# tensorflow:: ops:: ResourceScatterNdSub

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

Applies sparse subtraction 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 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], use_resource=True)
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.

Args:

• scope: A Scope object
• ref: A resource handle. Must be from a VarHandleOp.
• 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 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:

• the created ``` Operation ```

### Constructors and Destructors

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

### Public attributes

``` operation ```
``` Operation ```

### Public functions

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

### Public static functions

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

### Structs

tensorflow:: ops:: ResourceScatterNdSub:: Attrs

Optional attribute setters for ResourceScatterNdSub .

## Public attributes

### operation

`Operation operation`

## Public functions

### ResourceScatterNdSub

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

### ResourceScatterNdSub

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

### operator::tensorflow::Operation

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

## Public static functions

### UseLocking

```Attrs UseLocking(
bool x
)```
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[{ "type": "thumb-up", "id": "easyToUnderstand", "label":"Easy to understand" },{ "type": "thumb-up", "id": "solvedMyProblem", "label":"Solved my problem" },{ "type": "thumb-up", "id": "otherUp", "label":"Other" }]