# tensorflow::ops::ScatterNdUpdate

`#include <state_ops.h>`

Applies sparse `updates` to individual values or slices within a given.

## Summary

variable according to `indices`.

`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 update 4 scattered elements to a rank-1 tensor to 8 elements. In Python, that update 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:
print sess.run(update)
```

The resulting update to ref would look like this:

```[1, 11, 3, 10, 9, 6, 7, 12]
```

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

Arguments:

• 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

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

### Public attributes

`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

tensorflow::ops::ScatterNdUpdate::Attrs

Optional attribute setters for ScatterNdUpdate.

## Public attributes

### output_ref

`::tensorflow::Output output_ref`

## Public functions

### ScatterNdUpdate

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

### ScatterNdUpdate

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

### 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
)```