RngSkip

public final class RngSkip

Advance the counter of a counter-based RNG.

The state of the RNG after `rng_skip(n)` will be the same as that after `stateful_uniform([n])` (or any other distribution). The actual increment added to the counter is an unspecified implementation detail.

Constants

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

Public Methods

static RngSkip
create(Scope scope, Operand<?> resource, Operand<TInt64> algorithm, Operand<TInt64> delta)
Factory method to create a class wrapping a new RngSkip operation.

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: "RngSkip"

Public Methods

public static RngSkip create (Scope scope, Operand<?> resource, Operand<TInt64> algorithm, Operand<TInt64> delta)

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

Parameters
scope current scope
resource The handle of the resource variable that stores the state of the RNG.
algorithm The RNG algorithm.
delta The amount of advancement.
Returns
  • a new instance of RngSkip