AssignAdd

public final class AssignAdd

Update 'ref' by adding 'value' to it.

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

Nested Classes

class AssignAdd.Options Optional attributes for AssignAdd  

Public Methods

Output<T>
asOutput()
Returns the symbolic handle of a tensor.
static <T> AssignAdd<T>
create(Scope scope, Operand<T> ref, Operand<T> value, Options... options)
Factory method to create a class wrapping a new AssignAdd operation.
Output<T>
outputRef()
= Same as "ref".
static AssignAdd.Options
useLocking(Boolean useLocking)

Inherited Methods

org.tensorflow.op.PrimitiveOp
final boolean
equals(Object obj)
final int
hashCode()
Operation
op()
Returns the underlying Operation
final String
toString()
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()
org.tensorflow.Operand
abstract Output<T>
asOutput()
Returns the symbolic handle of a tensor.

Public Methods

public Output<T> asOutput ()

Returns the symbolic handle of a tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static AssignAdd<T> create (Scope scope, Operand<T> ref, Operand<T> value, Options... options)

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

Parameters
scope current scope
ref Should be from a `Variable` node.
value The value to be added to the variable.
options carries optional attributes values
Returns
  • a new instance of AssignAdd

public Output<T> outputRef ()

= Same as "ref". Returned as a convenience for operations that want to use the new value after the variable has been updated.

public static AssignAdd.Options useLocking (Boolean useLocking)

Parameters
useLocking If True, the addition will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.