RandomShuffle

public final class RandomShuffle

Randomly shuffles a tensor along its first dimension.

The tensor is shuffled along dimension 0, such that each `value[j]` is mapped to one and only one `output[i]`. For example, a mapping that might occur for a 3x2 tensor is:

[[1, 2],       [[5, 6],
  [3, 4],  ==>   [1, 2],
  [5, 6]]        [3, 4]]
 

Nested Classes

class

RandomShuffle.Options

Optional attributes for RandomShuffle

Constants

String

OP_NAME

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

Public Methods

Output<T>	asOutput() Returns the symbolic handle of the tensor.
static <T extends TType> RandomShuffle<T>	create(Scope scope, Operand<T> value, Options... options) Factory method to create a class wrapping a new RandomShuffle operation.
Output<T>	output() A tensor of same shape and type as `value`, shuffled along its first dimension.
static RandomShuffle.Options	seed(Long seed)
static RandomShuffle.Options	seed2(Long seed2)

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<T>	asOutput() Returns the symbolic handle of the tensor.
abstract T	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<T>	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: "RandomShuffle"

Public Methods

public Output<T> 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 RandomShuffle<T> create (Scope scope, Operand<T> value, Options... options)

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

Parameters

scope	current scope
value	The tensor to be shuffled.
options	carries optional attributes values

Returns

• a new instance of RandomShuffle

public Output<T> output ()

A tensor of same shape and type as `value`, shuffled along its first dimension.

public static RandomShuffle.Options seed (Long seed)

Parameters

seed	If either `seed` or `seed2` are set to be non-zero, the random number generator is seeded by the given seed. Otherwise, it is seeded by a random seed.

public static RandomShuffle.Options seed2 (Long seed2)

Parameters

seed2	A second seed to avoid seed collision.