# tensorflow::ops::ScatterNdUpdate

#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])
update = tf.scatter_nd_update(ref, indices, updates)
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.

See also tf.scatter_update and tf.batch_scatter_update.

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 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:

• 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

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

### Public attributes

operation
Operation
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::ScatterNdUpdate::Attrs

Optional attribute setters for ScatterNdUpdate.

## Public attributes

### operation

Operation operation

### output_ref

::tensorflow::Output output_ref

## Public functions

### ScatterNdUpdate

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

### ScatterNdUpdate

 ScatterNdUpdate(
const ::tensorflow::Scope & scope,
::tensorflow::Input ref,
::tensorflow::Input indices,
::tensorflow::Input updates,
const ScatterNdUpdate::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
)
[]
[]