Update 'ref' by subtracting 'value' from 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 | AssignSub.Options | Optional attributes for AssignSub
|
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> AssignSub<T> |
create(Scope scope, Operand<T> ref, Operand<T> value, Options... options)
Factory method to create a class wrapping a new AssignSub operation.
|
Output<T> |
outputRef()
= Same as "ref".
|
static AssignSub.Options |
useLocking(Boolean useLocking)
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
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 AssignSub<T> create (Scope scope, Operand<T> ref, Operand<T> value, Options... options)
Factory method to create a class wrapping a new AssignSub operation.
Parameters
scope | current scope |
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ref | Should be from a `Variable` node. |
value | The value to be subtracted to the variable. |
options | carries optional attributes values |
Returns
- a new instance of AssignSub
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 AssignSub.Options useLocking (Boolean useLocking)
Parameters
useLocking | If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention. |
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