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  

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> 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

Constants

public static final String OP_NAME

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

Constant Value: "AssignAdd"

Public Methods

public Output<T> asOutput ()

Returns the symbolic handle of the 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.