Assign

public final class Assign

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

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

Nested Classes

class

Assign.Options

Optional attributes for Assign

Public Methods

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

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.

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 Assign<T> create (Scope scope, Operand<T> ref, Operand<T> value, Options... options)

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

Parameters

scope	current scope
ref	Should be from a `Variable` node. May be uninitialized.
value	The value to be assigned to the variable.
options	carries optional attributes values

Returns

• a new instance of Assign

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 reset.

public static Assign.Options useLocking (Boolean useLocking)

Parameters

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

public static Assign.Options validateShape (Boolean validateShape)

Parameters

validateShape	If true, the operation will validate that the shape of 'value' matches the shape of the Tensor being assigned to. If false, 'ref' will take on the shape of 'value'.