org.tensorflow.op.random

Class RandomShuffle<T>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.random.RandomShuffle<T>

Type Parameters:

T - data type for output() output

All Implemented Interfaces:

Op, Operand<T>

@Operator(group="random")
public final class RandomShuffle<T>
extends PrimitiveOp
implements Operand<T>

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 Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	RandomShuffle.Options Optional attributes for RandomShuffle

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
Output<T>	asOutput() Returns the symbolic handle of a tensor.
static <T> RandomShuffle<T>	create(Scope scope, Operand<T> value, RandomShuffle.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)

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, op, toString

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Method Detail

create

public static <T> RandomShuffle<T> create(Scope scope,
                                          Operand<T> value,
                                          RandomShuffle.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

seed

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.

seed2

public static RandomShuffle.Options seed2(Long seed2)

Parameters:

seed2 - A second seed to avoid seed collision.

output

public Output<T> output()

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

asOutput

public Output<T> asOutput()

Description copied from interface: Operand

Returns the symbolic handle of a 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.

Specified by:

asOutput in interface Operand<T>

See Also:

OperationBuilder.addInput(Output)