RngReadAndSkip

public final class RngReadAndSkip

Advance the counter of a counter-based RNG.

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

Constants

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

Public Methods

Output<TInt64>	asOutput() Returns the symbolic handle of the tensor.
static RngReadAndSkip	create(Scope scope, Operand<?> resource, Operand<TInt32> alg, Operand<?> delta) Factory method to create a class wrapping a new RngReadAndSkip operation.
Output<TInt64>	value() The old value of the resource variable, before incrementing.

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`.

From interface org.tensorflow.Operand

abstract Output<TInt64>	asOutput() Returns the symbolic handle of the tensor.
abstract TInt64	asTensor() Returns the tensor at this operand.
abstract Shape	shape() Returns the (possibly partially known) shape of the tensor referred to by the `Output` of this operand.
abstract Class<TInt64>	type() Returns the tensor type of this operand

From interface org.tensorflow.ndarray.Shaped

abstract int	rank()
abstract Shape	shape()
abstract long	size() Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

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

Constant Value: "RngReadAndSkip"

Public Methods

public Output<TInt64> 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 RngReadAndSkip create (Scope scope, Operand<?> resource, Operand<TInt32> alg, Operand<?> delta)

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

Parameters

scope	current scope
resource	The handle of the resource variable that stores the state of the RNG.
alg	The RNG algorithm.
delta	The amount of advancement.

Returns

a new instance of RngReadAndSkip

public Output<TInt64> value ()

The old value of the resource variable, before incrementing. Since state size is algorithm-dependent, this output will be right-padded with zeros to reach shape int64[3] (the current maximal state size among algorithms).