ResourceApplyGradientDescent

public final class ResourceApplyGradientDescent

Update '*var' by subtracting 'alpha' * 'delta' from it.

Nested Classes

class ResourceApplyGradientDescent.Options Optional attributes for ResourceApplyGradientDescent  

Constants

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

Public Methods

static <T extends TType> ResourceApplyGradientDescent
create(Scope scope, Operand<?> var, Operand<T> alpha, Operand<T> delta, Options... options)
Factory method to create a class wrapping a new ResourceApplyGradientDescent operation.
static ResourceApplyGradientDescent.Options
useLocking(Boolean useLocking)

Inherited Methods

org.tensorflow.op.RawOp
final boolean
equals(Object obj)
final int
hashCode()
Operation
op()
Return this unit of computation as a single 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.op.Op
abstract ExecutionEnvironment
env()
Return the execution environment this op was created in.
abstract Operation
op()
Return this unit of computation as a single Operation.

Constants

public static final String OP_NAME

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

Constant Value: "ResourceApplyGradientDescent"

Public Methods

public static ResourceApplyGradientDescent create (Scope scope, Operand<?> var, Operand<T> alpha, Operand<T> delta, Options... options)

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

Parameters
scope current scope
var Should be from a Variable().
alpha Scaling factor. Must be a scalar.
delta The change.
options carries optional attributes values
Returns
  • a new instance of ResourceApplyGradientDescent

public static ResourceApplyGradientDescent.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.