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

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.
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
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).