/TensorFlow C++

# tensorflow::ops::ScatterNdSub

`#include <state_ops.h>`

Applies sparse subtraction between `updates` and individual values or slices.

## Summary

within a given 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 subtract 4 scattered elements from a rank-1 tensor with 8 elements. In Python, that subtraction 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])
sub = tf.scatter_nd_sub(ref, indices, updates)
with tf.Session() as sess:
print sess.run(sub)
```

The resulting update to ref would look like this:

```[1, -9, 3, -6, -4, 6, 7, -4]
```

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 subtract from 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
`ScatterNdSub(const ::tensorflow::Scope & scope, ::tensorflow::Input ref, ::tensorflow::Input indices, ::tensorflow::Input updates)`
`ScatterNdSub(const ::tensorflow::Scope & scope, ::tensorflow::Input ref, ::tensorflow::Input indices, ::tensorflow::Input updates, const ScatterNdSub::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::ScatterNdSub::Attrs

Optional attribute setters for ScatterNdSub.

## Public attributes

### output_ref

`::tensorflow::Output output_ref`

## Public functions

### ScatterNdSub

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

### ScatterNdSub

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