ScatterUpdate

Applies sparse updates to a variable reference.

This operation computes

# Scalar indices
     ref[indices, ...] = updates[...]
 
     # Vector indices (for each i)
     ref[indices[i], ...] = updates[i, ...]
 
     # High rank indices (for each i, ..., j)
     ref[indices[i, ..., j], ...] = updates[i, ..., j, ...]
 

This operation outputs `ref` after the update is done. This makes it easier to chain operations that need to use the reset value.

If values in `ref` is to be updated more than once, because there are duplicate entries in `indices`, the order at which the updates happen for each value is undefined.

Requires `updates.shape = indices.shape + ref.shape[1:]` or `updates.shape = []`.

See also `tf.batch_scatter_update` and `tf.scatter_nd_update`.

Nested Classes

class

ScatterUpdate.Options

Optional attributes for ScatterUpdate

Constants

String

OP_NAME

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

Public Methods

Output<T>	asOutput() Returns the symbolic handle of the tensor.
static <T extends TType> ScatterUpdate<T>	create(Scope scope, Operand<T> ref, Operand<? extends TNumber> indices, Operand<T> updates, Options... options) Factory method to create a class wrapping a new ScatterUpdate operation.
Output<T>	outputRef() = Same as `ref`.
static ScatterUpdate.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.

From interface org.tensorflow.Operand

abstract Output<T>	asOutput() Returns the symbolic handle of the tensor.
abstract T	asTensor() Returns the tensor at this operand.
abstract Shape	shape() Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<T>	type() Returns the tensor type of this operand

From interface org.tensorflow.ndarray.Shaped

abstract int	rank()
abstract Shape	shape()
abstract long	size() Computes and returns the total size of this container, in number of values.