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# tensorflow::ops::ResourceScatterNdUpdate

#include <state_ops.h>

Applies sparse updates to individual values or slices within a given.

## Summary

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 Kth 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 update 4 scattered elements to a rank-1 tensor to 8 elements. In Python, that update 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(update)

The resulting update to ref would look like this:

[1, 11, 3, 10, 9, 6, 7, 12]

See tf.scatter_nd for more details about how to make updates to slices.

Arguments:

• 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 updated 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:

### Constructors and Destructors

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

operation

### Public functions

operator::tensorflow::Operation() const

### Public static functions

UseLocking(bool x)

### Structs

tensorflow::ops::ResourceScatterNdUpdate::Attrs

Optional attribute setters for ResourceScatterNdUpdate.

## Public attributes

### operation

Operation operation

## Public functions

### ResourceScatterNdUpdate

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

### ResourceScatterNdUpdate

ResourceScatterNdUpdate(
const ::tensorflow::Scope & scope,
::tensorflow::Input ref,
::tensorflow::Input indices,
const ResourceScatterNdUpdate::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" }]