org.tensorflow.op.io

Class RandomShuffleQueue

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.io.RandomShuffleQueue

All Implemented Interfaces:

Op, Operand<Object>

@Operator(group="io")
public final class RandomShuffleQueue
extends PrimitiveOp
implements Operand<Object>

A queue that randomizes the order of elements.

Nested Class Summary

Nested Classes

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

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
Output<Object>	asOutput() Returns the symbolic handle of a tensor.
static RandomShuffleQueue.Options	capacity(Long capacity)
static RandomShuffleQueue.Options	container(String container)
static RandomShuffleQueue	create(Scope scope, List<Class<?>> componentTypes, RandomShuffleQueue.Options... options) Factory method to create a class wrapping a new RandomShuffleQueue operation.
Output<?>	handle() The handle to the queue.
static RandomShuffleQueue.Options	minAfterDequeue(Long minAfterDequeue)
static RandomShuffleQueue.Options	seed(Long seed)
static RandomShuffleQueue.Options	seed2(Long seed2)
static RandomShuffleQueue.Options	shapes(List<Shape> shapes)
static RandomShuffleQueue.Options	sharedName(String sharedName)

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 RandomShuffleQueue create(Scope scope,
                                        List<Class<?>> componentTypes,
                                        RandomShuffleQueue.Options... options)

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

Parameters:

scope - current scope

componentTypes - The type of each component in a value.

options - carries optional attributes values

Returns:

a new instance of RandomShuffleQueue

shapes

public static RandomShuffleQueue.Options shapes(List<Shape> shapes)

Parameters:

shapes - The shape of each component in a value. The length of this attr must be either 0 or the same as the length of component_types. If the length of this attr is 0, the shapes of queue elements are not constrained, and only one element may be dequeued at a time.

capacity

public static RandomShuffleQueue.Options capacity(Long capacity)

Parameters:

capacity - The upper bound on the number of elements in this queue. Negative numbers mean no limit.

minAfterDequeue

public static RandomShuffleQueue.Options minAfterDequeue(Long minAfterDequeue)

Parameters:

minAfterDequeue - Dequeue will block unless there would be this many elements after the dequeue or the queue is closed. This ensures a minimum level of mixing of elements.

seed

public static RandomShuffleQueue.Options seed(Long seed)

Parameters:

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

seed2

public static RandomShuffleQueue.Options seed2(Long seed2)

Parameters:

seed2 - A second seed to avoid seed collision.

container

public static RandomShuffleQueue.Options container(String container)

Parameters:

container - If non-empty, this queue is placed in the given container. Otherwise, a default container is used.

sharedName

public static RandomShuffleQueue.Options sharedName(String sharedName)

Parameters:

sharedName - If non-empty, this queue will be shared under the given name across multiple sessions.

handle

public Output<?> handle()

The handle to the queue.

asOutput

public Output<Object> 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<Object>

See Also:

OperationBuilder.addInput(Output)