# 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  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 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.

See also  tf.scatter_update  and  tf.batch_scatter_update  .

Args:

• 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,
)

### ScatterNdUpdate

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