# W3cubDocs

/TensorFlow C++

`#include <array_ops.h>`

Applies sparse addition to `input` using individual values or slices.

## Summary

from `updates` according to indices `indices`. The updates are non-aliasing: `input` is only modified in-place if no other operations will use it. Otherwise, a copy of `input` is made. This operation has a gradient with respect to both `input` and `updates`.

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

`indices` must be integer tensor, containing indices into `input`. 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 `(P-K)`-dimensional slices (if `K < P`) along the `K`th dimension of `input`.

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

``` [d_0, ..., d_{Q-2}, input.shape[K], ..., input.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:

```input = tf.constant([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(output))
```

The resulting value `output` 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.

Arguments:

• scope: A Scope object
• input: A Tensor.
• indices: A Tensor. Must be one of the following types: `int32`, `int64`. A tensor of indices into `input`.
• updates: A Tensor. Must have the same type as ref. A tensor of updated values to add to `input`.

Returns:

• `Output`: A `Tensor` with the same shape as `input`, containing values of `input` updated with `updates`.
Constructors and Destructors
`ScatterNdNonAliasingAdd(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input indices, ::tensorflow::Input updates)`
Public attributes
`output`
`::tensorflow::Output`
Public functions
`node() const `
`::tensorflow::Node *`
`operator::tensorflow::Input() const `
`operator::tensorflow::Output() const `

## Public attributes

### output

`::tensorflow::Output output`

## Public functions

``` ScatterNdNonAliasingAdd(
const ::tensorflow::Scope & scope,
::tensorflow::Input input,
::tensorflow::Input indices,
)```

### node

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

### operator::tensorflow::Input

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

### operator::tensorflow::Output

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