ScatterMul

Multiplies sparse updates into 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.

Duplicate entries are handled correctly: if multiple `indices` reference the same location, their contributions multiply.

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

Nested Classes

class

ScatterMul.Options

Optional attributes for ScatterMul

Public Methods

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

Inherited Methods

From class org.tensorflow.op.PrimitiveOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Returns the underlying 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.Operand

abstract Output<T>

asOutput() Returns the symbolic handle of a tensor.