# tf.raw_ops.ResourceScatterNdSub

<br />

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

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.raw_ops.ResourceScatterNdSub`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/ResourceScatterNdSub)

<br />

    tf.raw_ops.ResourceScatterNdSub(
        ref, indices, updates, use_locking=True, name=None
    )

`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`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/scatter_nd) for more details about how to make updates to
slices.

<br />

<br />

<br />

| ## Args ||
|---|---|
| `ref` | A `Tensor` of type `resource`. A resource handle. Must be from a VarHandleOp. |
| `indices` | A `Tensor`. Must be one of the following types: `int32`, `int64`. A Tensor. Must be one of the following types: int32, int64. A tensor of indices into ref. |
| `updates` | A `Tensor`. A Tensor. Must have the same type as ref. A tensor of values to add to ref. |
| `use_locking` | An optional `bool`. Defaults to `True`. 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. |
| `name` | A name for the operation (optional). |

<br />

<br />

<br />

<br />

| ## Returns ||
|---|---|
| The created Operation. ||

<br />