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# ScatterNdSub

public final class ScatterNdSub

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

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])
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.

### Nested Classes

 class ScatterNdSub.Options Optional attributes for `ScatterNdSub`

### Public Methods

 Output asOutput() Returns the symbolic handle of a tensor. static ScatterNdSub create(Scope scope, Operand ref, Operand indices, Operand updates, Options... options) Factory method to create a class wrapping a new ScatterNdSub operation. Output outputRef() Same as ref. static ScatterNdSub.Options useLocking(Boolean useLocking)

## Public Methods

#### public Output<T> asOutput()

Returns the symbolic handle of a tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

#### public static ScatterNdSub<T> create(Scope scope, Operand<T> ref, Operand<U> indices, Operand<T> updates, Options... options)

Factory method to create a class wrapping a new ScatterNdSub operation.

##### Parameters
scope current scope A mutable Tensor. Should be from a Variable node. A Tensor. Must be one of the following types: int32, int64. A tensor of indices into ref. A Tensor. Must have the same type as ref. A tensor of updated values to subtract from ref. carries optional attributes values
##### Returns
• a new instance of ScatterNdSub

#### public Output<T> outputRef()

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

#### public static ScatterNdSub.Options useLocking(Boolean useLocking)

##### Parameters
useLocking 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.
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