ResourceScatterNdUpdate

public final class ResourceScatterNdUpdate

Applies sparse `updates` to individual values or slices 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 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.

Nested Classes

class

ResourceScatterNdUpdate.Options

Optional attributes for ResourceScatterNdUpdate

Constants

String

OP_NAME

The name of this op, as known by TensorFlow core engine

Public Methods

static ResourceScatterNdUpdate	create(Scope scope, Operand<?> ref, Operand<? extends TNumber> indices, Operand<? extends TType> updates, Options... options) Factory method to create a class wrapping a new ResourceScatterNdUpdate operation.
static ResourceScatterNdUpdate.Options	useLocking(Boolean useLocking)

Inherited Methods

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single Operation.
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single Operation.

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "ResourceScatterNdUpdate"

Public Methods

public static ResourceScatterNdUpdate create (Scope scope, Operand<?> ref, Operand<? extends TNumber> indices, Operand<? extends TType> updates, Options... options)

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

Parameters

scope	current scope
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.
options	carries optional attributes values

Returns

• a new instance of ResourceScatterNdUpdate

public static ResourceScatterNdUpdate.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.