tensorflow::Input indices,
)```

### node

`::tensorflow::Node * node() const `

### operator::tensorflow::Input

` operator::tensorflow::Input() const `

### operator::tensorflow::Output

` operator::tensorflow::Output() const `

## Public static functions

### UseLocking

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