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

From class 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()

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.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